Entropy最新文献 - Book学术

A Sequential Design for Extreme Quantile Estimation Under Binary Sampling. 二值抽样下极值分位数估计的序列设计。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-21 DOI: 10.3390/e28040479

Michel Broniatowski, Emilie Miranda

引用次数: 0

VeriFed: Temporally Consistent Continuous Cross-Chain Data Federation. 已验证：暂时一致的连续跨链数据联合。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-21 DOI: 10.3390/e28040478

Kun Hao, Meng Bi, Yuliang Ma

{"title":"VeriFed: Temporally Consistent Continuous Cross-Chain Data Federation.","authors":"Kun Hao, Meng Bi, Yuliang Ma","doi":"10.3390/e28040478","DOIUrl":"10.3390/e28040478","url":null,"abstract":"Cross-chain analytics increasingly demand continuous joins across ledgers with asynchronous state evolution. Existing solutions, however, typically assume static snapshots or neglect temporal alignment, yielding semantically inconsistent results when epochs drift. This paper introduces VeriFed, a system for temporally consistent continuous cross-chain joins. We formalize the problem of snapshot-aligned continuous joins, design a Unified Adapter Layer (UAL) to align finalized snapshots across heterogeneous protocols, and develop incremental verification that composes per-chain proofs into a global summary via the Epoch Attestation Mesh (EAM) and the Delta-Linked Proof Forest (DLPF). To sustain high-throughput execution, VeriFed further adopts an incremental multi-objective optimizer that balances latency and monetary cost. Experiments on Ethereum transaction data with a simulated wide-area network (WAN) demonstrate that VeriFed achieves sub-second per-epoch latency (approx. 38 ms) and reduces verification overhead by orders of magnitude compared to state-of-the-art baselines, while effectively detecting tampering with zero false positives. These results confirm consistent efficiency and verifiability under continuous updates.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"28 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13114699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147812085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Discrete Informational Framework for Classical Gravity: Ledger Foundations and Galaxy Rotation Curve Constraints. 经典引力的离散信息框架：分类帐基础和星系旋转曲线约束。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-20 DOI: 10.3390/e28040477

Megan Simons, Elshad Allahyarov, Jonathan Washburn

{"title":"A Discrete Informational Framework for Classical Gravity: Ledger Foundations and Galaxy Rotation Curve Constraints.","authors":"Megan Simons, Elshad Allahyarov, Jonathan Washburn","doi":"10.3390/e28040477","DOIUrl":"10.3390/e28040477","url":null,"abstract":"The weak-field, quasi-static regime of gravity is commonly described by the Newton-Poisson equation as an effective response law. We construct this response within a cost-first discrete variational framework. The Recognition Composition Law (RCL) uniquely selects a reciprocal closure cost within the restricted quadratic symmetric composition class; together with the discrete ledger axioms AX1-AX5 (including conservation) and standard DEC refinement, the Newton-Poisson baseline is then recovered in the instantaneous-closure limit. Conditional on Assumption AS1 (scale-free latency) and Assumption AS2 (causal frequency-wavenumber ansatz), allowing finite equilibration introduces fractional memory into the response, yielding a scale-free modification of the source-potential relation characterized by a power-law kernel wker(k)=1+C(k0/k)α in Fourier space. The kernel exponent α=12(1-φ-1)≈0.191, where φ=(1+5)/2, is derived from self-similarity of the discrete ledger closure; the amplitude C=φ-2≈0.382 is identified as a hypothesis from a three-channel factorization argument. We evaluate this quasi-static kernel-motivated response against SPARC galaxy rotation curves under a strict global-only protocol (fixed M/L=1, no per-galaxy tuning, conservative σtot), using a controlled multiplicative surrogate for the full nonlocal disk operator implied by the kernel. In this deliberately over-constrained setting, the surrogate interface achieves median(χ2/N)=3.06 over 147 galaxies (2933 points), outperforming a strict global-only NFW benchmark and remaining less efficient than MOND under identical constraints. The analysis is restricted to the non-relativistic, quasi-static sector and should be read as a falsifier-oriented galactic-regime consistency check of the scaling window, not as a relativistic completion or a claim of Solar System viability without additional UV regularization/screening.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"28 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13115379/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147812120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and Dynamic Analysis of Trust Decay in Social Media Based on Triadic Closure Structure. 基于三元闭包结构的社交媒体信任衰减建模与动态分析。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-20 DOI: 10.3390/e28040468

Yao Qu, Changjing Wang, Qi Tian

{"title":"Modeling and Dynamic Analysis of Trust Decay in Social Media Based on Triadic Closure Structure.","authors":"Yao Qu, Changjing Wang, Qi Tian","doi":"10.3390/e28040468","DOIUrl":"10.3390/e28040468","url":null,"abstract":"Trust decay in social media is a serious threat to user experience and platform ecology. To solve this problem, this paper focuses on triadic closure in the infrastructure of social networks and explores its mechanism in trust decay prevention. Based on the systematic comparison of the ER random graph, the BA scale-free network, a forest fire model, and complete graph approaches, two core metrics, the trust decay risk index and trust resilience index, are proposed in this paper. Combined with structural indices such as the clustering coefficient, the average path length, and the triangular closure number and its growth rate, the quantitative relationship between network structure evolution and trust decay risk is established. It is found that the forest fire model exhibits optimal trust resilience in structure due to its power-law growth characteristics of high clustering, short path length and triangular closure; the dynamic mechanism of trust decay under different network growth modes is significantly different. The validity of the theoretical framework is further supported by the verification of Sina Weibo attention relationship network data. The analysis framework of network growth evolution based on fusion triangle closure and the risk and resilience indicators defined in this paper provides a computable theoretical tool for understanding and predicting trust evolution in social media from the perspective of network structure.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"28 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13114998/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147812347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Simple Understanding of Quantum Electrodynamics Using Bohmian Trajectories: Detecting Non-Ontic Photons. 利用波西米亚轨迹对量子电动力学的简单理解：探测非光子。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-20 DOI: 10.3390/e28040474

Juan José Seoane, Abdelilah Benali, Xavier Oriols

{"title":"A Simple Understanding of Quantum Electrodynamics Using Bohmian Trajectories: Detecting Non-Ontic Photons.","authors":"Juan José Seoane, Abdelilah Benali, Xavier Oriols","doi":"10.3390/e28040474","DOIUrl":"10.3390/e28040474","url":null,"abstract":"The use of Bohmian mechanics as a practical tool for modeling non-relativistic quantum phenomena of matter provides clear evidence of its success, not only as a way to interpret the foundations of quantum mechanics, but also as a computational framework. In the literature, it is frequently argued that such a realistic view-based on deterministic trajectories-cannot account for phenomena involving the \"creation\" and \"annihilation\" of photons. In this paper, by revisiting and rehabilitating earlier proposals, we show how quantum optics can be modeled using Bohmian trajectories for electrons in physical space, together with well-defined electromagnetic fields evolving in time. By paying special attention to an experimental scenario demonstrating partition noise for photons, and to how the Born rule emerges in this context, the paper pursues two main goals. First, it validates the use of this simple Bohmian framework for pedagogical and computational purposes in understanding and visualizing quantum electrodynamics phenomena. Second, given that measurements are ultimately indicated on matter pointers, it clarifies what it means to measure photon or electromagnetic-field properties, even when they are considered non-ontic elements.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"28 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13114591/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147812379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Rényi Entropy and Entropic Cosmology. 熵与熵宇宙学。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-20 DOI: 10.3390/e28040467

S I Kruglov

引用次数: 0

Fragmentation of Nuclear Remnants in Electron-Nucleus Collisions at High Energy as a Nonextensive Process. 高能电子-核碰撞中残核碎片的非扩展过程。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-20 DOI: 10.3390/e28040470

Ting-Ting Duan, Sahanaa Büriechin, Hai-Ling Lao, Fu-Hu Liu, Khusniddin K Olimov

引用次数: 0

An Entropy-Based Framework for Hybrid Coalitions in Game Theory-Part I: Human Arbitration. 博弈论中基于熵的混合联盟框架——第一部分：人的仲裁。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-20 DOI: 10.3390/e28040473

Salomé A Sepúlveda-Fontaine, José M Amigó

引用次数: 0

Causally Informative Entropic Inequalities within Families of Distributions with Shared Marginals. 共享边际分布族内的因果信息熵不等式。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-20 DOI: 10.3390/e28040472

Daniel Chicharro

{"title":"Causally Informative Entropic Inequalities within Families of Distributions with Shared Marginals.","authors":"Daniel Chicharro","doi":"10.3390/e28040472","DOIUrl":"10.3390/e28040472","url":null,"abstract":"The joint probability distribution of observable variables from a system is constrained by the underlying causal structure. In the presence of hidden variables, untestable independencies that involve hidden variables lead to testable causally-imposed inequality constraints for observable variables, whose violation can reject the compatibility of a causal structure with data. One type of causally informative inequalities is entropic inequalities, which appear in the space of entropic terms associated with the distribution of observable variables. We derive a new type of minimum information (minInf) entropic inequalities that substantially increases causal inference power. These new entropic inequalities appear when considering the constraints that the causal structure imposes on entropic terms determined by information minimization within families of distributions that preserve sets of marginals shared with the original distribution. We introduce a new family of minInf data processing inequalities and a procedure to recursively combine different types of data processing inequalities to create tighter testable entropic inequalities. We extensively illustrate the applicability of this procedure in the instrumental causal scenario, integrating the new inequalities with standard instrumental entropic inequalities constructed with multivariate instrumental sets. We also provide additional examples with other types of entropic inequalities, such as the Information Causality and Groups-Decomposition inequalities.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"28 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13114625/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147812531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MFAFENet: A Multi-Sensor Collaborative and Multi-Scale Feature Information Adaptive Fusion Network for Spindle Rotational Error Classification in CNC Machine Tools. MFAFENet：用于数控机床主轴旋转误差分类的多传感器协同多尺度特征信息自适应融合网络。

IF 2 3区物理与天体物理

Entropy Pub Date : 2026-04-20 DOI: 10.3390/e28040475

Fei Wang, Lin Song, Pengfei Wang, Ping Deng, Tianwei Lan

{"title":"MFAFENet: A Multi-Sensor Collaborative and Multi-Scale Feature Information Adaptive Fusion Network for Spindle Rotational Error Classification in CNC Machine Tools.","authors":"Fei Wang, Lin Song, Pengfei Wang, Ping Deng, Tianwei Lan","doi":"10.3390/e28040475","DOIUrl":"10.3390/e28040475","url":null,"abstract":"Accurate classification of spindle rotational errors is critical for ensuring machining precision and operational reliability of CNC machine tools. However, existing methods face challenges in extracting discriminative feature information from vibration signals due to small inter-class differences and complex electromechanical interference. This paper proposes a novel deep learning model, MFAFENet, based on multi-sensor collaboration and multi-scale feature information adaptive fusion. Vibration signals from three mounting positions are transformed into time-frequency information representations via Short-time Fourier Transform. The proposed network adaptively fuses multi-scale feature information from parallel branches with different kernel sizes through a branch attention mechanism. An efficient channel attention module is then incorporated to recalibrate channel-wise feature responses. The cross-entropy loss function is employed to optimize the network parameters during training. Experiments on a spindle reliability test bench demonstrate that MFAFENet achieves 93.37% average test accuracy, outperforming other comparative methods. Ablation and comparative studies confirm the effectiveness of each module and the clear advantage of adaptive fusion over fixed-weight multi-scale methods. Multi-sensor fusion further improves accuracy by 7.23% over the best single-sensor setup. The proposed method establishes an effective end-to-end mapping between vibration signals and rotational errors, providing a promising solution for high-precision spindle condition monitoring.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"28 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13114703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147812342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0