Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

“…The integration of Artificial Intelligence (AI) into e-learning has transformed conventional educational approaches, improving the learning process and maximizing student achievement. …”
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Assessing the Impact of Healthcare 4.0 Technologies on Healthcare Supply Chain Management: A Multi-Criteria Evaluation Framework by Ayoninuoluwa Oluwadare, Busola Dorcas Akintayo, Olubayo Moses Babatunde, Oludolapo Akanni Olanrewaju

“…<i>Background</i>: Healthcare 4.0 has transformed supply chain management in the healthcare sector, but there is a lack of comprehensive frameworks to evaluate the impact of Healthcare 4.0 technologies on sector operations, particularly in developing countries. …”
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Deep learning models for deriving optimised measures of fat and muscle mass from MRI by Belvin Thomas, M. Adam Ali, Fatima M. H. Ali, Anthony Chung, Manjiri Joshi, Sophia Maiguma-Wilson, Gabrielle Reiff, Hadil Said, Pardis Zalmay, Michael Berks, Matthew D. Blackledge, James P. B. O’Connor

“…In summary, DL model accuracy and precision of delineating fat and muscle volumes varies between CNN-based and transformer-based models, between different tissues and in some cases with gender. …”
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Investigating the Key Trends in Applying Artificial Intelligence to Health Technologies: A Scoping Review. by Tawil Samah, Merhi Samar

“…<h4>Methods</h4>The review included 68 academic studies retracted from different databases (WOS, Scopus and Pubmed) from January 2020 and April 2024. …”
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The effect of the Rostov corn bug population on the sown winter wheat varieties and the used insecticides by A. V. Kapustkina, V. A. Khilevsky

“…In accordance with the “Methodical recommendations on the registration tests of insecticides, acaricides, molluscicides and rodenticides in agriculture” and phenogenetics methods, there have been conducted the analysis and registration of the corn bug number and the study of its phenotypic structure. …”
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Research on the Causes of the Concave Shapes of Traditional Chinese Building Roofs from the Construction Perspective by Xiang Chen, Chenyuan Wang, Jie Sun, Weijie Xia

“…Through a systematic review of historical literature (especially Yingzao fashi (Treatise on Architectural Methods)); the empirical investigation and analysis of typical architectural examples; detailed research on the structural practices, material properties (especially the creep behavior of timber), and construction techniques of key timber components such as flying rafters, hip rafters, and rafters; and mechanical principles and computational simulation, this study found that the concave curved forms of different parts of the roof, such as the eaves (flying rafters), corners (corner upturn), and main body (Ju zhe), are not purely esthetic choices but are, to a large extent, technical responses or inevitable results stemming from objective construction constraints of the time, including limitations on timber length, component connection methods, structural load distribution, and long-term deformation. …”
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An edge enhancement graph neural network model with node discrimination for knowledge graph representation learning by Tao Wang, Bo Shen

“…Additionally, many existing methods derive edge representations through random initialization or linear transformations, which do not adequately reflect relational semantics and adjacent node information, resulting in ineffective edge representations.To address these limitations, we propose the Edge Enhancement GNN model with Node Discrimination (NDEE-GNN). …”
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Power Plants Based on a Steam Drive with a Working Body Closed Circulation by V. A. Mayorov, V. F. Shcherbakov

“…(Results and discussion) The authors showed that double transformation of the aggregation state of the working body was much more efficient than its heating. …”
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DAM-Net: Domain Adaptation Network With Microlabeled Fine-Tuning for Change Detection by Hongjia Chen, Xin Xu, Fangling Pu

“…The network incorporates a multitemporal transformer for feature fusion and optimized backbone structure based on previous research. …”
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Visualisation Design Ideation with AI: A New Framework, Vocabulary, and Tool by Aron E. Owen, Jonathan C. Roberts

“…Throughout the visualisation ideation process, individuals engage in exploring various concepts, brainstorming, sketching ideas, prototyping, and experimenting with different methods to visually represent data or information. …”
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Sociotechnical Adaptation of Telerehabilitation in Rehabilitation Practice: Survey Among Rehabilitation Professionals by Tuija Partanen, Riitta Seppänen-Järvelä, Sinikka Hiekkala, Jari Lindh

“… Abstract BackgroundBoth rehabilitation practice and rehabilitation professionals’ work have been transformed by the adoption of different technological solutions. …”
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INFLUENCE OF NON-STEROIDAL ANTI-INFLAMMATORY EYE DROPS ON THE EPITHELIUM CELLS OF THE CORNEA AND CONJUNCTIVA IN VITRO by O. I. Aleksandrova, I. N. Okolov, Yu. I. Khorolskaya, I. E. Panovа, M. I. Blinova

“…Materials and methods. The object of the study was four of the drug Broxinac®, Acular LS®, Diclo-F ®, Indocollyre®. …”
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Evaluation of psychological indicators of pedagogical conservatism of university teachers by I.B. Avakyan

“…</strong> To identify psychological indicators that determine different levels of pedagogical conservatism of university teachers. …”
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LS-MambaNet: Integrating Large Strip Convolution and Mamba Network for Remote Sensing Object Detection by Lingyu Yan, Zijian He, Zhiqi Zhang, Guangqi Xie

“…However, in the presence of targets with high aspect ratios and significant scale variations in remotely sensed images, existing methods prefer CNN or transformer architectures but suffer from the limitations of overly fixed receptive fields or excessive computational complexity. …”
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Feature Enhanced Spatial–Temporal Trajectory Similarity Computation by Silin Zhou, Chengrui Huang, Yuntao Wen, Lisi Chen

“…In this paper, we study trajectory similarity computation on the road network. However, existing methods have been designed primarily for road network trajectories with spatial information, while ignoring the important temporal information in the real world. …”
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Innovative machine learning approaches for complexity in economic forecasting and SME growth: A comprehensive review by Mustafa I. Al-Karkhi, Grzegorz Rza̧dkowski

“…Specifically, the findings highlight that the integration of ensemble methods and deep learning models has achieved significant improvements in prediction accuracy, while interpretability tools such as SHAP and LIME enhance transparency and user trust. …”
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Cognitive motivational variables and dropout intention as precursors of university dropout by Yaranay López-Angulo, Rubia Cobo-Rendón, Fabiola Sáez-Delgado, Javier Mella-Norambuena, María Victoria Pérez-Villalobos, Alejandro Díaz-Mujica

“…Method: non-experimental designs were used. Two studies are reported, study 1 involved 3,256 students and study 2 involved 2,110 students. …”
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Preventing Catastrophic Failures: A Review of Applying Acoustic Emission Testing in Multi-Bolted Flanges by Jan Lean Tai, Mohamed Thariq Hameed Sultan, Andrzej Łukaszewicz, Zbigniew Siemiątkowski, Grzegorz Skorulski, Farah Syazwani Shahar

“…The review identifies knowledge gaps and proposes future research directions, including planned laboratory experiments to characterize defect signals in multi-bolted flange systems under different operational conditions. The findings position AET as a transformative solution for industrial inspection and maintenance, offering enhanced safety and reliability for critical infrastructures.…”
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ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

“…The ECGNet model achieves 99% accuracy, outperforming the existing methods. These matrices reflected their ability to efficiently classify the five different classes. …”
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Gift or gamble? Evaluating the impact of urban low-carbon governance on high-quality development in China by Shunqing Yang, Shunqing Yang, Shunqing Yang, Yingying Zhou, Yingying Zhou, Qingxuan Meng, Qingxuan Meng

“…This study evaluates how LCCP affects high-quality development (HQD), providing insights for policymakers.MethodsWe measured HQD using the entropy weight method and employed the difference-in-differences (DID) approach with 2000-2021 panel data from 351 Chinese cities, treating the LCCP as a quasi-natural experiment. …”
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