IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-18 DOI: 10.3390/e27090973

Sarra Manseri, Patrick Solé, Adel Alahmadi, Widyan Basaffar

引用次数: 0

Disorder at the Synapse: How the Active Inference Framework Unifies Competing Perspectives on Depression. 突触紊乱：主动推理框架如何统一抑郁症的竞争观点。

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-18 DOI: 10.3390/e27090970

Christopher G Davey, Paul B Badcock

{"title":"Disorder at the Synapse: How the Active Inference Framework Unifies Competing Perspectives on Depression.","authors":"Christopher G Davey, Paul B Badcock","doi":"10.3390/e27090970","DOIUrl":"10.3390/e27090970","url":null,"abstract":"Depression is one of the most disabling of all disorders across the community, yet many aspects of the disorder remain contentious. Psychosocial and biological perspectives are often placed in opposition to one another, which in part reflects a failure of our explanatory frameworks. The active inference account of brain function breaks down this dualism, demonstrating that bodily processes are deeply integrated with the social world. It shows us that there is no contradiction in understanding depression as a product of the social environment at the same time as having a brain basis and manifesting in biological symptoms. From an active inference perspective, depression can be thought of as a synaptopathy: a disorder that arises from alterations to the excitatory-inhibitory balance enacted at the synapse, reflecting the interoceptive precision-weightings that have changed in the context of psychosocial instability. Therapies that alleviate depressive symptoms act at different levels of the active inference framework to re-weight precision estimates and the confidence we have in our predictions: this is true for psychotherapies, lifestyle interventions and antidepressant medications. Their effectiveness is often only partial, and while different treatment modalities can complement one another, there is a need for continued development of new and better treatment options.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12469171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174323","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

Bounded Variation Separates Weak and Strong Average Lipschitz. 有界变差分离弱和强平均利普希茨。

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-18 DOI: 10.3390/e27090974

Ariel Elperin, Aryeh Kontorovich

引用次数: 0

Multi-UAV-Assisted ISAC System: Joint User Association, Trajectory Design, and Resource Allocation. 多无人机辅助ISAC系统：联合用户关联、轨迹设计和资源分配。

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-17 DOI: 10.3390/e27090967

Jinwei Wang, Renhui Xu, Laixian Peng, Xianglin Wei

{"title":"Multi-UAV-Assisted ISAC System: Joint User Association, Trajectory Design, and Resource Allocation.","authors":"Jinwei Wang, Renhui Xu, Laixian Peng, Xianglin Wei","doi":"10.3390/e27090967","DOIUrl":"10.3390/e27090967","url":null,"abstract":"Unmanned aerial vehicle (UAV)-assisted integrated sensing and communication (ISAC) systems have developed rapidly in the sixth generation (6G) era. However, factors such as the mobility of ground users and malicious jamming pose significant challenges to systems' performance and reliability. Against this backdrop, this paper designs a multi-UAV-assisted ISAC system model under malicious jamming environments. Under the constraint of sensing accuracy, the total communication rate of the system is maximized through joint optimization of user association, UAV trajectory, and transmit power. The problem is then decomposed into three subproblems, which are solved using the improved auction algorithm (IAA), dream optimization algorithm (DOA), and rapidly-exploring random trees-based optimizer algorithm (RRTOA). The global optimal solution is approached through the alternating optimization-based predictive scheduling algorithm (AOPSA). Meanwhile, this paper also introduces a long short-term memory (LSTM) network to predict users' dynamic positions, addressing the impact of user mobility and enhancing the system's real-time performance. Simulation results show that compared with the baseline scheme, the proposed algorithm achieves a 188% improvement in communication rate, which verifies its effectiveness and superiority.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12468963/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174075","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

Digital Economy and Green Development: Mechanisms of Action, Spillover Effects and Transmission Mechanisms. 数字经济与绿色发展：作用机制、溢出效应与传导机制。

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-17 DOI: 10.3390/e27090966

Xin Tong, Ke Li, Xuesen Li

{"title":"Digital Economy and Green Development: Mechanisms of Action, Spillover Effects and Transmission Mechanisms.","authors":"Xin Tong, Ke Li, Xuesen Li","doi":"10.3390/e27090966","DOIUrl":"10.3390/e27090966","url":null,"abstract":"The digital economy plays an important role in promoting green economic growth. This study evaluates the degree of green economic development generated by green innovation and green sharing based on data from 30 provinces in China from 2011 to 2022. An empirical analysis of the digital economy's influence on the growth of the green economy and its transmission mechanisms is performed. The analysis results demonstrate that the digital economy can significantly promote green economic development, encompassing improvements in both green innovation and green sharing, and exhibits a nonlinear \"increasing marginal effect\". The analysis of transmission channels reveals that, on one hand, the digital economy can promote green economic development by optimizing the allocation of data elements, while on the other, its impact is also influenced by the intensity of environmental regulations, exhibiting a threshold effect. Further heterogeneity analysis suggests that the promotional effect of the digital economy on green economic development is more pronounced in regions with high levels of economic development, a robust infrastructure, and strong policy support.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12469043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174224","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

Thermodynamics of Observations. 观察的热力学。

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-17 DOI: 10.3390/e27090968

Arno Keppens, Jean-Christopher Lambert

{"title":"Thermodynamics of Observations.","authors":"Arno Keppens, Jean-Christopher Lambert","doi":"10.3390/e27090968","DOIUrl":"10.3390/e27090968","url":null,"abstract":"This work demonstrates that the four laws of classical thermodynamics apply to the statistics of symmetric observation distributions, and provides examples of how this can be exploited in uncertainty assessments. First, an expression for the partition function Z is derived. In contrast with general classical thermodynamics, however, this can be performed without the need for variational calculus, while Z also equals the number of observations N directly. Apart from the partition function Z≡N as a scaling factor, three state variables m, n, and ϵ fully statistically characterize the observation distribution, corresponding to its expectation value, degrees of freedom, and random error, respectively. Each term in the first law of thermodynamics is then shown to be a variation on δm2=δ(nϵ)2 for both canonical (constant n and ϵ) and macro-canonical (constant ϵ) observation ensembles, while micro-canonical ensembles correspond to a single observation result bin having δm2=0. This view enables the improved fitting and combining of observation distributions, capturing both measurand variability and measurement precision.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12470234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174314","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

Information Dynamics of the Mother-Fetus System Using Kolmogorov-Sinai Entropy Derived from Heart Sounds: A Longitudinal Study from Early Pregnancy to Postpartum. 利用心音衍生的Kolmogorov-Sinai熵的母婴系统信息动态：一项从妊娠早期到产后的纵向研究。

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-17 DOI: 10.3390/e27090969

Sayuri Ishiyama, Takashi Tahara, Hiroaki Iwanaga, Kazutomo Ohashi

{"title":"Information Dynamics of the Mother-Fetus System Using Kolmogorov-Sinai Entropy Derived from Heart Sounds: A Longitudinal Study from Early Pregnancy to Postpartum.","authors":"Sayuri Ishiyama, Takashi Tahara, Hiroaki Iwanaga, Kazutomo Ohashi","doi":"10.3390/e27090969","DOIUrl":"10.3390/e27090969","url":null,"abstract":"Kolmogorov-Sinai (KS) entropy is an indicator of the chaotic behavior of entire systems from an information-theoretic viewpoint. Here, we used KS entropy values derived from the heart sounds of four fetus-mother pairs to identify the changes in fetal and maternal informational patterns during the four phases of pregnancy (early, mid, late, and postnatal). Time-series data of the heart sounds were reconstructed in a five-dimensional phase space to obtain the Lyapunov spectrum, and KS entropy was calculated. Statistical analyses were then conducted separately for the fetus and mother for the four phases of pregnancy. The fetal KS entropy significantly increased from early pregnancy to the postnatal period (0.054 ± 0.007 vs. 0.097 ± 0.007; p < 0.001), whereas the maternal KS entropy decreased in late pregnancy and then significantly increased after birth (0.098 ± 0.002 vs. 0.133 ± 0.003; p < 0.001). The increase in KS entropy with the course of fetal gestation reflects an increase in information generation and adaptive capacity during the developmental process. Thus, changes in maternal KS entropy play a dual role, temporarily enhancing physiological stability to support fetal development and helping to rebuild the mother's own adaptive capacity in the postpartum period.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12469049/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174459","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

SE-MSLC: Semantic Entropy-Driven Keyword Analysis and Multi-Stage Logical Combination Recall for Search Engine. 语义熵驱动的关键词分析与搜索引擎多阶段逻辑组合召回。

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-16 DOI: 10.3390/e27090961

Haihua Lu, Liang Yu, Yantao He, Liwei Tian

{"title":"SE-MSLC: Semantic Entropy-Driven Keyword Analysis and Multi-Stage Logical Combination Recall for Search Engine.","authors":"Haihua Lu, Liang Yu, Yantao He, Liwei Tian","doi":"10.3390/e27090961","DOIUrl":"10.3390/e27090961","url":null,"abstract":"Information retrieval serves as a critical methodology for accurately and efficiently obtaining the required information from massive amounts of data. In this paper, we propose an information retrieval framework (SE-MSLC) that utilizes information theory to improve the retrieval effectiveness of inverted index retrieval, thus achieving higher-quality retrieval results in intelligent vertical domain search engines. First, we propose a semantic entropy-driven keyword importance analysis method (SE-KIA) in the query understanding module. This method combines search query logs, the corpus of the search engine, and the theory of semantic entropy, enabling the search engine to dynamically adjust the weights of query keywords, thereby improving its ability to recognize user intent. Then, we propose a hybrid recall strategy that combines a multi-stage strategy and a logical combination strategy (HRS-MSLC) in the recall module. It separately recalls the keywords obtained from the multi-granularity word segmentation of the query in the form of multi-queue recall and simultaneously considers the \"AND\" and \"OR\" logical relationships between the keywords. By systematically managing retrieval uncertainty and giving priority to the keywords with high information content, it achieves the best balance between the quantity of the retrieval results and the relevance of the retrieval results to the query. Finally, we experimentally evaluate our methods using the Hit Rate@K and case analysis. Our results demonstrate that the proposed method improves the Hit Rate@1 by 7.3% and the Hit Rate@3 by 6.6% while effectively solving the bad cases in our vertical domain search engine.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12468705/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174349","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

Healthcare Expenditure and COVID-19 in Europe: Correlation, Entropy, and Functional Data Analysis-Based Prediction of Hospitalizations and ICU Admissions. 欧洲医疗保健支出与COVID-19：基于住院和ICU入院预测的相关性、熵和功能数据分析

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-16 DOI: 10.3390/e27090962

Patrycja Hęćka, Wiktor Ejsmont, Marek Biernacki

引用次数: 0

Multi-Dimensional Quantum-like Resources from Complex Synchronized Networks. 复杂同步网络中的多维类量子资源。

IF 2 3区物理与天体物理

Entropy Pub Date : 2025-09-16 DOI: 10.3390/e27090963

Debadrita Saha, Gregory D Scholes

引用次数: 0

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