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2408.00142v2
Machine Learning Boosted Entropy-Engineered Synthesis of stable Nanometric Solid Solution CuCo Alloys for Efficient Nitrate Reduction to Ammonia
Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis of these alloys becomes increasingly challenging as the disparity between the metal elements grows, due to differences in atomic sizes, melting points, and chemical affinities. This study utilized a data-driven approach incorporating sample balancing enhancement techniques and multilayer perceptron (MLP) algorithms to improve the model's ability to handle imbalanced data, significantly boosting the efficiency of experimental parameter optimization. Building on this enhanced data processing framework, we developed an entropy-engineered synthesis approach specifically designed to produce stable, nanometric copper and cobalt (CuCo) solid solution alloys. Under conditions of -0.425 V (vs. RHE), the CuCo alloy exhibited nearly 100% Faraday efficiency (FE) and a high ammonia production rate of 232.17 mg h-1 mg-1. Stability tests in a simulated industrial environment showed that the catalyst maintained over 80% FE and an ammonia production rate exceeding 170 mg h-1 mg-1 over a testing period of 120 hours, outperforming most reported catalysts. To delve deeper into the synergistic interaction mechanisms between Cu and Co, in situ Raman spectroscopy was utilized for realtime monitoring, and density functional theory (DFT) calculations further substantiated our findings. These results not only highlight the exceptional catalytic performance of the CuCo alloy but also reflect the effective electronic and energy interactions between the two metals.
Materials Science (cond-mat.mtrl-sci)
We found some mistakes and revisions are needed. It will take a long time
incomplete exposition or more work in progress
14,228
2408.00226v2
Shadow of a Renormalization Group Improved Regular Rotating Black Hole
We present a study on quantum gravity effects on the shadow of a regular rotating black hole (BH) obtained in the setting of the asymptotic safety (AS) gravity. We show that the rotating metric, which results from a static regular one recently presented in the literature, remains regular after being constructed using the generalized Newman-Janis (NJ) algorithm.. The novelty of the static regular metric lies in the fact that it is the outcome of an effective Lagrangian which describes dust whose spherically symmetric collapse is non-singular as a consequence of the antiscreening character of gravity at small distances. The effective Lagrangian includes a multiplicative coupling, denoted as chi, with the Lagrangian of the collapsing fluid. The resulting exterior metric for large radii depends on a free parameter xi which captures the quantum gravity effects. The form of the coupling chi and its connection with the quantum parameter xi are determined by the running of the Newton coupling G(k) along a renormalization group trajectory that stops at the ultraviolet (UV) non-gaussian fixed point of the AS theory. Varying both the spin parameter a/M and the quantum parameter xi, we explore the quantum gravity effects on several astronomical observables used to describe the shadow features of rotating BHs. In order to obtain constraints on the parameter xi, we confront our results with the recent EHT observations of the shadows of the supermassive BHs M87 and Sgr A. We find that the ranges of variation of all the studied shadow observables fall entirely within the ranges determined by the EHT collaboration. We then conclude that the current astronomical data do not rule out the renormalization group improved regular rotating BH.
General Relativity and Quantum Cosmology (gr-qc)
This paper has been withdrawn due to an algebraic error which led to the wrong conclusion that the rotating BH is regular
factual/methodological/other critical errors in manuscript
14,229
2408.00612v2
Downstream bias mitigation is all you need
The advent of transformer-based architectures and large language models (LLMs) have significantly advanced the performance of natural language processing (NLP) models. Since these LLMs are trained on huge corpuses of data from the web and other sources, there has been a major concern about harmful prejudices that may potentially be transferred from the data. In many applications, these pre-trained LLMs are fine-tuned on task specific datasets, which can further contribute to biases. This paper studies the extent of biases absorbed by LLMs during pre-training as well as task-specific behaviour after fine-tuning. We found that controlled interventions on pre-trained LLMs, prior to fine-tuning, have minimal effect on lowering biases in classifiers. However, the biases present in domain-specific datasets play a much bigger role, and hence mitigating them at this stage has a bigger impact. While pre-training does matter, but after the model has been pre-trained, even slight changes to co-occurrence rates in the fine-tuning dataset has a significant effect on the bias of the model.
Computation and Language (cs.CL)
arXiv admin note: This work has been withdrawn by arXiv administrators due to inappropriate text reuse from external sources
plagiarism
14,230
2408.03258v2
On branch and cut approach for q-Allocation Hub Interdiction Problem
Many industries widely adopted hub networks these days. Managing logistics, transportation, and distribution requires a delicate balance to ensure seamless operations within this network. Hub network promotes cost-effective routing through inter-hub flows. Failure of such hubs may impact the total network with huge costs. In this paper, we study bilevel $q$-allocation hub interdiction problem. In previous literature hub interdiction problem was studied with single and multiple allocation this http URL problem focus on $q$ allocation which solves single and multiple allocation problem as special case. We also show improvements on the branch and cut approach by using cutting this http URL experiments based on large instances present the efficiency of the approach to solve some previously unsolved instances.
Optimization and Control (math.OC)
There are some technical errors in the paper. The pareto section is not right and computational results are missing
factual/methodological/other critical errors in manuscript
14,231
2408.04168v2
Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions
This paper considers a scenario in city navigation: an AI agent is provided with language descriptions of the goal location with respect to some well-known landmarks; By only observing the scene around, including recognizing landmarks and road network connections, the agent has to make decisions to navigate to the goal location without instructions. This problem is very challenging, because it requires agent to establish self-position and acquire spatial representation of complex urban environment, where landmarks are often invisible. In the absence of navigation instructions, such abilities are vital for the agent to make high-quality decisions in long-range city navigation. With the emergent reasoning ability of large language models (LLMs), a tempting baseline is to prompt LLMs to "react" on each observation and make decisions accordingly. However, this baseline has very poor performance that the agent often repeatedly visits same locations and make short-sighted, inconsistent decisions. To address these issues, this paper introduces a novel agentic workflow featured by its abilities to perceive, reflect and plan. Specifically, we find LLaVA-7B can be fine-tuned to perceive the direction and distance of landmarks with sufficient accuracy for city navigation. Moreover, reflection is achieved through a memory mechanism, where past experiences are stored and can be retrieved with current perception for effective decision argumentation. Planning uses reflection results to produce long-term plans, which can avoid short-sighted decisions in long-range navigation. We show the designed workflow significantly improves navigation ability of the LLM agent compared with the state-of-the-art baselines.
Artificial Intelligence (cs.AI)
The experiment and dataset are not enough, and we need more experiments to verify our model
incomplete exposition or more work in progress
14,232
2408.04316v2
Explicit expression and fast algorithms for the inverse of some matrices arising from implicit time integration
In this paper, we first present an explicit expression for the inverse\emph{} of a type of matrices. As special applications, the inverse of some matrices arising from implicit time integration techniques, such as the well-known implicit Runge-Kutta schemes and block implicit methods, can also be explicitly determined. Adiitionally, we introduce three fast algorithms for computing the elements of the inverse of these matrices in $O(n^2)$ arithmetic operations, i.e., the first one is based on Traub algorithm for fast inversion of Vandermonde matrices, while the other two utilize the special structure of the matrices. Finally, some symbolic and numerical results are presented to show that our algorithms are both highly efficient and accurate.
Numerical Analysis (math.NA)
There is error in the proof of Theorem 2.2 in Section 2, So the formula (2.10) is wrong. And the numerical results in section 4 may be not correct due to the wrong formula. In order to not misleading the reader, we hope to withdraw this paper, many thanks
factual/methodological/other critical errors in manuscript
14,233
2408.04957v3
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
Visual Spatial Description (VSD) aims to generate texts that describe the spatial relationships between objects within images. Traditional visual spatial relationship classification (VSRC) methods typically output the spatial relationship between two objects in an image, often neglecting world knowledge and lacking general language capabilities. In this paper, we propose a Large Language-and-Vision Assistant for Visual Spatial Description, named LLaVA-VSD, which is designed for the classification, description, and open-ended description of visual spatial relationships. Specifically, the model first constructs a VSD instruction-following dataset using given figure-caption pairs for the three tasks. It then employs LoRA to fine-tune a Large Language and Vision Assistant for VSD, which has 13 billion parameters and supports high-resolution images. Finally, a large language model (Qwen-2) is used to refine the generated sentences, enhancing their diversity and accuracy. LLaVA-VSD demonstrates excellent multimodal conversational capabilities and can follow open-ended instructions to assist with inquiries about object relationships in images.
Computer Vision and Pattern Recognition (cs.CV)
We have discovered a significant error in the paper that affects the main conclusions. To ensure the accuracy of our research, we have decided to withdraw this paper and will resubmit it after making the necessary corrections
factual/methodological/other critical errors in manuscript
14,234
2408.08124v4
Sub-terahertz field emission transistors with selfpackaged microcavities
This paper presents the design of a vertical structure terahertz field emission transistor that utilizes a high-angle oblique deposition method to form a self-packaged vacuum microcavity. The simulation demonstrates that the self-packaged microcavity can effectively mitigate the potential impact of conventional field emission transistors on surrounding solid-state circuits, thereby improving the frequency performance and stability of the device. The proposed design exhibits a cutoff frequency at the sub-terahertz level.
Plasma Physics (physics.plasm-ph)
Achieving reliable simulation of closed new domain formation processes using a single phase-field method is unconvincing and requires the use of multiple algorithms for parallel comparison with experiments
factual/methodological/other critical errors in manuscript
14,235
2408.08780v3
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions
With the help of in-context learning (ICL), large language models (LLMs) have achieved impressive performance across various tasks. However, the function of descriptive instructions during ICL remains under-explored. In this work, we propose an ensemble prompt framework to describe the selection criteria of multiple in-context examples, and preliminary experiments on machine translation (MT) across six translation directions confirm that this framework boosts ICL perfromance. But to our surprise, LLMs might not necessarily care what the descriptions actually say, and the performance gain is primarily caused by the ensemble format, since the framework could lead to improvement even with random descriptive nouns. We further apply this new ensemble prompt on a range of commonsense, math, logical reasoning and hallucination tasks with three LLMs and achieve promising results, suggesting again that designing a proper prompt format would be much more effective and efficient than paying effort into specific descriptions. Our code will be publicly available once this paper is published.
Computation and Language (cs.CL)
There are some mistakes in the experimental data
factual/methodological/other critical errors in manuscript
14,236
2408.09172v3
Unc-TTP: A Method for Classifying LLM Uncertainty to Improve In-Context Example Selection
Nowadays, Large Language Models (LLMs) have demonstrated exceptional performance across various downstream tasks. However, it is challenging for users to discern whether the responses are generated with certainty or are fabricated to meet user expectations. Estimating the uncertainty of LLMs is particularly challenging due to their vast scale and the lack of white-box access. In this work, we propose a novel Uncertainty Tripartite Testing Paradigm (Unc-TTP) to classify LLM uncertainty, via evaluating the consistency of LLM outputs when incorporating label interference into the sampling-based approach. Based on Unc-TTP outputs, we aggregate instances into certain and uncertain categories. Further, we conduct a detailed analysis of the uncertainty properties of LLMs and show Unc-TTP's superiority over the existing sampling-based methods. In addition, we leverage the obtained uncertainty information to guide in-context example selection, demonstrating that Unc-TTP obviously outperforms retrieval-based and sampling-based approaches in selecting more informative examples. Our work paves a new way to classify the uncertainty of both open- and closed-source LLMs, and introduces a practical approach to exploit this uncertainty to improve LLMs performance.
Artificial Intelligence (cs.AI)
The model diagram in Figure 1 on page 3 of the paper has significant ambiguities. It may lead readers to mistakenly believe that the experiments were conducted in a multi-turn dialogue format. Therefore, we request the withdrawal of this submission
factual/methodological/other critical errors in manuscript
14,237
2408.09380v2
ELASTIC: Efficient Linear Attention for Sequential Interest Compression
State-of-the-art sequential recommendation models heavily rely on transformer's attention mechanism. However, the quadratic computational and memory complexities of self attention have limited its scalability for modeling users' long range behaviour sequences. To address this problem, we propose ELASTIC, an Efficient Linear Attention for SequenTial Interest Compression, requiring only linear time complexity and decoupling model capacity from computational cost. Specifically, ELASTIC introduces a fixed length interest experts with linear dispatcher attention mechanism which compresses the long-term behaviour sequences to a significantly more compact representation which reduces up to 90% GPU memory usage with x2.7 inference speed up. The proposed linear dispatcher attention mechanism significantly reduces the quadratic complexity and makes the model feasible for adequately modeling extremely long sequences. Moreover, in order to retain the capacity for modeling various user interests, ELASTIC initializes a vast learnable interest memory bank and sparsely retrieves compressed user's interests from the memory with a negligible computational overhead. The proposed interest memory retrieval technique significantly expands the cardinality of available interest space while keeping the same computational cost, thereby striking a trade-off between recommendation accuracy and efficiency. To validate the effectiveness of our proposed ELASTIC, we conduct extensive experiments on various public datasets and compare it with several strong sequential recommenders. Experimental results demonstrate that ELASTIC consistently outperforms baselines by a significant margin and also highlight the computational efficiency of ELASTIC when modeling long sequences. We will make our implementation code publicly available.
Artificial Intelligence (cs.AI)
We hereby withdraw this paper from arXiv due to incomplete experiments. Upon further review, we have determined that additional experimental work is necessary to fully validate our findings and conclusions
incomplete exposition or more work in progress
14,238
2408.10114v3
Topics in Algebra of Synchronous Games, Algebraic Graph Identities and Quantum NP-hardness Reductions
We review the correspondence between a synchronous game and its associated game algebra. We slightly develop the work of Helton et al.[HMPS17] by proposing results on algebraic and locally commuting graph identities. Based on the theoretical works on noncommutative Nullstellensätze [BWHK23], we build computational tools involving Gröbner basis method and semidefinite programming to check the existence of perfect strategies with specific models. We prove the equivalence between the hereditary and $C^*$ models proposed in [HMPS17]. We also extend Ji's reduction $\texttt{3-Coloring}^* \leq_p \texttt{3-SAT}^*$ [Ji13] and exhibit another instance of quantum-version NP-hardness reduction $\texttt{Clique}^* \leq_p \texttt{3-SAT}^*$.
Quantum Physics (quant-ph)
There is a problem of authorship among people involved in the research project, and we have yet reached an agreement. Meanwhile, we hope to further check the validity of the proving system
administrative or legal issues
14,239
2408.10571v2
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
Diffusion models have revolutionized customized text-to-image generation, allowing for efficient synthesis of photos from personal data with textual descriptions. However, these advancements bring forth risks including privacy breaches and unauthorized replication of artworks. Previous researches primarily center around using prompt-specific methods to generate adversarial examples to protect personal images, yet the effectiveness of existing methods is hindered by constrained adaptability to different prompts. In this paper, we introduce a Prompt-Agnostic Adversarial Perturbation (PAP) method for customized diffusion models. PAP first models the prompt distribution using a Laplace Approximation, and then produces prompt-agnostic perturbations by maximizing a disturbance expectation based on the modeled distribution. This approach effectively tackles the prompt-agnostic attacks, leading to improved defense stability. Extensive experiments in face privacy and artistic style protection, demonstrate the superior generalization of our method in comparison to existing techniques.
Computer Vision and Pattern Recognition (cs.CV)
The experiments are insufficient and need to be completed
incomplete exposition or more work in progress
14,240
2408.11824v2
AppAgent v2: Advanced Agent for Flexible Mobile Interactions
With the advancement of Multimodal Large Language Models (MLLM), LLM-driven visual agents are increasingly impacting software interfaces, particularly those with graphical user interfaces. This work introduces a novel LLM-based multimodal agent framework for mobile devices. This framework, capable of navigating mobile devices, emulates human-like interactions. Our agent constructs a flexible action space that enhances adaptability across various applications including parser, text and vision descriptions. The agent operates through two main phases: exploration and deployment. During the exploration phase, functionalities of user interface elements are documented either through agent-driven or manual explorations into a customized structured knowledge base. In the deployment phase, RAG technology enables efficient retrieval and update from this knowledge base, thereby empowering the agent to perform tasks effectively and accurately. This includes performing complex, multi-step operations across various applications, thereby demonstrating the framework's adaptability and precision in handling customized task workflows. Our experimental results across various benchmarks demonstrate the framework's superior performance, confirming its effectiveness in real-world scenarios. Our code will be open source soon.
Human-Computer Interaction (cs.HC)
Pre-print version, some content needs to be supplemented
incomplete exposition or more work in progress
14,241
2408.12067v2
Distributed Noncoherent Joint Transmission Based on Multi-Agent Reinforcement Learning for Dense Small Cell MISO Systems
We consider a dense small cell (DSC) network where multi-antenna small cell base stations (SBSs) transmit data to single-antenna users over a shared frequency band. To enhance capacity, a state-of-the-art technique known as noncoherent joint transmission (JT) is applied, enabling users to receive data from multiple coordinated SBSs. However, the sum rate maximization problem with noncoherent JT is inherently nonconvex and NP-hard. While existing optimization-based noncoherent JT algorithms can provide near-optimal performance, they require global channel state information (CSI) and multiple iterations, which makes them difficult to be implemeted in DSC this http URL overcome these challenges, we first prove that the optimal beamforming structure is the same for both the power minimization problem and the sum rate maximization problem, and then mathematically derive the optimal beamforming structure for both problems by solving the power minimization this http URL optimal beamforming structure can effectively reduces the variable this http URL exploiting the optimal beamforming structure, we propose a deep deterministic policy gradient-based distributed noncoherent JT scheme to maximize the system sum this http URL the proposed scheme, each SBS utilizes global information for training and uses local CSI to determine beamforming vectors. Simulation results demonstrate that the proposed scheme achieves comparable performance with considerably lower computational complexity and information overhead compared to centralized iterative optimization-based techniques, making it more attractive for practical deployment.
Signal Processing (eess.SP)
After thorough discussions with my co-authors, we have identified certain issues with the paper that cannot be resolved through revisions. As a result, we have collectively decided to complete withdraw the paper from arXiv
factual/methodological/other critical errors in manuscript
14,242
2408.13589v2
$s$-Modular, $s$-congruent and $s$-duplicate partitions
In this paper, we investigate the combinatorial properties of three classes of integer partitions: (1) $s$-modular partitions, a class consisting of partitions into parts with a number of occurrences (i.e., multiplicity) congruent to $0$ or $1$ modulo $s$, (2) $s$-congruent partitions, which generalize Sellers' partitions into parts not congruent to $2$ modulo $4$, and (3) $s$-duplicate partitions, of which the partitions having distinct odd parts and enumerated by the function $\mypod(n)$ are a special case. In this vein, we generalize Alladi's series expansion for the product generating function of $\mypod(n)$ and show that Andrews' generalization of Göllnitz-Gordon identities coincides with the number of partitions into parts simultaneously $s$-congruent and $t$-distinct (parts appearing fewer than $t$ times).
Combinatorics (math.CO)
There are somme mathematical errors in the paper, we will correct after we will put it in arXiv
factual/methodological/other critical errors in manuscript
14,243
2408.14102v3
Spectral Turán problem for $\mathcal{K}_{2,t}^-$-free unbalanced signed graphs
We determine the maximum index and the signed graphs with the maximum index among all $\mathcal{K}_{2,t}^-$-free unbalanced signed graphs with fixed order for $t\geq 3$, as well as the second maximum index and the signed graphs with the second maximum index among all $\mathcal{K}_{2,t}^-$-free unbalanced signed graphs with fixed order for $t\geq 4$.
Combinatorics (math.CO)
The conclusion is not right. A new version is under work
incomplete exposition or more work in progress
14,244
2408.14846v2
Diffusion-Occ: 3D Point Cloud Completion via Occupancy Diffusion
Point clouds are crucial for capturing three-dimensional data but often suffer from incompleteness due to limitations such as resolution and occlusion. Traditional methods typically rely on point-based approaches within discriminative frameworks for point cloud completion. In this paper, we introduce \textbf{Diffusion-Occ}, a novel framework for Diffusion Point Cloud Completion. Diffusion-Occ utilizes a two-stage coarse-to-fine approach. In the first stage, the Coarse Density Voxel Prediction Network (CDNet) processes partial points to predict coarse density voxels, streamlining global feature extraction through voxel classification, as opposed to previous regression-based methods. In the second stage, we introduce the Occupancy Generation Network (OccGen), a conditional occupancy diffusion model based on a transformer architecture and enhanced by our Point-Voxel Fuse (PVF) block. This block integrates coarse density voxels with partial points to leverage both global and local features for comprehensive completion. By thresholding the occupancy field, we convert it into a complete point cloud. Additionally, our method employs diverse training mixtures and efficient diffusion parameterization to enable effective one-step sampling during both training and inference. Experimental results demonstrate that Diffusion-Occ outperforms existing discriminative and generative methods.
Computer Vision and Pattern Recognition (cs.CV)
After a closer examination of our work, we've determined that our experiments are not thorough and robust enough, possibly impacting the accuracy of our conclusions. Hence, we've decided to withdraw our article and, after refining our experiments, intend to resubmit the paper once significant improvements have been made
incomplete exposition or more work in progress
14,245
2408.16134v2
A transition state resonance radically reshapes angular distributions of the F + H2 -> F H(vf = 3) + H reaction in the 62.09-101.67 meV energy range
Reactive angular distributions of the benchmark F + H2(vi = 0) -> F H(vf = 3) + H reaction show unusual propensity towards small scattering angles, a subject of a long debate in the literature. We use Regge trajectories to quantify the resonance contributions to state-to-state differential cross sections. Conversion to complex energy poles allows us to attribute the effect almost exclusively to a transition state resonance, long known to exist in the F +H2 system and its isotopic variant F +HD. For our detailed analysis of angular scattering we employ the package DCS Regge, recently developed for the purpose [Comp. Phys. Comm., 2022, 277, 108370.]
Quantum Physics (quant-ph)
Inaccuracies in the version 1. Will be replaced with version 2, with a slightly changed title
factual/methodological/other critical errors in manuscript
14,246
2408.16162v2
Every Polish group has a non-trivial topological group automorphism
We prove that every Polish group admits a non-trivial topological group automorphism. This answers a question posed by Forte Shinko. As a consequence, we prove that there are no uniquely homogeneous Polish groups.
Logic (math.LO)
The argument in the last paragraph of the proof of Theorem 1.1 is faulty. Concretely, when we extend a non-trivial automorphism of L to the whole group by fixing any element of a maximal independent subset Y of U, we redefine the automorphism for the elements of L that are generated by Y. We thank [REDACTED-NAME] for pointing out this mistake
factual/methodological/other critical errors in manuscript
14,247
2408.16260v2
A General Framework for Optimizing and Learning Nash Equilibrium
One key in real-life Nash equilibrium applications is to calibrate players' cost functions. To leverage the approximation ability of neural networks, we proposed a general framework for optimizing and learning Nash equilibrium using neural networks to estimate players' cost functions. Depending on the availability of data, we propose two approaches (a) the two-stage approach: we need the data pair of players' strategy and relevant function value to first learn the players' cost functions by monotonic neural networks or graph neural networks, and then solve the Nash equilibrium with the learned neural networks; (b) the joint approach: we use the data of partial true observation of the equilibrium and contextual information (e.g., weather) to optimize and learn Nash equilibrium simultaneously. The problem is formulated as an optimization problem with equilibrium constraints and solved using a modified Backpropagation Algorithm. The proposed methods are validated in numerical experiments.
Computer Science and Game Theory (cs.GT)
This is an incomplete draft, we need to make more modifications
incomplete exposition or more work in progress
14,248
2408.16437v2
Direct finiteness of representable regular rings with involution: A counterexample
Bruns and Roddy constructed a $3$-generated modular ortholattice $L$ which cannot be embedded into any complete modular ortholattice. Motivated by their approach, we use shift operators to construct a $*$-regular $*$-ring $R$ of endomorphisms of an inner product space (which can be chosen as the Hilbert space $\ell^2$) such that direct finiteness fails for $R$.
Rings and Algebras (math.RA)
As observed by Wehrung, the identity minus shift has no quasi-inverse in the ring of row and column finite matrices. Thus, the claimed example does not work
factual/methodological/other critical errors in manuscript
14,249
2409.00369v3
An Empirical Study on Information Extraction using Large Language Models
Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (NLP) related tasks. Therefore, various attempts have been made to apply LLMs to information extraction (IE), which is a fundamental NLP task that involves extracting information from unstructured plain text. To demonstrate the latest representative progress in LLMs' information extraction ability, we assess the information extraction ability of GPT-4 (the latest version of GPT at the time of writing this paper) from four perspectives: Performance, Evaluation Criteria, Robustness, and Error Types. Our results suggest a visible performance gap between GPT-4 and state-of-the-art (SOTA) IE methods. To alleviate this problem, considering the LLMs' human-like characteristics, we propose and analyze the effects of a series of simple prompt-based methods, which can be generalized to other LLMs and NLP tasks. Rich experiments show our methods' effectiveness and some of their remaining issues in improving GPT-4's information extraction ability.
Computation and Language (cs.CL)
This submission was intended instead as the replacement of arXiv:2305.14450 , where it now appears as arXiv:2305.14450v2
subsumed by another publication
14,250
2409.00381v2
3D Gaussian Splatting for Large-scale 3D Surface Reconstruction from Aerial Images
Recently, 3D Gaussian Splatting (3DGS) has garnered significant attention. However, the unstructured nature of 3DGS poses challenges for large-scale surface reconstruction from aerial images. To address this gap, we propose the first large-scale surface reconstruction method for multi-view stereo (MVS) aerial images based on 3DGS, named Aerial Gaussian Splatting (AGS). Initially, we introduce a data chunking method tailored for large-scale aerial imagery, making the modern 3DGS technology feasible for surface reconstruction over extensive scenes. Additionally, we integrate the Ray-Gaussian Intersection method to obtain normal and depth information, facilitating geometric constraints. Finally, we introduce a multi-view geometric consistency constraint to enhance global geometric consistency and improve reconstruction accuracy. Our experiments on multiple datasets demonstrate for the first time that the GS-based technique can match traditional aerial MVS methods on geometric accuracy, and beat state-of-the-art GS-based methods on geometry and rendering quality.
Computer Vision and Pattern Recognition (cs.CV)
In the writing, some parts of the book were wrong and needed a large revision
factual/methodological/other critical errors in manuscript
14,251
2409.00815v2
Serialized Speech Information Guidance with Overlapped Encoding Separation for Multi-Speaker Automatic Speech Recognition
Serialized output training (SOT) attracts increasing attention due to its convenience and flexibility for multi-speaker automatic speech recognition (ASR). However, it is not easy to train with attention loss only. In this paper, we propose the overlapped encoding separation (EncSep) to fully utilize the benefits of the connectionist temporal classification (CTC) and attention hybrid loss. This additional separator is inserted after the encoder to extract the multi-speaker information with CTC losses. Furthermore, we propose the serialized speech information guidance SOT (GEncSep) to further utilize the separated encodings. The separated streams are concatenated to provide single-speaker information to guide attention during decoding. The experimental results on LibriMix show that the single-speaker encoding can be separated from the overlapped encoding. The CTC loss helps to improve the encoder representation under complex scenarios. GEncSep further improved performance.
Sound (cs.SD)
something wrong with input data
factual/methodological/other critical errors in manuscript
14,252
2409.00822v2
RTop-K: Ultra-Fast Row-Wise Top-K Algorithm and GPU Implementation for Neural Networks
Top-k algorithms are essential in various applications, from high-performance computing and information retrieval to big data and neural network model training. This paper introduces RTop-K, a highly efficient parallel row-wise top-k selection algorithm designed for GPUs. RTop-K employs a Binary Search-based approach to optimize resource allocation and provides a scalable solution that significantly accelerates top-k operations. We perform a theoretical analysis of the effects of early stopping in our algorithm, demonstrating that it maintains the accuracy of neural network models while enhancing performance. Comprehensive tests show that our GPU implementation of RTop-K outperforms other row-wise top-k GPU implementations, with minimal impact on testing accuracy when early stopping is applied. Notably, RTop-K achieves speed increases ranging from 4.245$\times$ to 9.506$\times$ with early stopping, and 3.936$\times$ without early stopping, compared to state-of-the-art implementations. The proposed methods offer significant improvements in the training and inference of Graph Neural Networks (GNNs), addressing critical challenges in latency and throughput on GPU platforms.
Distributed, Parallel, and Cluster Computing (cs.DC)
Need to improve the experiment part
incomplete exposition or more work in progress
14,253
2409.01021v2
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection
Inter-image association modeling is crucial for co-salient object detection. Despite satisfactory performance, previous methods still have limitations on sufficient inter-image association modeling. Because most of them focus on image feature optimization under the guidance of heuristically calculated raw inter-image associations. They directly rely on raw associations which are not reliable in complex scenarios, and their image feature optimization approach is not explicit for inter-image association modeling. To alleviate these limitations, this paper proposes a deep association learning strategy that deploys deep networks on raw associations to explicitly transform them into deep association features. Specifically, we first create hyperassociations to collect dense pixel-pair-wise raw associations and then deploys deep aggregation networks on them. We design a progressive association generation module for this purpose with additional enhancement of the hyperassociation calculation. More importantly, we propose a correspondence-induced association condensation module that introduces a pretext task, i.e. semantic correspondence estimation, to condense the hyperassociations for computational burden reduction and noise elimination. We also design an object-aware cycle consistency loss for high-quality correspondence estimations. Experimental results in three benchmark datasets demonstrate the remarkable effectiveness of our proposed method with various training settings.
Computer Vision and Pattern Recognition (cs.CV)
There is an error. [REDACTED-NAME] 4.1, the number of images in some dataset is incorrect and needs to be revised
factual/methodological/other critical errors in manuscript
14,254
2409.01137v3
Smart E-commerce Recommendations with Semantic AI
In e-commerce, web mining for page recommendations is widely used but often fails to meet user needs. To address this, we propose a novel solution combining semantic web mining with BP neural networks. We process user search logs to extract five key features: content priority, time spent, user feedback, recommendation semantics, and input deviation. These features are then fed into a BP neural network to classify and prioritize web pages. The prioritized pages are recommended to users. Using book sales pages for testing, our results demonstrate that this solution can quickly and accurately identify the pages users need. Our approach ensures that recommendations are more relevant and tailored to individual preferences, enhancing the online shopping experience. By leveraging advanced semantic analysis and neural network techniques, we bridge the gap between user expectations and actual recommendations. This innovative method not only improves accuracy but also speeds up the recommendation process, making it a valuable tool for e-commerce platforms aiming to boost user satisfaction and engagement. Additionally, our system ability to handle large datasets and provide real-time recommendations makes it a scalable and efficient solution for modern e-commerce challenges.
Information Retrieval (cs.IR)
My paper contain some errors
factual/methodological/other critical errors in manuscript
14,255
2409.01583v2
On the anisotropic Calderón's problem
We prove that the Riemannian metric on a compact manifold of dimension $n\geq 3$ with smooth boundary can be uniquely determined, up to an isometry fixing the boundary, by the Dirichlet-to-Neumann map associated to the Laplace-Beltrami operator.
Analysis of PDEs (math.AP)
The argument is incorrect
factual/methodological/other critical errors in manuscript
14,256
2409.04933v2
Marginal Structural Modeling of Representative Treatment Trajectories
Marginal structural models (MSMs) are widely used in observational studies to estimate the causal effect of time-varying treatments. Despite its popularity, limited attention has been paid to summarizing the treatment history in the outcome model, which proves particularly challenging when individuals' treatment trajectories exhibit complex patterns over time. Commonly used metrics such as the average treatment level fail to adequately capture the treatment history, hindering causal interpretation. For scenarios where treatment histories exhibit distinct temporal patterns, we develop a new approach to parameterize the outcome model. We apply latent growth curve analysis to identify representative treatment trajectories from the observed data and use the posterior probability of latent class membership to summarize the different treatment trajectories. We demonstrate its use in parameterizing the MSMs, which facilitates the interpretations of the results. We apply the method to analyze data from an existing cohort of lung transplant recipients to estimate the effect of Tacrolimus concentrations on the risk of incident chronic kidney disease.
Methodology (stat.ME)
We have discovered that the core idea of our paper overlaps with a previously published work. In light of this, we need to conduct a more thorough update and revision of our research before proceeding further
subsumed by another publication
14,257
2409.05448v2
Representational Analysis of Binding in Large Language Models
Entity tracking is essential for complex reasoning. To perform in-context entity tracking, language models (LMs) must bind an entity to its attribute (e.g., bind a container to its content) to recall attribute for a given entity. For example, given a context mentioning ``The coffee is in Box Z, the stone is in Box M, the map is in Box H'', to infer ``Box Z contains the coffee'' later, LMs must bind ``Box Z'' to ``coffee''. To explain the binding behaviour of LMs, Feng and Steinhardt (2023) introduce a Binding ID mechanism and state that LMs use a abstract concept called Binding ID (BI) to internally mark entity-attribute pairs. However, they have not directly captured the BI determinant information from entity activations. In this work, we provide a novel view of the Binding ID mechanism by localizing the prototype of BI information. Specifically, we discover that there exists a low-rank subspace in the hidden state (or activation) of LMs, that primarily encodes the order of entity and attribute and which is used as the prototype of BI to causally determine the binding. To identify this subspace, we choose principle component analysis as our first attempt and it is empirically proven to be effective. Moreover, we also discover that when editing representations along directions in the subspace, LMs tend to bind a given entity to other attributes accordingly. For example, by patching activations along the BI encoding direction we can make the LM to infer ``Box Z contains the stone'' and ``Box Z contains the map''.
Computation and Language (cs.CL)
The key phrase "BI Subspace" might be misleading, because it sounds like the subspace that directly encodes BI, and which is different with its intended meaning that the subspace that is the base (or prototype) of BI. Therefore, the naming of the subspace and its corresponding wording needs further discussion and review
incomplete exposition or more work in progress
14,258
2409.07035v2
Approximately counting maximal independent set is equivalent to #SAT
A maximal independent set is an independent set that is not a subset of any other independent set. It is also the key problem of mathematics, computer science, and other fields. A counting problem is a type of computational problem that associated with the number of solutions. Besides, counting problems help us better understand several fields such as algorithm analysis, complexity theory, artificial intelligence, etc. The problem of counting maximal independent sets is #P-complete. So it is natural to think about approximate counting for maximal independent sets problem. In this article, we study the complexity of approximately counting maximal independent sets. Specifically, we are the first to prove that the #MIS problem is AP-interreducible with the #SAT of a given general graph.
Computational Complexity (cs.CC)
After discussion, this is already known in JCSS (with the arXiv:1411.6829),proving that approximately counting MIS in bipartite graphs is equivalent to #SAT under AP-reductions, it is a stronger result if it restricts to bipartite graphs, which implies it for general graphs. Therefore, this paper tends to be more of a direct proof exercise
subsumed by another publication
14,259
2409.08172v2
A Bayesian framework to evaluate evidence in cases of alleged cheating with secret codes in sports
We present a Bayesian framework to analyze a case of alleged cheating in the mind sport contract bridge. We explain why a Bayesian approach is called for, and not a frequentistic one. We argue that such a Bayesian framework can and should also be used in other sports for cases of alleged cheating by means of illegal signalling.
Applications (stat.AP)
The paper might be too accusatory towards two persons who have been officially cleared. For legal reasons, we would like to (hopefully temporarily) withdraw the paper, until we have obtained legal advice. Apologies for any inconvenience!
administrative or legal issues
14,260
alg-geom/9505016v2
Iitaka-Severi's Conjecture for Complex Threefolds
We prove the following generalization of Severi's Theorem: Let $X$ be a fixed complex variety. Then there exist, up to birational equivalence, only finitely many complex varieties $Y$ of general type of dimension at most three which admit a dominant rational map $f$ from $X$ to Y$.
Algebraic Geometry (math.AG)
This paper has been withdrawn by the author. Withdrawn since its content had been subsumed (with improvement) in arXiv:alg-geom/9608033
subsumed by another publication
14,261
alg-geom/9507008v3
The Gauss map and the dual variety of real-analytic submanifolds in a sphere or in a hyperbolic space
We study the Gauss map and the dual variety of a real-analytic immersion of a connected compact real-analytic manifold into a sphere or into a hyperbolic space. The dual variety is defined to be the set of all normal directions of the immersion. First, we show that the image of the Gauss map characterizes the manifold. Also we show that the dual variety characterizes the manifold. Besides, duality of the second fundamental form and some results on degeneration are obtained. In Algebraic Geometry E-prints eight files are tar-compressed and uuencoded.
Algebraic Geometry (math.AG)
AMSLaTeX v.1.2; This paper has been withdrawn by the author
reason not specified
14,262
alg-geom/9711005v2
Some fundamental problems on real-analytic sets
The category of real-analytic sets and real-analytic maps is the most important category in application. However, in spite of efforts by F. Bruhat, H. Cartan, H. Whitney et al., the basic theory of real-analytic category does not yet seem to be well-developed. In this article I would like to point out several basic problems.
Algebraic Geometry (math.AG)
2 pages, LaTeX2e+AmsLaTeX. To appear in the proceedings of "Singularities and related subjects" (September 1997, Changchun, China). The same article available also at this http URL. This paper has been withdrawn by the author
subsumed by another publication
14,263
astro-ph/0310899v3
Floquet analysis of disk instabilities and superhumps in Cataclysmic Variables
The paper has been deeply reviewed and compeltely re-written.
Astrophysics (astro-ph)
This paper has been withdrawn by the author and re-written by the autors after the interpretation of the new numerical results.
incomplete exposition or more work in progress
14,264
astro-ph/0408378v2
New northern common proper motion pairs
A list of 705 new Northern Celestial Hemisphere common proper motion pairs as derived from the Second U.S. Naval Observatory CCD Astrograph Catalog is presented, along with details of their separation, motion, brightness and colour. Objects of particular interest are noted, and the use of the catalogue for such work gauged.
Astrophysics (astro-ph)
withdrawn
reason not specified
14,265
astro-ph/0502414v2
Dynamics of dense star-gas systems: BHs and their precursors
This thesis embraces several aspects of theoretical stellar dynamics in clusters, both analytically and numerically. We try to elucidate the phenomena currently observed in all types of galaxies, including AGNs and quasars, some of the most powerful objects in the universe. The interactions between the stellar system and the central black hole give rise to a lot of interesting phenomena. The scheme we employ enables a study of clean-cut aspects without any noise that particle methods suffer from. We study the most important physical processes that are readily available in the evolution of a spherical cluster, like self-gravity, two-body relaxation etc, the interaction with a central black hole and the role of a mass spectrum. Not only embark we upon this subject, but we set about an analysis on super-massive stars. How these stars could power the quasar activity by star accretion and energy flows is one of the questions that arises. We undertake other questions, such as the uncertain evolution of such an object and its interaction with the surrounding stellar system. This is of crucial importance in astrophysics, for these objects could be regarded as super-massive black holes progenitors.
Astrophysics (astro-ph)
This work has been withdrawn because some chapters will be now finally used for publications and there is no need for keeping them here too
subsumed by another publication
14,266
astro-ph/0503025v2
The Outward Radial Offset of Neptune Ring Arcs
The designation of the customary restricted three-body disturbing potential $\Phi$ as the perturbation Hamiltonian is believed to be the cause of Neptune ring arcs' radial offset between theories and observations. To identify the appropriate perturbation Hamiltonian, the energy integral in the fixed frame of a restricted three-body system, consisting of the central, primary, and test bodies, is reconsidered. It is shown that the perturbation energy includes the disturbing potential $\Phi$ and the potential arising from the angular momentum terms of the test body. Both potentials happen to be singular as the test body goes to infinity contradicting to the perturbation nature. These two potentials can be combined to an energy relevant disturbing potential $\Phi^{*}=\beta\Phi$ which is regular at infinity because of the cancellation of the singularities. For circular orbits of the primary, the energy equation is conservative, and $\Phi^{*}$ is identified as the perturbation Hamiltonian. Applying this result to evaluate the backgrund effect of Triton to the arc-Galatea system of Neptune, it is shown that there is a small difference $\Delta\Phi=(\Phi^{*}-\Phi)$ which amounts to an outward radial offset of the corotation location of Galatea by 0.3 Km. The mismatch between the pattern speed of Galatea's corotation potential and the mean motion velocity of the arcs could be resolved by considering the finite mass of Fraternite. However, by using $\Phi^{*}$, Galatea's eccentricity could be reassessed in terms of the mass of Fraternite.
Astrophysics (astro-ph)
I have come to the conclusion that the model was not correct
factual/methodological/other critical errors in manuscript
14,267
astro-ph/0503299v3
Mass estimates from stellar proper motions: The mass of $ω$ Centauri
A projected mass estimator and a maximum likelihood estimator are developed to best determine the mass of stellar clusters from proper motion data. Both methods effectively account and correct for errors in the velocities, and provide an unbiased and robust estimate of the cluster mass. Using an extensive proper motion study of $\omega$ Centauri by van Leeuwen et al. (2000), we estimate the mass of $\omega$ Centauri using these two different methods to be $2.8 \times 10^{6} M_{\odot} \left[d/5.1 kpc\right]^{3}$. Within this modeling context, the statistical error is $3\%$ and the systematic error is $4\%$.
Astrophysics (astro-ph)
This paper has been withdrawn in favor of arXiv:1211.4399
subsumed by another publication
14,268
astro-ph/0505369v2
Revised dynamics or dark matter in galactic and extra galactic scales?
Allowing the energy of a gravitational field to serve partially as its own source allows gravitating bodies to exhibit stronger fields, as if they were more massive. Depending on degree of compaction of the body, the field could be one to five times larger than the newtonian field. This is a comfortable range of increase in field strength and may prove to be of convenience in the study of velocity curves of spirals, of velocity dispersions in clusters of galaxies and in interpreting the Tully-Fisher or Faber-Jackson relations in galaxies or systems of galaxies. The revised gravitation admits of superposition principle but only approximately in systems whose components are widely separated. The revised dynamics admits of the equivalence principle in that, the effective force acting on a test particle is derived from a potential, and could be eliminated in a freely falling frame of reference
Astrophysics (astro-ph)
5 pages, 1 figure This paper is withdrawn by the author
reason not specified
14,269
astro-ph/0506007v6
Development of an Electronic Readout System for the Detection of Radio Emission from Extensive Cosmic Ray Air Showers
This paper has been withdrawn.
Astrophysics (astro-ph)
This paper has been withdrawn
reason not specified
14,270
astro-ph/0509753v3
Separate the Tensor Perturbation From the CMB Temperature Anisotropy Power Spectrum
This paper has been withdrawn.
Astrophysics (astro-ph)
This paper has been withdrawn
reason not specified
14,271
astro-ph/0510355v2
CMB Temperature Anisotropy Quadrupole Generated by Tensor Perturbation
This paper has been withdrawn.
Astrophysics (astro-ph)
This paper has been withdrawn
reason not specified
14,272
astro-ph/0511368v2
The Absence of the Fundamental Plane of Black Hole Activity
An analysis of the radio and X-ray luminosities, along with black hole masses has led to a relationship, the fundamental plane of black hole activity, where logL_R = 0.60logL_X + 0.78logM_BH. We show that this same relationship can be obtained by using upper limit data or by randomizing the radio fluxes. In those cases, the relationship arises because one is effectively plotting distance vs distance in a flux-limited sample of objects. To correctly establish a relationship between L_R, L_X, and M_BH, one would need to analyze a volume-limited sample of objects. The distance effect can be removed from the sample, where a relationship between L_R/L_X and M_BH is found, showing that the L_R rises more quickly than L_X with increasing M_BH. However, until a well-define sample is used, it is unclear the degree to which this relationship is influenced by the sample-selection.
Astrophysics (astro-ph)
This paper has been withdrawn by the author and is superseded by recent works
subsumed by another publication
14,273
astro-ph/0512301v2
Complexes of stars and complexes of star clusters
Most star complexes are in fact complexes of stars, clusters and gas clouds; term "star complexes" was introduced as general one disregarding the preferential content of a complex. Generally the high rate of star formation in a complex is accompanied by the high number of bound clusters, including massive ones, what was explained by the high gas pressure in such regions. However, there are also complexes, where clusters seems to be more numerous in relation to stars than in a common complex. The high rate of clusters - but not isolated stars - formation seems to be typical for many isolated bursts of star formation, but deficit of stars might be still explained by the observational selection. The latter cannot, however, explain the complexes or the dwarf galaxies, where the high formation rate of only stars is observed. The possibility of the very fast dissolution of parental clusters just in such regions should itself be explained. Some difference in the physical conditions (turbulence parameters ?) within the initial gas supercloud might be a reason for the high or low stars/clusters number ratio in a complex.
Astrophysics (astro-ph)
[REDACTED-NAME] Institute, [REDACTED-NAME] paper has been withdrawn by the author because its content is about identical to that of his astro-ph/0512302 paper
subsumed by another publication
14,274
astro-ph/0609443v2
The Role of Primordial Kicks on Black Hole Merger Rates
Primordial stars are likely to be very massive >30 Msun, form in isolation, and will likely leave black holes as remnants in the centers of their host dark matter halos. We expect primordial stars to form in halos in the mass range 10^6-10^10 Msun. Some of these early black holes, formed at redshifts z>10, could be the seed black hole for a significant fraction of the supermassive black holes found in galaxies in the local universe. If the black hole descendants of the primordial stars exist, their mergers with nearby supermassive black holes may be a prime candidate for long wavelength gravitational wave detectors. We simulate formation and evolution of dark matter halos in LambdaCDM universe. We seed high-redshift dark matter halos with early black holes, and explore the merger history of the host halos and the implications of black hole's kick velocities arising from their coalescence. The central concentration of low mass early black holes in present day galaxies is reduced if they experience even moderate kicks of tens of km/s. Even such modest kicks allow the black holes to leave their parent halo, which consequently leads to dynamical friction being less effective on the low mass black holes that were ejected, compared to those still embedded in their parent halos. Therefore, merger rates with central supermassive black holes in the largest halos may be reduced by more than an order of magnitude. Using analytical and illustrative cosmological N-body simulations, we quantify the role of kicks on the merger rates of black holes formed from massive metal free stars with supermassive black holes in present day galaxies.
Astrophysics (astro-ph)
12 pages, 9 figures, accepted by MNRAS. This submission has been withdrawn by arXiv administrators as a duplicate of arXiv:astro-ph/0512123
subsumed by another publication
14,275
astro-ph/0609543v2
Determining the expansion history of the universe with the three dimensional cosmic shear
We define a new observable that depends on finite redshift differences of the spin-weighted angular moments of the two point function of the three dimensional cosmic shear and on luminosity distance. It is shown that precise measurements of our observable will be able to tightly constrain the expansion history of the universe.
Astrophysics (astro-ph)
Witdrawn. Replaced by 1008.2695 (to be published in JCAP) which includes many substantial improvements
subsumed by another publication
14,276
astro-ph/0702660v2
Grand Unification II: Hot Accretion and AGN Jets
We show that a quasi-spherical (QS) hot accretion flow is expected to operate in all SMBHs, with its rate being capped at dot m_QS,max~0.001 (M/1E8Msun) in units of the Eddington rate. It is then proposed that AGN jet power is proportional to the product of the hot accretion rate and a SMBH spin-dependent efficiency for energy extraction in the form of jets. Predictions from this model include (1) while radio jets should emerge from all SMBHs, the maximum jet power goes with SMBH mass approximately as 1E43.6(M/1E8Msun)^{2}erg/s, (2) even although there are two separate underlying populations of radio-quiet (RQ) and radio-loud (RL) AGNs, any bimodality in the observed AGN radio loudness distribution is likely due to a selection effect, such as some imposed optical magnitude limits, (3) the RL fraction of quasars is expected to decrease with redshift in the cold dark matter model, (4) host galaxies of RQ and RL quasars should be drawn from the same underlying elliptical galaxy population, although RL quasars may have SMBHs that are somewhat more massive than their RQ counterparts and RL quasars may reside predominantly in core elliptical galaxies, (5) RL low-luminosity AGNs and LINERs may represent the long, declining "trailing" phase following the initial, more luminous AGN phase, (6) a broad anti-correlation between radio- loudness and disk accretion rate is expected, (7) RL AGNs may be expected to be more abundant in Type Ia supernovae than RQ AGNs, (8) among RL AGNs a correlation between radio power and clustering strength is predicted, and (9) RQ and RL AGNs should have, on average, similar IR-optical-UV properties. ~
Astrophysics (astro-ph)
The author intends to write the paper in a different form
incomplete exposition or more work in progress
14,277
astro-ph/9912213v2
In Flight Determination of the Plate Scale of the EIT
Using simultaneous observations of the MDI and EIT instruments on board the SoHO spacecraft, we determined in flight the plate scale of the EIT. We found a value of 2.629+-0.001 arc seconds per pixel, in fair agreement with the 2.627+-0.001 arc seconds per pixel value deduced from recent laboratory measurements of the focal length, and much higher by 7 sigma than the 2.622 arc seconds per pixel value of the pre-flight calibrations. The plate scale is found to be constant across the field of view, confirming the negligible distortion level predicted by the theoretical models of the EIT. Furthermore, the 2 sigma difference between our results and the latest laboratory measurements, although statistically small, may confirm a recent work suggesting that the solar photospheric radius may be 0.5 Mm lower than the classically adopted value of 695.99 Mm.
Astrophysics (astro-ph)
Withdraw because it was a submitted version, not an as-published version
administrative or legal issues
14,278
cond-mat/0106340v2
Bose-Einstein condensation in systems with quadratic energy levels
This paper has been withdrawn by the authors due to substantial changes.
Condensed Matter (cond-mat)
This paper has been withdrawn
reason not specified
14,279
cond-mat/0110189v4
Human Genome data analyzed by an evolutionary method suggests a decrease in cerebral protein-synthesis rate as cause of schizophrenia and an increase as antipsychotic mechanism
The Human Genome Project (HGP) provides researchers with the data of nearly all human genes and the challenge to use this information for elucidating the etiology of common disorders. A secondary Darwinian method was applied to HGP and other research data to approximate and possibly unravel the etiology of schizophrenia. The results indicate that genetic and epigenetic variants of genes involved in signal transduction, transcription and translation - converging at the protein-synthesis rate (PSR) as common final pathway - might be responsible for the genetic susceptibility to schizophrenia. Environmental (e.g. viruses)and/or genetic factors can lead to cerebral PSR (CPSR) deficiency. The CPSR hypothesis of schizophrenia and antipsychotic mechanism explains 96% of the major facts of schizophrenia, reveals links between previously unrelated facts, integrates many hypotheses, and implies that schizophrenia should be easily preventable and treatable, partly by immunization against neurotrophic viruses and partly by the development of new drugs which selectively increase CPSR. Part of the manuscript has been published in a modified form as "The glial growth factors deficiency and synaptic destabilization hypothesis of schizophrenia" in BMC Psychiatry available online at this http URL
Disordered Systems and Neural Networks (cond-mat.dis-nn)
This paper has been withdrawn by the author because it was largely based on a significant association of our schizophrenia sample with the genetic marker D8S1777. According to the available gene maps of the early [REDACTED-NAME] Project in 2000, the EIF4EBP1 gene was within range of that locus, but later versions of the HGP showed that the NRG1 gene actually mapped to this locus
factual/methodological/other critical errors in manuscript
14,280
cond-mat/0110290v2
An Alternative Definition of the Equivalent Noise Temperature of Two Terminal Networks
A hypothetical test resistor is connected in parallel to a two terminal network. The temperature of the test resistor is tuned, until there is no net flow of noise energy between the network and the resistor. It is shown that this temperature is independent of the value of the resistor. It is therefore suggested that this temperature may serve as an alternative definition of the equivalent noise temperature of a two terminal network. Quite interestingly, this equivalent noise temperature of an ideal pn diode equals the actual temperatue of the diode. Furthermore, if this newly defined equivalent noise temperature can be estimated for a given network by physical arguments, than the noise of the network can be calculated provided its current voltage dependence is known. As an example, the suppression of shot noise due to recombination in the space charge region of a pn diode is estimated using this procedure.
Materials Science (cond-mat.mtrl-sci)
work not complete
incomplete exposition or more work in progress
14,281
cond-mat/0111151v3
Neural Networks with Finite Width Action Potentials
The paper was done as an assigned Princeton university project. It is being withdrawn since it needs to be changed and updated substantially.
Disordered Systems and Neural Networks (cond-mat.dis-nn)
The paper has been withdrawn
reason not specified
14,282
cond-mat/0205043v4
Thermal Noise at Quasi-equilibrium
An expression that relates thermal current fluctuations in two terminal networks at quasi-equilibrium to their current voltage characteristics is presented. It is based upon the observation that the available thermal noise power at quasi-equilibrium is very close to the equilibrium value. As an example, current noise in ideal p-n junctions is obtained from their characteristics. Thermal current noise in field effect transistors is predicted by this approach, as well as "shot noise suppression" due to barrier lowering in solid-state diodes.
Statistical Mechanics (cond-mat.stat-mech)
work not complete
incomplete exposition or more work in progress
14,283
cond-mat/0207642v2
Large amplitude behavior of the Grinfeld instability, Part I: High-order weakly nonlinear analysis
Amplitude expansions are used to determine steady states of a semi-infinite solid subject to the Grinfeld instability in systems with a fixed (wave)length. We present two methods to obtain high-order weakly nonlinear results. Using the system size as a control parameter, we circumvent the problem that there is no instability threshold for an extended system in the absence of gravity. This way, the case without gravity becomes accessible to a weakly nonlinear treatment. The dependence of the branch structure of solution space on the level of gravity (or density difference) is exhibited. In the zero-gravity limit, we recover the solution branch obtained by Spencer and Meiron. A transition from a supercritical to a subcritical bifurcation is observed as gravity is increased or the nonhydrostatic stress is decreased at fixed gravity. At given values of the system parameters, we find a discrete, possibly infinite, set of solution branches. This is reminiscent of dendritic or eutectic growth, where similar solution sets exist, of which only a particular one is linearly stable. Despite the high order of our expansions, the approach is restricted to relatively small nondimensional amplitudes ($\lesssim 0.2$), a disadvantage we can overcome by a variational approach that will be discussed in a companion paper. At the critical point, we find that not only the first Landau coefficient is negative but all of them up to the highest amplitude order (15) we could compute so far.
Condensed Matter (cond-mat)
This article has been withdrawn by the authors. The authors determined that the results claimed were not as complete as originally thought, and the project has ended so no future work on this is planned
incomplete exposition or more work in progress
14,284
cond-mat/0212517v2
The magnetoresistive behavior of Cr-doped manganites Pr0.44Sr0.56MnO3
A complex structural, magnetic and electric transport investigation shows that the Cr doping on Mn sites in the A-type antiferromagnet Pr0.44Sr0.56MnO3 provokes a non-uniform magnetic state with coexisting FM and AFM regions. Irrespective of the ratio of magnetic phases, the samples exhibit a non-metallic behavior of resistivity and thermopower, pointing to the nanoscopic nature of the phase separation. A particularly large magnetoresistance encountered in a broad range of temperatures for samples with Cr doping of 4 - 6 % supports such idea.
Materials Science (cond-mat.mtrl-sci)
This paper has been withdrawn by the authors. J. Appl. Phys. 93, 8083 (2003)
reason not specified
14,285
cond-mat/0309041v2
Surface assembly and ultrafast operation of all-nanoscale resonant-tunneling transistors
Realization of a robust nanotube-heterostructure tunneling transistors [Solid State Comm. 116, p. 569 (2000)] requires the difficult formation [Science 293, p. 76 (2001)] of a central nanoscale barrier separating a pair of outside metallic leads. Here I suggest an alternative surface-based assembly based on self-organization of one-dimensional metallic states on oxides and trapping well-resolved resonant orbitals in a central island. I present and explain the (universal) transistor characteristics and robustness. In addition, I calculate typical the island/level-to-gate capacitance to predict ultrafast (beyond-THz) switching but also document a limited importance of Coulomb blockade effects in the (nanotube) resonant-tunneling transistors.
Condensed Matter (cond-mat)
10 pages, 3 figures This conference proceeding manuscript is withdrawn because it was never included in conference journal (which had technical errors and ended up in a single-round go/nogo evaluation step)
administrative or legal issues
14,286
cond-mat/0310441v2
Transport properties in Manganites
Transport properties in doped manganites are studied by considering the Simplified double exchange mechanism in the presence of diagonal disorder. It is modelled by a combination the Ising double exchange with Faliccov-Kimball model. In this model, charge order ferromagnetic and transport quantities are presented by using Dynamical mean-field theory in the case of finite Hund coupling and disorder strength. Those results suggest that, within this model the insulator phase can be stated in the range of below charge order temperature which is suitable with the observations in the experimental manganites.
Strongly Correlated Electrons (cond-mat.str-el)
This paper has been withdrawn by the author due to a crucial sign error in equation (13-15)
factual/methodological/other critical errors in manuscript
14,287
cond-mat/0401485v4
Generalized boundary condition, free energies of six-vertex models and fractal dimension
The structures of the configuration space of the six-vertex models with various boundaries and boundary conditions are investigated, and it is derived that the free energies depend on the boundary conditions, and that they are classified by the fractal structures. The "n-equivalences" of the boundary conditions are defined with a property that the models with n-equivalent boundary conditions result in the identical free energy. The configurations which satisfy the six-vertex restriction are classified, through the n-equivalences, into sets of configurations called islands. It is derived that each island shows a fractal structure when it is mapped to the real axis. Each free energy is expressed by the weighted fractal dimension (multi-fractal dimension) of the island. The fractal dimension of the island has a strict relation with the maximum eigenvalue of the corresponding block element of the transfer matrix. It is also found that the fractal dimensions of islands take the absolute maximum when the boundary is "alternative"; in this case, the free energy equals to the solution obtained by Lieb and Sutherland.
Statistical Mechanics (cond-mat.stat-mech)
This paper has been rewritten as the following three separate articles: cond-mat/0503192, cond-mat/0607513 and 0801.0186
subsumed by another publication
14,288
cond-mat/0402297v3
Unusual giant magnetostriction in the ferrimagnet Gd$_{2/3}$Ca$_{1/3}$MnO$_3$
We report an unusual giant linear magnetostrictive effect in the ferrimagnet Gd$_{2/3}$Ca$_{1/3}$MnO$_3$ ($T_{c} \approx$80 K). Remarkably, the magnetostriction, negative at high temperature ($T \approx T_{c}$), becomes positive below 15 K when the magnetization of the Gd sublattice overcomes the magnetization of the Mn sublattice. A rather simple model where the magnetic energy competes against the elastic energy gives a good account of the observed results and confirms that Gd plays a crucial role in this unusual observation. Unlike previous works in manganites where only striction associated with 3$d$ Mn orbitals is considered, our results show that the lanthanide 4$f$ orbitals related striction can be very important too and it cannot be disregarded.
Strongly Correlated Electrons (cond-mat.str-el)
the replacement was a mistake. The current paper will be upload by another co-author
administrative or legal issues
14,289
cond-mat/0403530v2
Nonequilibrium Dynamic Phase transitions in ferromagnetic systems: Some new phenomena
The nonequilibrium dynamic phase transition in ferromagnetic systems is reviewed. Very recent results of dynamic transition in kinetic Ising model and that in Heisenberg ferromagnet is discussed.
Statistical Mechanics (cond-mat.stat-mech)
24 pages Latex and 23 Postscript (gzipped) figures
reason not specified
14,290
cond-mat/0404160v2
Evidence of a Macroscopic-Flux Phase in an Asymmetric Quantum Well in a Tilted Quantizing Magnetic Field
We demonstrate experimentally that in an asymmetric quantum well in presence of quantizing magnetic field tilted in XZ plane, confining potential V(z) lifts Landau level degeneracy related to position of the centers of electron cyclotron orbits along X axis. This results in arising of specific bands in which directed velocity of electrons along Y axis may be nonzero. We directly demonstrate that the electrons' velocity is in a one-to-one correspondence with the position of the centers of their cyclotron orbits that means spatially separated macroscopic electron fluxes should flow in opposite directions along Y axis even in the fully occupied bands. One-dimensional character of these fluxes is also demonstrated experimentally.
Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
This paper has been withdrawn by the author because further experiments show incorrectness of the proposed interpretation.
factual/methodological/other critical errors in manuscript
14,291
cond-mat/0404352v2
Scaling dependence on time and distance in nonlinear fractional diffusion equations and possible applications to the water transport in soils
Recently, fractional derivatives have been employed to analyze various systems in engineering, physics, finance and hidrology. For instance, they have been used to investigate anomalous diffusion processes which are present in different physical systems like: amorphous semicondutors, polymers, composite heterogeneous films and porous media. They have also been used to calculate the heat load intensity change in blast furnace walls, to solve problems of control theory \ and dynamic problems of linear and nonlinear hereditary mechanics of solids. In this work, we investigate the scaling properties related to the nonlinear fractional diffusion equations and indicate the possibilities to the applications of these equations to simulate the water transport in unsaturated soils. Usually, the water transport in soils with anomalous diffusion, the dependence of concentration on time and distance may be expressed in term of a single variable given by $\lambda_q = x/t^{q}.$ In particular, for $q=1/2$ the systems obey Fick's law and Richards' equation for water transport. We show that a generalization of Richards' equation via fractional approach can incorporate the above property.
Soft Condensed Matter (cond-mat.soft)
The manuscript contains some errors
factual/methodological/other critical errors in manuscript
14,292
cond-mat/0404567v3
Berry phase caused by nondissipative drag of superflow in a Bose qubit
A microscopic theory of superfluid drag in a two-component Bose gas is developed. The drag factor is shown to be proportional to the square root of the gas parameter. Basing on the similarity between the drag force and vector potential of magnetic field we propose how the superfluid drag can be used to detect a Berry phase in a Bose counterpart of the Josephson charge qubit. We consider a system in which the drag component, situated inside the drive component, is confined in two half-ring traps separated by two Josephson barriers. Under cyclic adiabatic change of Josephson coupling parameters and an asymmetry of two traps a Berry phase is generated. This phase can be observed though measurements of relative number of atoms in two traps. The Berry phase depends on the drag factor and its detection can be used for determining the value of the drag.
Soft Condensed Matter (cond-mat.soft)
See arXiv:cond-mat/0506229
subsumed by another publication
14,293
cond-mat/0408263v2
An Agent-Based Algorithm for Detecting Community Structure in Networks
We present a simple stochastic agent-based community finding algorithm. Our algorithm is tested on network data from the Zachary karate club study, data from Victor Hugo's "Les Miserables", and data obtained from a musical piece by J.S. Bach. In all three cases, the algorithm partitions the vertices of the graph sensibly.
Disordered Systems and Neural Networks (cond-mat.dis-nn)
Report for a student project at the [REDACTED-NAME] [REDACTED-NAME] organized by the [REDACTED-NAME] Institute, 2004 - Withdrawn because the results are no longer relevant
not novel
14,294
cond-mat/0408381v2
Experimental Evidence of a Directed-Flux Phase of Condensed Matter
We demonstrate experimentally that in an asymmetric quantum well in presence of quantizing magnetic field tilted in XZ plane, confining potential V(z) lifts Landau level degeneracy related to position of the centers of electron cyclotron orbits along X axis. This results in a transformation of the Landau levels into the bands in which the electrons may possess nonzero directed velocity along Y axis. We directly demonstrate that the electrons are spatially separated along X axis depending on their velocity along Y axis that means spontaneous one-dimensional electron fluxes flow in opposite directions along Y axis even within the fully occupied bands. We also directly demonstrate that the electrons possess nonzero electric dipole moment as a result of Lorentz force effect on these one-dimensional fluxes. On the basis of these experiments we put forward the concept of a directed-flux phase of condensed matter.
Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
This paper has been withdrawn by the author because further experiments show incorrectness of the proposed interpretation.
factual/methodological/other critical errors in manuscript
14,295
cond-mat/0409539v2
High pressure behaviour of liquid GeO2: a molecular dynamics study
High pressure behaviour of liquid GeO2 is investigated by means of molecular dynamics simulations in the pressure range 0-20 GPa and at various temperatures. In agreement with the recent experiments (PRL, 92, 155506, 2004), Ge-O coordination increases under compression. For 1650 K, at ~11.5 GPa the structure becomes 6 coordinated with a discontinuous change in the density. The transition from the low density liquid (LDL) to high density liquid (HDL) is found to be reversible and the transition pressure increases with the temperature. At lower temperatures, the low density to high density transition is found to be continuous, but with the coexistence of two structures.
Materials Science (cond-mat.mtrl-sci)
This paper has been withdrawn by the authors. Updated version published
subsumed by another publication
14,296
cond-mat/0410115v3
Suppression of the anti-symmetry channel in the conductance of telescoped double-wall nanotubes
The conductance of telescoped double-wall nanotubes (TDWNTs) composed of two armchair nanotubes ($(n_O, n_O)$ and $(n_O-5, n_O-5)$ with $n_O \geq 10$) is calculated using the Landauer formula and a tight binding model. The results are in good agreement with the conductance calculated analytical by replacing each single-wall nanotube with a ladder, as expressed by $(2e^2/h)(T_+ + T_-)$, where $T_+$ and $T_-$ are the transmission rates of the symmetry and anti-symmetry channels, respectively. Perfect transmission in both channels is possible in this TDWNT when $n_O=10$, while $T_-$ is considerably small in the other TDWNTs. $T_-$ is particularly low when either $n_O$ or $n_O-5$ is a multiple of three. In this case, a three body effect of covalent-like interlayer bonds plays a crucial role in determining the finite $T_-$. When $n_O$ is a multiple of five, the five-fold symmetry increases $T_-$, although this effect diminishes with increasing $n_O$.
Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
Owing to errors of the calculation code, the numerical data shown in Figures are incorrect. Nonetheless, the corrected numerical calculations do not change the essential results. See erratum, PHYSICAL REVIEW B 79, 199902 (2009). The responsibility for the errors lies completely with the first author ([REDACTED-NAME])
factual/methodological/other critical errors in manuscript
14,297
cond-mat/0410271v2
A generalized Faddeev's axiom and the uniqueness theorem for Tsallis entropy
The uniequness theorem for the Tsallis entropy by introducing the generalized Faddeev's axiom is proven. Our result improves the recent result, the uniqueness theorem for Tsallis entropy by the generalized Shannon-Khinchin's axiom in \cite{Suy}, in the sence that our axiom is simpler than his one, as similar that Faddeev's axiom is simpler than Shannon-Khinchin's one.
Statistical Mechanics (cond-mat.stat-mech)
This paper has been withdrawn by the author. The contents were unified in cond-mat/0410270
subsumed by another publication
14,298
cond-mat/0502338v3
Scattering rate, transport and specific heat in a metal close to a quantum critical point : emergence of a robust Fermi liquid picture ?
We calculate the low temperature one-particle scattering rate and the specific heat in a weakly disordered metal close to a quantum critical point. To lowest order in the fluctuation potential, we obtain typical Fermi-liquid results proportional to T^2 and T respectively, with prefactors which diverge as a power law of the control parameter upon approaching the critical point. The Kadowaki-Woods ratio is shown to be independent of the control parameter only for the case of 3-D FM fluctuations. Our work is relevant for experiments on CeCoIn$_5$ and Sr_3Ru_2O_7.
Strongly Correlated Electrons (cond-mat.str-el)
Withdrawn in favour of the paper arXiv:1503.04611
subsumed by another publication
14,299
cond-mat/0503104v3
Structural anomalies associated with the electronic and spin transitions in LnCoO3
A powder X-ray diffraction study, combined with the magnetic susceptibility and electric transport measurements, was performed on a series of LnCoO3 perovskites (Ln = Y, Dy, Gd, Sm, Nd, Pr and La) over a temperature range 100 - 1000 K. A non-standard temperature dependence of the observed thermal expansion was modelled as a sum of three contributions: (1) Weighted sum of lattice expansions of the cobaltite in the diamagnetic low spin state and in the intermediate (IS) or high (HS) spin state. (2) An anomalous expansion due to the increasing population of excited (IS or HS) states of Co3+ ions at the course of the diamagnetic-paramagnetic transition. (3) An anomalous expansion due to excitations of Co3+ ions to another paramagnetic state accompanied by an insulator-metal transition. The anomalous expansion is governed by parameters that are found to vary linearly with the Ln ionic radius. In the case of the first magnetic transition it is the energy splitting E between the ground low spin state and the excited state, presumably the intermediate spin state. The energy splitting E, determined by a fit of magnetic susceptibility, decreases with temperature. The values of E determined for LaCoO3 and YCoO3 at T = 0 K as 164 K and 2875 K, respectively, fall to zero at T = 230 K for LaCoO3 and 860 K for YCoO3. The second anomalous expansion connected with a simultaneous magnetic and insulator-metal transition is characterized by its center at T = 535 K for LaCoO3 and 800 K for YCoO3. The change of the unit cell volume during each transition is independent on the Ln cation and is about 1% in both cases.
Materials Science (cond-mat.mtrl-sci)
This submission has been withdrawn by the authors
reason not specified
14,300
cond-mat/0505459v2
Immense tunnel magnetoresistance mediated by Coulomb blockade effect and current-driven magnetization reversal in Co clusters embedded in a TiO2 matrix
This article was withdrawn by the authors due to misinterpretation of experimental data.
Materials Science (cond-mat.mtrl-sci)
This paper has been withdrawn
reason not specified
14,301
cond-mat/0506739v3
Spin dependent non-tunneling transport in granular ferromagnet
This paper is withdrawn.
Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
This paper has been withdrawn by the authors. A thoroughly revised version has appeared in Phys. Rev. B
subsumed by another publication
14,302
cond-mat/0512643v2
Anisotropic Correlations in Epitaxial Iron Silicide: Contribution of Surface and Bulk States
Scanning tunneling microscopy
Strongly Correlated Electrons (cond-mat.str-el)
This paper has been withdrawn by the author
reason not specified
14,303
cond-mat/0603823v2
Consequences of negative differential electron mobility in insulated gate field effect transistors
We study the consequences of negative differential electron mobility in insulated gate field effect transistors (FETS) using the field model. We show that, in contrast to the case of the monotonic velocity saturation model, the field distributions in a short-channel FET may be described by the gradual channel approximation even for high drain-to-source voltages. The current-voltage dependence of the short-channel FET should have a branch with a negative slope. The FET exhibits a negative differential resistance and may show convective or absolute instability, depending on the applied voltages. The fluctuation growth is governed by the diffusion law with a negative effective diffusion coefficient.
Strongly Correlated Electrons (cond-mat.str-el)
not valuable
not novel
14,304
cond-mat/0604093v2
Dynamic critical phenomena in disordered systems with finite geometry
We study the critical dynamics of hyper-cubic finite size system in the presence of quenched short-range correlated disorder. By using the random $T_c$ model A for the critical dynamics and the renormalization group method in the vicinity of the upper critical dimension $d=4$, we derive in first order of $\epsilon$ the expression for the relaxation time. Its finite-size scaling behavior is discussed both analytically and numerically in details. This was made possible by analyzing carefully the finite--size effects on the Onsager kinetic coefficient. The obtained results are compared to those reported in the literature.
Disordered Systems and Neural Networks (cond-mat.dis-nn)
Major revisions were undertaken. The revised version was published in the [REDACTED-NAME] B [Phys. Rev. B 77 (2008) 184416].
subsumed by another publication
14,305
cond-mat/0606791v2
Room-temperature delayed giant magnetodielectric effects observed in Bi4Fe2TiO12 film
This letter reports our experimental results on magnetic-field-induced aftereffects in solution derived Bi4Fe2TiO12 film, in which e' decreases as much as 600 times after treated in a 5T magnetic field as that of the pristine one. The phenomena are explained by an unusual spin-orbital coupling in film, where strong magnetic field provides drive force for spin polarized electrons of electrode to enter film, so as to form a ferromagnetic orbital state, increase the relaxation time of defect dipoles and then produce giant magnetodielectric effects. This process is reversible just by applying a opposite 0.5T magnetic field. Our findings have potential applications on magnetic fabrication of nanopatterns somehow to evade nanohazard, as well as on integraged phononic or photonic crystals on chip.
Materials Science (cond-mat.mtrl-sci)
This explanation of the experimental data was not correct
factual/methodological/other critical errors in manuscript
14,306
cond-mat/0609142v2
Stability of Ferromagnetism in Hubbard models on two-dimensional line graphs
It is well known that the Hubbard model on a line graph has a flat band and ferromagnetic ground states in a certain density range. We show that for a Hubbard model on a line graph of a planar bipartite graph the ferromagnetic ground state is stable if one adds a special contribution to the kinetic energy which lifts the degeneracy of the lowest single particle state. Stability holds for sufficiently strong repulsion U. The model has extended single particle eigenstates, no degeneracy, and no band gap. It is therefore a good candidate for metallic ferromagnetism.
Strongly Correlated Electrons (cond-mat.str-el)
8 pages. To be published in J. Phys. A, Math. Gen
subsumed by another publication
14,307
cond-mat/0609339v4
What is the highest Tc for phonon mediated superconductivity?
We suggest that the high-temperature superconductivity is attributed to the director-roles of van Hove singularity between electron-electron interaction and electron-phonon interaction. Difference between the critical temperature and pairing temperature is presented, and the Fermi arc, d-wave symmetry and poor conductor etc are discussed. Particularly, non-s-wave symmetry is predicted to have the highest Tc for superconductors.
Superconductivity (cond-mat.supr-con)
Now we believe that the superconducting transition is not due to the BEC, thus we withdrawn this paper
factual/methodological/other critical errors in manuscript
14,308
cond-mat/0610817v4
3D Ising and other models from symplectic fermions
We study a model of N component symplectic fermions in D spacetime dimensions. It has an infra-red stable fixed point in 2<D<4 dimensions referred to as Sp{2N}{D}. Based on the comparison of exponents, we conjecture that the critical exponents for the 3D Wilson-Fisher fixed point for an O(N) invariant N-component bosonic field can be computed in the Sp{-2N}{3} theory. The 3D Ising model corresponds to Sp{-2}{3}. The exponent beta agrees with known results to 1 part in 1000 and is within current error bars. The nu exponent agrees to 1% and we suggest this because we only went to 1-loop for this exponent.
Statistical Mechanics (cond-mat.stat-mech)
This paper has been withdrawn by the author since further work did not lend more support to the conjecture, rather to the contrary
incomplete exposition or more work in progress
14,309
cond-mat/0701210v2
Toroidal-Moment-Possessing Quantum Hall Systems: a Quantum Intrusion into Macroscopic World
The face of physics is a function of scale. This widespread phrase is considered as a universal truth because it reflects the experience of generations of physicists. Starting from primary school we know that the physics of macroscopic solid state systems rests on the notion that these systems consist of a great number of spatially periodic microscopic building blocks. Thus, it seems to be quite logic to expect the same properties from geometrically identical macroscopic regions of the same macroscopic system. The above statement is quite general and it is also known to be valid for the systems of a reduced dimensionality in the direction, along which they are macroscopic. However, in this work we report on a macroscopic system, which does not obey the above postulates and demonstrates specific quantum behaviour on a macroscopic length. It is conventional quantum Hall system possessing an asymmetric confining potential in presence of a tilted quantizing magnetic field. In the direction, along which the system is macroscopic, it demonstrates the following unusual properties: (i) a spatially-dependent response on a spatially-homogeneous photo-excitation that implies spontaneous breaking of translational symmetry (ii) high sensitivity of a local photo-response to the conditions of macroscopically remote local regions (iii) excitation of whole system through the excitation of its local region without an appropriate energy transfer within the system. All these properties imply the electron coherent length to be as high as the macroscopic sample length. We demonstrate that the effect revealed opens the door for an energy-free quantum communication on macroscopic distances.
Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
This paper has been withdrawn by the author due to significant loopholes in the proposed interpretation.
factual/methodological/other critical errors in manuscript
14,310
cond-mat/0703473v3
Anomalous Scattering Extension to Interface Structure Determination COherent Bragg ROd Analysis (COBRA)
A method to include anomalous scattering in electron density modeling methods, specifically COBRA, is presented.
Materials Science (cond-mat.mtrl-sci)
Withdrawn due to limited applicability of method
factual/methodological/other critical errors in manuscript
14,311
cond-mat/0703772v2
Dynamical structure factor of random antiferromagnetic Heisenberg spin chains
Combining quantum Monte Carlo simulations with the maximum entropy method, we study the dynamical structure factor $S(k,\omega)$ of spin-1/2 antiferromagnetic Heisenberg chains with various random bond distributions. We emphasize the crossover behavior in the dynamical properties from pure chain to disorder-dominated random singlet phase due to bond randomness. For the distribution corresponding to the infinite randomness fixed point, $S(k,\omega)$ develops broad non-spinon excitations as well as the random-singlet peak near $(k, \omega) = (\pi, 0)$, consistent with the known results obtained by the real-space renormalization group method. For weak disorder, however, we find clear signature of spinon excitations, reminiscent of pure spin chains, blurred by disorder. We discuss the implication for experiments on random-bond antiferromagnetic spin chains, realizable, e.g., in BaCu$_2$(Si$_x$Ge$_{1-x}$)$_2$O$_7$.
Strongly Correlated Electrons (cond-mat.str-el)
The paper has been withdrawn by the author due to the crucial error in maximum entropy method calculation
factual/methodological/other critical errors in manuscript
14,312
cond-mat/9711190v2
Nonequilibrium Phase Transition in the Kinetic Ising model: Absence of tricritical behaviour in presence of impurities
The nonequilibrium dynamic phase transition, in the two dimensional site diluted kinetic Ising model in presence of an oscillating magnetic field, has been studied by Monte Carlo simulation. The projections of dynamical phase boundary (surface) are drawn in the planes formed by the dilution and field amplitude and the plane formed by temperature and field amplitude. The tricritical behaviour is found to be absent in this case.
Condensed Matter (cond-mat)
This paper is withdrawn due to some errors
factual/methodological/other critical errors in manuscript
14,313
cs/0312013v2
Fuzziness versus probability again
A construction of a fuzzy logic controller based on an analogy between fuzzy conditional rule of inference and marginal probability in terms of the conditional probability function has been proposed.
Logic in Computer Science (cs.LO)
Withdrawn by the author
reason not specified
14,314
cs/0407012v2
A Taxonomy and Survey of Grid Resource Planning and Reservation Systems for Grid Enabled Analysis Environment
The concept of coupling geographically distributed resources for solving large scale problems is becoming increasingly popular forming what is popularly called grid computing. Management of resources in the Grid environment becomes complex as the resources are geographically distributed, heterogeneous in nature and owned by different individuals and organizations each having their own resource management policies and different access and cost models. There have been many projects that have designed and implemented the resource management systems with a variety of architectures and services. In this paper we have presented the general requirements that a Resource Management system should satisfy. The taxonomy has also been defined based on which survey of resource management systems in different existing Grid projects has been conducted to identify the key areas where these systems lack the desired functionality.
Distributed, Parallel, and Cluster Computing (cs.DC)
This article was submitted in error in 2004. The author list is incorrect and the body of the paper should be attributed to another paper. We request withdrawal of the paper forthwith to avoid inconsistency in our records
administrative or legal issues
14,315
cs/0407019v2
Stochastic fuzzy controller
A standard approach to building a fuzzy controller based on stochastic logic uses binary random signals with an average (expected value of a random variable) in the range [0, 1]. A different approach is presented, founded on a representation of the membership functions with the probability density functions.
Hardware Architecture (cs.AR)
Withdrawn by the author
reason not specified
14,316
cs/0505029v2
Automated Improvement for Component Reuse
Software component reuse is the key to significant gains in productivity. However, the major problem is the lack of identifying and developing potentially reusable components. This paper concentrates on our approach to the development of reusable software components. A prototype tool has been developed, known as the Reuse Assessor and Improver System (RAIS) which can interactively identify, analyse, assess, and modify abstractions, attributes and architectures that support reuse. Practical and objective reuse guidelines are used to represent reuse knowledge and to do domain analysis. It takes existing components, provides systematic reuse assessment which is based on reuse advice and analysis, and produces components that are improved for reuse. Our work on guidelines has been extended to a large scale industrial application.
Software Engineering (cs.SE)
INFOCOMP Journal of [REDACTED-NAME]. This paper has been withdrawn due to journal politics
administrative or legal issues
14,317
cs/0505043v2
Estimacao Temporal da Deformacao entre Objectos utilizando uma Metodologia Fisica
In this paper, it is presented a methodology to estimate the deformation involved between two objects attending to its physical properties. This methodology can be used, for example, in Computational Vision or Computer Graphics applications, and consists in physically modeling the objects, by means of the Finite Elements Method, establishing correspondences between some of its data points, by using Modal Matching, and finally, determining the displacement field, that is the intermediate shapes, through the resolution of the Lagrange Dynamic Equilibrium Equation. As in many of the possible applications of the methodology to present, it is necessary to quantify the existing deformation, as well as to estimate only the non rigid component of the involved global deformation. The solutions adopted to satisfy such intentions will be also presented.
Graphics (cs.GR)
INFOCOMP Journal of [REDACTED-NAME]. This paper has been withdrawn due to journal politics
administrative or legal issues
14,318
cs/0509059v3
On an authentication scheme based on the Root Problem in the braid group
Lal and Chaturvedi proposed two authentication schemes based on the difficulty of the Root Problem in the braid group. We point out that the first scheme is not really as secure as the Root Problem, and describe an efficient way to crack it. The attack works for any group.
Cryptography and Security (cs.CR)
This paper has been withdrawn by the author. One of the claims is incorrect as written. We are working on correcting and generalizing it. This will be published in another paper
factual/methodological/other critical errors in manuscript
14,319
cs/0601132v2
A Study on the Global Convergence Time Complexity of Estimation of Distribution Algorithms
The Estimation of Distribution Algorithm is a new class of population based search methods in that a probabilistic model of individuals is estimated based on the high quality individuals and used to generate the new individuals. In this paper we compute 1) some upper bounds on the number of iterations required for global convergence of EDA 2) the exact number of iterations needed for EDA to converge to global optima.
Artificial Intelligence (cs.AI)
Old paper with potential mistake
factual/methodological/other critical errors in manuscript
14,320
cs/0603109v2
Encoding of Functions of Correlated Sources
This submission is being withdrawn due to serious errors in the achievability proofs. The reviewers of the journal I had submitted to had found errors back in 2006. I had forgotten about this paper until I saw the CFP for a JSAC issue on in-network computation. this http URL .
Information Theory (cs.IT)
This paper has been withdrawn
reason not specified
14,321
cs/0606100v3
The generating function of the polytope of transport matrices $U(r,c)$ as a positive semidefinite kernel of the marginals $r$ and $c$
This paper has been withdrawn by the author due to a crucial error in the proof of Lemma 5.
Machine Learning (cs.LG)
This paper has been withdrawn
reason not specified
14,322
cs/0606102v2
Toward Functionality Oriented Programming
The concept of functionality oriented programming is proposed, and some of its aspects are discussed, such as: (1) implementation independent basic types and generic collection types; (2) syntax requirements and recommendations for implementation independence; (3) unified documentation and code; (4) cross-module interface; and (5) cross-language program making scheme. A prototype example is given to demonstrate functionality oriented programming.
Programming Languages (cs.PL)
This paper has been withdrawn by the author. 21 Pages, 7 Figures
reason not specified
14,323
cs/0608037v3
Cascade hash tables: a series of multilevel double hashing schemes with O(1) worst case lookup time
In this paper, the author proposes a series of multilevel double hashing schemes called cascade hash tables. They use several levels of hash tables. In each table, we use the common double hashing scheme. Higher level hash tables work as fail-safes of lower level hash tables. By this strategy, it could effectively reduce collisions in hash insertion. Thus it gains a constant worst case lookup time with a relatively high load factor(70%-85%) in random experiments. Different parameters of cascade hash tables are tested.
Data Structures and Algorithms (cs.DS)
this manuscript is poorly written and contains little technical novelty
not novel
14,324
cs/0608085v2
A Quadratic Time-Space Tradeoff for Unrestricted Deterministic Decision Branching Programs
For a decision problem from coding theory, we prove a quadratic expected time-space tradeoff of the form $\eT\eS=\Omega(\tfrac{n^2}{q})$ for $q$-way deterministic decision branching programs, where $q\geq 2$. Here $\eT$ is the expected computation time and $\eS$ is the expected space, when all inputs are equally likely. This bound is to our knowledge, the first such to show an exponential size requirement whenever $\eT = O(n^2)$. Previous exponential size tradeoffs for Boolean decision branching programs were valid for time-restricted models with $T=o(n\log_2{n})$. Proving quadratic time-space tradeoffs for unrestricted time decision branching programs has been a major goal of recent research -- this goal has already been achieved for multiple-output branching programs two decades ago. We also show the first quadratic time-space tradeoffs for Boolean decision branching programs verifying circular convolution, matrix-vector multiplication and discrete Fourier transform. Furthermore, we demonstrate a constructive Boolean decision function which has a quadratic expected time-space tradeoff in the Boolean deterministic decision branching program model. When $q$ is a constant the tradeoff results derived here for decision functions verifying various functions are order-comparable to previously known tradeoff bounds for calculating the corresponding multiple-output functions.
Computational Complexity (cs.CC)
Withdrawn
reason not specified
14,325
cs/0610034v2
Postinal Determinacy of Games with Infinitely Many Priorities
We study two-player games of infinite duration that are played on finite or infinite game graphs. A winning strategy for such a game is positional if it only depends on the current position, and not on the history of the play. A game is positionally determined if, from each position, one of the two players has a positional winning strategy. The theory of such games is well studied for winning conditions that are defined in terms of a mapping that assigns to each position a priority from a finite set. Specifically, in Muller games the winner of a play is determined by the set of those priorities that have been seen infinitely often; an important special case are parity games where the least (or greatest) priority occurring infinitely often determines the winner. It is well-known that parity games are positionally determined whereas Muller games are determined via finite-memory strategies. In this paper, we extend this theory to the case of games with infinitely many priorities. Such games arise in several application areas, for instance in pushdown games with winning conditions depending on stack contents. For parity games there are several generalisations to the case of infinitely many priorities. While max-parity games over omega or min-parity games over larger ordinals than omega require strategies with infinite memory, we can prove that min-parity games with priorities in omega are positionally determined. Indeed, it turns out that the min-parity condition over omega is the only infinitary Muller condition that guarantees positional determinacy on all game graphs.
Logic in Computer Science (cs.LO)
This paper has been replaced due to a typo in the title
typos in manuscript
14,326
cs/0612019v6
On Finite Memory Universal Data Compression and Classification of Individual Sequences
Consider the case where consecutive blocks of N letters of a semi-infinite individual sequence X over a finite-alphabet are being compressed into binary sequences by some one-to-one mapping. No a-priori information about X is available at the encoder, which must therefore adopt a universal data-compression algorithm. It is known that if the universal LZ77 data compression algorithm is successively applied to N-blocks then the best error-free compression for the particular individual sequence X is achieved, as $N$ tends to infinity. The best possible compression that may be achieved by any universal data compression algorithm for finite N-blocks is discussed. It is demonstrated that context tree coding essentially achieves it. Next, consider a device called classifier (or discriminator) that observes an individual training sequence X. The classifier's task is to examine individual test sequences of length N and decide whether the test N-sequence has the same features as those that are captured by the training sequence X, or is sufficiently different, according to some appropriatecriterion. Here again, it is demonstrated that a particular universal context classifier with a storage-space complexity that is linear in N, is essentially optimal. This may contribute a theoretical "individual sequence" justification for the Probabilistic Suffix Tree (PST) approach in learning theory and in computational biology.
Information Theory (cs.IT)
The manuscrip was errneously replaced by a different one on a differnt topic, thus erasing the oricinal manuscript
administrative or legal issues
14,327