Development and validation of an ethical monopoly board game to teach bioethics to undergraduate medical students by Abeera Fatima, Usman Mahboob, Rehan Ahmed Khan, Saima Rafique

“…One such approach is game-based learning, with board games emerging as a cost-effective and accessible tool for bioethics education. …”
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Enhancing placental pathology detection with GAMatrix-YOLOv8 model by Weirui Wu, Zhifa Jiang, Jingwen Liu, Jiahui Ji, Xiaoyan Wei, Xiangyun Ye, Zhen Zhang

“…Purpose: Given the advancements in machine vision, deep learning, convolutional neural networks, and other technologies, various artificial intelligence techniques have been used in placental pathology examinations. …”
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Identification of Subtypes of Post-Stroke and Neurotypical Gait Behaviors Using Neural Network Analysis of Gait Cycle Kinematics by Andrian Kuch, Nicolas Schweighofer, James M. Finley, Alison McKenzie, Yuxin Wen, Natalia Sanchez

“…Here, we propose a machine-learning pipeline combining supervised and unsupervised learning. …”
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Problems and Prospects for the Application of Neural Networks for the Sphere of Education by T. M. Shamsutdinova

“…SGD, Adam, Rprop were used as an optimizer to perform gradient descent steps. For each of the optimizers, a computer study of the stability of the neural network was carried out by varying the following parameters: the learning rate coefficient, the number of neurons in the hidden layer, and the number of training epochs.Conclusion. …”
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Design of the DETECT project: automated cardiac arrest detection and activation of the emergency medical chain integrated into a wristband by Roos Edgar, Kambiz Ebrahimkheil, Niels T.B. Scholte, Catharina E. Jansen, Rypko J. Beukema, Marc A. Brouwer, Eelko Ronner, Aysun Cetinyurek-Yavuz, Marit van Barreveld, Marcel G.W. Dijkgraaf, Peter C. Stas, Eric Boersma, Niels van Royen, Judith L. Bonnes

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AlzheimerViT: harnessing lightweight vision transformer architecture for proactive Alzheimer’s screening by C. Kishor Kumar Reddy, Hafsa Ihteshamuddin Ahmed, Muhammad Mohzary, Muhammad Mohzary, T. Monika Singh, Mohammed Shuaib, Shadab Alam, Hani Mohammed Alnami, Hani Mohammed Alnami

“…The proposed study indicates that deep learning models have the potential to enhance the diagnosis of Alzheimer’s disease. …”
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Identification of cell chemistries in lithium-ion batteries: Improving the assessment for recycling and second-life by Christopher Wett, Jörg Lampe, Dominik Görick, Thomas Seeger, Bugra Turan

“…While extremely small charge and discharge capacities per step did not yield sufficient testing accuracies, capacities starting from 0.2 Ah per step up to 0.6 Ah per step showed increasingly good results with an accuracy of up to 89.3 % for 0.5 Ah and 15 OCV steps. …”
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A Novel Short‐Term Prediction Model for Regional Equatorial Plasma Bubble Irregularities in East and Southeast Asia by Xiukuan Zhao, Guozhu Li, Haiyong Xie, Lianhuan Hu, Wenjie Sun, Yi Li, Guofeng Dai, Jianfei Liu, Yu Li, Baiqi Ning, Michi Nishioka, Septi Perwitasari, Prasert Kenpankho

“…Using the GNSS receiver network and ionosonde data from East and Southeast Asia during 2010–2021, and the rate of TEC change index to characterize the occurrence of EPB irregularities, we developed a novel Spatio‐Temporal deep learning model for regional EPB irregularities short‐term Prediction (STEP). …”
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Joint Three-Task Optical Performance Monitoring with High Performance and Superior Generalizability Using a Meta-Learning-Based Convolutional Neural Network-Attention Algorithm and... by Di Zhang, Junyao Shi, Yameng Cao, Yan Ling Xue

“…The meta-learning algorithms can learn optimal initial model parameters across multiple related tasks, enabling them to quickly adapt to new tasks through fine-tuning with a small amount of data. …”
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Probabilistic Solar Proxy Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

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A Neutrosophic α-Discounting–Reliability Model for Evaluating Blended Chinese Language Courses in Vocational Colleges by Xinxin Ji

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Enhancing home-based physical activity for neurodivergent children: adapting the InPACT at Home program with AI and universal design by Tania Sapre, Haylie L. Miller, Anna Schwartz, Leah R. Ketcheson, Alanna Price, Kerry Winkelseth, Jeanne M. Barcelona, Ronald F. Zernicke, Ronald F. Zernicke, Rebecca E. Hasson

“…AI was employed to generate and refine prompts like “Provide simplified step-by-step instructions for a jumping jack, suitable for a neurodivergent child” and “Condense the step-by-step instructions for a jumping jack, suitable for a neurodivergent child”.DiscussionThe adaptation of the existing InPACT at Home program was guided by dissemination and implementation science frameworks, aiming to increase equitable access to structured youth physical activity opportunities for neurodivergent children. …”
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Optimal Scheduling Method for Power Generation of Cascade Reservoirs Based on RLDE Algorithm by CHEN Jia-wen, ZHU Xin, TANG Zheng-yang, SHEN Ke-yan, CHEN Xiao-lin, QIN Hui

“…[Objective] To address the shortcomings of differential evolution (DE) algorithms in cascade reservoir optimization, this study proposes an intelligent algorithm that couples reinforcement learning and differential evolution (RLDE). [Methods] The RLDE algorithm improved the standard DE algorithm through three key strategies: chaotic mapping to enhance initial solution quality, Q-learning-based adaptive parameter adjustment, and a variable step-size strategy. …”
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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

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L'auto-évaluation comme facteur d'évolution du rapport à l'apprentissage des langues by Nadine Normand-Marconnet

“…This study, carried out with Iranian teachers, tries to provide some answers and show that working on socially construed beliefs linked to the self-assessment process is a first step in bringing change to opinions and practices.…”
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A Distributed Consensus Scenario Approach to Optimization and Control With Uncertainties by Jing Wang, Steven Drager

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How AI Can Aid Bioethics by Joshua (Gus) August Skorburg, Walter Sinnott-Armstrong

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Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis by Priya Kataria, Srivenkata Madhu, Madhu K. Upadhyay

“…Identifying the potential and challenges with respect to AI use in diabetes care is a fundamental step to improve the management of disease with best possible use of technology.…”
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Teachers’ perceptions of rejection sensitivity in inclusive primary schools: qualitative case study by Khaled Elballah, Abdulrahman Alsayed

“…When teachers notice students with disabilities being rejected, they can take steps to reduce it. The researcher conducted semi-structured interviews with 18 teachers working in public primary inclusive schools in Al-Ahsa, Saudi Arabia, with deaf, hard of hearing (DHH), and learning disabilities programs. …”
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NFMF: neural fusion matrix factorisation for QoS prediction in service selection by Jianlong Xu, Lijun Xiao, Yuhui Li, Mingwei Huang, Zicong Zhuang, Tien-Hsiung Weng, Wei Liang

“…Selecting suitable web services based on the quality-of-service (QoS) is essential for developing high-quality service-oriented applications. A critical step in this direction is acquiring accurate, personalised QoS values of web services. …”
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