The effect of Physical Education teachers' autonomy support on college students' basic psychological needs and physical exercise by Wenjuan Zhang, Chairat Choosakul

“…Statistical methods of regression analysis and structural equation modeling were used to analyze the data. …”
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Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

“…Findings indicate that this hybrid blockchain model, enhanced with quantum-resistant cryptography and decentralized governance, significantly improves EHR security. …”
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THE FINITE ELEMENT METHOD (FEM): AN APPLICATION TO FLUID MECHANICS AND HEAT TRANSFER by L. A. Toro, C. A. Cardona, Yu. A. Pisarenko, A. V. Frolkova

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Calling Rowe: After-lives of Formalism in the Digital Age by Stylianos Giamarelos

“…From the late 1940s to the present, his disciples employed it both as a historiographical model and as a generative mechanism for architectural design. …”
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Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems by Enrico Crotti, Andrea Colagrossi

“…This synergy enables more autonomous and reliable fault management in spacecraft systems.…”
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Multi-User Satisfaction-Driven Bi-Level Optimization of Electric Vehicle Charging Strategies by Boyin Chen, Jiangjiao Xu, Dongdong Li

“…Further interpretability analysis employing gradient-weighted class activation mapping (Grad-CAM) demonstrates that the model’s attention mechanisms are well aligned with theoretically anticipated demand prioritization patterns across the distinct user types, thereby confirming the decision-theoretic soundness of the framework.…”
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Investigation into the effects of surface condensation in steam-driven twin screw expanders / trans. from Engl. M. A. Fedorova by M. A. Fedorova

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The Role of Multi-Agent Systems in Realizing Asset Administration Shell Type 3 by Lucas Sakurada, Fernando De la Prieta, Paulo Leitao

“…Finally, to better demonstrate key aspects of the model, some illustrative examples are presented to guide its application and facilitate understanding.…”
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Fault Detection in Photovoltaic Systems Using a Machine Learning Approach by Jossias Zwirtes, Fausto Bastos Libano, Luis Alvaro de Lima Silva, and Edison Pignaton de Freitas

“…This study presents three main contributions: the implementation and comparison of multiple machine learning models for fault detection, an investigation into the feasibility of identifying these faults using only electrical and environmental data, and an analysis of model performance in a photovoltaic system different from the one used for training. …”
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GIS, remote sensing, and machine learning for identifying optimal locations for seawater intake and brine disposal in coastal desalination systems by Radwa Marzouk, Tareq M. Alkhaldi, Sakthivelu U, Saranya A, Arutperumjothi G, Srinivasan S

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Ranking and Challenges of Supply Chain Companies Using MCDM Methodology by Alaa Fouad Momena, Kamal Hossain Gazi, Mostafijur Rahaman, Anna Sobczak, Soheil Salahshour, Sankar Prasad Mondal, Arijit Ghosh

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The Role of Symmetric Stem Cell Divisions in Tissue Homeostasis. by Jienian Yang, Maksim V Plikus, Natalia L Komarova

“…We further apply our computational model to biological observations in the context of a two-component lineage of mouse epidermis, where autonomous lineage control has been proposed and notable regional differences, in terms of symmetric division ratio, have been noted-higher in thickened epidermis of the paw skin as compared to ear and tail skin. …”
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Using Homomorphic Proxy Re-Encryption to Enhance Security and Privacy of Federated Learning-Based Intelligent Connected Vehicles by Yang Bai, Yutang Rao, Hongyan Wu, Juan Wang, Wentao Yang, Gaojie Xing, Jiawei Yang, Xiaoshu Yuan

“…Intelligent connected vehicles (ICVs) are one of the fast-growing directions that plays a significant role in the area of autonomous driving. To realize collaborative computation among ICVs, federated learning (FL) or federated-based large language model (FedLLM) as a promising distributed approach has been used to support various collaborative application computations in ICVs scenarios, for example, analyzing vehicle driving information to realize trajectory prediction, voice-activated controls, conversational AI assistants. …”
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Comprehensive evaluation of technical support capacity for occupational disease surveillance and assessment of CDCs in Sichuan Province, China by Yumin Li, Xia Li, Li Lin, Enfei Jiang

“…The obstacle degree model was used to analyze the primary factors influencing their capacity. …”
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Dual Attention Dual-Resolution Networks for Real-Time Semantic Segmentation of Street Scenes by Baofeng Ye, Renzheng Xue

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Semantic and Motivational Characteristics of Neolexemes of Enmity: Discursive Disclosure of Inner Form of the Word by L. N. Rebrina

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Development and assessment of an early diagnostic approach for painful diabetic peripheral neuropathy using basic clinical and laboratory parameters by Yue Yang, Lu Liu, Hui-Hui Wang, Yan Lu, Jiang-Ping Li, Ping Liu, Zi-Cheng Hu, Xiao Yang

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Development and validation of a dynamic nomogram for short-term survival in acute heart failure patients with acute kidney injury upon ICU admission by Tianbao Liao, Tingting Su, Yang Lu, Lina Huang, Lu-Huai Feng

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LLM in the Loop: A Framework for Contextualizing Counterfactual Segment Perturbations in Point Clouds by Veljka Kocic, Niko Lukac, Dzemail Rozajac, Stefan Schweng, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Javier del Ser, Andreas Holzinger

“…The proposed framework undergoes rigorous evaluation, combining human inspection of LLM-generated suggestions with quantitative analysis of semantic classification model performance across different LLM variants. …”
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From underwater to drone: A novel multi-scale knowledge distillation approach for coral reef monitoring by Matteo Contini, Victor Illien, Julien Barde, Sylvain Poulain, Serge Bernard, Alexis Joly, Sylvain Bonhommeau

“…For aerial analysis these predictions are refined (some classes are merged, others are retained, while some are removed) resulting in a final set of 12 ecological categories that serve as annotations for training a second model applied to aerial images. …”
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