c-ho/task2_prompt_test_set_Book_en_ · Datasets at Hugging Face

3A169787102X.jsonld

Understanding injection molds

"Understanding Injection Molds" opens up the entire subject of injection mold technology, including numerous special procedures, in a well-grounded and practical way. It is specifically intended for beginners, young professionals, business owners, and engineering students. The chapters are clearly structured and easy to understand. The book is designed so that it provides a complete basic knowledge of injection molds in chronological order as well as day-to-day guidance and advice. The numerous color figures facilitate a rapid understanding of the content, which is especially helpful to the beginner who wants to learn about injection molds quickly. In the forefront of the description are thermoplastic molds. Divergent processes for thermoset or elastomer molds are explained at the end of each chapter. This book captures the current state of the art, and is written by authors who are specialists in the field. The second edition has been updated and improved throughout. Dipl.-Ing. Harry Pruner is Managing Director of Pruner Marketing Services GmbH. Wolfgang Nesch was a master toolmaker for more than 30 years in the field of application technology, injection molding tools, at Ferromatik Milacron.

[ "['cet']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Understanding injection molds - Document Abstract: "Understanding Injection Molds" opens up the entire subject of injection mold technology, including numerous special procedures, in a well-grounded and practical way. It is specifically intended for beginners, young professionals, business owners, and engineering students. The chapters are clearly structured and easy to understand. The book is designed so that it provides a complete basic knowledge of injection molds in chronological order as well as day-to-day guidance and advice. The numerous color figures facilitate a rapid understanding of the content, which is especially helpful to the beginner who wants to learn about injection molds quickly. In the forefront of the description are thermoplastic molds. Divergent processes for thermoset or elastomer molds are explained at the end of each chapter. This book captures the current state of the art, and is written by authors who are specialists in the field. The second edition has been updated and improved throughout. Dipl.-Ing. Harry Pruner is Managing Director of Pruner Marketing Services GmbH. Wolfgang Nesch was a master toolmaker for more than 30 years in the field of application technology, injection molding tools, at Ferromatik Milacron. - Document LIN Search class: ['cet'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1614720444.jsonld

Reforms in Islamic education : international perspectives

"In recent times, there has been intense global interest on and scrutiny of Islamic education. In reforming Islamic schools, what are the key actions initiated and are they contested or negotiated by and among Muslims?This edited collection brings together leading scholars to explore current reforms in Islamic schools. Drawing together international case studies, Reforms in Islamic Education critically discusses the reforms, considering the motivations for them, nature of them and perceptions and experiences of people affected by them. The contributors also explore the tensions, resistance, contestations and negotiations between Muslims and non-Muslims, and among Muslims, in relation to the reforms.Highlighting the need to understand and critique reforms in Islamic schools within broad historical, political and socio-cultural contexts, this book is a valuable resource for academics, policymakers and educators"-- "In recent times, there has been intense global interest on and scrutiny of Islamic education. In reforming Islamic schools, what are the key actions initiated and are they contested or negotiated by and among Muslims? This edited collection brings together leading scholars to explore current reforms in Islamic schools. Drawing together international case studies, Reforms in Islamic Education critically discusses the reforms, considering the motivations for them, nature of them and perceptions and experiences of people affected by them. The contributors also explore the tensions, resistance, contestations and negotiations between Muslims and non-Muslims, and among Muslims, in relation to the reforms. Highlighting the need to understand and critique reforms in Islamic schools within broad historical, political and socio-cultural contexts, this book is a valuable resource for academics, policymakers and educators"--

[ "['rel']", "['pae']", "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Reforms in Islamic education : international perspectives - Document Abstract: "In recent times, there has been intense global interest on and scrutiny of Islamic education. In reforming Islamic schools, what are the key actions initiated and are they contested or negotiated by and among Muslims?This edited collection brings together leading scholars to explore current reforms in Islamic schools. Drawing together international case studies, Reforms in Islamic Education critically discusses the reforms, considering the motivations for them, nature of them and perceptions and experiences of people affected by them. The contributors also explore the tensions, resistance, contestations and negotiations between Muslims and non-Muslims, and among Muslims, in relation to the reforms.Highlighting the need to understand and critique reforms in Islamic schools within broad historical, political and socio-cultural contexts, this book is a valuable resource for academics, policymakers and educators"-- "In recent times, there has been intense global interest on and scrutiny of Islamic education. In reforming Islamic schools, what are the key actions initiated and are they contested or negotiated by and among Muslims? This edited collection brings together leading scholars to explore current reforms in Islamic schools. Drawing together international case studies, Reforms in Islamic Education critically discusses the reforms, considering the motivations for them, nature of them and perceptions and experiences of people affected by them. The contributors also explore the tensions, resistance, contestations and negotiations between Muslims and non-Muslims, and among Muslims, in relation to the reforms. Highlighting the need to understand and critique reforms in Islamic schools within broad historical, political and socio-cultural contexts, this book is a valuable resource for academics, policymakers and educators"-- - Document LIN Search class: ['rel'], ['pae'], ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1703322525.jsonld

Shipwrecked : disaster and transformation in Homer, Shakespeare, Defoe, and the modern world

Shipwrecked: Disaster and Transformation in Homer, Shakespeare, Defoe, and the Modern World presents the first comparative study of notable literary shipwrecks from the past four thousand years, focusing on Homer’s Odyssey, Shakespeare’s The Tempest, and Defoe’s Robinson Crusoe. James V. Morrison considers the historical context as well as the “triggers” (such as the 1609 Bermuda shipwreck) that inspired some of these works, and modern responses such as novels (Golding’s Lord of the Flies, Coetzee’s Foe, and Gordon’s First on Mars, a science fiction version of the Crusoe story), movies, television (Forbidden Planet, Cast Away, and Lost), and the poetry and plays of Caribbean poets Derek Walcott and Aimé Césaire. The recurrent treatment of shipwrecks in the creative arts demonstrates an enduring fascination with this archetypal scene: a shipwreck survivor confronting the elements. It is remarkable, for example, that the characters in the 2004 television show Lostshare so many features with those from Homer’s Odyssey and Shakespeare’s The Tempest. For survivors who are stranded on an island for some period of time, shipwrecks often present the possibility of a change in political and social status—as well as romance and even paradise. In each of the major shipwreck narratives examined, the poet or novelist links the castaways’ arrival on a new shore with the possibility of a new sort of life. Readers will come to appreciate the shift in attitude toward the opportunities offered by shipwreck: older texts such as the Odyssey reveals a trajectory of returning to the previous order. In spite of enticing new temptations, Odysseus—and some of the survivors in The Tempest—revert to their previous lives, rejecting what many might consider paradise. Odysseus is reestablished as king; Prospero travels back to Milan. In such situations, we may more properly speak of potential transformations. In contrast, many recent shipwreck narratives instead embrace the possibility of a new sort of existence. That even now the shipwreck theme continues to be treated, in multiple media, testifies to its long-lasting appeal to a very wide audience.

[ "['lit']", "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Shipwrecked : disaster and transformation in Homer, Shakespeare, Defoe, and the modern world - Document Abstract: Shipwrecked: Disaster and Transformation in Homer, Shakespeare, Defoe, and the Modern World presents the first comparative study of notable literary shipwrecks from the past four thousand years, focusing on Homer’s Odyssey, Shakespeare’s The Tempest, and Defoe’s Robinson Crusoe. James V. Morrison considers the historical context as well as the “triggers” (such as the 1609 Bermuda shipwreck) that inspired some of these works, and modern responses such as novels (Golding’s Lord of the Flies, Coetzee’s Foe, and Gordon’s First on Mars, a science fiction version of the Crusoe story), movies, television (Forbidden Planet, Cast Away, and Lost), and the poetry and plays of Caribbean poets Derek Walcott and Aimé Césaire. The recurrent treatment of shipwrecks in the creative arts demonstrates an enduring fascination with this archetypal scene: a shipwreck survivor confronting the elements. It is remarkable, for example, that the characters in the 2004 television show Lostshare so many features with those from Homer’s Odyssey and Shakespeare’s The Tempest. For survivors who are stranded on an island for some period of time, shipwrecks often present the possibility of a change in political and social status—as well as romance and even paradise. In each of the major shipwreck narratives examined, the poet or novelist links the castaways’ arrival on a new shore with the possibility of a new sort of life. Readers will come to appreciate the shift in attitude toward the opportunities offered by shipwreck: older texts such as the Odyssey reveals a trajectory of returning to the previous order. In spite of enticing new temptations, Odysseus—and some of the survivors in The Tempest—revert to their previous lives, rejecting what many might consider paradise. Odysseus is reestablished as king; Prospero travels back to Milan. In such situations, we may more properly speak of potential transformations. In contrast, many recent shipwreck narratives instead embrace the possibility of a new sort of existence. That even now the shipwreck theme continues to be treated, in multiple media, testifies to its long-lasting appeal to a very wide audience. - Document LIN Search class: ['lit'], ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1656492687.jsonld

The SAGE handbook of research on teacher education

The SAGE handbook of research on teacher education offers an ambitious and international overview of the current landscape of teacher education research, as well as the imagined futures. The two volumes are divided into sub-sections: Section one: Mapping the landscape of teacher education, Section two: Learning teacher identity in teacher education, Section three: Learning teacher agency in teacher education, Section four: Learning moral & ethical responsibilities of teaching in teacher education, Section five: Learning to negotiate social, political, and cultural responsibilities of teaching in teacher education, Section six: Learning through pedagogies in teacher education, Section seven: Learning the contents of teaching in teacher education, Section eight: Learning professional competencies in teacher education and throughout the career, Section nine: Learning with and from assessments in teacher

[ "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The SAGE handbook of research on teacher education - Document Abstract: The SAGE handbook of research on teacher education offers an ambitious and international overview of the current landscape of teacher education research, as well as the imagined futures. The two volumes are divided into sub-sections: Section one: Mapping the landscape of teacher education, Section two: Learning teacher identity in teacher education, Section three: Learning teacher agency in teacher education, Section four: Learning moral & ethical responsibilities of teaching in teacher education, Section five: Learning to negotiate social, political, and cultural responsibilities of teaching in teacher education, Section six: Learning through pedagogies in teacher education, Section seven: Learning the contents of teaching in teacher education, Section eight: Learning professional competencies in teacher education and throughout the career, Section nine: Learning with and from assessments in teacher - Document LIN Search class: ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1694773000.jsonld

Global education policy and international development : new agendas, issues, and policies

Global education policy and international development: an introductory framework / Antoni Verger, Mario Novelli and Hülya K. Altinyelken -- Researching global education policy: angles in/on/out / Susan L. Robertson -- Participation in international development and education governance / Donald Brent Edwards and Stephen Klees -- Silences, stereotypes and local selection : negotiating policy and practice to implement the MDGS and EFA / Elaine Unterhalter -- Education decentralisation in South Africa and Zimbabwe: the gap between intention and practice / Daryl Stenvoll-Wells and Yusuf Sayed -- Implementing global policies in African countries: conceiving lifelong learning as basic education / Anja P. Jakobi -- Conditional cash transfers in education for development: emergence, policy dilemmas, and diversity of impacts / Xavier Bonal, Aina Tarabini and Xavier Rambla -- School-based management in post-conflict Central America: undermining civil society and making the poorest parents pay / Margriet Poppema -- Ethnic/racial diversity and education policy: the role of the black movement and multi-scalar processes within the public agenda in Brazil / Renato Emerson dos Santos and Inti Maya Soeterik -- A converging pedagogy in the developing world?: insights from Uganda and Turkey / Hülya Kosar Altinyelken -- Globalizing educational interventions in zones of conflict: the role of Dutch aid to education and conflict / Mario Novelli and MTA Lopes Cardozo -- The national politics of global policies: public-private partnerships in Indian education / Antoni Verger and Sanne VanderKaaij -- Measuring and interpreting re-contextualization: a commentary / Gita Steiner-Khamsi -- Global education policy: creating different constituencies of interest and different modes of valorisation / Roger Dale.

[ "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Global education policy and international development : new agendas, issues, and policies - Document Abstract: Global education policy and international development: an introductory framework / Antoni Verger, Mario Novelli and Hülya K. Altinyelken -- Researching global education policy: angles in/on/out / Susan L. Robertson -- Participation in international development and education governance / Donald Brent Edwards and Stephen Klees -- Silences, stereotypes and local selection : negotiating policy and practice to implement the MDGS and EFA / Elaine Unterhalter -- Education decentralisation in South Africa and Zimbabwe: the gap between intention and practice / Daryl Stenvoll-Wells and Yusuf Sayed -- Implementing global policies in African countries: conceiving lifelong learning as basic education / Anja P. Jakobi -- Conditional cash transfers in education for development: emergence, policy dilemmas, and diversity of impacts / Xavier Bonal, Aina Tarabini and Xavier Rambla -- School-based management in post-conflict Central America: undermining civil society and making the poorest parents pay / Margriet Poppema -- Ethnic/racial diversity and education policy: the role of the black movement and multi-scalar processes within the public agenda in Brazil / Renato Emerson dos Santos and Inti Maya Soeterik -- A converging pedagogy in the developing world?: insights from Uganda and Turkey / Hülya Kosar Altinyelken -- Globalizing educational interventions in zones of conflict: the role of Dutch aid to education and conflict / Mario Novelli and MTA Lopes Cardozo -- The national politics of global policies: public-private partnerships in Indian education / Antoni Verger and Sanne VanderKaaij -- Measuring and interpreting re-contextualization: a commentary / Gita Steiner-Khamsi -- Global education policy: creating different constituencies of interest and different modes of valorisation / Roger Dale. - Document LIN Search class: ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A865399212.jsonld

The Cambridge companion to Frankenstein

Machine generated contents note: Introduction Andrew Smith; Part I. Historical and Literary Contexts. Frankenstein: its composition and publication / Charles E. Robinson -- Contextualising sources / Lisa Vargo -- Romantic contexts / Jerrold E. Hogle -- The context of the novel / Catherine Lanone -- Scientific contexts / Andrew Smith -- Frankenstein's politics / Adriana Craciun. Part II. Theories and Forms. The female Gothic / Angela Wright -- What is queer about Frankenstein? / George E. Haggerty -- Race and Frankenstein / Patrick Brantlinger -- Frankenstein and ecocriticism / Timothy Morton -- The posthuman / Andy Mousley. Part III. Adaptations. Dramatic adaptations of Frankenstein / Diane Long Hoeveler -- Frankenstein and film / Mark Jancovich -- Literature / David Punter -- Frankenstein in comics and graphic novels / Christopher Murray -- Growing up Frankenstein: adaptations for young readers / Karen Coats and Farran Norris Sands "The Cambridge Companion to Frankenstein consists of sixteen original essays on Mary Shelley's novel by leading scholars, providing an invaluable introduction to Frankenstein and its various critical contexts. Theoretically informed but accessibly written, this volume relates Frankenstein to various social, literary, scientific and historical contexts, and outlines how critical theories such as ecocriticism, posthumanism, and queer theory generate new and important discussion in illuminating ways. The volume also explores the cultural afterlife of the novel including its adaptations in various media such as drama, film, television, graphic novels, and literature aimed at children and young adults. Written by an international team of leading experts, the essays provide new insights into the novel and the various critical approaches which can be applied to it. The volume is an essential guide to students and academics who are interested in Frankenstein and who wish to know more about its complex literary history"--

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Cambridge companion to Frankenstein - Document Abstract: Machine generated contents note: Introduction Andrew Smith; Part I. Historical and Literary Contexts. Frankenstein: its composition and publication / Charles E. Robinson -- Contextualising sources / Lisa Vargo -- Romantic contexts / Jerrold E. Hogle -- The context of the novel / Catherine Lanone -- Scientific contexts / Andrew Smith -- Frankenstein's politics / Adriana Craciun. Part II. Theories and Forms. The female Gothic / Angela Wright -- What is queer about Frankenstein? / George E. Haggerty -- Race and Frankenstein / Patrick Brantlinger -- Frankenstein and ecocriticism / Timothy Morton -- The posthuman / Andy Mousley. Part III. Adaptations. Dramatic adaptations of Frankenstein / Diane Long Hoeveler -- Frankenstein and film / Mark Jancovich -- Literature / David Punter -- Frankenstein in comics and graphic novels / Christopher Murray -- Growing up Frankenstein: adaptations for young readers / Karen Coats and Farran Norris Sands "The Cambridge Companion to Frankenstein consists of sixteen original essays on Mary Shelley's novel by leading scholars, providing an invaluable introduction to Frankenstein and its various critical contexts. Theoretically informed but accessibly written, this volume relates Frankenstein to various social, literary, scientific and historical contexts, and outlines how critical theories such as ecocriticism, posthumanism, and queer theory generate new and important discussion in illuminating ways. The volume also explores the cultural afterlife of the novel including its adaptations in various media such as drama, film, television, graphic novels, and literature aimed at children and young adults. Written by an international team of leading experts, the essays provide new insights into the novel and the various critical approaches which can be applied to it. The volume is an essential guide to students and academics who are interested in Frankenstein and who wish to know more about its complex literary history"-- - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1652219439.jsonld

Tea in health and disease prevention

While there have been many claims of the benefits of teas through the years, and while there is nearly universal agreement that drinking tea can benefit health, there is still a concern over whether the lab-generated results are representative of real-life benefit, what the risk of toxicity might be, and what the effective-level thresholds are for various purposes. Clearly there are still questions about the efficacy and use of tea for health benefit. This book presents a comprehensive look at the compounds in black, green, and white teas, their reported benefits (or toxicity risks) and also explores them on a health-condition specific level, providing researchers and academics with a single-volume resource to help in identifying potential treatment uses. No other book on the market considers all the varieties of teas in one volume, or takes the disease-focused approach that will assist in directing further research and studies. Interdisciplinary presentation of material assists in identifying potential cross-over benefits and similarities between tea sources and diseases Assists in identifying therapeutic benefits for new product development Includes coverage and comparison of the most important types of tea - green, black and white

[ "['pae']", "['meda']", "['hor']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Tea in health and disease prevention - Document Abstract: While there have been many claims of the benefits of teas through the years, and while there is nearly universal agreement that drinking tea can benefit health, there is still a concern over whether the lab-generated results are representative of real-life benefit, what the risk of toxicity might be, and what the effective-level thresholds are for various purposes. Clearly there are still questions about the efficacy and use of tea for health benefit. This book presents a comprehensive look at the compounds in black, green, and white teas, their reported benefits (or toxicity risks) and also explores them on a health-condition specific level, providing researchers and academics with a single-volume resource to help in identifying potential treatment uses. No other book on the market considers all the varieties of teas in one volume, or takes the disease-focused approach that will assist in directing further research and studies. Interdisciplinary presentation of material assists in identifying potential cross-over benefits and similarities between tea sources and diseases Assists in identifying therapeutic benefits for new product development Includes coverage and comparison of the most important types of tea - green, black and white - Document LIN Search class: ['pae'], ['meda'], ['hor'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1006145931.jsonld

Linear algebra : a course for physicists and engineers

In order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements suc

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Linear algebra : a course for physicists and engineers - Document Abstract: In order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements suc - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A823459047.jsonld

Literature and fascination

Exploring literary fascination as a key concept of aesthetic attraction, this book illuminates the ways in which literary texts are designed, presented, and received. Detailed case studies include texts by William Shakespeare, S.T. Coleridge, Mary Shelley, Bram Stoker, Oscar Wilde, Joseph Conrad, Don DeLillo, and Ian McEwan.

[ "['lit']", "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Literature and fascination - Document Abstract: Exploring literary fascination as a key concept of aesthetic attraction, this book illuminates the ways in which literary texts are designed, presented, and received. Detailed case studies include texts by William Shakespeare, S.T. Coleridge, Mary Shelley, Bram Stoker, Oscar Wilde, Joseph Conrad, Don DeLillo, and Ian McEwan. - Document LIN Search class: ['lit'], ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A686291824.jsonld

Women's rights as multicultural claims : reconfiguring gender and diversity in political philosophy

How can one negotiate and integrate the claims of feminism and multiculturalism through a discourse of rights? This is a timely question: the apparent opposition between feminist and multicultural justice is a central problem in contemporary political theory. It also responds to a deep suspicion about invoking a political discourse that is accused of being either eurocentric, androcentric or both. In this book Monica Mookherjee draws on Iris Young's idea of 'gender as seriality' in order to reconfigure feminism in a way that responds to cultural diversity. She contends that a discourse of righ

[ "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Women's rights as multicultural claims : reconfiguring gender and diversity in political philosophy - Document Abstract: How can one negotiate and integrate the claims of feminism and multiculturalism through a discourse of rights? This is a timely question: the apparent opposition between feminist and multicultural justice is a central problem in contemporary political theory. It also responds to a deep suspicion about invoking a political discourse that is accused of being either eurocentric, androcentric or both. In this book Monica Mookherjee draws on Iris Young's idea of 'gender as seriality' in order to reconfigure feminism in a way that responds to cultural diversity. She contends that a discourse of righ - Document LIN Search class: ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1608746631.jsonld

Antike Spitzensportler : Athletenbiographien aus dem Alten Orient, Ägypten und Griechenland

This study gives a biographical account of 88 notable athletes from the ancient world, along with translations into German of the most important sources for the life of each athlete Alter OrientÄgypten zur Zeit der Pharaonen. Sportliche Könige ; Ein Königsgrab voller Sportgeräte ; Der Fall eines nichtköniglichen Spitzensportlers -- Griechenland. Mythos und Epos ; Die historische Zeit ; Athletenbiographien .

[ "['spo']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Antike Spitzensportler : Athletenbiographien aus dem Alten Orient, Ägypten und Griechenland - Document Abstract: This study gives a biographical account of 88 notable athletes from the ancient world, along with translations into German of the most important sources for the life of each athlete Alter OrientÄgypten zur Zeit der Pharaonen. Sportliche Könige ; Ein Königsgrab voller Sportgeräte ; Der Fall eines nichtköniglichen Spitzensportlers -- Griechenland. Mythos und Epos ; Die historische Zeit ; Athletenbiographien . - Document LIN Search class: ['spo'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A631074082.jsonld

Explicit communication : Robyn Carston's pragmatics

"This collection of essays brings about a current interdisciplinary debate on explicit communication. With Robyn Carston's pragmatics at the core of the discussion, special attention is drawn to linguistic underdeterminacy, the explicit/implicit divide and also to the construction or recruitment of concepts in on-line utterance comprehension, which is a particularly contentious area within the broader theme of the limits of explicitness in linguistic communication. Carston contributes with her current views and responds to some of the issues and criticisms raised"--Provided by publisher

[ "['lin']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Explicit communication : Robyn Carston's pragmatics - Document Abstract: "This collection of essays brings about a current interdisciplinary debate on explicit communication. With Robyn Carston's pragmatics at the core of the discussion, special attention is drawn to linguistic underdeterminacy, the explicit/implicit divide and also to the construction or recruitment of concepts in on-line utterance comprehension, which is a particularly contentious area within the broader theme of the limits of explicitness in linguistic communication. Carston contributes with her current views and responds to some of the issues and criticisms raised"--Provided by publisher - Document LIN Search class: ['lin'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A766195252.jsonld

Classification of Lipschitz mappings

'Classification of Lipschitz Mappings' presents a systematic, self-contained treatment of a new classification of Lipschitz mappings and its application in many topics of metric fixed point theory. Suitable for readers interested in metric fixed point theory, differential equations, and dynamical systems, the book only requires a basic background in functional analysis and topology. The author focuses on a more precise classification of Lipschitzian mappings--

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Classification of Lipschitz mappings - Document Abstract: 'Classification of Lipschitz Mappings' presents a systematic, self-contained treatment of a new classification of Lipschitz mappings and its application in many topics of metric fixed point theory. Suitable for readers interested in metric fixed point theory, differential equations, and dynamical systems, the book only requires a basic background in functional analysis and topology. The author focuses on a more precise classification of Lipschitzian mappings-- - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A729972232.jsonld

Fisheries : While Stocks Last?

The fish on your plate may have been caught by a high-tech trawler, trapped by a lone fisher, farmed along with tons of others, or even stolen by pirates. It may have been captured in the South Atlantic, landed in Europe, and processed in China. Globalisation, North-South relations, changing attitudes and lifestyles, and the way we manage natural resources all influence fisheries. This book uses the expertise of the OECD to assess these issues, and describes the challenges facing those who work in the industry. Apart from the fishers themselves and their families, it also draws on the points of view of NGOs, government specialists, scientists and independent experts. This book includes StatLinks, URLs under graphs and tables linking to Excel® spreadsheets showing the underlying data "We at International Aquafeed would recommend this to anyone involved in marine fishing and even to those in aquaculture to and aqua policy development as a foundation document for future decision-making. Well done Patrick Love." -The Aquaculturists Blog

[ "['hor']", "['bio']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Fisheries : While Stocks Last? - Document Abstract: The fish on your plate may have been caught by a high-tech trawler, trapped by a lone fisher, farmed along with tons of others, or even stolen by pirates. It may have been captured in the South Atlantic, landed in Europe, and processed in China. Globalisation, North-South relations, changing attitudes and lifestyles, and the way we manage natural resources all influence fisheries. This book uses the expertise of the OECD to assess these issues, and describes the challenges facing those who work in the industry. Apart from the fishers themselves and their families, it also draws on the points of view of NGOs, government specialists, scientists and independent experts. This book includes StatLinks, URLs under graphs and tables linking to Excel® spreadsheets showing the underlying data "We at International Aquafeed would recommend this to anyone involved in marine fishing and even to those in aquaculture to and aqua policy development as a foundation document for future decision-making. Well done Patrick Love." -The Aquaculturists Blog - Document LIN Search class: ['hor'], ['bio'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A086729861.jsonld

Special relationships : Anglo-American affinities and antagonisms 1854-1936

Did Mark Twain bring down the temple on Scott's shoulders? Susan Manning -- Stowe's sunny memories of Highland slavery Judie Newman -- Gothic legacies Anne-Marie Ford -- Our nig R.J. Ellis -- Crossing over Bridget Bennett -- Poet of comrades Carolyn Masel -- Nation making and fiction making Alison Easton -- Beyond the Americana Lindsey Traub -- If I were a man Janet Beer and Ann Heilmann -- Embattled tendencies Katherine Joslin -- Unreal cities and undead legacies Avril Horner and Sue Zlosnik -- Encounters with genius Kate Fullbrook This collection of essays by leading scholars of American literature and culture has emerged out of recent debates on the historical, geographical, symbolic, and cultural significance of the Atlantic, as well as new work in the area of Transatlantic Studies; 1800 - 1999

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Special relationships : Anglo-American affinities and antagonisms 1854-1936 - Document Abstract: Did Mark Twain bring down the temple on Scott's shoulders? Susan Manning -- Stowe's sunny memories of Highland slavery Judie Newman -- Gothic legacies Anne-Marie Ford -- Our nig R.J. Ellis -- Crossing over Bridget Bennett -- Poet of comrades Carolyn Masel -- Nation making and fiction making Alison Easton -- Beyond the Americana Lindsey Traub -- If I were a man Janet Beer and Ann Heilmann -- Embattled tendencies Katherine Joslin -- Unreal cities and undead legacies Avril Horner and Sue Zlosnik -- Encounters with genius Kate Fullbrook This collection of essays by leading scholars of American literature and culture has emerged out of recent debates on the historical, geographical, symbolic, and cultural significance of the Atlantic, as well as new work in the area of Transatlantic Studies; 1800 - 1999 - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A265892902.jsonld

Little book of streamlines

Klappentext: This annotated compilation depicts streamline patterns for a wide range of fluid flows. The collection facilitates on's own understanding of fluid motion under a variety of conditions, and allows the instructor to explain the physical concepts of fluid mechanics in a visual way. The majority of the patterns were generated using a FORTRAN program that allows the reader to compute what is shown in the pictures. The enclosed CD-ROM contains the source code and accompanying data files. Readers are encouraged experiment with the software by (a) modifying the data files to generate streamlines that originate from desired points, (b) adding additional flow selections to the nested menus, and (c) improving the accuracy of the numerical methods. Offers a unique collection of streamlines for every fluid mechanician's bookshelf. Complements traditional undergraduate and graduate textbooks on fluid mechanics. Includes software to provide hands-on experience in translating equations into computer programs and in generating flow patterns.

[ "['tec']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Little book of streamlines - Document Abstract: Klappentext: This annotated compilation depicts streamline patterns for a wide range of fluid flows. The collection facilitates on's own understanding of fluid motion under a variety of conditions, and allows the instructor to explain the physical concepts of fluid mechanics in a visual way. The majority of the patterns were generated using a FORTRAN program that allows the reader to compute what is shown in the pictures. The enclosed CD-ROM contains the source code and accompanying data files. Readers are encouraged experiment with the software by (a) modifying the data files to generate streamlines that originate from desired points, (b) adding additional flow selections to the nested menus, and (c) improving the accuracy of the numerical methods. Offers a unique collection of streamlines for every fluid mechanician's bookshelf. Complements traditional undergraduate and graduate textbooks on fluid mechanics. Includes software to provide hands-on experience in translating equations into computer programs and in generating flow patterns. - Document LIN Search class: ['tec'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1659251230.jsonld

New perspectives on research, policy & practice in public entrepreneurship

The term "entrepreneurship" has usually been associated with private sector activities. The term has appeared frequently in public sector literature, with scholars challenged to find new multi-disciplinary frameworks. This collection contributes to the debate due to a confusing array of terminology on creativity, innovation and entrepreneurship. Scholars and practitioners are looking for flexible and adaptable approaches to shaping organisations. Key challenges face public sector institutions and partners, and success will be dependent on how well the public sector finds new ways to deliver excellent public services, and leverage support and resources from non-state partners. Public sectors across the globe have a poor record on productivity despite a dramatic expansion in public expenditure, but the on-going global economic recession has brought into focus the "innovation and enterprise imperative" (Brown & Osborne, 2013). Innovation is embedded into daily routines and interactions with non-state actors, but these chapters illustrate ample evidence on how innovative actors can be. Scholars have contributed studies of flourishing innovation and enterprise in this important field.

[ "['sow']", "['oek']", "['jur']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: New perspectives on research, policy & practice in public entrepreneurship - Document Abstract: The term "entrepreneurship" has usually been associated with private sector activities. The term has appeared frequently in public sector literature, with scholars challenged to find new multi-disciplinary frameworks. This collection contributes to the debate due to a confusing array of terminology on creativity, innovation and entrepreneurship. Scholars and practitioners are looking for flexible and adaptable approaches to shaping organisations. Key challenges face public sector institutions and partners, and success will be dependent on how well the public sector finds new ways to deliver excellent public services, and leverage support and resources from non-state partners. Public sectors across the globe have a poor record on productivity despite a dramatic expansion in public expenditure, but the on-going global economic recession has brought into focus the "innovation and enterprise imperative" (Brown & Osborne, 2013). Innovation is embedded into daily routines and interactions with non-state actors, but these chapters illustrate ample evidence on how innovative actors can be. Scholars have contributed studies of flourishing innovation and enterprise in this important field. - Document LIN Search class: ['sow'], ['oek'], ['jur'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A592473740.jsonld

From body to meaning in culture : papers on cognitive semantic studies of Chinese

Section 1. Bodily experience in feeling and thinking -- Metaphorical expressions of anger and happiness in English and Chinese -- Body and emotion: body parts in Chinese expression of emotion -- Synesthetic metaphor: a cognitive perspective -- Chinese metaphors of thinking -- Section 2. External body parts in conceptualization -- The bodily dimension of meaning in Chinese: what do we do and mean with "hands?" -- Figurative uses of finger and palm in Chinese and English -- What does our face mean to US? -- The eyes for sight and mind -- Speech organs and linguistic activity and function -- Section 3. Internal body organs in conceptualization -- Metaphor, body, and culture: the Chinese understanding of gall bladder and courage -- Heart and cognition in ancient Chinese philosophy -- The Chinese conceptualization of the heart and its cultural context: implications for second language learning

[ "['lin']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: From body to meaning in culture : papers on cognitive semantic studies of Chinese - Document Abstract: Section 1. Bodily experience in feeling and thinking -- Metaphorical expressions of anger and happiness in English and Chinese -- Body and emotion: body parts in Chinese expression of emotion -- Synesthetic metaphor: a cognitive perspective -- Chinese metaphors of thinking -- Section 2. External body parts in conceptualization -- The bodily dimension of meaning in Chinese: what do we do and mean with "hands?" -- Figurative uses of finger and palm in Chinese and English -- What does our face mean to US? -- The eyes for sight and mind -- Speech organs and linguistic activity and function -- Section 3. Internal body organs in conceptualization -- Metaphor, body, and culture: the Chinese understanding of gall bladder and courage -- Heart and cognition in ancient Chinese philosophy -- The Chinese conceptualization of the heart and its cultural context: implications for second language learning - Document LIN Search class: ['lin'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A749153733.jsonld

Automatic Generation of Computer Animation : Using AI for Movie Animation

The cost of producing animated movies is very high, even with the use of computer graphics techniques. This book reports on the methodologies and the implementation of a software prototype called SWAN automating the production process by using artificial intelligence techniques. It supports the full life cycle from a children's story in natural language text form to the final animated movie. A cartoon produced by SWAN was already shown on CCTV (Chinese Central Television Station)

[ "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Automatic Generation of Computer Animation : Using AI for Movie Animation - Document Abstract: The cost of producing animated movies is very high, even with the use of computer graphics techniques. This book reports on the methodologies and the implementation of a software prototype called SWAN automating the production process by using artificial intelligence techniques. It supports the full life cycle from a children's story in natural language text form to the final animated movie. A cartoon produced by SWAN was already shown on CCTV (Chinese Central Television Station) - Document LIN Search class: ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1851988874.jsonld

She city : designing out women's inequity in cities

"Combining practical design strategies with urban theory, She City explores how gender inequity is materialized in cities worldwide, providing an activist toolkit for architects and urban designers to challenge gender bias, sexual harassment, and violence against women through their designs. Part I provides a contemporary survey of the current state of gender inequity in cities, revealing how one's gender impacts mobility, safety, and the ability to occupy public space. Focussing on the intersectional experiences of women and girls in the urban domain, this eye-opening theoretical groundwork exposes the impact of gender stereotypes and systemic power dynamics as they intersect with the architectural and urban fabric. Part II moves from theory to practice, examining a range of contemporary case studies - from positioning benches in public spaces to large-scale projects ensuring safety for sex workers - to show how better urban design can positively challenge gender inequity. Case studies are global - including New York, New Orleans, London, Zurich, Delhi, Cairo, Tokyo, and Bangkok - and range from collaborative co-designs with local women and girls, through to cutting-edge urban designs which actively contribute to women's access, security, and empowerment in the city. Case studies are critiqued and evaluated, to show what works and why, and to provide innovative and thought-provoking ideas for the designer wishing to make a positive impact"--

[ "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: She city : designing out women's inequity in cities - Document Abstract: "Combining practical design strategies with urban theory, She City explores how gender inequity is materialized in cities worldwide, providing an activist toolkit for architects and urban designers to challenge gender bias, sexual harassment, and violence against women through their designs. Part I provides a contemporary survey of the current state of gender inequity in cities, revealing how one's gender impacts mobility, safety, and the ability to occupy public space. Focussing on the intersectional experiences of women and girls in the urban domain, this eye-opening theoretical groundwork exposes the impact of gender stereotypes and systemic power dynamics as they intersect with the architectural and urban fabric. Part II moves from theory to practice, examining a range of contemporary case studies - from positioning benches in public spaces to large-scale projects ensuring safety for sex workers - to show how better urban design can positively challenge gender inequity. Case studies are global - including New York, New Orleans, London, Zurich, Delhi, Cairo, Tokyo, and Bangkok - and range from collaborative co-designs with local women and girls, through to cutting-edge urban designs which actively contribute to women's access, security, and empowerment in the city. Case studies are critiqued and evaluated, to show what works and why, and to provide innovative and thought-provoking ideas for the designer wishing to make a positive impact"-- - Document LIN Search class: ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A595950337.jsonld

Moral sentimentalism

Introduction -- Empathy : cement of the moral universe -- Introducing empathy -- Empathy, partiality, and morality -- Moral approval and disapproval -- Empathy in moral judgment -- A new kind of reference-fixing -- How to derive "ought" from "is" -- The use of moral judgments -- Between motive and morality -- Paternalism and patriarchy -- Respect -- Autonomy -- When is paternalism lustified? -- Justice -- The empathy in justice -- Distributive social justice -- International and global justice -- Empathy, objectivity, and rationality -- The focus of empathy -- Objectivity based in empathy -- Objectivity and empathic concern -- Relational objectivity -- Reason, emotion, and science

[ "['phi']", "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Moral sentimentalism - Document Abstract: Introduction -- Empathy : cement of the moral universe -- Introducing empathy -- Empathy, partiality, and morality -- Moral approval and disapproval -- Empathy in moral judgment -- A new kind of reference-fixing -- How to derive "ought" from "is" -- The use of moral judgments -- Between motive and morality -- Paternalism and patriarchy -- Respect -- Autonomy -- When is paternalism lustified? -- Justice -- The empathy in justice -- Distributive social justice -- International and global justice -- Empathy, objectivity, and rationality -- The focus of empathy -- Objectivity based in empathy -- Objectivity and empathic concern -- Relational objectivity -- Reason, emotion, and science - Document LIN Search class: ['phi'], ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1819060810.jsonld

The fusion of internet of things, artificial intelligence, and cloud computing in health care

This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT. Covers concepts of artificial intelligence and applications of computational intelligence, IoT and cloud computing in medical domain; Discusses how the fusion of Internet of Things, AI and cloud computing help in diagnosis, prediction, and storage of medical records in health care domain; Includes case studies throughout on applications of computational intelligence in healthcare data. . Introduction -- Remote Patient Monitoring Using IoT, Cloud Computing and AI -- The Internet of M-Health Things (m-IoT) -- Healthcare Data Storage Options Using Cloud -- Cloud-based telemedicine ecosystem and adoption of AI -- The benefits and risks of Integrating IoT, AI in cloud services for healthcare -- Pattern Imaging Analytics using Artificial Intelligence techniques -- Identifying Diseases and Diagnosis using Artificial Intelligence -- Robotic Surgery -- Personalized Treatment with the help of IoT Artificial Intelligence and cloud -- Predicting Epidemic Outbreaks using IoT Artificial Intelligence and Cloud -- Crowd sourced Data Collection -- Maintaining Healthcare Records using Cloud storage -- Privacy and Security issues in health care based IoT -- IoT Healthcare Applications -- Applications of AI, IoT and Cloud computing in battling COVID-19 -- Intelligent Health Informatics for Handling the COVID-19 Situation -- Conclusion.

[ "['meda']", "['mat']", "['med']", "['inf']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The fusion of internet of things, artificial intelligence, and cloud computing in health care - Document Abstract: This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT. Covers concepts of artificial intelligence and applications of computational intelligence, IoT and cloud computing in medical domain; Discusses how the fusion of Internet of Things, AI and cloud computing help in diagnosis, prediction, and storage of medical records in health care domain; Includes case studies throughout on applications of computational intelligence in healthcare data. . Introduction -- Remote Patient Monitoring Using IoT, Cloud Computing and AI -- The Internet of M-Health Things (m-IoT) -- Healthcare Data Storage Options Using Cloud -- Cloud-based telemedicine ecosystem and adoption of AI -- The benefits and risks of Integrating IoT, AI in cloud services for healthcare -- Pattern Imaging Analytics using Artificial Intelligence techniques -- Identifying Diseases and Diagnosis using Artificial Intelligence -- Robotic Surgery -- Personalized Treatment with the help of IoT Artificial Intelligence and cloud -- Predicting Epidemic Outbreaks using IoT Artificial Intelligence and Cloud -- Crowd sourced Data Collection -- Maintaining Healthcare Records using Cloud storage -- Privacy and Security issues in health care based IoT -- IoT Healthcare Applications -- Applications of AI, IoT and Cloud computing in battling COVID-19 -- Intelligent Health Informatics for Handling the COVID-19 Situation -- Conclusion. - Document LIN Search class: ['meda'], ['mat'], ['med'], ['inf'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1657647854.jsonld

Etiology and Morphogenesis of Congenital Heart Disease : From Gene Function and Cellular Interaction to Morphology

This volume focuses on the etiology and morphogenesis of congenital heart diseases. It reviews in detail the early development and differentiation of the heart, and later morphologic events of the cardiovascular system, covering a wide range of topics such as gene functions, growth factors, transcription factors and cellular interactions that are implicated in cardiac morphogenesis and congenital heart disease. This book also presents recent advances in stem cell and cell sheet tissue engineering technologies which have the potential to provide novel in vitro disease models and to generate regenerative paradigms for cardiac repair and regeneration. This is the ideal resource for physician scientists and investigators looking for updates on recent investigations on the origins of congenital heart disease and potential future therapies Part I. From Molecular Mechanism to Intervention for Congenital Heart Diseases, Now and Future -- Reprogramming Approaches to Cardiovascular Disease: From Developmental Biology to Regenerative Medicine -- The arterial epicardium, a developmental approach to cardiac disease and repair -- Cell sheet tissue engineering for heart failure -- Future treatment of heart failure and pathophysiological analysis of various heart diseases using human iPS cell-derived cardiomyocytes -- Congenital heart disease: in search of remedial etiologies -- Part II. Left-Right Axis and Heterotaxy Syndrome -- Left-right Asymmetry and Human Heterotaxy Syndrome -- Roles of motile and immotile cilia in left-right symmetry breaking -- Role of cilia and left-right patterning in congenital heart disease -- Pulmonary arterial hypertension in patients with heterotaxy /polysplenia syndrome -- Part III. Cardiomyocyte and Myocardial Development -- Single Cell Expression Analyses of Embryonic Cardiac Progenitor Cells -- Meis1 Regulates Post-Natal Cardiomyocyte Cell Cycle Arrest -- Intercellular signalling in cardiac development and disease: NOTCH -- The epicardium in ventricular septation during evolution and development -- S1P-S1p2 signaling in cardiac precursor cells migration -- Myogenic progenitor cell differentiation is dependent on modulation of mitochondrial biogenesis through autophagy -- The role of the thyroid in the developing heart -- Part IV. Valve Development and Diseases -- Atrioventricular valve abnormalities: From molecular mechanisms underlying morphogenesis to clinical perspective -- Molecular Mechanisms of Heart Valve Development and Disease -- A novel role for endocardium in perinatal valve development: Lessons learned from tissue specific gene deletion of the Tie1 receptor tyrosine kinase -- The Role of the Epicardium in the Formation of the Cardiac Valves in the Mouse -- TMEM100, a novel intracellular transmembrane protein essential for vascular development and cardiac morphogenesis -- Cell autonomous regulation of BMP-2 in endocardial cushion cells during AV valvuloseptal morphogenesis -- Part V. The Second Heart Field and Outflow Tract -- Properties of cardiac progenitor cells in the second heart field -- Nodal signaling and congenital heart defects -- Utilizing Zebrafish to Understand Second Heart Field Development -- A history and interaction of outflow progenitor cells implicated in “Takao syndrome” -- The loss of Foxc2 expression in the outflow tract links the interrupted arch in the conditional Foxc2 knockout mouse -- Environmental modification for phenotype of truncus arteriosus in Tbx1 hypomorphic mice -- Part VI. Vascular Development and Diseases -- Extracellular matrix remodeling in vascular development and disease -- The “cardiac neural crest” concept revisited -- Roles of endothelial Hrt genes for vascular development -- Placental Expression of Type 1 and 3 Inositol Trisphosphate Receptors is Required for the Extra-embryonic Vascular Development -- Tissue Remodeling in Vascular Wall in Kawasaki Disease-related Vasculitis Model Mice -- Part VII. Ductus Arteriosus -- Progerin expression during normal closure of the human ductus arteriosus: A case of premature ageing? -- The multiple roles of prostaglandin E2 in the regulation of the ductus arteriosus -- Developmental Differences in the Maturation of Sarcoplasmic Reticulum and Contractile Proteins in Large Blood Vessels Influences Their Contractility -- Fetal and Neonatal Ductus Arteriosus is Regulated with ATP-sensitive Potassium Channel -- Part VIII. Conduction System and Arrhythmia -- Regulation of vertebrate conduction system development -- Cardiac Pacemaker Development from a Tertiary Heart Field -- Endothelin receptor type A expressing cell population in the inflow tract contributes to chamber formation -- Specific isolation of HCN4 positive cardiac pace-making cells derived from embryonic stem cell -- Part IX. Current Molecular Mechanism in Cardiovascular Development -- Combinatorial functions of transcription factors and epigenetic factors in heart development and disease -- Pcgf5 contributes to PRC1 (Polycomb repressive complex 1) in developing cardiac cells -- non-coding RNAs in cardiovascular disease -- Part X. iPS Cells and Regeneration in Congenital Heart Diseases -- Human pluripotent stem cells to model congenital heart disease -- Engineered cardiac tissues generated from immature cardiac and stem-cell derived cells: Multiple approaches and outcomes -- Dissecting the left heart hypoplasia by pluripotent stem cells -- Lentiviral gene transfer to iPS cells; toward the cardiomyocyte differentiation of Pompe disease-specific iPS cells -- Molecular analysis of long-term cultured cardiac stem cells for cardiac regeneration -- Epicardial contribution in neonatal heart regeneration -- Part XI. Current Genetics in Congenital Heart Diseases -- Genetic discovery for congenital heart defects -- Evidence that deletion of ETS-1, a gene in the Jacobsen syndrome (11q-) cardiac critical region, causes congenital heart defects through impaired cardiac neural crest cell function -- Notch signaling in aortic valve development and disease -- To detect and explore mechanism of CITED2 mutation and methylation in children with congenital heart disease

[ "['meda']", "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Etiology and Morphogenesis of Congenital Heart Disease : From Gene Function and Cellular Interaction to Morphology - Document Abstract: This volume focuses on the etiology and morphogenesis of congenital heart diseases. It reviews in detail the early development and differentiation of the heart, and later morphologic events of the cardiovascular system, covering a wide range of topics such as gene functions, growth factors, transcription factors and cellular interactions that are implicated in cardiac morphogenesis and congenital heart disease. This book also presents recent advances in stem cell and cell sheet tissue engineering technologies which have the potential to provide novel in vitro disease models and to generate regenerative paradigms for cardiac repair and regeneration. This is the ideal resource for physician scientists and investigators looking for updates on recent investigations on the origins of congenital heart disease and potential future therapies Part I. From Molecular Mechanism to Intervention for Congenital Heart Diseases, Now and Future -- Reprogramming Approaches to Cardiovascular Disease: From Developmental Biology to Regenerative Medicine -- The arterial epicardium, a developmental approach to cardiac disease and repair -- Cell sheet tissue engineering for heart failure -- Future treatment of heart failure and pathophysiological analysis of various heart diseases using human iPS cell-derived cardiomyocytes -- Congenital heart disease: in search of remedial etiologies -- Part II. Left-Right Axis and Heterotaxy Syndrome -- Left-right Asymmetry and Human Heterotaxy Syndrome -- Roles of motile and immotile cilia in left-right symmetry breaking -- Role of cilia and left-right patterning in congenital heart disease -- Pulmonary arterial hypertension in patients with heterotaxy /polysplenia syndrome -- Part III. Cardiomyocyte and Myocardial Development -- Single Cell Expression Analyses of Embryonic Cardiac Progenitor Cells -- Meis1 Regulates Post-Natal Cardiomyocyte Cell Cycle Arrest -- Intercellular signalling in cardiac development and disease: NOTCH -- The epicardium in ventricular septation during evolution and development -- S1P-S1p2 signaling in cardiac precursor cells migration -- Myogenic progenitor cell differentiation is dependent on modulation of mitochondrial biogenesis through autophagy -- The role of the thyroid in the developing heart -- Part IV. Valve Development and Diseases -- Atrioventricular valve abnormalities: From molecular mechanisms underlying morphogenesis to clinical perspective -- Molecular Mechanisms of Heart Valve Development and Disease -- A novel role for endocardium in perinatal valve development: Lessons learned from tissue specific gene deletion of the Tie1 receptor tyrosine kinase -- The Role of the Epicardium in the Formation of the Cardiac Valves in the Mouse -- TMEM100, a novel intracellular transmembrane protein essential for vascular development and cardiac morphogenesis -- Cell autonomous regulation of BMP-2 in endocardial cushion cells during AV valvuloseptal morphogenesis -- Part V. The Second Heart Field and Outflow Tract -- Properties of cardiac progenitor cells in the second heart field -- Nodal signaling and congenital heart defects -- Utilizing Zebrafish to Understand Second Heart Field Development -- A history and interaction of outflow progenitor cells implicated in “Takao syndrome” -- The loss of Foxc2 expression in the outflow tract links the interrupted arch in the conditional Foxc2 knockout mouse -- Environmental modification for phenotype of truncus arteriosus in Tbx1 hypomorphic mice -- Part VI. Vascular Development and Diseases -- Extracellular matrix remodeling in vascular development and disease -- The “cardiac neural crest” concept revisited -- Roles of endothelial Hrt genes for vascular development -- Placental Expression of Type 1 and 3 Inositol Trisphosphate Receptors is Required for the Extra-embryonic Vascular Development -- Tissue Remodeling in Vascular Wall in Kawasaki Disease-related Vasculitis Model Mice -- Part VII. Ductus Arteriosus -- Progerin expression during normal closure of the human ductus arteriosus: A case of premature ageing? -- The multiple roles of prostaglandin E2 in the regulation of the ductus arteriosus -- Developmental Differences in the Maturation of Sarcoplasmic Reticulum and Contractile Proteins in Large Blood Vessels Influences Their Contractility -- Fetal and Neonatal Ductus Arteriosus is Regulated with ATP-sensitive Potassium Channel -- Part VIII. Conduction System and Arrhythmia -- Regulation of vertebrate conduction system development -- Cardiac Pacemaker Development from a Tertiary Heart Field -- Endothelin receptor type A expressing cell population in the inflow tract contributes to chamber formation -- Specific isolation of HCN4 positive cardiac pace-making cells derived from embryonic stem cell -- Part IX. Current Molecular Mechanism in Cardiovascular Development -- Combinatorial functions of transcription factors and epigenetic factors in heart development and disease -- Pcgf5 contributes to PRC1 (Polycomb repressive complex 1) in developing cardiac cells -- non-coding RNAs in cardiovascular disease -- Part X. iPS Cells and Regeneration in Congenital Heart Diseases -- Human pluripotent stem cells to model congenital heart disease -- Engineered cardiac tissues generated from immature cardiac and stem-cell derived cells: Multiple approaches and outcomes -- Dissecting the left heart hypoplasia by pluripotent stem cells -- Lentiviral gene transfer to iPS cells; toward the cardiomyocyte differentiation of Pompe disease-specific iPS cells -- Molecular analysis of long-term cultured cardiac stem cells for cardiac regeneration -- Epicardial contribution in neonatal heart regeneration -- Part XI. Current Genetics in Congenital Heart Diseases -- Genetic discovery for congenital heart defects -- Evidence that deletion of ETS-1, a gene in the Jacobsen syndrome (11q-) cardiac critical region, causes congenital heart defects through impaired cardiac neural crest cell function -- Notch signaling in aortic valve development and disease -- To detect and explore mechanism of CITED2 mutation and methylation in children with congenital heart disease - Document LIN Search class: ['meda'], ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1800901798.jsonld

American nightmares : dystopia in twenty-first-century US fiction

"This volume investigates dystopia in twenty-first-century US fiction. Using a methodological framework based on sociology, it theorizes a correlation between the crisis of the Frontier myth and of American exceptionalism and a renewed interest in dystopian worlds. Part One illustrates the methodological framework, exploring the concept of dystopia, offering an overview of the American myths and of their current status and spotlighting some relevant sociological theories. Part Two applies the proposed methodological framework to four texts, investigating the sub-genres of political, technological and environmental dystopia. The primary works, chosen to show both the relevance of the abovementioned American myths to dystopian narratives and the pervasiveness of the genre across the media, are Margaret Atwood's The Testaments (2019), Dave Eggers's The Circle (2013), David Cage's video game Detroit: Become Human (2018), and the Hughes Brothers' 2010 movie The Book of Eli"--

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: American nightmares : dystopia in twenty-first-century US fiction - Document Abstract: "This volume investigates dystopia in twenty-first-century US fiction. Using a methodological framework based on sociology, it theorizes a correlation between the crisis of the Frontier myth and of American exceptionalism and a renewed interest in dystopian worlds. Part One illustrates the methodological framework, exploring the concept of dystopia, offering an overview of the American myths and of their current status and spotlighting some relevant sociological theories. Part Two applies the proposed methodological framework to four texts, investigating the sub-genres of political, technological and environmental dystopia. The primary works, chosen to show both the relevance of the abovementioned American myths to dystopian narratives and the pervasiveness of the genre across the media, are Margaret Atwood's The Testaments (2019), Dave Eggers's The Circle (2013), David Cage's video game Detroit: Become Human (2018), and the Hughes Brothers' 2010 movie The Book of Eli"-- - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1653790970.jsonld

Pro Oracle Fusion Applications : Installation and Administration

Pro Oracle Fusion Applications is your one-stop source for help with installing Oracle’s Fusion Applications suite in your on-premise environment. It also aids in the monitoring and ongoing administration of your Fusion environment. Author Tushar Thakker is widely known for his writings and expertise on Oracle Fusion Applications, and now he brings his accumulated wisdom to you in the form of this convenient handbook. Provisioning an Oracle Fusion Applications infrastructure is a daunting task. You’ll have to plan a suitable topology and install the required database, an enterprise-wide identity management solution, and the applications themselves-all while working with a wide variety of people who may not always be accustomed to working together. Pro Oracle Fusion Applications provides a path to success that you won’t want to be without. Beyond installation, Pro Oracle Fusion Applications provides excellent guidance on managing, monitoring, diagnostics, and troubleshooting your environment. The book also covers patching, a mundane but essential task that must be done regularly to keep your installation protected and running smoothly. The comprehensive and wide-ranging coverage makes Pro Oracle Fusion Applications an important book for anyone with responsibility for installation and ongoing management of an Oracle Fusion Applications installation

[ "['inf']", "['mat']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Pro Oracle Fusion Applications : Installation and Administration - Document Abstract: Pro Oracle Fusion Applications is your one-stop source for help with installing Oracle’s Fusion Applications suite in your on-premise environment. It also aids in the monitoring and ongoing administration of your Fusion environment. Author Tushar Thakker is widely known for his writings and expertise on Oracle Fusion Applications, and now he brings his accumulated wisdom to you in the form of this convenient handbook. Provisioning an Oracle Fusion Applications infrastructure is a daunting task. You’ll have to plan a suitable topology and install the required database, an enterprise-wide identity management solution, and the applications themselves-all while working with a wide variety of people who may not always be accustomed to working together. Pro Oracle Fusion Applications provides a path to success that you won’t want to be without. Beyond installation, Pro Oracle Fusion Applications provides excellent guidance on managing, monitoring, diagnostics, and troubleshooting your environment. The book also covers patching, a mundane but essential task that must be done regularly to keep your installation protected and running smoothly. The comprehensive and wide-ranging coverage makes Pro Oracle Fusion Applications an important book for anyone with responsibility for installation and ongoing management of an Oracle Fusion Applications installation - Document LIN Search class: ['inf'], ['mat'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1651225982.jsonld

European Retail Research

The aim of EUROPEAN RETAIL RESEARCH is to publish interesting manuscripts of high quality and innovativeness with a focus on retail researchers, retail lecturers, retail students and retail executives. As it has always been, retail executives are part of the target group and the knowledge transfer between retail research and retail management remains a part of the publication’s concept. EUROPEAN RETAIL RESEARCH welcomes manuscripts on original theoretical or conceptual contributions as well as empirical research – based either on large-scale empirical data or on the case-study method. Following the state of the art in retail research, articles on any major issues that concern the general field of retailing and distribution are welcome. The review process will support the authors in enhancing the quality of their work and will offer the authors a reviewed publication outlet. Part of the concept of EUROPEAN RETAIL RESEARCH is an only short delay between manuscript submission and final publication, so it is intended to become a quick publication platform.

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: European Retail Research - Document Abstract: The aim of EUROPEAN RETAIL RESEARCH is to publish interesting manuscripts of high quality and innovativeness with a focus on retail researchers, retail lecturers, retail students and retail executives. As it has always been, retail executives are part of the target group and the knowledge transfer between retail research and retail management remains a part of the publication’s concept. EUROPEAN RETAIL RESEARCH welcomes manuscripts on original theoretical or conceptual contributions as well as empirical research – based either on large-scale empirical data or on the case-study method. Following the state of the art in retail research, articles on any major issues that concern the general field of retailing and distribution are welcome. The review process will support the authors in enhancing the quality of their work and will offer the authors a reviewed publication outlet. Part of the concept of EUROPEAN RETAIL RESEARCH is an only short delay between manuscript submission and final publication, so it is intended to become a quick publication platform. - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1879441527.jsonld

Growth, unemployment, and deindustrialization

The sectoral composition of economies is fundamental to the understanding of growth, unemployment and the relative performance of nations. Henri de Groot models the relationship between these four factors from a single theoretical perspective in order to determine the foundations of the wealth of nations. Special issues that are addressed include: * the macroeconomic consequences of outsourcing and downsizing * unemployment and catching-up * the relationship between growth and unemployment in a dual labour market * the relative stagnancy of Europe versus the USA in terms of productivity levels and unemployment * transitional dynamics in two-sector endogenous growth models * the causes of deindustrialization * the role of trade unions and efficiency-wage considerations Growth, Unemployment and Deindustrialization will be of paramount interest to scholars of endogenous growth theory, economic growth and unemployment, labour market economics and industrial organization

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Growth, unemployment, and deindustrialization - Document Abstract: The sectoral composition of economies is fundamental to the understanding of growth, unemployment and the relative performance of nations. Henri de Groot models the relationship between these four factors from a single theoretical perspective in order to determine the foundations of the wealth of nations. Special issues that are addressed include: * the macroeconomic consequences of outsourcing and downsizing * unemployment and catching-up * the relationship between growth and unemployment in a dual labour market * the relative stagnancy of Europe versus the USA in terms of productivity levels and unemployment * transitional dynamics in two-sector endogenous growth models * the causes of deindustrialization * the role of trade unions and efficiency-wage considerations Growth, Unemployment and Deindustrialization will be of paramount interest to scholars of endogenous growth theory, economic growth and unemployment, labour market economics and industrial organization - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1657458458.jsonld

Operational Risk Management

Written by an experienced academic and practitioner, Operational Risk Management fills a gap in the information available on the Basel 2 Accord and offers valuable insights into the nature of operational risk

[ "['oek']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Operational Risk Management - Document Abstract: Written by an experienced academic and practitioner, Operational Risk Management fills a gap in the information available on the Basel 2 Accord and offers valuable insights into the nature of operational risk - Document LIN Search class: ['oek'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1614136939.jsonld

China under Mao : a revolution derailed

"China Under Mao narrates the rise and fall of the Maoist revolutionary state from 1949 to 1976. Andrew G. Walder argues that Mao's China was defined by two distinctive institutions: a Party apparatus that exercised firm discipline over its members; and a socialist economy modeled after the Soviet Union. Although a large bureaucracy had oversight of this authoritarian system, Mao intervened at every turn. The doctrines and political organization that produced Mao's greatest achievements--victory in the civil war, the creation of China's first modern state, a historic transformation of urban and rural life--also generated his worst failures: the industrial depression and rural famine of the Great Leap Forward and the destruction and stagnation of the Cultural Revolution. Misdiagnosing China's problems as capitalist restoration and prescribing continuing class struggle against imaginary enemies, Mao ruined much of what he had built and created no viable alternative"--Provided by publisher

[ "['his']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: China under Mao : a revolution derailed - Document Abstract: "China Under Mao narrates the rise and fall of the Maoist revolutionary state from 1949 to 1976. Andrew G. Walder argues that Mao's China was defined by two distinctive institutions: a Party apparatus that exercised firm discipline over its members; and a socialist economy modeled after the Soviet Union. Although a large bureaucracy had oversight of this authoritarian system, Mao intervened at every turn. The doctrines and political organization that produced Mao's greatest achievements--victory in the civil war, the creation of China's first modern state, a historic transformation of urban and rural life--also generated his worst failures: the industrial depression and rural famine of the Great Leap Forward and the destruction and stagnation of the Cultural Revolution. Misdiagnosing China's problems as capitalist restoration and prescribing continuing class struggle against imaginary enemies, Mao ruined much of what he had built and created no viable alternative"--Provided by publisher - Document LIN Search class: ['his'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A019701551.jsonld

Modern methods in analytical acoustics : lecture notes

Aus dem Inhalt: Complex variable theory. Fourier transforms, random processes, digital sampling and wavelets. Asymptotic evaluation of integrals. Wiener-Hopf technique.- Matched asymptotic expansions applied to acoustics. Multiple scales. Statistical energy analysis. Mean energy and momentum effects in waves. Noise source mechanisms. Vortex sounds.- Thermoacoustics and instabilities. Effects of motion on acoustic sources. Propeller and helicopter noise.- Flow noise on surfaces. Fluid loading interaction with vibrating surfaces. Scattering and diffraction. Resonators. Bubbles. Reverberation. Solitons. Nonlinear acoustics. Chaotic dynamics and application in acoustics. Anti-sound.

[ "['phy']", "['tec']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Modern methods in analytical acoustics : lecture notes - Document Abstract: Aus dem Inhalt: Complex variable theory. Fourier transforms, random processes, digital sampling and wavelets. Asymptotic evaluation of integrals. Wiener-Hopf technique.- Matched asymptotic expansions applied to acoustics. Multiple scales. Statistical energy analysis. Mean energy and momentum effects in waves. Noise source mechanisms. Vortex sounds.- Thermoacoustics and instabilities. Effects of motion on acoustic sources. Propeller and helicopter noise.- Flow noise on surfaces. Fluid loading interaction with vibrating surfaces. Scattering and diffraction. Resonators. Bubbles. Reverberation. Solitons. Nonlinear acoustics. Chaotic dynamics and application in acoustics. Anti-sound. - Document LIN Search class: ['phy'], ['tec'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1023432994.jsonld

The disintegration of production : firm strategy and industrial development in China

'It is a conventional belief that the Chinese industrial economy is dominated by large state-owned enterprises closely connected with political power. While this perception is correct for some industries, such as petroleum refinery, this fascinating book, edited by Mariko Watanabe, presents us with a vivid picture of another side of the economy, where smaller enterprises specializing in separate modular products compete with each other on the basis of a common platform, contributing to its dynamism. The book combines fresh theories and hypotheses, derived from intimate field work, with empirical testing. This is certainly an eye-opening work for everyone interested in the future of the Chinese economy.' (Masahiko Aoki, Stanford University, US). -- In the past two decades, China has experienced rapid industrial and economic growth. This fascinating book explores the unique Chinese business strategy of vigorous market entry and low prices, which has been the key feature of this accelerated industrial growth. -- Using a rich accumulation of research, the authors lay out a simple microeconomics framework to explain how Chinese industries have developed, aided by vertically disintegrated value chains and utilization of technology and transaction platforms. Case studies of specific industries - including electronics, automobiles, coal and energy, agriculture, finance, and pharmaceuticals - contribute to the comprehensive and timely analysis. -- This book will appeal to scholars and students of industrial development, industrial organization, and development economics, as well as Chinese and Asian studies.

[ "['oek']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The disintegration of production : firm strategy and industrial development in China - Document Abstract: 'It is a conventional belief that the Chinese industrial economy is dominated by large state-owned enterprises closely connected with political power. While this perception is correct for some industries, such as petroleum refinery, this fascinating book, edited by Mariko Watanabe, presents us with a vivid picture of another side of the economy, where smaller enterprises specializing in separate modular products compete with each other on the basis of a common platform, contributing to its dynamism. The book combines fresh theories and hypotheses, derived from intimate field work, with empirical testing. This is certainly an eye-opening work for everyone interested in the future of the Chinese economy.' (Masahiko Aoki, Stanford University, US). -- In the past two decades, China has experienced rapid industrial and economic growth. This fascinating book explores the unique Chinese business strategy of vigorous market entry and low prices, which has been the key feature of this accelerated industrial growth. -- Using a rich accumulation of research, the authors lay out a simple microeconomics framework to explain how Chinese industries have developed, aided by vertically disintegrated value chains and utilization of technology and transaction platforms. Case studies of specific industries - including electronics, automobiles, coal and energy, agriculture, finance, and pharmaceuticals - contribute to the comprehensive and timely analysis. -- This book will appeal to scholars and students of industrial development, industrial organization, and development economics, as well as Chinese and Asian studies. - Document LIN Search class: ['oek'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1818499061.jsonld

Routledge handbook of urban public space : use, design, and management

"Is it truly the "end" of public space? This handbook presents evidence that the answer is "no". In cities in different parts of the world people still use public space to pursue activities of their choice. The book is divided into seven sections. The first section presents three emerging types of public space. Each of the subsequent five sections focuses on a type of activity: recreation, commerce, protest, living and celebration. These sections are international in scope, presenting cases of activities in Brazil, China, Colombia, DR Congo, Egypt, Finland, Germany, Libya, Taiwan, Turkey and the U.S. The closing section, composed of three chapters, presents research methods for studying public space. Graduate students, faculty members and researchers in social science, architecture, landscape architecture, geography, and urban design will find the book useful for understanding, studying, and designing urban public space"--

[ "['sow']", "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Routledge handbook of urban public space : use, design, and management - Document Abstract: "Is it truly the "end" of public space? This handbook presents evidence that the answer is "no". In cities in different parts of the world people still use public space to pursue activities of their choice. The book is divided into seven sections. The first section presents three emerging types of public space. Each of the subsequent five sections focuses on a type of activity: recreation, commerce, protest, living and celebration. These sections are international in scope, presenting cases of activities in Brazil, China, Colombia, DR Congo, Egypt, Finland, Germany, Libya, Taiwan, Turkey and the U.S. The closing section, composed of three chapters, presents research methods for studying public space. Graduate students, faculty members and researchers in social science, architecture, landscape architecture, geography, and urban design will find the book useful for understanding, studying, and designing urban public space"-- - Document LIN Search class: ['sow'], ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1728468159.jsonld

Time Series in Economics and Finance

1. Introduction -- I. Subject of Time Series -- 2. Random Processes -- II. Decomposition of Economic Time Series -- 3. Trend -- 4. Seasonality and Periodicity -- 5. Residual Component -- III. Autocorrelation Methods for Univariate Time Series -- 6. Box-Jenkins Methodology -- 7. Autocorrelation Methods in Regression Models -- IV. Financial Time Series -- 8. Volatility of Financial Time Series -- 9. Other Methods for Financial Time Series -- 10. Models of Development of Financial Assets -- 11. Value at Risk -- V. Multivariate Time Series -- 12. Methods for Multivariate Time Series -- 13. Multivariate Volatility Modeling -- 14. State Space Models of Time Series -- References -- Index. This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers decomposition methods, autocorrelation methods for univariate time series, volatility and duration modeling for financial time series, and multivariate time series methods, such as cointegration and recursive state space modeling. It also includes numerous practical examples to demonstrate the theory using real-world data, as well as exercises at the end of each chapter to aid understanding. This book serves as a reference text for researchers, students and practitioners interested in time series, and can also be used for university courses on econometrics or computational finance.

[ "['oek']", "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Time Series in Economics and Finance - Document Abstract: 1. Introduction -- I. Subject of Time Series -- 2. Random Processes -- II. Decomposition of Economic Time Series -- 3. Trend -- 4. Seasonality and Periodicity -- 5. Residual Component -- III. Autocorrelation Methods for Univariate Time Series -- 6. Box-Jenkins Methodology -- 7. Autocorrelation Methods in Regression Models -- IV. Financial Time Series -- 8. Volatility of Financial Time Series -- 9. Other Methods for Financial Time Series -- 10. Models of Development of Financial Assets -- 11. Value at Risk -- V. Multivariate Time Series -- 12. Methods for Multivariate Time Series -- 13. Multivariate Volatility Modeling -- 14. State Space Models of Time Series -- References -- Index. This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers decomposition methods, autocorrelation methods for univariate time series, volatility and duration modeling for financial time series, and multivariate time series methods, such as cointegration and recursive state space modeling. It also includes numerous practical examples to demonstrate the theory using real-world data, as well as exercises at the end of each chapter to aid understanding. This book serves as a reference text for researchers, students and practitioners interested in time series, and can also be used for university courses on econometrics or computational finance. - Document LIN Search class: ['oek'], ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1011196298.jsonld

It's a jungle out there - the strange animals of economic organization in agri-food value chains

This book aims to explore the variety in organizational forms that exists in the European agri-food sector, and to identify an appropriate theoretical framework that includes a set of conceptual instruments to analyse this variety. Moreover, this framework should be helpful in the exploration of the relationship between organizations and the regulatory domain. The book focuses on organizational forms under two perspectives. First, it underlines the variety in organizational forms and their internal complexity. Second, it includes a series of case studies from different theoretical perspectives that highlight diversity within the agri-food sector, spanning from the adoption of standards to producer organizations. The book then proposes a conceptual foundation that can help in the design of applied theoretical frameworks to address the variety and the complexity of the organizational modes in agri-food supply systems

[ "['oek']", "['sow']", "['hor']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: It's a jungle out there - the strange animals of economic organization in agri-food value chains - Document Abstract: This book aims to explore the variety in organizational forms that exists in the European agri-food sector, and to identify an appropriate theoretical framework that includes a set of conceptual instruments to analyse this variety. Moreover, this framework should be helpful in the exploration of the relationship between organizations and the regulatory domain. The book focuses on organizational forms under two perspectives. First, it underlines the variety in organizational forms and their internal complexity. Second, it includes a series of case studies from different theoretical perspectives that highlight diversity within the agri-food sector, spanning from the adoption of standards to producer organizations. The book then proposes a conceptual foundation that can help in the design of applied theoretical frameworks to address the variety and the complexity of the organizational modes in agri-food supply systems - Document LIN Search class: ['oek'], ['sow'], ['hor'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1747657034.jsonld

The Size and Sectoral Distribution of State-Owned Enterprises

State-owned enterprises (SOEs) are important elements of many national economies. They are also increasingly active internationally, which has led to renewed concerns in recent years about whether their competitive conditions in home markets might adversely impact “fair” competition with companies abroad. Many of the concerns held by national policy makers and businesses surrounding foreign SOEs’ competitive conditions stem from limited transparency and information on SOEs. This report seeks to bolster the factual information base by presenting the main findings of the most comprehensive and internationally comparable dataset currently available on the size, sectoral distribution and corporate forms of national SOE sectors in 40 countries.

[ "['oek']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Size and Sectoral Distribution of State-Owned Enterprises - Document Abstract: State-owned enterprises (SOEs) are important elements of many national economies. They are also increasingly active internationally, which has led to renewed concerns in recent years about whether their competitive conditions in home markets might adversely impact “fair” competition with companies abroad. Many of the concerns held by national policy makers and businesses surrounding foreign SOEs’ competitive conditions stem from limited transparency and information on SOEs. This report seeks to bolster the factual information base by presenting the main findings of the most comprehensive and internationally comparable dataset currently available on the size, sectoral distribution and corporate forms of national SOE sectors in 40 countries. - Document LIN Search class: ['oek'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A164901130X.jsonld

Engineering of Functional Skeletal Tissues

Focusing on bone replacement, this volume discusses the biology of stem cells and cell signals, knowledge needed to make stem cell engineered, bone tissue a reality and how to prevent bone allograft infection. This text is of interest to bioengineers, orthopedists, reconstructive surgeons, dentists, and physiotherapists

[ "['meda']", "['med']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Engineering of Functional Skeletal Tissues - Document Abstract: Focusing on bone replacement, this volume discusses the biology of stem cells and cell signals, knowledge needed to make stem cell engineered, bone tissue a reality and how to prevent bone allograft infection. This text is of interest to bioengineers, orthopedists, reconstructive surgeons, dentists, and physiotherapists - Document LIN Search class: ['meda'], ['med'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1009399586.jsonld

The Hellenistic reception of classical Athenian democracy and political thought

Part 1. Early Hellenistic responses to classical Athenian democracy and political thought -- Part 2. Later Hellenistic and early imperial developments in the reception of classical Athenian politics

[ "['his']", "['sow']", "['phi']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Hellenistic reception of classical Athenian democracy and political thought - Document Abstract: Part 1. Early Hellenistic responses to classical Athenian democracy and political thought -- Part 2. Later Hellenistic and early imperial developments in the reception of classical Athenian politics - Document LIN Search class: ['his'], ['sow'], ['phi'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A181167741X.jsonld

The nth-Order comprehensive adjoint sensitivity analysis methodology, Volume I : overcoming the curse of dimensionality: linear systems

The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predicted by these models are also imprecise, being affected by the uncertainties underlying the respective model. The functional derivatives (also called “sensitivities”) of results (also called “responses”) produced by mathematical/computational models are needed for many purposes, including: (i) understanding the model by ranking the importance of the various model parameters; (ii) performing “reduced-order modeling” by eliminating unimportant parameters and/or processes; (iii) quantifying the uncertainties induced in a model response due to model parameter uncertainties; (iv) performing “model validation,” by comparing computations to experiments to address the question “does the model represent reality?” (v) prioritizing improvements in the model; (vi) performing data assimilation and model calibration as part of forward “predictive modeling” to obtain best-estimate predicted results with reduced predicted uncertainties; (vii) performing inverse “predictive modeling”; (viii) designing and optimizing the system. This 3-Volume monograph describes a comprehensive adjoint sensitivity analysis methodology, developed by the author, which enables the efficient and exact computation of arbitrarily high-order sensitivities of model responses in large-scale systems comprising many model parameters. The qualifier “comprehensive” is employed to highlight that the model parameters considered within the framework of this methodology also include the system’s uncertain boundaries and internal interfaces in phase-space. The model’s responses can be either scalar-valued functionals of the model’s parameters and state variables (e.g., as customarily encountered in optimization problems) or general function-valued responses. Since linear operators admit bona-fide adjoint operators, responses of models that are linear in the state functions (i.e., dependent variables) can depend simultaneously on both the forward and the adjoint state functions. Hence, the sensitivity analysis of such responses warrants the treatment of linear systems in their own right, rather than treating them as particular cases of nonlinear systems. This is in contradistinction to responses for nonlinear systems, which can depend only on the forward state functions, since nonlinear operators do not admit bona-fide adjoint operators (only a linearized form of a nonlinear operator may admit an adjoint operator). Thus, Volume 1 of this book presents the mathematical framework of the nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (abbreviated as “nth-CASAM-L”), which is conceived for the most efficient computation of exactly obtained mathematical expressions of arbitrarily-high-order (nth-order) sensitivities of a generic system response with respect to all of the parameters underlying the respective forward/adjoint systems. Volume 2 of this book presents the application of the nth-CASAM-L to perform a fourth-order sensitivity and uncertainty analysis of an OECD/NEA reactor physics benchmark which is representative of a large-scale model comprises many (21,976) uncertain parameters, thereby amply illustrating the unique potential of the nth-CASAM-L to enable the exact and efficient computation of chosen high-order response sensitivities to model parameters. Volume 3 of this book presents the “nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems” (abbreviation: nth-CASAM-N) for the practical, efficient, and exact computation of arbitrarily-high order sensitivities of responses to model parameters for systems that are also nonlinear in their underlying state functions. Such computations are not feasible with any other methodology. The application of the nth-CASAM-L and the nth-CASAM-N overcomes the so-called “curse of dimensionality” in sensitivity and uncertainty analysis, thus revolutionizing all of the fields of activities which require accurate computation of response sensitivities. Since this monograph includes many illustrative, fully worked-out, paradigm problems, it can serve as a textbook or as supplementary reading for graduate courses in academic departments in the natural sciences and engineering. Chapter 1. Introduction and Motivation: Breaking the Curse of Dimensionality in Sensitivity and Uncertainty Analysis. Part A: Function-Valued Responses -- Chapter 2. Part A: Function-Valued Responses-The First- and Second-Order Comprehensive Adjoint Sensitivity Analysis Methodologies for Linear Systems with Function-Valued Responses -- Chapter 3. The Third-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-3) for Linear Systems with Function-Valued Responses -- Chapter 4. The Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-4) for Linear Systems with Function-Valued Responses -- Chapter 5. The Nth-Order Adjoint Sensitivity Analysis Methodology (C-ASAM-N) for Linear Systems with Function-Valued Responses -- Chapter 6. Part B: Scalar-Valued Responses-The Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-4) for Linear Systems with Scalar-Valued Responses -- Chapter 7. The Nth-Order Adjoint Sensitivity Analysis Methodology (C-ASAM-N) for Linear Systems with Scalar-Valued Responses.

[ "['mat']", "['tec']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The nth-Order comprehensive adjoint sensitivity analysis methodology, Volume I : overcoming the curse of dimensionality: linear systems - Document Abstract: The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predicted by these models are also imprecise, being affected by the uncertainties underlying the respective model. The functional derivatives (also called “sensitivities”) of results (also called “responses”) produced by mathematical/computational models are needed for many purposes, including: (i) understanding the model by ranking the importance of the various model parameters; (ii) performing “reduced-order modeling” by eliminating unimportant parameters and/or processes; (iii) quantifying the uncertainties induced in a model response due to model parameter uncertainties; (iv) performing “model validation,” by comparing computations to experiments to address the question “does the model represent reality?” (v) prioritizing improvements in the model; (vi) performing data assimilation and model calibration as part of forward “predictive modeling” to obtain best-estimate predicted results with reduced predicted uncertainties; (vii) performing inverse “predictive modeling”; (viii) designing and optimizing the system. This 3-Volume monograph describes a comprehensive adjoint sensitivity analysis methodology, developed by the author, which enables the efficient and exact computation of arbitrarily high-order sensitivities of model responses in large-scale systems comprising many model parameters. The qualifier “comprehensive” is employed to highlight that the model parameters considered within the framework of this methodology also include the system’s uncertain boundaries and internal interfaces in phase-space. The model’s responses can be either scalar-valued functionals of the model’s parameters and state variables (e.g., as customarily encountered in optimization problems) or general function-valued responses. Since linear operators admit bona-fide adjoint operators, responses of models that are linear in the state functions (i.e., dependent variables) can depend simultaneously on both the forward and the adjoint state functions. Hence, the sensitivity analysis of such responses warrants the treatment of linear systems in their own right, rather than treating them as particular cases of nonlinear systems. This is in contradistinction to responses for nonlinear systems, which can depend only on the forward state functions, since nonlinear operators do not admit bona-fide adjoint operators (only a linearized form of a nonlinear operator may admit an adjoint operator). Thus, Volume 1 of this book presents the mathematical framework of the nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (abbreviated as “nth-CASAM-L”), which is conceived for the most efficient computation of exactly obtained mathematical expressions of arbitrarily-high-order (nth-order) sensitivities of a generic system response with respect to all of the parameters underlying the respective forward/adjoint systems. Volume 2 of this book presents the application of the nth-CASAM-L to perform a fourth-order sensitivity and uncertainty analysis of an OECD/NEA reactor physics benchmark which is representative of a large-scale model comprises many (21,976) uncertain parameters, thereby amply illustrating the unique potential of the nth-CASAM-L to enable the exact and efficient computation of chosen high-order response sensitivities to model parameters. Volume 3 of this book presents the “nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems” (abbreviation: nth-CASAM-N) for the practical, efficient, and exact computation of arbitrarily-high order sensitivities of responses to model parameters for systems that are also nonlinear in their underlying state functions. Such computations are not feasible with any other methodology. The application of the nth-CASAM-L and the nth-CASAM-N overcomes the so-called “curse of dimensionality” in sensitivity and uncertainty analysis, thus revolutionizing all of the fields of activities which require accurate computation of response sensitivities. Since this monograph includes many illustrative, fully worked-out, paradigm problems, it can serve as a textbook or as supplementary reading for graduate courses in academic departments in the natural sciences and engineering. Chapter 1. Introduction and Motivation: Breaking the Curse of Dimensionality in Sensitivity and Uncertainty Analysis. Part A: Function-Valued Responses -- Chapter 2. Part A: Function-Valued Responses-The First- and Second-Order Comprehensive Adjoint Sensitivity Analysis Methodologies for Linear Systems with Function-Valued Responses -- Chapter 3. The Third-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-3) for Linear Systems with Function-Valued Responses -- Chapter 4. The Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-4) for Linear Systems with Function-Valued Responses -- Chapter 5. The Nth-Order Adjoint Sensitivity Analysis Methodology (C-ASAM-N) for Linear Systems with Function-Valued Responses -- Chapter 6. Part B: Scalar-Valued Responses-The Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-4) for Linear Systems with Scalar-Valued Responses -- Chapter 7. The Nth-Order Adjoint Sensitivity Analysis Methodology (C-ASAM-N) for Linear Systems with Scalar-Valued Responses. - Document LIN Search class: ['mat'], ['tec'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655716042.jsonld

Fit Mind, Fit Job : From Evidence to Practice in Mental Health and Work

The costs of mental ill-health for individuals, employers and society at large are enormous. Mental illness is responsible for a very significant loss of potential labour supply, high rates of unemployment, and a high incidence of sickness absence and reduced productivity at work. Following an introductory report (Sick on the Job: Myths and Realities about Mental Health and Work) and nine country reports, this final synthesis report summarizes the findings from the participating countries and makes the case for a stronger policy response.

[ "['pae']", "['meda']", "['oek']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Fit Mind, Fit Job : From Evidence to Practice in Mental Health and Work - Document Abstract: The costs of mental ill-health for individuals, employers and society at large are enormous. Mental illness is responsible for a very significant loss of potential labour supply, high rates of unemployment, and a high incidence of sickness absence and reduced productivity at work. Following an introductory report (Sick on the Job: Myths and Realities about Mental Health and Work) and nine country reports, this final synthesis report summarizes the findings from the participating countries and makes the case for a stronger policy response. - Document LIN Search class: ['pae'], ['meda'], ['oek'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A793061172.jsonld

Women's career development throughout the lifespan : an international exploration

"Women's careers have been a topic of research and discussion in many disciplines including sociology, business, industrial, organisational and vocational psychology, and career guidance. Despite the introduction of equal employment legislation in many countries, women's patterns of career development continue to reflect structural labour market disadvantage.This unique book brings together expert contributions from academic researchers, as well as representing the voices of older women who participated in an international research investigation. Grounded in multidisciplinary empirical studies, the book provides: a variety of perspectives on women's careers in the 21st century; an international exploration of the voice of the older woman; an understanding of both the challenges and responses to women as they construct their careers.Offering a comprehensive understanding of women's career development throughout the lifespan, this book will be of key interest to academics and researchers from the fields of education, psychology, management, geography, labour market economics and sociology, as well as career practitioners, managers, trainers, researchers and policy developers. "--

[ "['sow']", "['pae']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Women's career development throughout the lifespan : an international exploration - Document Abstract: "Women's careers have been a topic of research and discussion in many disciplines including sociology, business, industrial, organisational and vocational psychology, and career guidance. Despite the introduction of equal employment legislation in many countries, women's patterns of career development continue to reflect structural labour market disadvantage.This unique book brings together expert contributions from academic researchers, as well as representing the voices of older women who participated in an international research investigation. Grounded in multidisciplinary empirical studies, the book provides: a variety of perspectives on women's careers in the 21st century; an international exploration of the voice of the older woman; an understanding of both the challenges and responses to women as they construct their careers.Offering a comprehensive understanding of women's career development throughout the lifespan, this book will be of key interest to academics and researchers from the fields of education, psychology, management, geography, labour market economics and sociology, as well as career practitioners, managers, trainers, researchers and policy developers. "-- - Document LIN Search class: ['sow'], ['pae'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1029866228.jsonld

Rome and the Indian Ocean trade from Augustus to the early Third Century CE

"In Rome and the Indian Ocean Trade from Augustus to the Early Third Century CE Matthew Adam Cobb examines the development of commercial exchange between the Mediterranean and the Indian Ocean worlds from the Roman annexation of Egypt (30 BCE) up to the early third century CE. Among the issues considered are the identities of those involved, how they organised and financed themselves, the challenges they faced (scheduling, logistics, security, sailing conditions), and the types of goods they traded. Drawing upon an expanding corpus of new evidence, Cobb aims to reassess a number of long-standing scholarly assumptions about the nature of Roman participation in this trade. These range from its chronological development to its economic and social impact"--

[ "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Rome and the Indian Ocean trade from Augustus to the early Third Century CE - Document Abstract: "In Rome and the Indian Ocean Trade from Augustus to the Early Third Century CE Matthew Adam Cobb examines the development of commercial exchange between the Mediterranean and the Indian Ocean worlds from the Roman annexation of Egypt (30 BCE) up to the early third century CE. Among the issues considered are the identities of those involved, how they organised and financed themselves, the challenges they faced (scheduling, logistics, security, sailing conditions), and the types of goods they traded. Drawing upon an expanding corpus of new evidence, Cobb aims to reassess a number of long-standing scholarly assumptions about the nature of Roman participation in this trade. These range from its chronological development to its economic and social impact"-- - Document LIN Search class: ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1652219951.jsonld

Financial trading and investing

A former member of the American Stock Exchange introduces trading and financial markets to upper-division undergraduates and graduate students who are planning to work in the finance industry. Unlike standard investment texts that cover trading as one of many subjects, Financial Trading and Investments gives primary attention to trading, trading institutions, markets, and the institutions that facilitate and regulate trading activities-what economists call "market microstructure." Introduces the financial markets and the quantitative tools used in them so students learn how the markets operate and gain experience with their principal tools. Helps students develop their skills with the most popular trading simulation programs so they can reuse the book to solve day-to-day problems. Stretches from investor behavior to hedging strategies and noise trading, capturing recent advances in an up-to-date reference source

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Financial trading and investing - Document Abstract: A former member of the American Stock Exchange introduces trading and financial markets to upper-division undergraduates and graduate students who are planning to work in the finance industry. Unlike standard investment texts that cover trading as one of many subjects, Financial Trading and Investments gives primary attention to trading, trading institutions, markets, and the institutions that facilitate and regulate trading activities-what economists call "market microstructure." Introduces the financial markets and the quantitative tools used in them so students learn how the markets operate and gain experience with their principal tools. Helps students develop their skills with the most popular trading simulation programs so they can reuse the book to solve day-to-day problems. Stretches from investor behavior to hedging strategies and noise trading, capturing recent advances in an up-to-date reference source - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1672336333.jsonld

Advances in pediatric pulmonology

The opening chapter of the book illustrates how improved understanding of cellular physiology is leading to novel approaches to respiratory disorders. This is followed by an up-to-date review of modern imaging techniques of the pediatric chest and the outlook for further developments in this field. The state of the art in the management of childhood asthma is presented in the next two chapters: one focuses on the therapy of acute asthma, while the other outlines preventive approaches. Other topics covered include the diagnosis and management of sleep apnea, the applications of both rigid and flexible bronchoscopy in the pediatric age group, as well as laryngotracheal abnormalities and the new developments in surgical techniques for anomalies causing upper airway obstruction. Toxic insults to the lungs by environmental toxins, drugs, acid reflux or pulmonary disease secondary to systemic disorders are very thoroughly discussed as is the approach to the child who develops signs of chronic lung disease. The final chapter focuses on lung transplantation in children with terminal disease and presents results from the center with the greatest experience to date

[ "['meda']", "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Advances in pediatric pulmonology - Document Abstract: The opening chapter of the book illustrates how improved understanding of cellular physiology is leading to novel approaches to respiratory disorders. This is followed by an up-to-date review of modern imaging techniques of the pediatric chest and the outlook for further developments in this field. The state of the art in the management of childhood asthma is presented in the next two chapters: one focuses on the therapy of acute asthma, while the other outlines preventive approaches. Other topics covered include the diagnosis and management of sleep apnea, the applications of both rigid and flexible bronchoscopy in the pediatric age group, as well as laryngotracheal abnormalities and the new developments in surgical techniques for anomalies causing upper airway obstruction. Toxic insults to the lungs by environmental toxins, drugs, acid reflux or pulmonary disease secondary to systemic disorders are very thoroughly discussed as is the approach to the child who develops signs of chronic lung disease. The final chapter focuses on lung transplantation in children with terminal disease and presents results from the center with the greatest experience to date - Document LIN Search class: ['meda'], ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A89661154X.jsonld

Stateless citizenship : the Palestinian-Arab citizens of Israel

In Stateless Citizenship, Shourideh C. Molavi examines the mechanisms of exclusion of Palestinian citizens in the Zionist incorporation regime, and centres our analytical gaze on the paradox that it is through the provision of Israeli citizenship that Palestinians are deemed stateless Introduction -- Liberal citizenship : ambiguities and inconsistencies -- The Israeli incorporation regime -- Israeli hostipitality -- Liberal pretence of a Jewish state -- From citizenship to stateless citizenship -- The anatomy of stateless citizenship -- Conclusion -- Appendix I : selections from The democratic constitution by Adalah : Legal Center for Arab Minority Rights in Israel (20 March 2007) -- Appendix II : selections from The Haifa declaration by Mada al-Carmel : The Arab Center for Applied Social Research (15 May 2007) -- References -- Index

[ "['his']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Stateless citizenship : the Palestinian-Arab citizens of Israel - Document Abstract: In Stateless Citizenship, Shourideh C. Molavi examines the mechanisms of exclusion of Palestinian citizens in the Zionist incorporation regime, and centres our analytical gaze on the paradox that it is through the provision of Israeli citizenship that Palestinians are deemed stateless Introduction -- Liberal citizenship : ambiguities and inconsistencies -- The Israeli incorporation regime -- Israeli hostipitality -- Liberal pretence of a Jewish state -- From citizenship to stateless citizenship -- The anatomy of stateless citizenship -- Conclusion -- Appendix I : selections from The democratic constitution by Adalah : Legal Center for Arab Minority Rights in Israel (20 March 2007) -- Appendix II : selections from The Haifa declaration by Mada al-Carmel : The Arab Center for Applied Social Research (15 May 2007) -- References -- Index - Document LIN Search class: ['his'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655665057.jsonld

Handbook of social choice and welfare : volume 2

This second part of a two-volume set continues to describe economists' efforts to quantify the social decisions people necessarily make and the philosophies that those choices define.€ Contributors draw on lessons from€philosophy, history, and other disciplines, but they ultimately use editor Kenneth Arrow's seminal work on social choice as a jumping-off point for discussing ways to incentivize, punish, and distribute€goods.€ Develops many subjects from Volume 1 (2002) while introducing new themes in welfare economics and social choice

[ "['oek']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Handbook of social choice and welfare : volume 2 - Document Abstract: This second part of a two-volume set continues to describe economists' efforts to quantify the social decisions people necessarily make and the philosophies that those choices define.€ Contributors draw on lessons from€philosophy, history, and other disciplines, but they ultimately use editor Kenneth Arrow's seminal work on social choice as a jumping-off point for discussing ways to incentivize, punish, and distribute€goods.€ Develops many subjects from Volume 1 (2002) while introducing new themes in welfare economics and social choice - Document LIN Search class: ['oek'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1664758364.jsonld

Unfelt : the language of affect in the British Enlightenment

"Offers a new account of feeling in British Enlightenment literature, showing how writers discreetly evoke a hidden layer of affect that supports and intensifies our strongly felt passions and sentiments"--

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Unfelt : the language of affect in the British Enlightenment - Document Abstract: "Offers a new account of feeling in British Enlightenment literature, showing how writers discreetly evoke a hidden layer of affect that supports and intensifies our strongly felt passions and sentiments"-- - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655256874.jsonld

Finite Geometry and Character Theory

Difference sets are of central interest in finite geometry and design theory. One of the main techniques to investigate abelian difference sets is a discrete version of the classical Fourier transform (i.e., character theory) in connection with algebraic number theory. This approach is described using only basic knowledge of algebra and algebraic number theory. It contains not only most of our present knowledge about abelian difference sets, but also gives applications of character theory to projective planes with quasiregular collineation groups. Therefore, the book is of interest both to geometers and mathematicians working on difference sets. Moreover, the Fourier transform is important in more applied branches of discrete mathematics such as coding theory and shift register sequences

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Finite Geometry and Character Theory - Document Abstract: Difference sets are of central interest in finite geometry and design theory. One of the main techniques to investigate abelian difference sets is a discrete version of the classical Fourier transform (i.e., character theory) in connection with algebraic number theory. This approach is described using only basic knowledge of algebra and algebraic number theory. It contains not only most of our present knowledge about abelian difference sets, but also gives applications of character theory to projective planes with quasiregular collineation groups. Therefore, the book is of interest both to geometers and mathematicians working on difference sets. Moreover, the Fourier transform is important in more applied branches of discrete mathematics such as coding theory and shift register sequences - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1651877122.jsonld

Computer Simulation Study of Collective Phenomena in Dense Suspensions of Red Blood Cells under Shear

The rheology of dense red blood cell suspensions is investigated via computer simulations based on the lattice Boltzmann, the immersed boundary, and the finite element methods. The red blood cells are treated as extended and deformable particles immersed in the ambient fluid. In the first part of the work, the numerical model and strategies for stress evaluation are discussed. In the second part, the behavior of the suspensions in simple shear flow is studied for different volume fractions, particle deformabilities, and shear rates. Shear thinning behavior is recovered. The existence of a shear-induced transition from a tumbling to a tank-treading motion is demonstrated. The transition can be parameterized by a single quantity, namely the effective capillary number. It is the ratio of the suspension stress and the characteristic particle membrane stress. At the transition point, a strong increase in the orientational order of the red blood cells and a significant decrease of the particle diffusivity are observed. However, the average cell deformation shows no signature of the transition

[ "['bio']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Computer Simulation Study of Collective Phenomena in Dense Suspensions of Red Blood Cells under Shear - Document Abstract: The rheology of dense red blood cell suspensions is investigated via computer simulations based on the lattice Boltzmann, the immersed boundary, and the finite element methods. The red blood cells are treated as extended and deformable particles immersed in the ambient fluid. In the first part of the work, the numerical model and strategies for stress evaluation are discussed. In the second part, the behavior of the suspensions in simple shear flow is studied for different volume fractions, particle deformabilities, and shear rates. Shear thinning behavior is recovered. The existence of a shear-induced transition from a tumbling to a tank-treading motion is demonstrated. The transition can be parameterized by a single quantity, namely the effective capillary number. It is the ratio of the suspension stress and the characteristic particle membrane stress. At the transition point, a strong increase in the orientational order of the red blood cells and a significant decrease of the particle diffusivity are observed. However, the average cell deformation shows no signature of the transition - Document LIN Search class: ['bio'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A847354725.jsonld

War and conflict in the early modern world : 1500-1700

Innovative warfare, 1450s-1520s -- Maritime conflict and colonial expansion, 1490s-1530s -- Schism and social conflict, 1510s-1560s -- Dynastic war and state development, 1520s-1580s -- Noble violence, 1520s-1620s -- Sectarian violence and religious warfare, 1560s-1640s -- Raiding warfare, 1580s-1640s -- Peasant revolt and rural conflict, 1590s-1650s -- Ethnic conflict, 1620s-1660s -- Rebellion and civil warfare, 1630s-1660s -- Mercantile war, 1630s-1690s -- Territorial war, 1660s-1700s -- Conclusion: c. 1700

[ "['his']", "['tec']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: War and conflict in the early modern world : 1500-1700 - Document Abstract: Innovative warfare, 1450s-1520s -- Maritime conflict and colonial expansion, 1490s-1530s -- Schism and social conflict, 1510s-1560s -- Dynastic war and state development, 1520s-1580s -- Noble violence, 1520s-1620s -- Sectarian violence and religious warfare, 1560s-1640s -- Raiding warfare, 1580s-1640s -- Peasant revolt and rural conflict, 1590s-1650s -- Ethnic conflict, 1620s-1660s -- Rebellion and civil warfare, 1630s-1660s -- Mercantile war, 1630s-1690s -- Territorial war, 1660s-1700s -- Conclusion: c. 1700 - Document LIN Search class: ['his'], ['tec'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A890476845.jsonld

Theories of dynamic cosmopolitanism in modern European history

It is often assumed that cosmopolitan thinkers since the Renaissance have simply adopted and refined concepts from classical antiquity. This study argues that modern European cosmopolitanism should be perceived as a unique phenomenon, distinct from Greek and Roman forms of cosmopolitan thinking. One key feature is its dynamism, or the idea of change built into modern theories of cosmopolitanism. Covering the period from the 1530s to the 1920s, this book investigates various manifestations of cosmopolitanism, including normative individualism, the dawn of historical thinking, and the dynamic conceptions of law and rights and of the international community. It analyses the international legal theories of selected authors from Francisco de Vitoria to Austrian lawyers Heinrich Lammasch and Alfred Verdross. The author focuses in particular on the development of hospitality rights and the right to immigration, republicanism and cosmopolitanism, and cosmopolitan education. --

[ "['jur']", "['sow']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Theories of dynamic cosmopolitanism in modern European history - Document Abstract: It is often assumed that cosmopolitan thinkers since the Renaissance have simply adopted and refined concepts from classical antiquity. This study argues that modern European cosmopolitanism should be perceived as a unique phenomenon, distinct from Greek and Roman forms of cosmopolitan thinking. One key feature is its dynamism, or the idea of change built into modern theories of cosmopolitanism. Covering the period from the 1530s to the 1920s, this book investigates various manifestations of cosmopolitanism, including normative individualism, the dawn of historical thinking, and the dynamic conceptions of law and rights and of the international community. It analyses the international legal theories of selected authors from Francisco de Vitoria to Austrian lawyers Heinrich Lammasch and Alfred Verdross. The author focuses in particular on the development of hospitality rights and the right to immigration, republicanism and cosmopolitanism, and cosmopolitan education. -- - Document LIN Search class: ['jur'], ['sow'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1680665995.jsonld

Critical responses about the black family in Toni Morrison's God help the child : conflicts in comradeship

"This book shows the integral role of the "conscious African family" in developing commercial success stories such as those of Morrison's protagonist, Bride. Bride's accomplishments are an extension of a superficial "cult of celebrity" until a significant journey helps her redefine success by building a community and family"--

[ "['lit']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Critical responses about the black family in Toni Morrison's God help the child : conflicts in comradeship - Document Abstract: "This book shows the integral role of the "conscious African family" in developing commercial success stories such as those of Morrison's protagonist, Bride. Bride's accomplishments are an extension of a superficial "cult of celebrity" until a significant journey helps her redefine success by building a community and family"-- - Document LIN Search class: ['lit'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A840755600.jsonld

The Harlem Renaissance : a very short introduction

Machine generated contents note: -- Chapter 1. When the Negro Was In Vogue -- Chapter 2. Defining New Negro Identities -- Chapter 3. Harlem: City of Dream -- Chapter 4. What Is Africa to Me? -- Chapter 5. Strong Roots Sink Down -- Epilogue: Beyond Harlem "The Harlem Renaissance was a cultural awakening among African Americans between the two world wars. It was the cultural phase of the "New Negro" movement, a social and political phenomenon that promoted a proud racial identity, economic independence, and progressive politics. In this Very Short Introduction, Cheryl A. Wall captures the Harlem Renaissance's zeitgeist by identifying issues and strategies that engaged writers, musicians, and visual artists alike. She introduces key figures such as Langston Hughes, Zora Neale Hurston, Claude McKay, and Jean Toomer, along with such signature texts as "Mother to Son," "Harlem Shadows," and Cane. In examining the "New Negro," she looks at the art of photographer James Van der Zee and painters Archibald Motley and Laura Wheeler and the way Marita Bonner, Jessie Fauset, and Nella Larsen explored the dilemmas of gender identity for New Negro women. Focusing on Harlem as a cultural capital, Wall covers theater in New York, where black musicals were produced on Broadway almost every year during the 1920s. She also depicts Harlem nightlife with its rent parties and clubs catering to working class blacks, wealthy whites, and gays of both races, and the movement of Renaissance artists to Paris. From Hughes's "The Negro Speaks of Rivers" to W.E.B. Du Bois's novel Dark Princess, black Americans explored their relationship to Africa. Many black American intellectuals met African intellectuals in Paris, where they made common cause against European colonialism and race prejudice. Folklore - spirituals, stories, sermons, and dance - was considered raw material that the New Negro artist could alchemize into art. Consequently, they applauded the performance of spirituals on the concert stage by artists like Roland Hayes and Paul Robeson. The Harlem Renaissance left an indelible mark not only on African American visual and performing arts, but, as Cheryl Wall shows, its legacies are all around us"--

[ "['lit']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Harlem Renaissance : a very short introduction - Document Abstract: Machine generated contents note: -- Chapter 1. When the Negro Was In Vogue -- Chapter 2. Defining New Negro Identities -- Chapter 3. Harlem: City of Dream -- Chapter 4. What Is Africa to Me? -- Chapter 5. Strong Roots Sink Down -- Epilogue: Beyond Harlem "The Harlem Renaissance was a cultural awakening among African Americans between the two world wars. It was the cultural phase of the "New Negro" movement, a social and political phenomenon that promoted a proud racial identity, economic independence, and progressive politics. In this Very Short Introduction, Cheryl A. Wall captures the Harlem Renaissance's zeitgeist by identifying issues and strategies that engaged writers, musicians, and visual artists alike. She introduces key figures such as Langston Hughes, Zora Neale Hurston, Claude McKay, and Jean Toomer, along with such signature texts as "Mother to Son," "Harlem Shadows," and Cane. In examining the "New Negro," she looks at the art of photographer James Van der Zee and painters Archibald Motley and Laura Wheeler and the way Marita Bonner, Jessie Fauset, and Nella Larsen explored the dilemmas of gender identity for New Negro women. Focusing on Harlem as a cultural capital, Wall covers theater in New York, where black musicals were produced on Broadway almost every year during the 1920s. She also depicts Harlem nightlife with its rent parties and clubs catering to working class blacks, wealthy whites, and gays of both races, and the movement of Renaissance artists to Paris. From Hughes's "The Negro Speaks of Rivers" to W.E.B. Du Bois's novel Dark Princess, black Americans explored their relationship to Africa. Many black American intellectuals met African intellectuals in Paris, where they made common cause against European colonialism and race prejudice. Folklore - spirituals, stories, sermons, and dance - was considered raw material that the New Negro artist could alchemize into art. Consequently, they applauded the performance of spirituals on the concert stage by artists like Roland Hayes and Paul Robeson. The Harlem Renaissance left an indelible mark not only on African American visual and performing arts, but, as Cheryl Wall shows, its legacies are all around us"-- - Document LIN Search class: ['lit'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A538915013.jsonld

Liberalism and Islam : practical reconciliation between the liberal state and Shiite Muslims

"This book examines the possibility of reconciliation between liberalism and Shiite Islam. By examining two key liberal theories, this book shows that secular liberalism is not justifiable in the view of Shiite Islamic thought. Yet, since the liberal state is tolerant of Shiite Muslim citizens, at the practical level, there is no ground for conflict between liberal societies and Shiite Muslim minorities. Therefore, whilst Shiite Muslims at home should refrain from constructing the basic structure of their societies in accordance with liberal theory, Shiite Muslim minorities of liberal societies should accept the basic structure of these societies in return for receiving freedoms, protections, and opportunities." -- Book jacket

[ "['rel']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Liberalism and Islam : practical reconciliation between the liberal state and Shiite Muslims - Document Abstract: "This book examines the possibility of reconciliation between liberalism and Shiite Islam. By examining two key liberal theories, this book shows that secular liberalism is not justifiable in the view of Shiite Islamic thought. Yet, since the liberal state is tolerant of Shiite Muslim citizens, at the practical level, there is no ground for conflict between liberal societies and Shiite Muslim minorities. Therefore, whilst Shiite Muslims at home should refrain from constructing the basic structure of their societies in accordance with liberal theory, Shiite Muslim minorities of liberal societies should accept the basic structure of these societies in return for receiving freedoms, protections, and opportunities." -- Book jacket - Document LIN Search class: ['rel'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A161782335X.jsonld

Neugliederung des Bundesgebietes - oder Kooperation der Bundesländer?

The precondition for a functioning democratic and social federation is that the constituent states be capable of good performance. In Germany, not all Länder meet this precondition to a sufficient extent. In the city states and smaller Länder, policy-making has effect cutting across state borders. Other Länder do not have the size necessary for providing important infrastructure and administrative services. Furthermore, some Länder cannot dispose on own financial resources to fulfil necessary tasks. A growing amount of transfer payments in the context of fiscal equalisation, determined to compensate for divergent capacities, increasingly undermine the autonomy of the states. Territorial restructuring of the Länder is an option envisioned by the Basic Law to overcome these deficiencies in the federation. Both the implementation of such a reform and its positive effects can only be realised in the long term. Intensifying and improving cooperation between Länder governments could be seen as a preliminary step towards territorial restructuring, and, to a certain extent, provides an alternative. Fiscal equalisation should be developed so as not to hinder these options. Territorial restructuring and cooperation of Länder governments, based on a spatial framework, should constitute essential building blocks of a federal reform, as it is the revision of constitutional rules of fiscal federalism. This requires a policy of reform of the federation to have a long-term strategic orientation. Voraussetzung für einen funktionierenden demokratischen und sozialen Bundesstaat sind leistungsfähige Länder. Diese Voraussetzung erfüllen nicht alle Länder in dem erforderlichen Maß. In den Stadtstaaten und kleineren Ländern wirkt die Staatstätigkeit erheblich über die Landesgrenzen hinaus. Andere Länder haben nicht die für wichtige Infrastruktur- oder Verwaltungsaufgaben erforderliche Größe. Des Weiteren gibt es Länder, die im Verhältnis zu den notwendigen Aufgaben über keine ausreichende originäre Finanzausstattung verfügen. Weiter wachsende Transfervolumina im Finanzausgleich, die unterschiedlichen Leistungsfähigkeiten ausgleichen sollen, stellen die Autonomie der Länder zunehmend infrage. Die Neugliederung der Länder ist im Grundgesetz als Option vorgesehen, um diese Defizite des Bundesstaats zu überwinden. Sowohl ihre Umsetzung als auch ihre Wirkungen sind nur auf längere Sicht realisierbar. Als Vorstufe und teilweise Alternative kann die Kooperation der Länder durch geeignete Regelungen intensiviert und verbessert werden. Der Finanzausgleich sollte so entwickelt werden, dass er diese Wege nicht verhindert. Länderneugliederung und Kooperation der Länder, basierend auf einem räumlichen Orientierungsrahmen, müssen daher ebenso wie die Finanzverfassung als notwendige Bausteine einer Föderalismusreform aufgegriffen werden. Dafür bedarf es einer längerfristig angelegten Strategie der Staatspolitik.

[ "['oek']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Neugliederung des Bundesgebietes - oder Kooperation der Bundesländer? - Document Abstract: The precondition for a functioning democratic and social federation is that the constituent states be capable of good performance. In Germany, not all Länder meet this precondition to a sufficient extent. In the city states and smaller Länder, policy-making has effect cutting across state borders. Other Länder do not have the size necessary for providing important infrastructure and administrative services. Furthermore, some Länder cannot dispose on own financial resources to fulfil necessary tasks. A growing amount of transfer payments in the context of fiscal equalisation, determined to compensate for divergent capacities, increasingly undermine the autonomy of the states. Territorial restructuring of the Länder is an option envisioned by the Basic Law to overcome these deficiencies in the federation. Both the implementation of such a reform and its positive effects can only be realised in the long term. Intensifying and improving cooperation between Länder governments could be seen as a preliminary step towards territorial restructuring, and, to a certain extent, provides an alternative. Fiscal equalisation should be developed so as not to hinder these options. Territorial restructuring and cooperation of Länder governments, based on a spatial framework, should constitute essential building blocks of a federal reform, as it is the revision of constitutional rules of fiscal federalism. This requires a policy of reform of the federation to have a long-term strategic orientation. Voraussetzung für einen funktionierenden demokratischen und sozialen Bundesstaat sind leistungsfähige Länder. Diese Voraussetzung erfüllen nicht alle Länder in dem erforderlichen Maß. In den Stadtstaaten und kleineren Ländern wirkt die Staatstätigkeit erheblich über die Landesgrenzen hinaus. Andere Länder haben nicht die für wichtige Infrastruktur- oder Verwaltungsaufgaben erforderliche Größe. Des Weiteren gibt es Länder, die im Verhältnis zu den notwendigen Aufgaben über keine ausreichende originäre Finanzausstattung verfügen. Weiter wachsende Transfervolumina im Finanzausgleich, die unterschiedlichen Leistungsfähigkeiten ausgleichen sollen, stellen die Autonomie der Länder zunehmend infrage. Die Neugliederung der Länder ist im Grundgesetz als Option vorgesehen, um diese Defizite des Bundesstaats zu überwinden. Sowohl ihre Umsetzung als auch ihre Wirkungen sind nur auf längere Sicht realisierbar. Als Vorstufe und teilweise Alternative kann die Kooperation der Länder durch geeignete Regelungen intensiviert und verbessert werden. Der Finanzausgleich sollte so entwickelt werden, dass er diese Wege nicht verhindert. Länderneugliederung und Kooperation der Länder, basierend auf einem räumlichen Orientierungsrahmen, müssen daher ebenso wie die Finanzverfassung als notwendige Bausteine einer Föderalismusreform aufgegriffen werden. Dafür bedarf es einer längerfristig angelegten Strategie der Staatspolitik. - Document LIN Search class: ['oek'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A592468976.jsonld

Transitions from school to work : globalization, individualization, and patterns of diversity

Conceptualising school-to-work transitions in context / Ingrid Schoon and Rainer K. Silbereisen -- Thinking about the transition to adulthood: from grand narratives to useful theories / Michael Shanahan and Kyle Longest -- Is stable employment becoming more elusive for young men? / Mary Corcoran and Jordan Matsudaira -- Youth outcomes in the labour markets of advanced economies: decline, deterioration, and causes / Rebekka Christopoulou and Paul Ryan -- Uncertain and unable to commit: a fourteen-country comparison of the impact of globalization on the early life course / Melinda Mills and Hans-Peter Blossfeld -- 'It was not my choice, you know?': young people's subjective views and decision-making processes in biographical transitions / Andreas Walther -- From paradigm to paradox: parental support and transitions to independence / Gill Jones -- Job attitudes and job aspirations in a changing labour market: Germany, 1991-2006 / Christian Ebner and Jutta Allmendinger -- Escaping the gender trap: young women's transition into nontraditional occupations / Marlis Buchmann and Irene Kriesi -- Sequences, patterns, and variations in the assumption of work and family-related roles: evidence from two British birth cohorts / Ingrid Schoon, Andy Ross, and Peter Martin -- Transition to adulthood: linking late-adolescent lifestyles to family and work status in the mid-twenties / Jessica Garrett and Jacquelynne S. Eccles -- Challenges of transitioning into adulthood / Barbara Schneider -- School-related burnout during educational tracks: antecedents and consequences / Katariina Salmela-Aro -- Building skills for positive developmental pathways and successful vocational careers in adulthood: intervention programs within the school context / Karina Weichold -- Integrated transition policies for European young adults: contradictions and solutions / Manuela du Bois-Reymond -- The future at work: labour-market realities and the transition to adulthood / Lynn Karoly

[ "['sow']", "['pae']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Transitions from school to work : globalization, individualization, and patterns of diversity - Document Abstract: Conceptualising school-to-work transitions in context / Ingrid Schoon and Rainer K. Silbereisen -- Thinking about the transition to adulthood: from grand narratives to useful theories / Michael Shanahan and Kyle Longest -- Is stable employment becoming more elusive for young men? / Mary Corcoran and Jordan Matsudaira -- Youth outcomes in the labour markets of advanced economies: decline, deterioration, and causes / Rebekka Christopoulou and Paul Ryan -- Uncertain and unable to commit: a fourteen-country comparison of the impact of globalization on the early life course / Melinda Mills and Hans-Peter Blossfeld -- 'It was not my choice, you know?': young people's subjective views and decision-making processes in biographical transitions / Andreas Walther -- From paradigm to paradox: parental support and transitions to independence / Gill Jones -- Job attitudes and job aspirations in a changing labour market: Germany, 1991-2006 / Christian Ebner and Jutta Allmendinger -- Escaping the gender trap: young women's transition into nontraditional occupations / Marlis Buchmann and Irene Kriesi -- Sequences, patterns, and variations in the assumption of work and family-related roles: evidence from two British birth cohorts / Ingrid Schoon, Andy Ross, and Peter Martin -- Transition to adulthood: linking late-adolescent lifestyles to family and work status in the mid-twenties / Jessica Garrett and Jacquelynne S. Eccles -- Challenges of transitioning into adulthood / Barbara Schneider -- School-related burnout during educational tracks: antecedents and consequences / Katariina Salmela-Aro -- Building skills for positive developmental pathways and successful vocational careers in adulthood: intervention programs within the school context / Karina Weichold -- Integrated transition policies for European young adults: contradictions and solutions / Manuela du Bois-Reymond -- The future at work: labour-market realities and the transition to adulthood / Lynn Karoly - Document LIN Search class: ['sow'], ['pae'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1809988020.jsonld

I almost forgot : unpublished Colin Rowe

"A book of unpublished writings (essays, lectures and some ephemera including letters and postcards) by the distinguished architectural historian Colin Rowe"--

[ "['pae']", "['bau']", "['his']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: I almost forgot : unpublished Colin Rowe - Document Abstract: "A book of unpublished writings (essays, lectures and some ephemera including letters and postcards) by the distinguished architectural historian Colin Rowe"-- - Document LIN Search class: ['pae'], ['bau'], ['his'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1759601241.jsonld

Emerging technologies for biorefineries, biofuels, and value-added commodities

This book provides in-depth coverage on the latest concepts, systems, and technologies that are being utilized in biorefineries for the production of biofuels and value-added commodities. Written by internationally recognized experts, the book provides a comprehensive overview of pretreatment technology for biorefineries and biofuels, enzymatic hydrolysis and fermentation technology for biofuel production, and lignin valorization for developing new products from waste lignin. The book will be a valuable resource for researchers and professionals working in process engineering, product engineering, material science, and systems and synthetic biology in the fields of biorefining, biofuel, biomaterials, environmental waste utilization, and biotechnology. A comprehensive introduction to emerging technologies for biorefineries; Introduces valuable co-products produced from lignin polymer in a biorefinery concept; Provides a roadmap to future development of economically and environmentally sustainable biorefineries.

[ "['cet']", "['che']", "['mas']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Emerging technologies for biorefineries, biofuels, and value-added commodities - Document Abstract: This book provides in-depth coverage on the latest concepts, systems, and technologies that are being utilized in biorefineries for the production of biofuels and value-added commodities. Written by internationally recognized experts, the book provides a comprehensive overview of pretreatment technology for biorefineries and biofuels, enzymatic hydrolysis and fermentation technology for biofuel production, and lignin valorization for developing new products from waste lignin. The book will be a valuable resource for researchers and professionals working in process engineering, product engineering, material science, and systems and synthetic biology in the fields of biorefining, biofuel, biomaterials, environmental waste utilization, and biotechnology. A comprehensive introduction to emerging technologies for biorefineries; Introduces valuable co-products produced from lignin polymer in a biorefinery concept; Provides a roadmap to future development of economically and environmentally sustainable biorefineries. - Document LIN Search class: ['cet'], ['che'], ['mas'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655407767.jsonld

Basic Elements of Real Analysis

From the author of the highly acclaimed "A First Course in Real Analysis" comes a volume designed specifically for a short one- semester course in real analysis. Many students of mathematics and those students who intend to study any of the physical sciences and computer science need a text that presents the most important material in a brief and elementary fashion. The author has included such elementary topics as the real number system, the theory at the basis of elementary calculus, the topology of metric spaces and infinite series. There are proofs of the basic theorems on limits at a pace that is deliberate and detailed. There are illustrative examples throughout with over 45 figures. The Real Number System -- Continuity and Limits -- Basic Properties of Functions on ?1 -- Elementary Theory of Differentiation -- Elementary Theory of Integration -- Elementary Theory of Metric Spaces -- Differentiation and Integration in ?N -- Infinite Series -- The Derivative of an Integral -- The Riemann-Stieltjes Integral -- The Implicit Function Theorem. Lagrange Multipliers -- Vector Functions on ?N; The Theorems of Green and stokes.

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Basic Elements of Real Analysis - Document Abstract: From the author of the highly acclaimed "A First Course in Real Analysis" comes a volume designed specifically for a short one- semester course in real analysis. Many students of mathematics and those students who intend to study any of the physical sciences and computer science need a text that presents the most important material in a brief and elementary fashion. The author has included such elementary topics as the real number system, the theory at the basis of elementary calculus, the topology of metric spaces and infinite series. There are proofs of the basic theorems on limits at a pace that is deliberate and detailed. There are illustrative examples throughout with over 45 figures. The Real Number System -- Continuity and Limits -- Basic Properties of Functions on ?1 -- Elementary Theory of Differentiation -- Elementary Theory of Integration -- Elementary Theory of Metric Spaces -- Differentiation and Integration in ?N -- Infinite Series -- The Derivative of an Integral -- The Riemann-Stieltjes Integral -- The Implicit Function Theorem. Lagrange Multipliers -- Vector Functions on ?N; The Theorems of Green and stokes. - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1851641645.jsonld

The Routledge handbook of multilingualism

"The Routledge Handbook of Multilingualism provides a comprehensive survey of the field of multilingualism for a global readership, and an overview of the research which situates multilingualism in its social, cultural and political context. This fully revised edition not only updates several of the original chapters, but introduces many new ones that enrich contemporary debates in the burgeoning field of multilingualism. With a decolonial perspective and including leading new and established contributors from different regions of the globe, the handbook offers a critical overview of the interdisciplinary field of multilingualism, providing a range of central themes, key debates and research sites for a global readership. Chapters address the profound epistemological and ontological challenges and shifts produced since the first edition in 2012. The handbook includes an introduction, five sections with 28 chapters and an afterword. The chapters are structured around sub-themes, such as Coloniality and Multilingualism, Concepts and Theories in Multilingualism and Multilingualism and Education. This ground-breaking text is a crucial resource for researchers, scholars and postgraduate students interested in multilingualism from areas such as sociolinguistics, applied linguistics, anthropology and education"--

[ "['lit']", "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Routledge handbook of multilingualism - Document Abstract: "The Routledge Handbook of Multilingualism provides a comprehensive survey of the field of multilingualism for a global readership, and an overview of the research which situates multilingualism in its social, cultural and political context. This fully revised edition not only updates several of the original chapters, but introduces many new ones that enrich contemporary debates in the burgeoning field of multilingualism. With a decolonial perspective and including leading new and established contributors from different regions of the globe, the handbook offers a critical overview of the interdisciplinary field of multilingualism, providing a range of central themes, key debates and research sites for a global readership. Chapters address the profound epistemological and ontological challenges and shifts produced since the first edition in 2012. The handbook includes an introduction, five sections with 28 chapters and an afterword. The chapters are structured around sub-themes, such as Coloniality and Multilingualism, Concepts and Theories in Multilingualism and Multilingualism and Education. This ground-breaking text is a crucial resource for researchers, scholars and postgraduate students interested in multilingualism from areas such as sociolinguistics, applied linguistics, anthropology and education"-- - Document LIN Search class: ['lit'], ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1022244590.jsonld

Advanced boundary element methods : treatment of boundary value, transmission and contact problems

This book is devoted to the mathematical analysis of the numerical solution of boundary integral equations treating boundary value, transmission and contact problems arising in elasticity, acoustic and electromagnetic scattering. It serves as the mathematical foundation of the boundary element methods (BEM) both for static and dynamic problems. The book presents a systematic approach to the variational methods for boundary integral equations including the treatment with variational inequalities for contact problems. It also features adaptive BEM, hp-version BEM, coupling of finite and boundary element methods - efficient computational tools that have become extremely popular in applications. Familiarizing readers with tools like Mellin transformation and pseudodifferential operators as well as convex and nonsmooth analysis for variational inequalities, it concisely presents efficient, state-of-the-art boundary element approximations and points to up-to-date research. The authors are well known for their fundamental work on boundary elements and related topics, and this book is a major contribution to the modern theory of the BEM (especially for error controlled adaptive methods and for unilateral contact and dynamic problems) and is a valuable resource for applied mathematicians, engineers, scientists and graduate students Intro -- Preface -- Contents -- 1 Introduction -- 1.1 The Basic Approximation Problems -- 1.2 Convergence of Projection Methods -- 2 Some Elements of Potential Theory -- 2.1 Representation Formulas -- 2.2 Single- and Double-Layer Potential -- 2.2.1 Some Remarks on Distributions -- 2.2.2 Jump Relations -- 2.3 Mapping Properties of Boundary Integral Operators -- 2.4 Laplace's Equation in R3 -- 2.4.1 Representation Formula -- 2.5 Calderon Projector -- 2.6 Use of Complex Function Theory -- 2.6.1 Representation Formula Again -- 2.6.2 Applicable Representation of the Hypersingular Integral Operator -- 3 A Fourier Series Approach -- 3.1 Fourier Expansion-The Sobolev Space Hs [0, 2 π] -- 3.2 The Sobolev Space Hs(Γ) -- 3.3 Interior Dirichlet Problem -- 3.4 The Boundary Integral Operators in a Scale of Sobolev Spaces -- 3.4.1 The Operators V and W -- 3.4.2 The Operators K and K' -- 3.4.2.1 A Geometric Interpretation of the Kernel of the Double Layer Potential -- 3.5 Solution of Exterior Dirichlet Problem by BIE -- 3.6 A First Gårding Inequality -- 4 Mixed BVPs, Transmission Problems and Pseudodifferential Operators -- 4.1 Mixed Boundary Value Problems -- 4.2 The Helmholtz Interface Problems -- 4.3 Screen Problems -- 4.4 Interface Problem in Linear Elasticity -- 4.5 A Strongly Elliptic System for Exterior Maxwell's Equations -- 4.5.1 A Simple Layer Procedure -- 4.5.2 Modified Boundary Integral Equations -- 5 The Signorini Problem and More Nonsmooth BVPs and Their Boundary Integral Formulation -- 5.1 The Signorini Problem in Its Simplest Form -- 5.2 A Variational Inequality of the Second Kind Modelling Unilateral Frictional Contact -- 5.3 A Nonmonotone Contact Problem from Delamination -- 6 A Primer to Boundary Element Methods -- 6.1 Galerkin Scheme for Strongly Elliptic Operators -- 6.2 Galerkin Methods for the Single-Layer Potential.

[ "['mat']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Advanced boundary element methods : treatment of boundary value, transmission and contact problems - Document Abstract: This book is devoted to the mathematical analysis of the numerical solution of boundary integral equations treating boundary value, transmission and contact problems arising in elasticity, acoustic and electromagnetic scattering. It serves as the mathematical foundation of the boundary element methods (BEM) both for static and dynamic problems. The book presents a systematic approach to the variational methods for boundary integral equations including the treatment with variational inequalities for contact problems. It also features adaptive BEM, hp-version BEM, coupling of finite and boundary element methods - efficient computational tools that have become extremely popular in applications. Familiarizing readers with tools like Mellin transformation and pseudodifferential operators as well as convex and nonsmooth analysis for variational inequalities, it concisely presents efficient, state-of-the-art boundary element approximations and points to up-to-date research. The authors are well known for their fundamental work on boundary elements and related topics, and this book is a major contribution to the modern theory of the BEM (especially for error controlled adaptive methods and for unilateral contact and dynamic problems) and is a valuable resource for applied mathematicians, engineers, scientists and graduate students Intro -- Preface -- Contents -- 1 Introduction -- 1.1 The Basic Approximation Problems -- 1.2 Convergence of Projection Methods -- 2 Some Elements of Potential Theory -- 2.1 Representation Formulas -- 2.2 Single- and Double-Layer Potential -- 2.2.1 Some Remarks on Distributions -- 2.2.2 Jump Relations -- 2.3 Mapping Properties of Boundary Integral Operators -- 2.4 Laplace's Equation in R3 -- 2.4.1 Representation Formula -- 2.5 Calderon Projector -- 2.6 Use of Complex Function Theory -- 2.6.1 Representation Formula Again -- 2.6.2 Applicable Representation of the Hypersingular Integral Operator -- 3 A Fourier Series Approach -- 3.1 Fourier Expansion-The Sobolev Space Hs [0, 2 π] -- 3.2 The Sobolev Space Hs(Γ) -- 3.3 Interior Dirichlet Problem -- 3.4 The Boundary Integral Operators in a Scale of Sobolev Spaces -- 3.4.1 The Operators V and W -- 3.4.2 The Operators K and K' -- 3.4.2.1 A Geometric Interpretation of the Kernel of the Double Layer Potential -- 3.5 Solution of Exterior Dirichlet Problem by BIE -- 3.6 A First Gårding Inequality -- 4 Mixed BVPs, Transmission Problems and Pseudodifferential Operators -- 4.1 Mixed Boundary Value Problems -- 4.2 The Helmholtz Interface Problems -- 4.3 Screen Problems -- 4.4 Interface Problem in Linear Elasticity -- 4.5 A Strongly Elliptic System for Exterior Maxwell's Equations -- 4.5.1 A Simple Layer Procedure -- 4.5.2 Modified Boundary Integral Equations -- 5 The Signorini Problem and More Nonsmooth BVPs and Their Boundary Integral Formulation -- 5.1 The Signorini Problem in Its Simplest Form -- 5.2 A Variational Inequality of the Second Kind Modelling Unilateral Frictional Contact -- 5.3 A Nonmonotone Contact Problem from Delamination -- 6 A Primer to Boundary Element Methods -- 6.1 Galerkin Scheme for Strongly Elliptic Operators -- 6.2 Galerkin Methods for the Single-Layer Potential. - Document LIN Search class: ['mat'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1650101139.jsonld

Gösta Mittag-Leffler : A Man of Conviction

Gösta Mittag-Leffler (1846–1927) played a significant role on the world stage as both a scientist and entrepreneur. Regarded as the father of Swedish mathematics, his influence extended far beyond his chosen field because of his extensive network of international contacts in science, business, and the arts. His social and professional circles included such luminaries as Selma Lagerlöf, Albert Einstein, Sonya Kovalevsky, Alfred Nobel, Karl Weierstrass, Henri Poincaré, and Marie Curie. (He was instrumental in seeing to it that the latter was awarded the Nobel Prize, not once but twice.) One of Mittag-Leffler’s major accomplishments was the founding of the journal Acta Mathematica in 1882. Today the journal is still published by Institut Mittag-Leffler and Sweden’s Royal Academy of Sciences, and it continues to be one of the most prestigious journals in mathematics. Arild Stubhaug’s research for this monumental biography of the Swedish mathematician relied on a wealth of primary and secondary resources, including more than 30000 letters that are part of the Mittag-Leffler archives. Written in a lucid and compelling manner, the biography contains many hitherto unknown facts about Mittag-Leffler’s personal life and professional endeavors. It will be of great interest to both mathematicians and general readers interested in science and culture. Prelude -- Journey at the Turn of the Century -- The House in Djursholm -- Family and Childhood -- Leffler and Mittag -- Gösta’s Parents -- The Teacher’s Family in Stockholm -- Four Years at Stockholm Gymnasium -- Studies -- First Semester in Uppsala -- Festivities and Student Drills -- Summer on the West Coast -- The Aristocracy of Lennartsnäs -- Controversy over the Academic Degree Regulations -- His Sister’s Debut and His Father’s Illness -- First Trip Abroad -- The Stablemaster at Övrejärva -- Doctoral Degree -- Docent in Uppsala -- A Turning Point -- With a Room in Paris -- In Göttingen -- With a Base in Berlin -- Traveling to Helsingfors -- In the Finnish Capital -- Waiting Time -- Professor, Husband, and Entrepreneur -- Installation in Helsingfors, Anniversary Celebration in Uppsala -- In “The Land Called Suomi” -- First Encounter with Italy -- Meeting Signe -- Acta Mathematica -- Wedding and Honeymoon -- New Roles in Stockholm -- Acta and the College -- Sonya K. and the “Brilliant” Life -- Winter Travels -- Summer in Switzerland -- Strife in the Academy of Sciences -- Rector of the College -- Social Entertainments Abound -- A Terrible Summer -- Involved in All Manner of Things -- Traveling to Algeria -- Meeting in Wernigerode -- A New Shift in Stockholm -- King Oscar’s Prize -- New Efforts on Sonya’s Behalf -- Fame, Friends, and Enemies -- Construction in Djursholm -- Sonya’s Death -- Life Goes On – I -- Donation to the College -- Business Affairs, Birth and Death -- Life Goes On – II -- Battlefields -- Celebrating His 50th Birthday -- Seeking a “Practical, Useful Result” -- A Marriage Teetering on the Brink -- One Thing After Another -- On the Verge of Bankruptcy -- Celebrating Niels Henrik Abel -- Two Funerals -- The Nobel Prizes, Another Battle -- The Almanac Dispute -- Signe’s Inheritance -- Political Ambitions and Huge Business Ventures -- Celebrating His 60th Birthday -- King Oscar’s Death -- More Celebrations and More Disputes -- The Big Poincaré Campaign -- From Dreams of Power to Resignation -- A New Home in the Dalarna Region -- Travels, Congresses, Prizes -- The Case Against Prime Minister Staaff -- World War, Writing His Will and Testament -- Establishment of a Mathematics Institute -- International Cooperation After the War -- Signe’s Death -- Still on the Move -- New Travels and Financial Setbacks -- Last Years.

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Gösta Mittag-Leffler : A Man of Conviction - Document Abstract: Gösta Mittag-Leffler (1846–1927) played a significant role on the world stage as both a scientist and entrepreneur. Regarded as the father of Swedish mathematics, his influence extended far beyond his chosen field because of his extensive network of international contacts in science, business, and the arts. His social and professional circles included such luminaries as Selma Lagerlöf, Albert Einstein, Sonya Kovalevsky, Alfred Nobel, Karl Weierstrass, Henri Poincaré, and Marie Curie. (He was instrumental in seeing to it that the latter was awarded the Nobel Prize, not once but twice.) One of Mittag-Leffler’s major accomplishments was the founding of the journal Acta Mathematica in 1882. Today the journal is still published by Institut Mittag-Leffler and Sweden’s Royal Academy of Sciences, and it continues to be one of the most prestigious journals in mathematics. Arild Stubhaug’s research for this monumental biography of the Swedish mathematician relied on a wealth of primary and secondary resources, including more than 30000 letters that are part of the Mittag-Leffler archives. Written in a lucid and compelling manner, the biography contains many hitherto unknown facts about Mittag-Leffler’s personal life and professional endeavors. It will be of great interest to both mathematicians and general readers interested in science and culture. Prelude -- Journey at the Turn of the Century -- The House in Djursholm -- Family and Childhood -- Leffler and Mittag -- Gösta’s Parents -- The Teacher’s Family in Stockholm -- Four Years at Stockholm Gymnasium -- Studies -- First Semester in Uppsala -- Festivities and Student Drills -- Summer on the West Coast -- The Aristocracy of Lennartsnäs -- Controversy over the Academic Degree Regulations -- His Sister’s Debut and His Father’s Illness -- First Trip Abroad -- The Stablemaster at Övrejärva -- Doctoral Degree -- Docent in Uppsala -- A Turning Point -- With a Room in Paris -- In Göttingen -- With a Base in Berlin -- Traveling to Helsingfors -- In the Finnish Capital -- Waiting Time -- Professor, Husband, and Entrepreneur -- Installation in Helsingfors, Anniversary Celebration in Uppsala -- In “The Land Called Suomi” -- First Encounter with Italy -- Meeting Signe -- Acta Mathematica -- Wedding and Honeymoon -- New Roles in Stockholm -- Acta and the College -- Sonya K. and the “Brilliant” Life -- Winter Travels -- Summer in Switzerland -- Strife in the Academy of Sciences -- Rector of the College -- Social Entertainments Abound -- A Terrible Summer -- Involved in All Manner of Things -- Traveling to Algeria -- Meeting in Wernigerode -- A New Shift in Stockholm -- King Oscar’s Prize -- New Efforts on Sonya’s Behalf -- Fame, Friends, and Enemies -- Construction in Djursholm -- Sonya’s Death -- Life Goes On – I -- Donation to the College -- Business Affairs, Birth and Death -- Life Goes On – II -- Battlefields -- Celebrating His 50th Birthday -- Seeking a “Practical, Useful Result” -- A Marriage Teetering on the Brink -- One Thing After Another -- On the Verge of Bankruptcy -- Celebrating Niels Henrik Abel -- Two Funerals -- The Nobel Prizes, Another Battle -- The Almanac Dispute -- Signe’s Inheritance -- Political Ambitions and Huge Business Ventures -- Celebrating His 60th Birthday -- King Oscar’s Death -- More Celebrations and More Disputes -- The Big Poincaré Campaign -- From Dreams of Power to Resignation -- A New Home in the Dalarna Region -- Travels, Congresses, Prizes -- The Case Against Prime Minister Staaff -- World War, Writing His Will and Testament -- Establishment of a Mathematics Institute -- International Cooperation After the War -- Signe’s Death -- Still on the Move -- New Travels and Financial Setbacks -- Last Years. - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A860697908.jsonld

Modernism, science, and technology

"An introductory survey of the scientific and technological contexts of modernist writing, a central topic of contemporary modernist studies"-- Machine generated contents note: -- 1. Introduction: Modernism and Science Studies -- 2. The Physical Sciences and Mathematics -- 3. The Life Sciences -- 4. The Social Sciences -- 5. "Pseudosciences" -- Bibliography -- Index

[ "['lit']", "['lin']", "['phi']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Modernism, science, and technology - Document Abstract: "An introductory survey of the scientific and technological contexts of modernist writing, a central topic of contemporary modernist studies"-- Machine generated contents note: -- 1. Introduction: Modernism and Science Studies -- 2. The Physical Sciences and Mathematics -- 3. The Life Sciences -- 4. The Social Sciences -- 5. "Pseudosciences" -- Bibliography -- Index - Document LIN Search class: ['lit'], ['lin'], ['phi'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A895333236.jsonld

The New York Botanical Garden

"In celebration of the Garden's 125th anniversary, this book documents its role as a place of unparalleled beauty in the heart of New York City and an internationally renowned leader in plant research and conservation, as well as science and organic gardening education for children. This revised edition includes more than two hundred stunning new photographs by Larry Lederman, reproductions of rare botanical art from the archival collections, and engaging essays by Garden staff that highlight the expansive growth and development the Garden continues to experience ... Readers will learn how the Garden continues to fulfill its founders' ambitious goals as an iconic museum of plants, stewarding the historic landscape since 1891 and committed to efforts--locally, regionally, nationally, and internationally--to teach humankind about the critical importance of plants for an economically and ecologically sustainable future"--

[ "['bio']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The New York Botanical Garden - Document Abstract: "In celebration of the Garden's 125th anniversary, this book documents its role as a place of unparalleled beauty in the heart of New York City and an internationally renowned leader in plant research and conservation, as well as science and organic gardening education for children. This revised edition includes more than two hundred stunning new photographs by Larry Lederman, reproductions of rare botanical art from the archival collections, and engaging essays by Garden staff that highlight the expansive growth and development the Garden continues to experience ... Readers will learn how the Garden continues to fulfill its founders' ambitious goals as an iconic museum of plants, stewarding the historic landscape since 1891 and committed to efforts--locally, regionally, nationally, and internationally--to teach humankind about the critical importance of plants for an economically and ecologically sustainable future"-- - Document LIN Search class: ['bio'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A630027757.jsonld

Tools and techniques in modal logic

This book treats modal logic as a theory, with several subtheories, such as completeness theory, correspondence theory, duality theory and transfer theory and is intended as a course in modal logic for students who have had prior contact with modal logic and who wish to study it more deeply. It presupposes training in mathematical or logic. Very little specific knowledge is presupposed, most results which are needed are proved in this book

[ "['mat']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Tools and techniques in modal logic - Document Abstract: This book treats modal logic as a theory, with several subtheories, such as completeness theory, correspondence theory, duality theory and transfer theory and is intended as a course in modal logic for students who have had prior contact with modal logic and who wish to study it more deeply. It presupposes training in mathematical or logic. Very little specific knowledge is presupposed, most results which are needed are proved in this book - Document LIN Search class: ['mat'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1602943222.jsonld

The Federal Information Security Management Act (FISMA) : a legal research guide

FISMA was enacted in 2002 to increase national security following the events of 9/11. The Act establishes a matrix of responsiblities across every federal agency to establish security when acquiring information technology. The purpose of this research guide is to aid legal researchers in locating and navigating the best resources to understand the obligations under this Act, process and regulations that must be followed through the acquisition and management of information technology, and the performance and attetsation requirements to ensure compliance. The first part of the guide will focus on the newer Act, FISMA, and resources to research it directly. The later portions of the guide will look more broadly at inter-related resources that will be necessary for your research.--Publisher

[ "['jur']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Federal Information Security Management Act (FISMA) : a legal research guide - Document Abstract: FISMA was enacted in 2002 to increase national security following the events of 9/11. The Act establishes a matrix of responsiblities across every federal agency to establish security when acquiring information technology. The purpose of this research guide is to aid legal researchers in locating and navigating the best resources to understand the obligations under this Act, process and regulations that must be followed through the acquisition and management of information technology, and the performance and attetsation requirements to ensure compliance. The first part of the guide will focus on the newer Act, FISMA, and resources to research it directly. The later portions of the guide will look more broadly at inter-related resources that will be necessary for your research.--Publisher - Document LIN Search class: ['jur'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1611622263.jsonld

Age of opportunity : lessons from the new science of adolescence

"A leading authority draws on new research to explain why the adolescent years are so developmentally crucial, and what we must do to raise happier, more successful kids. Adolescence now lasts longer than ever before. And as world-renowned expert on adolescent psychology Dr. Laurence Steinberg argues, this makes these years the key period in determining individuals' life outcomes, demanding that we change the way we parent, educate, and understand young people. In Age of Opportunity, Steinberg leads readers through a host of new findings -- including groundbreaking original research -- that reveal what the new timetable of adolescence means for parenting 13-year-olds (who may look more mature than they really are) versus 20-somethings (who may not be floundering even when it looks like they are). He also explains how the plasticity of the adolescent brain, rivaling that of years 0 through 3, suggests new strategies for instilling self-control during the teenage years. Packed with useful knowledge, Age of Opportunity is a sweeping book in the tradition of Reviving Ophelia, and an essential guide for parents and educators of teenagers"--

[ "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Age of opportunity : lessons from the new science of adolescence - Document Abstract: "A leading authority draws on new research to explain why the adolescent years are so developmentally crucial, and what we must do to raise happier, more successful kids. Adolescence now lasts longer than ever before. And as world-renowned expert on adolescent psychology Dr. Laurence Steinberg argues, this makes these years the key period in determining individuals' life outcomes, demanding that we change the way we parent, educate, and understand young people. In Age of Opportunity, Steinberg leads readers through a host of new findings -- including groundbreaking original research -- that reveal what the new timetable of adolescence means for parenting 13-year-olds (who may look more mature than they really are) versus 20-somethings (who may not be floundering even when it looks like they are). He also explains how the plasticity of the adolescent brain, rivaling that of years 0 through 3, suggests new strategies for instilling self-control during the teenage years. Packed with useful knowledge, Age of Opportunity is a sweeping book in the tradition of Reviving Ophelia, and an essential guide for parents and educators of teenagers"-- - Document LIN Search class: ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A837547148.jsonld

Photosynthesis : new approaches to the molecular, cellular, and organismal levels

The multiple roles of various reactive oxygen species (ROS) in photosynthetic organisms / Franz-Josef Schmitt, Vladimir D. Kreslavski, Sergey K. Zharmukhamedov, Thomas Friedrich, Gernot Renger, Dmitry A. Los, Vladimir V. Kuznetsov, Suleyman I. Allakhverdiev -- Photooxidation of Mn-bicarbonate complexes by reaction centers of purple bacteria as a possible stage in the evolutionary origin of the water-oxidizing complex of photosystem II / Vasily V. Terentyev, Andrey A. Khorobrykh, Vyacheslav V. Klimov -- Hydrogen metabolism in microalgae / Anatoly A. Tsygankov, Azat Abdullatypov -- The structure and regulation of chloroplast ATP synthase / Alexander N. Malyan -- Structural and functional organization of the pigment-protein complexes of the photosystems in mutant cells of green algae and higher plants / Vladimir G. Ladygin -- Photosynthetic carbon metabolism : strategy of adaptation over evolutionary history / Irina R. Fomina, Karl Y. Biel

[ "['bio']", "['che']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Photosynthesis : new approaches to the molecular, cellular, and organismal levels - Document Abstract: The multiple roles of various reactive oxygen species (ROS) in photosynthetic organisms / Franz-Josef Schmitt, Vladimir D. Kreslavski, Sergey K. Zharmukhamedov, Thomas Friedrich, Gernot Renger, Dmitry A. Los, Vladimir V. Kuznetsov, Suleyman I. Allakhverdiev -- Photooxidation of Mn-bicarbonate complexes by reaction centers of purple bacteria as a possible stage in the evolutionary origin of the water-oxidizing complex of photosystem II / Vasily V. Terentyev, Andrey A. Khorobrykh, Vyacheslav V. Klimov -- Hydrogen metabolism in microalgae / Anatoly A. Tsygankov, Azat Abdullatypov -- The structure and regulation of chloroplast ATP synthase / Alexander N. Malyan -- Structural and functional organization of the pigment-protein complexes of the photosystems in mutant cells of green algae and higher plants / Vladimir G. Ladygin -- Photosynthetic carbon metabolism : strategy of adaptation over evolutionary history / Irina R. Fomina, Karl Y. Biel - Document LIN Search class: ['bio'], ['che'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A880900717.jsonld

The palgrave handbook of global counterterrorism policy

"The Palgrave Handbook of Global Counterterrorism Policy examines a comprehensive range of counterterrorism policies, strategies, and practices across dozens of states and actors around the world. It covers the topics of terrorism and counterterrorism both thematically and by region, allowing for discussions about the underpinning dynamics of these fields, consideration of how terrorism and counterterrorism are evolving in the modern period, and in-depth analyses of individual states and non-state actors, and their approaches to countering terrorism and terrorist threats."--Back cover

[ "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The palgrave handbook of global counterterrorism policy - Document Abstract: "The Palgrave Handbook of Global Counterterrorism Policy examines a comprehensive range of counterterrorism policies, strategies, and practices across dozens of states and actors around the world. It covers the topics of terrorism and counterterrorism both thematically and by region, allowing for discussions about the underpinning dynamics of these fields, consideration of how terrorism and counterterrorism are evolving in the modern period, and in-depth analyses of individual states and non-state actors, and their approaches to countering terrorism and terrorist threats."--Back cover - Document LIN Search class: ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1649000626.jsonld

High-Grade Gliomas : Diagnosis and Treatment

Leaders in the field provide the latest information on the diagnosis and management of high-grade gliomas in this new groundbreaking text. The entire spectrum of issues pertaining to high-grade gliomas is covered, from the basics of clinical characteristics and management to the state-of-the-art in diagnosis and therapeutics. Forefront areas of clinical investigation are also covered with the promise of leading us to the treatments of tomorrow. The authors evaluate the latest molecular diagnostic techniques and their use with current histology. They later explore the most current imaging techniques for the diagnosis and monitoring of treatment, as well as the latest treatment strategies including surgery, radiation, and cytotoxic chemotherapy. All physicians treating brain tumors including neurosurgeons, neurologists and radiation oncologists will benefit from the coverage herein of the meaningful advances in our understanding of the biology of high-grade gliomas that are now leading to better, more rational, patient-specific treatments. Written for:Neurosurgeons, Radiation Oncologists, Radiobiologists, Medical Physicists, Medical Oncologists, Neuropathologists

[ "['rest']", "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: High-Grade Gliomas : Diagnosis and Treatment - Document Abstract: Leaders in the field provide the latest information on the diagnosis and management of high-grade gliomas in this new groundbreaking text. The entire spectrum of issues pertaining to high-grade gliomas is covered, from the basics of clinical characteristics and management to the state-of-the-art in diagnosis and therapeutics. Forefront areas of clinical investigation are also covered with the promise of leading us to the treatments of tomorrow. The authors evaluate the latest molecular diagnostic techniques and their use with current histology. They later explore the most current imaging techniques for the diagnosis and monitoring of treatment, as well as the latest treatment strategies including surgery, radiation, and cytotoxic chemotherapy. All physicians treating brain tumors including neurosurgeons, neurologists and radiation oncologists will benefit from the coverage herein of the meaningful advances in our understanding of the biology of high-grade gliomas that are now leading to better, more rational, patient-specific treatments. Written for:Neurosurgeons, Radiation Oncologists, Radiobiologists, Medical Physicists, Medical Oncologists, Neuropathologists - Document LIN Search class: ['rest'], ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1614654107.jsonld

Godwired : religion, ritual and virtual reality

Godwired offers an engaging exploration of religious practice in the digital age. It considers how virtual experiences, like stories, games and rituals, are forms of world-building or "cosmos construction" that serve as a means of making sense of our own world. Such creative and interactive activity is, arguably, patently religious. This book examines: the nature of sacred space in virtual contexts; technology as a vehicle for sacred texts; who we are when we go online; what rituals have in common with games and how they work online; what happens to community when people worship online; how religious "worlds" and virtual "worlds" nurture similar desires. Rachel Wagner suggests that whilst our engagement with virtual reality can be viewed as a form of religious activity, today's virtual religion marks a radical departure from traditional religious practice -- it is ephemeral, transient, rapid, disposable, hyper-individualized, hybrid, and in an ongoing state of flux. - Publisher

[ "['rel']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Godwired : religion, ritual and virtual reality - Document Abstract: Godwired offers an engaging exploration of religious practice in the digital age. It considers how virtual experiences, like stories, games and rituals, are forms of world-building or "cosmos construction" that serve as a means of making sense of our own world. Such creative and interactive activity is, arguably, patently religious. This book examines: the nature of sacred space in virtual contexts; technology as a vehicle for sacred texts; who we are when we go online; what rituals have in common with games and how they work online; what happens to community when people worship online; how religious "worlds" and virtual "worlds" nurture similar desires. Rachel Wagner suggests that whilst our engagement with virtual reality can be viewed as a form of religious activity, today's virtual religion marks a radical departure from traditional religious practice -- it is ephemeral, transient, rapid, disposable, hyper-individualized, hybrid, and in an ongoing state of flux. - Publisher - Document LIN Search class: ['rel'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1848597983.jsonld

The Cambridge companion to Byron

"Deeply informed and appealingly written, this revised and updated second edition gives fresh life to the enthralling sexual, poetic and political contradictions that make Byron the first literary celebrity. An authoritative source for students, this companion also points to emerging new areas of research"--

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Cambridge companion to Byron - Document Abstract: "Deeply informed and appealingly written, this revised and updated second edition gives fresh life to the enthralling sexual, poetic and political contradictions that make Byron the first literary celebrity. An authoritative source for students, this companion also points to emerging new areas of research"-- - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655413392.jsonld

Sphere Packings

Sphere Packings is one of the most attractive and challenging subjects in mathematics. Almost 4 centuries ago, Kepler studied the densities of sphere packings and made his famous conjecture. In the course of centuries, many exciting results have been obtained, ingenious methods created, related challenging problems proposed, and many surprising connections with othe subjects found. Thus, though some of its original problems are still open, sphere packings has been developed into an important discipline. This book tries to give a full account of this fascinating subject, especially its local aspects, discrete aspects and its proof methods. The Gregory-Newton Problem and Kepler’s Conjecture -- Positive Definite Quadratic Forms and Lattice Sphere Packings -- Lower Bounds for the Packing Densities of Spheres -- Lower Bounds for the Blocking Numbers and the Kissing Numbers of Spheres -- Sphere Packings Constructed from Codes -- Upper Bounds for the Packing Densities and the Kissing Numbers of Spheres I -- Upper Bounds for the Packing Densities and the Kissing Numbers of Spheres II -- Upper Bounds for the Packing Densities and the Kissing Numbers of Spheres III -- The Kissing Numbers of Spheres in Eight and Twenty-Four Dimensions -- Multiple Sphere Packings -- Holes in Sphere Packings -- Problems of Blocking Light Rays -- Finite Sphere Packings.

[ "['mat']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Sphere Packings - Document Abstract: Sphere Packings is one of the most attractive and challenging subjects in mathematics. Almost 4 centuries ago, Kepler studied the densities of sphere packings and made his famous conjecture. In the course of centuries, many exciting results have been obtained, ingenious methods created, related challenging problems proposed, and many surprising connections with othe subjects found. Thus, though some of its original problems are still open, sphere packings has been developed into an important discipline. This book tries to give a full account of this fascinating subject, especially its local aspects, discrete aspects and its proof methods. The Gregory-Newton Problem and Kepler’s Conjecture -- Positive Definite Quadratic Forms and Lattice Sphere Packings -- Lower Bounds for the Packing Densities of Spheres -- Lower Bounds for the Blocking Numbers and the Kissing Numbers of Spheres -- Sphere Packings Constructed from Codes -- Upper Bounds for the Packing Densities and the Kissing Numbers of Spheres I -- Upper Bounds for the Packing Densities and the Kissing Numbers of Spheres II -- Upper Bounds for the Packing Densities and the Kissing Numbers of Spheres III -- The Kissing Numbers of Spheres in Eight and Twenty-Four Dimensions -- Multiple Sphere Packings -- Holes in Sphere Packings -- Problems of Blocking Light Rays -- Finite Sphere Packings. - Document LIN Search class: ['mat'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A230140823.jsonld

Essentials of services marketing

Overview of services marketing: Introduction to services; Fundamental differences between goods and services; Overview of the services sector; Consumer decision process issues in services marketing; Ethical issues in services marketing -- Service strategy, managing the service experience: Service delivery process; Pricing of services; Developing the service communication mix; Managing the firm's physical evidence; People issues, managing employees and customers -- Assessing and improving service delivery: Defining and measuring customer satisfaction; Defining and measuring service quality; Service failures and recovery strategies; Customer retention; Putting the pieces together, creating the seamless service firm -- Cases The primary objective of [this book] is to provide instructional materials that not only introduce the student to the field of services marketing but also acquaint the student with specific customer service issues.... The [book first] concentrates on defining services marketing and providing the basic concepts that differentiate the marketing of services from the marketing of tangibles.... [It then discusses] topics that concern the management of the service encounter.... [The book also] focuses on customer satisfaction and service quality issues. Methods for tracking service failures and employee recovery efforts as well as customer retention strategies are also presented.... [The book concludes with] nine cases that illustrate the topics discussed throughout the book. -Pref

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Essentials of services marketing - Document Abstract: Overview of services marketing: Introduction to services; Fundamental differences between goods and services; Overview of the services sector; Consumer decision process issues in services marketing; Ethical issues in services marketing -- Service strategy, managing the service experience: Service delivery process; Pricing of services; Developing the service communication mix; Managing the firm's physical evidence; People issues, managing employees and customers -- Assessing and improving service delivery: Defining and measuring customer satisfaction; Defining and measuring service quality; Service failures and recovery strategies; Customer retention; Putting the pieces together, creating the seamless service firm -- Cases The primary objective of [this book] is to provide instructional materials that not only introduce the student to the field of services marketing but also acquaint the student with specific customer service issues.... The [book first] concentrates on defining services marketing and providing the basic concepts that differentiate the marketing of services from the marketing of tangibles.... [It then discusses] topics that concern the management of the service encounter.... [The book also] focuses on customer satisfaction and service quality issues. Methods for tracking service failures and employee recovery efforts as well as customer retention strategies are also presented.... [The book concludes with] nine cases that illustrate the topics discussed throughout the book. -Pref - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655421883.jsonld

Differential Equations and Their Applications : An Introduction to Applied Mathematics

For the past several years the Division of Applied Mathematics at Brown University has been teaching an extremely popular sophomore level differential equations course. The immense success of this course is due primarily to two fac tors. First, and foremost, the material is presented in a manner which is rigorous enough for our mathematics and ap plied mathematics majors, but yet intuitive and practical enough for our engineering, biology, economics, physics and geology majors. Secondly, numerous case histories are given of how researchers have used differential equations to solve real life problems. This book is the outgrowth of this course. It is a rigorous treatment of differential equations and their appli cations, and can be understood by anyone who has had a two semester course in Calculus. It contains all the material usually covered in a one or two semester course in differen tial equations. In addition, it possesses the following unique features which distinguish it from other textbooks on differential equations. 1. First Order Differential Equations -- 2. Second Order Linear Differential Equations -- 3. Systems of First Order Equations -- 4. Qualitative Theory of Differential Equations -- 5. Separation of Variables and Fourier Series -- Appendices -- A. Some simple facts concerning functions of several variables -- B. Sequences and series -- C. Introduction to APL.

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Differential Equations and Their Applications : An Introduction to Applied Mathematics - Document Abstract: For the past several years the Division of Applied Mathematics at Brown University has been teaching an extremely popular sophomore level differential equations course. The immense success of this course is due primarily to two fac tors. First, and foremost, the material is presented in a manner which is rigorous enough for our mathematics and ap plied mathematics majors, but yet intuitive and practical enough for our engineering, biology, economics, physics and geology majors. Secondly, numerous case histories are given of how researchers have used differential equations to solve real life problems. This book is the outgrowth of this course. It is a rigorous treatment of differential equations and their appli cations, and can be understood by anyone who has had a two semester course in Calculus. It contains all the material usually covered in a one or two semester course in differen tial equations. In addition, it possesses the following unique features which distinguish it from other textbooks on differential equations. 1. First Order Differential Equations -- 2. Second Order Linear Differential Equations -- 3. Systems of First Order Equations -- 4. Qualitative Theory of Differential Equations -- 5. Separation of Variables and Fourier Series -- Appendices -- A. Some simple facts concerning functions of several variables -- B. Sequences and series -- C. Introduction to APL. - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1066671915.jsonld

Aspirations, education, and social justice : applying Sen and Bourdieu

"Caroline Hart presents a radical new paradigm for thinking about the role of education in the development of human flourishing. The book applies Amartya Sen's capability approach to understanding the nature of aspirations in the policy context of strategies to widen participation in higher education. Sen's work is synthesised with key concepts from Pierre Bourdieu to develop a framework for understanding the processes through which young people are enabled and disabled in relation to developing and achieving their aspirations. Drawing on an empirical study involving 600 young people aged 17-19 in their final years of education, this text explores the hopes and dreams of these young people for the future. The young people's voices challenge dominant discourses of aspiration, well-being and advantage, and invite readers to rethink their own positions on these issues"-- "Highlights and explores key challenges for society in the light of new findings on the nature of aspirations and personal development"-- Introduction -- Education Policy Issues -- Sen's Capability Approach -- Blending Sen and Bourdieu -- Evolving Theory into Method -- The Nature of Aspirations -- The Genesis of Capabilities -- Aspirations, Capabilities and Choice -- The Promise of Higher Education -- The New Pursuit of Justice -- Bibliography -- Index

[ "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Aspirations, education, and social justice : applying Sen and Bourdieu - Document Abstract: "Caroline Hart presents a radical new paradigm for thinking about the role of education in the development of human flourishing. The book applies Amartya Sen's capability approach to understanding the nature of aspirations in the policy context of strategies to widen participation in higher education. Sen's work is synthesised with key concepts from Pierre Bourdieu to develop a framework for understanding the processes through which young people are enabled and disabled in relation to developing and achieving their aspirations. Drawing on an empirical study involving 600 young people aged 17-19 in their final years of education, this text explores the hopes and dreams of these young people for the future. The young people's voices challenge dominant discourses of aspiration, well-being and advantage, and invite readers to rethink their own positions on these issues"-- "Highlights and explores key challenges for society in the light of new findings on the nature of aspirations and personal development"-- Introduction -- Education Policy Issues -- Sen's Capability Approach -- Blending Sen and Bourdieu -- Evolving Theory into Method -- The Nature of Aspirations -- The Genesis of Capabilities -- Aspirations, Capabilities and Choice -- The Promise of Higher Education -- The New Pursuit of Justice -- Bibliography -- Index - Document LIN Search class: ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A881112259.jsonld

Slave owners of West Africa : decision making in the age of abolition

Amegashie Afeku of Keta: priest, political advisor, businessman, slave owner -- Nyaho Tamakloe of Anlo: of chieftaincy and slavery, of politics and the personal -- Noah Yawo of Ho-Kpenoe: the faith journey of a slave owner

[ "['his']", "['sow']", "['rel']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Slave owners of West Africa : decision making in the age of abolition - Document Abstract: Amegashie Afeku of Keta: priest, political advisor, businessman, slave owner -- Nyaho Tamakloe of Anlo: of chieftaincy and slavery, of politics and the personal -- Noah Yawo of Ho-Kpenoe: the faith journey of a slave owner - Document LIN Search class: ['his'], ['sow'], ['rel'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1664116575.jsonld

Multi-dimensional analysis : research methods and current issues

Introduction / Tony Berber Sardinha and Marcia Veirano Pinto -- Part I. Understanding the principles: Origins of the method, corpus design and annotation: -- Multi-dimensional analysis: a historical synopsis / Douglas Biber -- 2. Corpus design and representativeness / Jesse Egbert -- 3. Tagging and counting linguistic features for Multi-Dimensional Analysis / Bethany Gray -- 4. The Multi-dimensional Analysis Tagger / Andrea Nini -- Part II. Conducting an MD analysis: Quantitative and qualitative aspects: 5. Multivariate statistics commonly used in multi-dimensional analysis / Pascual Cantos Gómez -- 6. Doing multi-dimensional analysis in SPSS, SAS and R / Jesse Egbert and Shelley Staples -- 7. From factors to dimensions: Interpreting linguistic co-occurrence patterns / Eric Friginal and Jack Hardy -- 8. Adding registers to a previous multi-dimensional analysis / Marcia Veirano Pinto, Tony Berber Sardinha, Cristina Mayer, Maria Carolina Zuppardi, Carlos Henrique Kauffmann -- Part III. Exploring the method: 9. Examining lexical and cohesion differences in discipline specific writing using MDA / Scott A. Crossley, Kristopher Kyle and Ute Römer -- 10. Using Discriminate Function Analysis in multi-dimensional analysis / Marcia Veirano Pinto -- 11. Using multidimensional analysis to detect representations of national identity / Tony Berber Sardinha -- Bibliography -- Index.

[ "['sow']", "['lin']", "['mat']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Multi-dimensional analysis : research methods and current issues - Document Abstract: Introduction / Tony Berber Sardinha and Marcia Veirano Pinto -- Part I. Understanding the principles: Origins of the method, corpus design and annotation: -- Multi-dimensional analysis: a historical synopsis / Douglas Biber -- 2. Corpus design and representativeness / Jesse Egbert -- 3. Tagging and counting linguistic features for Multi-Dimensional Analysis / Bethany Gray -- 4. The Multi-dimensional Analysis Tagger / Andrea Nini -- Part II. Conducting an MD analysis: Quantitative and qualitative aspects: 5. Multivariate statistics commonly used in multi-dimensional analysis / Pascual Cantos Gómez -- 6. Doing multi-dimensional analysis in SPSS, SAS and R / Jesse Egbert and Shelley Staples -- 7. From factors to dimensions: Interpreting linguistic co-occurrence patterns / Eric Friginal and Jack Hardy -- 8. Adding registers to a previous multi-dimensional analysis / Marcia Veirano Pinto, Tony Berber Sardinha, Cristina Mayer, Maria Carolina Zuppardi, Carlos Henrique Kauffmann -- Part III. Exploring the method: 9. Examining lexical and cohesion differences in discipline specific writing using MDA / Scott A. Crossley, Kristopher Kyle and Ute Römer -- 10. Using Discriminate Function Analysis in multi-dimensional analysis / Marcia Veirano Pinto -- 11. Using multidimensional analysis to detect representations of national identity / Tony Berber Sardinha -- Bibliography -- Index. - Document LIN Search class: ['sow'], ['lin'], ['mat'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1023432447.jsonld

The political economy of professional sport

Introduction -- 1. The economic history of professional sport -- 2. Significance and measurement of the economic impact of professional sport -- 3. Economic development and sporting performance on a worldwide scale -- 4. What is at stake in the new economic relationships between professional sport and television? -- 5. The segmentation of the sports labour market : three examples -- 6. Models of organization of professional sport and competitive balance -- 7. The false justification of sport as a global public good -- 8. Doping as a by-product of professional sport This timely book offers a critical interpretation of the traditional social and economic accounts of sport. It provides an incisive analysis of professional sport and defines alternative foundations to the present model. The authors demonstrate that professional sport is an extremely complex phenomenon encompassing many unique factors depending on its global reach, financing and organization

[ "['spo']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The political economy of professional sport - Document Abstract: Introduction -- 1. The economic history of professional sport -- 2. Significance and measurement of the economic impact of professional sport -- 3. Economic development and sporting performance on a worldwide scale -- 4. What is at stake in the new economic relationships between professional sport and television? -- 5. The segmentation of the sports labour market : three examples -- 6. Models of organization of professional sport and competitive balance -- 7. The false justification of sport as a global public good -- 8. Doping as a by-product of professional sport This timely book offers a critical interpretation of the traditional social and economic accounts of sport. It provides an incisive analysis of professional sport and defines alternative foundations to the present model. The authors demonstrate that professional sport is an extremely complex phenomenon encompassing many unique factors depending on its global reach, financing and organization - Document LIN Search class: ['spo'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A181000067X.jsonld

A journey through the history of numerical linear algebra

"The book describes numerical methods proposed for solving problems in linear algebra from antiquity to the present. Focusing on methods for solving linear systems of equations and eigenvalue problems, the book also describes the interplay between numerical methods and the computing tools available for solving these problems. Biographies of the main contributors to the field are included"--

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: A journey through the history of numerical linear algebra - Document Abstract: "The book describes numerical methods proposed for solving problems in linear algebra from antiquity to the present. Focusing on methods for solving linear systems of equations and eigenvalue problems, the book also describes the interplay between numerical methods and the computing tools available for solving these problems. Biographies of the main contributors to the field are included"-- - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A744100917.jsonld

Sustainable bioenergy production : an integrated approach

This book focuses primarily on the advantages and implications of sustainable bioenergy production in terms of ensuring a more sustainable world despite its growing energy demands

[ "['mas']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Sustainable bioenergy production : an integrated approach - Document Abstract: This book focuses primarily on the advantages and implications of sustainable bioenergy production in terms of ensuring a more sustainable world despite its growing energy demands - Document LIN Search class: ['mas'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1837180636.jsonld

Relativistic quantum invariance

This book describes the invariant nature of the relativistic quantum field theories utilizing the idea of interpolating the instant form dynamics and the light-front dynamics. While the light-front dynamics (LFD) based on the light-front time was proposed by Dirac in 1949, there has not yet been a salient review on the connection between the LFD and the instant form dynamics (IFD) based on the ordinary time. By reviewing the connection between LFD and IFD using the idea of interpolating the two different forms of the relativistic dynamics, one can learn the distinguished features of each form and how one may utilize those distinguished features in solving the complicated relativistic quantum field theoretic problems more effectively. With the ongoing 12-GeV Jefferson Lab experiments, the internal structures of the nucleon and nuclei are vigorously investigated in particular using the physical observables defined in the LFD rather than in the IFD. This book offers a clear demonstration on why and how the LFD is more advantageous than the IFD for the study of hadron physics, illustrating the differences and similarities between these two distinguished forms of the dynamics. It aims at presenting the basic first-hand knowledge of the relativistic quantum field theories, describing why and how the different forms of dynamics (e.g., IFD and LFD) can emerge in them, connecting the IFD and the LFD using the idea of the interpolation, and demonstrating explicit examples of the interpolation in quantum electrodynamics and other field theories. While the level of presentation is planned mainly for the advanced undergraduate students and the beginning graduate students, the topics of the interpolation between the IFD and the LFD are innovative enough for even the experts in the field to appreciate its usefulness.

[ "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Relativistic quantum invariance - Document Abstract: This book describes the invariant nature of the relativistic quantum field theories utilizing the idea of interpolating the instant form dynamics and the light-front dynamics. While the light-front dynamics (LFD) based on the light-front time was proposed by Dirac in 1949, there has not yet been a salient review on the connection between the LFD and the instant form dynamics (IFD) based on the ordinary time. By reviewing the connection between LFD and IFD using the idea of interpolating the two different forms of the relativistic dynamics, one can learn the distinguished features of each form and how one may utilize those distinguished features in solving the complicated relativistic quantum field theoretic problems more effectively. With the ongoing 12-GeV Jefferson Lab experiments, the internal structures of the nucleon and nuclei are vigorously investigated in particular using the physical observables defined in the LFD rather than in the IFD. This book offers a clear demonstration on why and how the LFD is more advantageous than the IFD for the study of hadron physics, illustrating the differences and similarities between these two distinguished forms of the dynamics. It aims at presenting the basic first-hand knowledge of the relativistic quantum field theories, describing why and how the different forms of dynamics (e.g., IFD and LFD) can emerge in them, connecting the IFD and the LFD using the idea of the interpolation, and demonstrating explicit examples of the interpolation in quantum electrodynamics and other field theories. While the level of presentation is planned mainly for the advanced undergraduate students and the beginning graduate students, the topics of the interpolation between the IFD and the LFD are innovative enough for even the experts in the field to appreciate its usefulness. - Document LIN Search class: ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655482637.jsonld

Generalized Inverses : Theory and Applications

Preliminaries -- Existence and Construction of Generalized Inverses -- Linear Systems and Characterization of Generalized Inverses -- Minimal Properties of Generalized Inverses -- Spectral Generalized Inverses -- Generalized Inverses of Partitioned Matrices -- A Spectral Theory for Rectangular Matrices -- Computational Aspects of Generalized Inverses -- Miscellaneous Applications -- Generalized Inverses of Linear Operators between Hilbert Spaces. The field of generalized inverses has grown much since the appearance of the first edition in 1974, and is still growing. This book accounts for these developments while maintaining the informal and leisurely style of the first edition. New material has been added, including many theoretical results, computational methods, applications, examples and exercises, and an appendix on the work of E.H. Moore. Adi Ben-Israel is Professor of Operations Research, Business and Mathematics at Rutgers University, New Brunswick, NJ. Previously he was Professor of Applied Mathematics at the University of Delaware, Northwestern University, and the Technion-Israel Institute of Technology. The late Thomas N.E. Greville was Professor of Mathematics, and a member of the US Army Mathematics Research Center at the University of Wisconsin, Madison, WI. The authors contributed to the theory, computation and applications of generalized inverses, and did much to popularize the field in the first edition.

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Generalized Inverses : Theory and Applications - Document Abstract: Preliminaries -- Existence and Construction of Generalized Inverses -- Linear Systems and Characterization of Generalized Inverses -- Minimal Properties of Generalized Inverses -- Spectral Generalized Inverses -- Generalized Inverses of Partitioned Matrices -- A Spectral Theory for Rectangular Matrices -- Computational Aspects of Generalized Inverses -- Miscellaneous Applications -- Generalized Inverses of Linear Operators between Hilbert Spaces. The field of generalized inverses has grown much since the appearance of the first edition in 1974, and is still growing. This book accounts for these developments while maintaining the informal and leisurely style of the first edition. New material has been added, including many theoretical results, computational methods, applications, examples and exercises, and an appendix on the work of E.H. Moore. Adi Ben-Israel is Professor of Operations Research, Business and Mathematics at Rutgers University, New Brunswick, NJ. Previously he was Professor of Applied Mathematics at the University of Delaware, Northwestern University, and the Technion-Israel Institute of Technology. The late Thomas N.E. Greville was Professor of Mathematics, and a member of the US Army Mathematics Research Center at the University of Wisconsin, Madison, WI. The authors contributed to the theory, computation and applications of generalized inverses, and did much to popularize the field in the first edition. - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1752989368.jsonld

On practice and institution : new empirical directions

The concepts of practice and institution are of longstanding importance across the social sciences. This double-volume builds directly on the scholarship of Theodore Schatzki and Roger Friedland, to map out new theoretical and empirical directions at the interface between the practice and institutional "logics" literatures in organizational sociology, bridging the two perspectives. Volume 71 of Research in the Sociology of Organizations highlights a multitude of empirical directions suggesting particularly intriguing focal points for the emergent research agenda. The enclosed chapters grapple with issues related to the relationship of the symbolic and material aspects of culture and draw on a variety of empirical contexts (e.g. Islamic banking, Chinese manufacturing, and social innovation) to suggest different ways in which we might study social change at the interface of practice and institution.

[ "['oek']", "['sow']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: On practice and institution : new empirical directions - Document Abstract: The concepts of practice and institution are of longstanding importance across the social sciences. This double-volume builds directly on the scholarship of Theodore Schatzki and Roger Friedland, to map out new theoretical and empirical directions at the interface between the practice and institutional "logics" literatures in organizational sociology, bridging the two perspectives. Volume 71 of Research in the Sociology of Organizations highlights a multitude of empirical directions suggesting particularly intriguing focal points for the emergent research agenda. The enclosed chapters grapple with issues related to the relationship of the symbolic and material aspects of culture and draw on a variety of empirical contexts (e.g. Islamic banking, Chinese manufacturing, and social innovation) to suggest different ways in which we might study social change at the interface of practice and institution. - Document LIN Search class: ['oek'], ['sow'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1481029568.jsonld

Characterisation of ferroelectric bulk materials and thin films

"In this book we are publishing, for the first time, a selection of NPL's Materials Measurement Good Practice guides and practically written reviews for the measurement of a large number of the important multifunctional parameters for a range of materials including ferroelectric bulk and thin films, piezoelectric actuators and sensors, pyroelectric devices and electrostrictive materials."--preface

[ "['tec']", "['phy']", "['fer']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Characterisation of ferroelectric bulk materials and thin films - Document Abstract: "In this book we are publishing, for the first time, a selection of NPL's Materials Measurement Good Practice guides and practically written reviews for the measurement of a large number of the important multifunctional parameters for a range of materials including ferroelectric bulk and thin films, piezoelectric actuators and sensors, pyroelectric devices and electrostrictive materials."--preface - Document LIN Search class: ['tec'], ['phy'], ['fer'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A89509262X.jsonld

Bilingualism : a framework for understanding the mental lexicon

In the world today, bilingualism is more common than monolingualism. Thus, the default mental lexicon may in fact be the bilingual lexicon. More than ever, social and technological innovation have created a situation in which lexical knowledge may change dramatically throughout an individual's lifetime. This book offers a new perspective for the understanding of these phenomena and their consequences for the representation of words in the mind and brain. Contributing authors are leaders in the field who provide a re-analysis of key assumptions and a re-focusing of research. They bring new insights and new findings that advance the understanding of both bilingualism and the mental lexicon

[ "['lin']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Bilingualism : a framework for understanding the mental lexicon - Document Abstract: In the world today, bilingualism is more common than monolingualism. Thus, the default mental lexicon may in fact be the bilingual lexicon. More than ever, social and technological innovation have created a situation in which lexical knowledge may change dramatically throughout an individual's lifetime. This book offers a new perspective for the understanding of these phenomena and their consequences for the representation of words in the mind and brain. Contributing authors are leaders in the field who provide a re-analysis of key assumptions and a re-focusing of research. They bring new insights and new findings that advance the understanding of both bilingualism and the mental lexicon - Document LIN Search class: ['lin'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A185372058.jsonld

On security

On security / Ronnie D. Lipschutz. -- The value of security: Hobbes, Marx, Nietsche, and Baudrillard / James Der Derian. -- Securitization and desecuritization / Ole Waever. -- Political fission: State structure, civil society, and nuclear weapons in the United States / Daniel Deudney. -- Grassroots statecraft and citizens' challenges to U.S. National security policy / Pearl-Alice Marsh. -- Hawks, doves, but no owls: International economic interdependence and construction of the new security dilemma / Beverly Crawford. -- Security, the state, the "New World Order" and beyond / Barry Buzan. -- Negotiating the boundaries of difference and security at millennium's end / Ronnie D. Lipschutz

[ "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: On security - Document Abstract: On security / Ronnie D. Lipschutz. -- The value of security: Hobbes, Marx, Nietsche, and Baudrillard / James Der Derian. -- Securitization and desecuritization / Ole Waever. -- Political fission: State structure, civil society, and nuclear weapons in the United States / Daniel Deudney. -- Grassroots statecraft and citizens' challenges to U.S. National security policy / Pearl-Alice Marsh. -- Hawks, doves, but no owls: International economic interdependence and construction of the new security dilemma / Beverly Crawford. -- Security, the state, the "New World Order" and beyond / Barry Buzan. -- Negotiating the boundaries of difference and security at millennium's end / Ronnie D. Lipschutz - Document LIN Search class: ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1647766788.jsonld

Ear Surgery

Based on 40 years experience, this book on ear surgery guides the beginner as well as the experienced surgeon through all approaches to middle ear and neurotologic surgery. The lavishly illustrated text covers basic pathology and physiology involved in the surgical treatment of otologic conditions such as otosclerosis, chronic otitis media, cholesteatoma, congenital atresia, facial nerve paralysis, vertigo, neoplasms and profound hearing loss. The book is accompanied by several DVDs with numerous edited and narrated videos on surgical procedures and unusual ear pathology. Based on 40 years experience, this book on ear surgery guides the beginner as well as the experienced surgeon through all approaches to middle ear and neurotologic sugery. The lavishly illustrated text covers basic pathology and physiology involved in the surgical treatment of otologic conditions such as otosclearosis, chronic otitis media, cholesteatoma, congenital atresia, facial nerve paralysis, vertigo, neoplasms and profound hearing loss. The book is accompanied by several DVDs with numerous edited and narrated videos on surgical procedures and unusual ear pathology

[ "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Ear Surgery - Document Abstract: Based on 40 years experience, this book on ear surgery guides the beginner as well as the experienced surgeon through all approaches to middle ear and neurotologic surgery. The lavishly illustrated text covers basic pathology and physiology involved in the surgical treatment of otologic conditions such as otosclerosis, chronic otitis media, cholesteatoma, congenital atresia, facial nerve paralysis, vertigo, neoplasms and profound hearing loss. The book is accompanied by several DVDs with numerous edited and narrated videos on surgical procedures and unusual ear pathology. Based on 40 years experience, this book on ear surgery guides the beginner as well as the experienced surgeon through all approaches to middle ear and neurotologic sugery. The lavishly illustrated text covers basic pathology and physiology involved in the surgical treatment of otologic conditions such as otosclearosis, chronic otitis media, cholesteatoma, congenital atresia, facial nerve paralysis, vertigo, neoplasms and profound hearing loss. The book is accompanied by several DVDs with numerous edited and narrated videos on surgical procedures and unusual ear pathology - Document LIN Search class: ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A657855111.jsonld

Essentials of LTE and LTE-A

"This practical, one-stop guide will quickly bring you up-to-speed on LTE and LTE-Advanced. With everything you need to know about the theory and technology behind the standards, this is a must-have for engineers and managers in the wireless industry. First book of its kind describing technologies and system performance of LTE-A. Covers the evolution of digital wireless technology, basics of LTE and LTE-A, design of downlink and uplink channels, multi-antenna techniques and heterogeneous networks. Analyzes performance benefits over competing technologies, including WiMAX and 802.16m"--

[ "['elt']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Essentials of LTE and LTE-A - Document Abstract: "This practical, one-stop guide will quickly bring you up-to-speed on LTE and LTE-Advanced. With everything you need to know about the theory and technology behind the standards, this is a must-have for engineers and managers in the wireless industry. First book of its kind describing technologies and system performance of LTE-A. Covers the evolution of digital wireless technology, basics of LTE and LTE-A, design of downlink and uplink channels, multi-antenna techniques and heterogeneous networks. Analyzes performance benefits over competing technologies, including WiMAX and 802.16m"-- - Document LIN Search class: ['elt'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1693562995.jsonld

The culture of cultivation : recovering the roots of landscape architecture

"By seeking to rediscover the profession's agricultural roots, this volume proposes a 21st-century shift in thinking about landscape architecture that is no longer driven by binary oppositions, such as urban and rural; past and present; aesthetics and ecology; and beautiful and productive, but rather prioritizes a holistic and cross-disciplinary framing. The illustrated collection of essays written by academics, researchers and experts in the field seeks to balance and redirect a current approach to landscape architecture that prioritizes a narrow definition of the regional in an effort to tackle questions of continuous urban growth and its impact on the environment. It argues that an emphasis on conurbation, which occurs at the expense of the rural, often ignores the reality that certain cultivation and management practices taking place on land set aside for production can be as harmful to the environment as is unchecked urbanization, contributing to loss of biodiverstiy, soil erosion and climate change. By contrast, the book argues that by expanding the expertise of design professionals to include the productive, food systems, soil conservation and the preservation of cultural landscapes, landscape architects would be better equipped to participate in the stewardship of our planet. Written primarily for landscape practitioners and academics, cultural and environmental historians and conservationists, The Culture of Cultivation will appeal to anyone interested in a radical rethinking of the role and agency of landscape architecture"--

[ "['hor']", "['cet']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The culture of cultivation : recovering the roots of landscape architecture - Document Abstract: "By seeking to rediscover the profession's agricultural roots, this volume proposes a 21st-century shift in thinking about landscape architecture that is no longer driven by binary oppositions, such as urban and rural; past and present; aesthetics and ecology; and beautiful and productive, but rather prioritizes a holistic and cross-disciplinary framing. The illustrated collection of essays written by academics, researchers and experts in the field seeks to balance and redirect a current approach to landscape architecture that prioritizes a narrow definition of the regional in an effort to tackle questions of continuous urban growth and its impact on the environment. It argues that an emphasis on conurbation, which occurs at the expense of the rural, often ignores the reality that certain cultivation and management practices taking place on land set aside for production can be as harmful to the environment as is unchecked urbanization, contributing to loss of biodiverstiy, soil erosion and climate change. By contrast, the book argues that by expanding the expertise of design professionals to include the productive, food systems, soil conservation and the preservation of cultural landscapes, landscape architects would be better equipped to participate in the stewardship of our planet. Written primarily for landscape practitioners and academics, cultural and environmental historians and conservationists, The Culture of Cultivation will appeal to anyone interested in a radical rethinking of the role and agency of landscape architecture"-- - Document LIN Search class: ['hor'], ['cet'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1880769077.jsonld

Leading Impactful Teams : Achieving Low-Stress Success in Project Management

When was the last time you felt stressed and exhausted at work? Chances are your answer to that question is "not too long ago". As the author realized from first-hand experience, even well-prepared, hard-working, intelligent people can feel the strain of project management. This book presents a comprehensive set of approaches, tips and techniques that enable you to make projects more effective, successful and enjoyable. Leading Impactful Teams is a lively exploration of the "lenses" of project management - Scope, Prioritisation, Time, Cost, Quality, Risks, Team and Stakeholders - that will enable the reader to develop a "sixth sense" for potential issues that could derail their project. Replete with over 50 imaginative illustrations to explain the insights and practices that are packed into every page, the stories and ideas in this book go way past the theories and bring the reality of projects to life. It will help you understand how to make your project a success and avoid unnecessary complications. This is a powerful book for anyone involved in project management, be it at work or outside of it. James Louttit shares his refreshing, engaging and human approach, to provide you with a practical toolkit to help you and your team deliver great project outcomes with minimum stress and maximum fun

[ "['oek']", "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Leading Impactful Teams : Achieving Low-Stress Success in Project Management - Document Abstract: When was the last time you felt stressed and exhausted at work? Chances are your answer to that question is "not too long ago". As the author realized from first-hand experience, even well-prepared, hard-working, intelligent people can feel the strain of project management. This book presents a comprehensive set of approaches, tips and techniques that enable you to make projects more effective, successful and enjoyable. Leading Impactful Teams is a lively exploration of the "lenses" of project management - Scope, Prioritisation, Time, Cost, Quality, Risks, Team and Stakeholders - that will enable the reader to develop a "sixth sense" for potential issues that could derail their project. Replete with over 50 imaginative illustrations to explain the insights and practices that are packed into every page, the stories and ideas in this book go way past the theories and bring the reality of projects to life. It will help you understand how to make your project a success and avoid unnecessary complications. This is a powerful book for anyone involved in project management, be it at work or outside of it. James Louttit shares his refreshing, engaging and human approach, to provide you with a practical toolkit to help you and your team deliver great project outcomes with minimum stress and maximum fun - Document LIN Search class: ['oek'], ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A372323790.jsonld

Hard work : remaking the American labor movement

Why labor matters: the underside of the "American model" -- An exceptionally hostile terrain -- Bureaucrats, "strongmen," militants, and intellectuals -- Practices and possibilities of social movement unionism

[ "['sow']", "['his']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Hard work : remaking the American labor movement - Document Abstract: Why labor matters: the underside of the "American model" -- An exceptionally hostile terrain -- Bureaucrats, "strongmen," militants, and intellectuals -- Practices and possibilities of social movement unionism - Document LIN Search class: ['sow'], ['his'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1651703035.jsonld

Grammatik multimodal : wie Wörter und Gesten zusammenwirken

We speak not only with our mouths, but also with our hands. And that is not all: this book advances the argument that the gestures which accompany speech are also part of the material to be considered in a grammatical description of German. Using exemplars from the field of syntax, the study demonstratesthat gestures can be typologised and semanticised, that constituent structures can be assigned to them which display the quality of recursivity, and that they can function as attributes in nominal groups in spoken language. Ellen Fricke, Europa-Universität Viadrina Frankfurt (Oder).

[ "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Grammatik multimodal : wie Wörter und Gesten zusammenwirken - Document Abstract: We speak not only with our mouths, but also with our hands. And that is not all: this book advances the argument that the gestures which accompany speech are also part of the material to be considered in a grammatical description of German. Using exemplars from the field of syntax, the study demonstratesthat gestures can be typologised and semanticised, that constituent structures can be assigned to them which display the quality of recursivity, and that they can function as attributes in nominal groups in spoken language. Ellen Fricke, Europa-Universität Viadrina Frankfurt (Oder). - Document LIN Search class: ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1026867576.jsonld

The continuing quest for missile defense : when lofty goals confront reality

This book provides an introduction to the complex story of missile defense, by recounting past successes and failures, describing the current systems in place, and exploring what may lie ahead. In the process, it will explain the technologies involved in attempting such a difficult task.

[ "['ver']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The continuing quest for missile defense : when lofty goals confront reality - Document Abstract: This book provides an introduction to the complex story of missile defense, by recounting past successes and failures, describing the current systems in place, and exploring what may lie ahead. In the process, it will explain the technologies involved in attempting such a difficult task. - Document LIN Search class: ['ver'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A086118099.jsonld

Russian women, 1698-1917 : experience and expression, an anthology of sources

Defining ideals -- Family life -- Sexuality -- Work and schooling -- Religion, piety, and spiritual life -- Opposition and activism; Geschichte 1698-1917

[ "['his']", "['rel']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Russian women, 1698-1917 : experience and expression, an anthology of sources - Document Abstract: Defining ideals -- Family life -- Sexuality -- Work and schooling -- Religion, piety, and spiritual life -- Opposition and activism; Geschichte 1698-1917 - Document LIN Search class: ['his'], ['rel'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A882252216.jsonld

Nova York 1990

Nova York, Abril 1990: un diari -- New York City, April 1990: a diary / English version by Lorraine Mealing & Gaspar Jaén i Urban

[ "['lit']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Nova York 1990 - Document Abstract: Nova York, Abril 1990: un diari -- New York City, April 1990: a diary / English version by Lorraine Mealing & Gaspar Jaén i Urban - Document LIN Search class: ['lit'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A59466439X.jsonld

Critiquing postmodernism in contemporary discourses of race

The ideological fantasy of Otherness postmodernism -- Theresa Hak Kyung Cha and the politics of form -- Not three worlds but one: Thomas Pynchon and the invisibility of race -- Analyzing the rreal: Bessie Head's literary psychosis

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Critiquing postmodernism in contemporary discourses of race - Document Abstract: The ideological fantasy of Otherness postmodernism -- Theresa Hak Kyung Cha and the politics of form -- Not three worlds but one: Thomas Pynchon and the invisibility of race -- Analyzing the rreal: Bessie Head's literary psychosis - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A187944111X.jsonld

Green taxes : economic theory and empirical evidence from Scandinavia

The prospect of simultaneously achieving a 'greener' environment, increased tax revenues and lower levels of unemployment has made ecological taxes an increasingly popular proposition. This volume examines the possibility of ecological tax reform in the Nordic countries of Denmark, Norway and Sweden. The potential for ecological tax reform is investigated on a theoretical and an empirical level. The social costs associated with environmental taxes are analysed and the impacts of a Swedish carbon tax are calculated by means of a static numerical model. Taxes on carbon, nitrogen and fertilisers are also examined. The authors find that the level of unemployment cannot be decreased by revenue neutral environmental taxes without any social costs and conclude that there are no easy ways to achieve full employment, a budget surplus and environmental sustainability. They conclude that further understanding of the functioning of the labour market, household decisions and the link between change in pollutant emissions and environmental damage is needed in order to make more concrete suggestions concerning ecological tax reforms. Green Taxes will be of immense use to academics and practitioners in the field of environmental economics

[ "['oek']", "['jur']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Green taxes : economic theory and empirical evidence from Scandinavia - Document Abstract: The prospect of simultaneously achieving a 'greener' environment, increased tax revenues and lower levels of unemployment has made ecological taxes an increasingly popular proposition. This volume examines the possibility of ecological tax reform in the Nordic countries of Denmark, Norway and Sweden. The potential for ecological tax reform is investigated on a theoretical and an empirical level. The social costs associated with environmental taxes are analysed and the impacts of a Swedish carbon tax are calculated by means of a static numerical model. Taxes on carbon, nitrogen and fertilisers are also examined. The authors find that the level of unemployment cannot be decreased by revenue neutral environmental taxes without any social costs and conclude that there are no easy ways to achieve full employment, a budget surplus and environmental sustainability. They conclude that further understanding of the functioning of the labour market, household decisions and the link between change in pollutant emissions and environmental damage is needed in order to make more concrete suggestions concerning ecological tax reforms. Green Taxes will be of immense use to academics and practitioners in the field of environmental economics - Document LIN Search class: ['oek'], ['jur'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A183070334X.jsonld

Advanced applications of Python data structures and algorithms

"Assist in understanding and applying the fundamentals of data structures and their many implementations. Data structures play a critical role in creating efficient applications. To improve one's ability to solve problems by utilizing proper data formats. Upon successful completion of reading this textbook, students will have gained the ability to: Recognize and use the most fundamental types of data structures and algorithms. Be familiar with the advantages and disadvantages of various data structures. Use the proper data structure in the given problem's solution context. Improve your ability to program to address a particular problem. To distinguish between programmers and non-programmers, it is necessary to know about Data Structures and Algorithms"--

[ "['inf']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Advanced applications of Python data structures and algorithms - Document Abstract: "Assist in understanding and applying the fundamentals of data structures and their many implementations. Data structures play a critical role in creating efficient applications. To improve one's ability to solve problems by utilizing proper data formats. Upon successful completion of reading this textbook, students will have gained the ability to: Recognize and use the most fundamental types of data structures and algorithms. Be familiar with the advantages and disadvantages of various data structures. Use the proper data structure in the given problem's solution context. Improve your ability to program to address a particular problem. To distinguish between programmers and non-programmers, it is necessary to know about Data Structures and Algorithms"-- - Document LIN Search class: ['inf'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1653976411.jsonld

Conductors, Semiconductors, Superconductors : An Introduction to Solid State Physics

Spectacular Advances -- Well-Ordered Lattice Structures in Crystals -- Permanent Movement in the Crystal Lattice -- Electric Conductor or Insulator? – Energy Bands -- Metals Obey the Rules of Quantum Statistics -- Less Can Be More: Semiconductors -- Circling Electrons in High Magnetic Fields -- The Winner: Superconductors -- The Big Surprise: High-Temperature Superconductivity -- Magnetism: Order Among the Elementary Magnets -- Nanostructures: Superlattices, Quantum Wires, and Quantum Dots -- Defects in the Crystal Lattice: Useful or Harmful?. This undergraduate textbook provides an introduction to the fundamentals of solid state physics, including a description of the key people in the field and the historic context. The book concentrates on the electric and magnetic properties of materials. It is written for students up to the bachelor level in the fields of physics, materials science, and electric engineering. Because of its vivid explanations and its didactic approach, it can also serve as a motivating pre-stage and supporting companion in the study of the established and more detailed textbooks of solid state physics. The textbook is suitable for a quick repetition prior to examinations. This second edition is extended considerably by detailed mathematical treatments in many chapters, as well as extensive coverage of magnetic impurities.

[ "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Conductors, Semiconductors, Superconductors : An Introduction to Solid State Physics - Document Abstract: Spectacular Advances -- Well-Ordered Lattice Structures in Crystals -- Permanent Movement in the Crystal Lattice -- Electric Conductor or Insulator? – Energy Bands -- Metals Obey the Rules of Quantum Statistics -- Less Can Be More: Semiconductors -- Circling Electrons in High Magnetic Fields -- The Winner: Superconductors -- The Big Surprise: High-Temperature Superconductivity -- Magnetism: Order Among the Elementary Magnets -- Nanostructures: Superlattices, Quantum Wires, and Quantum Dots -- Defects in the Crystal Lattice: Useful or Harmful?. This undergraduate textbook provides an introduction to the fundamentals of solid state physics, including a description of the key people in the field and the historic context. The book concentrates on the electric and magnetic properties of materials. It is written for students up to the bachelor level in the fields of physics, materials science, and electric engineering. Because of its vivid explanations and its didactic approach, it can also serve as a motivating pre-stage and supporting companion in the study of the established and more detailed textbooks of solid state physics. The textbook is suitable for a quick repetition prior to examinations. This second edition is extended considerably by detailed mathematical treatments in many chapters, as well as extensive coverage of magnetic impurities. - Document LIN Search class: ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1799305074.jsonld

5G and beyond : fundamentals and standards

This book provides an accessible and comprehensive tutorial on the key enabling technologies for 5G and beyond, covering both the fundamentals and the state-of-the-art 5G standards. The book begins with a historical overview of the evolution of cellular technologies and addresses the questions on why 5G and what is 5G. Following this, six tutorial chapters describe the fundamental technology components for 5G and beyond. These include modern advancements in channel coding, multiple access, massive multiple-input and multiple-output (MIMO), network densification, unmanned aerial vehicle enabled cellular networks, and 6G wireless systems. The second part of this book consists of five chapters that introduce the basics of 5G New Radio (NR) standards developed by 3GPP. These include 5G architecture, protocols, and physical layer aspects. The third part of this book provides an overview of the key 5G NR evolution directions. These directions include ultra-reliable low-latency communication (URLLC) enhancements, operation in unlicensed spectrum, positioning, integrated access and backhaul, air-to-ground communication, and non-terrestrial networks with satellite communication.

[ "['elt']", "['inf']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: 5G and beyond : fundamentals and standards - Document Abstract: This book provides an accessible and comprehensive tutorial on the key enabling technologies for 5G and beyond, covering both the fundamentals and the state-of-the-art 5G standards. The book begins with a historical overview of the evolution of cellular technologies and addresses the questions on why 5G and what is 5G. Following this, six tutorial chapters describe the fundamental technology components for 5G and beyond. These include modern advancements in channel coding, multiple access, massive multiple-input and multiple-output (MIMO), network densification, unmanned aerial vehicle enabled cellular networks, and 6G wireless systems. The second part of this book consists of five chapters that introduce the basics of 5G New Radio (NR) standards developed by 3GPP. These include 5G architecture, protocols, and physical layer aspects. The third part of this book provides an overview of the key 5G NR evolution directions. These directions include ultra-reliable low-latency communication (URLLC) enhancements, operation in unlicensed spectrum, positioning, integrated access and backhaul, air-to-ground communication, and non-terrestrial networks with satellite communication. - Document LIN Search class: ['elt'], ['inf'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>