kMoL: an open-source machine and federated learning library for drug discovery by Romeo Cozac, Haris Hasic, Jun Jin Choong, Vincent Richard, Loic Beheshti, Cyrille Froehlich, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Hiroaki Iwata, Aki Hasegawa, Takao Otsuka, Yasushi Okuno

“…Abstract Machine learning is quickly becoming integral to drug discovery pipelines, particularly quantitative structure-activity relationship (QSAR) and absorption, distribution, metabolism, and excretion (ADME) tasks. …”
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AI Reasoning in Deep Learning Era: From Symbolic AI to Neural–Symbolic AI by Baoyu Liang, Yuchen Wang, Chao Tong

“…Beyond a historical narrative, we introduce a formal definition of AI reasoning and propose a novel three-dimensional taxonomy that organizes reasoning paradigms by representation form, task structure, and application context. We then systematically review recent advances—including Differentiable Logic Programming, abductive learning, program induction, logic-aware Transformers, and LLM-based symbolic planning—highlighting their technical mechanisms, capabilities, and limitations. …”
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The Paradox of Inclusion: Non-Binary Equity, Diversity, and Inclusion Work in a Dualistic World by Patrick Goh, Lucy Aphramor, Candis Mary-Dauphin

“…We argue that modernist frameworks oversimplify complex social realities, obscure systemic harm and trauma, and reinforce hierarchical structures rooted in coloniality and white supremacy. …”
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On the Reformulated Second Zagreb Index of Graph Operations by Durbar Maji, Ganesh Ghorai, Yaé Ulrich Gaba

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Analysis of algorithmic problems solved in Olympiads: stands of students and experts by Jonas Blonskis, Valentina Dagienė, Kostas Plukas

“…Methods of solving problems are discussed from mathematical and programming perspectives. The main attention is paid to selection, development and application of proper data structures. …”
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<i>Synthesis of control algorithms on-board information and control systems of aircraft </i><i>at the minimum criterion of accesses to local memory</i> by N. S. Akinshin, E. A. Staroguk

“…Formalized the problem of choosing a set of programs to implement many of the algorithms and optimizing the structure of the local memory that belong to the class of problems of discrete programming with pseudoboolean variables. …”
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Machine learning applications for chloride ingress prediction in concrete: insights from recent literature by Quynh-Chau Truong, Anh-Thu Nguyen Vu

“…This review explores recent ML advancements in assessing corrosion in RC structures. Various algorithms, such as Artificial Neural Networks (ANNs), Gene Expression Programming (GEP), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM) and Ensemble Learning, have shown potential in estimating corrosion processes, predicting material properties, and evaluating structural durability. …”
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Features of the magnetorefractive effect in Co–Si nanocomposites by A. N. Yurasov, R. Kulgunina, M. M. Yashin, M. A. Simdyanova

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MATHEMATICAL MODELING OF FLOW PARAMETERS FOR SINGLE WIND TURBINE by S. V. Strijhak

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Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints by Ayşegül Ilay Tunalı, Robert Kuku Fotock, Alessio Zappone, Giorgio Taricco, Giuseppa Alfano, Hakan Ali Çırpan

“…Abstract This work develops two radio resource allocation algorithms to optimize the energy efficiency of a multiple-input multiple-output (MIMO) communication system where a metasurface is deployed near the transmit antenna array to create a reconfigurable holographic beamforming structure. The design involves jointly optimizing the transmit covariance matrix and the reflection coefficients of the reconfigurable holographic surface (RHS). …”
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Optimization of regular expressions using competitive coevolutionary algorithm based on symbolic regression by Demidova Liliya, Moroshkin Nikita

“…The paper presents an algorithm for optimizing the structure of regular expressions of the Python programming language dialect of the re module. …”
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A Quantum Framework for Combinatorial Optimization Problem over Graphs by Meng Shi, Sai Wu, Ying Li, Gongsheng Yuan, Chang Yao, Gang Chen

“…Our framework provides APIs (application programming interfaces) that enable developers to encode weighted graph structures onto quantum circuits and utilize variational algorithms to generate approximate solutions. …”
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Reinforcement learning or active inference? by Karl J Friston, Jean Daunizeau, Stefan J Kiebel

“…Such agents learn causal structure in the environment and sample it in an adaptive and self-supervised fashion. …”
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Disposizioni e proposte nel campo della programmazione e della realizzazione del Sistema Integrato dei Servizi e degli Interventi sociali e socio-sanitari in Campania by Antonina Mammì

“…Since 2012, the Regional Law N. 15, "Measures for the simplification, the expansion and modernization of the integrated system of regional welfare and services for the non-self-sufficiency", disciplines the rules, condi-tions, subjective and structural requirements, the quality criteria for such approval insti-tutes, accreditation and supervision of structures and persons responsible for the operation and provision of interventions and services integrated system. …”
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Pushing forward: Understanding physical activity in adults with medical complexity by Valerie Perkoski, Ph.D., RD, Mary Shotwell, Ph.D., OTR/L, FAOTA, NBC-HWC, Charlotte Chatto, PT, Ph.D., NCS, Judy Chandler, Ph.D.

“…The 5 most prevalent barriers to PA were (1) building, outdoor, and transportation inaccessibility, (2) necessity of education on needs and opportunities for PA, (3) diagnosis, bodily structure, weakness, or pain in adults with SPIDs/MIs, (4) lack of competitive billing structure to support PA programs or clinician reimbursement, and (5) lack of HCBS education and support. …”
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An engineering practical three-dimensional sliding cable element by Binlin Xu, Gen He, Fanbo Guo

“…It improves the computational accuracy of continuous cable structures and enhances the computational efficiency compared to other programming.…”
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The Hybrid Modern Network Model: A Multi-Technique Framework for Comprehensive Network Analysis by Theodoros Kyriazos, Mary Poga

“…The methods employed involve constructing initial network structures using SBM, simulating network growth through preferential Attachment, learning node embeddings with GNNs, dynamically optimizing network properties using RL, capturing hierarchical community structures with HRGs, controlling degree distributions using GANs, and uncovering latent patterns with VAEs. …”
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A Digital Analysis of the “L”-Shaped Tujia Dwellings in Southeast Chongqing Based on Shape Grammar by Quan Wen, Yuqi Zhao, Xianwen Huang, Gang Wang

“…This paper takes advantage of its ability to analyze and refine rules, and based on the rich Tujia architectural material library, it summarizes the corpus and refines the grammatical rules of “Generation of the main structure framework”, “Roof truss conversion and support”, “Side houses and stilted structures”, and “Cantilevered elements and corners” into four dimensions, along with many detailed grammars. …”
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Recursive-Parallel Algorithm for Solving the Maximum Common Subgraph Problem by Vladimir V. Vasilchikov

“…Its solution may be required when solving many practical problems related to the study of complex structures. We solve it in a statement when we need to find all possible isomorphisms of the found common subgraph. …”
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Road mitigation is a demographic filter for grizzly bears by Adam T. Ford, Mirjam Barrueto, Anthony P. Clevenger

“…Using data on grizzly bear (Ursus arctos) movement in Banff National Park (AB, Canada), we focused on selection by family groups (adult females travelling with young) and singleton (adult male or female) bears for 5 crossing structure designs distributed among 44 sites. Using data from the world's longest running monitoring program (1997–2014) on wildlife crossing structure use, we created an economic model to estimate demographic‐specific cost‐effectiveness for each crossing structure design. …”
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