Machine learning prediction of interfacial bond strength of FRP bars with different surface characteristics to concrete by Lingyu Tian, Luchen Wang, Guijun Xian

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Efficiency of Thermoremanent Magnetization Acquisition in Vortex‐State Particle Assemblies by U. D. Bellon, W. Williams, A. R. Muxworthy, G. F. Souza‐Junior, L. Nagy, L. Uieda, R. I. F. Trindade

“…While traditionally interpreted via Neél's single‐domain theory, most particles exist in a vortex state, where complex magnetic structures require numerical modeling. …”
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Nomological Deductive Reasoning for Trustworthy, Human-Readable, and Actionable AI Outputs by Gedeon Hakizimana, Agapito Ledezma Espino

“…While recent explainable AI (XAI) methods—particularly those leveraging large language models—have enhanced output readability, they often lack traceable and verifiable reasoning that is aligned with domain-specific logic. …”
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Let’s Practice Better... on Cats: Description and Visualisation of Artistic Images in Generative AI Models by Ruslan Khandogin, Nina S. Proner

“…The article can be useful to anyone interested in the substance and specificity of digital art, the relationship between technological innovations and socio-cultural context, the creation and visualisation of artistic images in generative AI models, their conceptualisation and interpretation.…”
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A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling by N. N. T. Huynh, P.-A. Garambois, B. Renard, F. Colleoni, J. Monnier, H. Roux

“…The first dataset involves 235 catchments in France, used for local calibration–validation and model structure comparisons between the classical Génie Rural (GR)-like model and the hybrid approach. …”
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Media ownership and institutional trust in media: conceptual clarification and a model of relationship by Mariia Aleksevych

“…On the other hand, it could indicate ownership-related performance issues, if carefully modelled and interpreted. In the result of the discussion of the relevant literature, a model of relationship is offered. …”
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Large language model powered knowledge graph construction for mental health exploration by Shan Gao, Kaixian Yu, Yue Yang, Sheng Yu, Chenglong Shi, Xueqin Wang, Niansheng Tang, Hongtu Zhu

“…MDKG comprises over 10 million relations, including nearly 1 million novel associations absent from existing resources. By structurally encoding contextual features such as conditionality, demographic factors, and co-occurring clinical attributes, the graph enables more nuanced interpretation and rapid expert validation, reducing evaluation time by up to 70%. …”
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Dynamic Prompt-Based Framework for Pragmatic Quality Improvement in Business Process Models by Sarah Ayad, Fatimah Alsayoud

“…The framework integrates contextual information extracted from BPMN models to construct structured prompts, ensuring that the generated labels are semantically precise and compliant with BPMN labeling conventions. …”
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Efficient knowledge graph to text powered by LLGM: linear latent graph model by Xiaokang Zhao, Yao Zheng, Yubo Shan, Jingyuan Li, Kun Zhang, Yuanzhuo Wang

“…Abstract Knowledge graph to text generation is crucial for interpreting complex structured data, yet state-of-the-art transformer models face significant computational burdens, limiting their practical deployment. …”
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Non-communicable disease burden through adhering to Dutch dietary guidelines: a modeling study to estimate future reductionsResearch in context by Ming-Jie Duan, Maartje P. Poelman, Sander Biesbroek

“…Eliminating processed meat could increase life expectancy at age 50 by 0.310 (95% UI: 0.181, 0.453) years for women and 0.724 (95% UI: 0.398, 1.092) years for men, and disease-free life expectancy by 1.554 (95% UI: 1.032, 2.189) years for women and 2.494 (95% UI: 1.627, 3.504) years for men. Interpretation: Our model suggests that adhering to Dutch dietary guidelines could reduce future NCD burden in the Netherlands. …”
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Half-line kink scattering in the ϕ 4 model with Dirichlet boundary conditions by Jairo S. Santos, Fabiano C. Simas, Adalto R. Gomes

“…The simulations reveal a rich variety of phenomena in the field dynamics, such as the formation of a kink-antikink pair, the generation of oscillons by the boundary perturbations, and the interaction between these objects and the boundary, which causes the emergence of boundary-induced resonant scatterings (for example, oscillon-boundary bound states and kink generation by oscillon-boundary collision) founded into complex fractal structures. Linear perturbation analysis was applied to interpret some aspects of the scattering process. …”
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Equivalent Viscous Damping Ratio Model for Flexure Critical Reinforced Concrete Columns by Qin Zhang, Zong-yan Wei, Jin-xin Gong, Ping Yu, Yan-qing Zhang

“…The analytical results are also compared with the results obtained by other models, which indicate that the proposed model is more general and rational in predicting energy dissipation capacity of flexure critical RC structures subjected to earthquake excitations.…”
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THE ROLE OF EDUCATIONAL COMPLEXES IN THE IMPLEMENTATION OF THE PARTNERSHIP MODEL FORMATION OF THE NATIONAL QUALIFICATIONS FRAMEWORK by Kristina V. Gileva, Oksana L. Safronova, Ksenia V. Solousova

“…In this connection various forms of partnership of the given complexes with public authorities, public structures, and also employers are described.Scientific novelty. …”
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Deriving equivalent symbol-based decision models from feedforward neural networks by Sebastian Seidel, Uwe M. Borghoff

“…This work explores the intersection of connectionist and symbolic approaches to artificial intelligence, focusing on the derivation of interpretable symbolic models, such as decision trees, from feedforward neural networks (FNNs). …”
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Generative artificial intelligence based models optimization towards molecule design enhancement by Tarek Khater, Sara Awni Alkhatib, Aamna AlShehhi, Charalampos Pitsalidis, Anna Maria Pappa, Son Tung Ngo, Vincent Chan, Vi Khanh Truong

“…Abstract Generative artificial intelligence (GenAI) models have emerged as a transformative tool for addressing the complex challenges of drug discovery, enabling the design of structurally diverse, chemically valid, and functionally relevant molecules. …”
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Matching Game Preferences Through Dialogical Large Language Models: A Perspective by Renaud Fabre, Daniel Egret, Patrice Bellot

“…We present the conceptual perspective of “Matching Game Preferences through Dialogical Large Language Models (D-LLMs),” a proposed system that would allow multiple users to share their different preferences through structured conversations. …”
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PELM: A Deep Learning Model for Early Detection of Pneumonia in Chest Radiography by Erdem Yanar, Fırat Hardalaç, Kubilay Ayturan

“…This study introduces PELM (Pneumonia Ensemble Learning Model), a novel deep learning framework for automated pneumonia detection using chest X-ray (CXR) images. …”
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MODEL OF TECTONIC EARTHQUAKE PREPARATION AND OCCURRENCE AND ITS PRECURSORS IN CONDITIONS OF CRUSTAL STRETCHING by R. M. Semenov, V. V. Kashkovsky, M. N. Lopatin

“…One of the models considers crustal stretching that is characteristic of formation of rift structures. …”
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Designing a Conceptual model for Evaluating the Performance of Software Developers in Fintech Organizations by Hassan Javadi, Fereshteh Amin

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The archetype of the Mythological Hero in News Coverage of the Covid-19 Pandemic / Архетип мифологического героя в новостных сюжетах о пандемии Covid-19... by LAVROVA ELENA N. / ЛАВРОВА Е.Н.

“…In today’s media culture, which is saturated with visual images, the interpretation of what is seen in the context of simulacra, recognizable visual codes, and strict construction models, becomes crucial. …”
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