Spatio‐temporal dynamic navigation for electric vehicle charging using deep reinforcement learning by Ali Can Erüst, Fatma Yıldız Taşcıkaraoğlu

“…Three case studies are carried out for 24 nodes Sioux‐Falls benchmark network. It is shown that phasic policy gradient achieves an average of 9% better reward compared to proximal policy optimization and the total time decreases by 7–10% when EV owner cost is considered.…”
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The Impact of Digital Learning Technology Applications on the ‎Development of ‎Performance Skills Among University ‎Students‏ ‏ ‏ ‏ by Rami Khalil Jundi, Yasir Khalaf Rashid

“…Aims: The current research aims to identify the impact of digital learning technology ‎applications on developing performance skills among university students. ‎…”
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PROJECT-BASED LEARNING AND ITS EFFECTS ON DEVELOPING WRITING SKILLS IN BUSINESS ENGLISH STUDENTS by Cristina-Laura ABRUDAN

“…Project-Based learning also proved to be a motivator for learners to engage in writing as they had become accustomed to individual learning environments where active participation is needed, in all stages of the process, to avoid falling behind. …”
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Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals by Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Anand Paul

“…Clarke error grid analysis (CEGA) confirmed the model’s clinical reliability, with 99.31% of predictions falling within clinically acceptable limits. The FL-based approach outperformed conventional deep learning models, making it a promising method for non-invasive, privacy-preserving glucose monitoring.…”
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Lessons learned from 5 years of pegvaliase in US clinics: A case series by Erin Cooney, Zineb Ammous, Tricia Bender, Gillian E. Clague, Marilyn Clifford, Angela Crutcher, Laura Davis-Keppen, Kirsten Havens, Melissa Lah, Stephanie Sacharow, Amarilis Sanchez-Valle, Erika Vucko, Bridget Wardley, Leah Wessenberg, Hans C. Andersson

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Effect of Implicit Learning Methods With the External Focus of Attention on Bowling Skills in Children With Autism Spectrum Disorder: A Randomized Control Trial Study by Mina Khodayari, Rasoul Yaali, Farhad Ghadiri

“…Group A was trained using the errorless learning method with the external focus of attention, while Group B was trained using the analogical learning method with the external focus of attention. …”
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From Crisis to Resilience: Pandemic Perspectives on College Student Experiences, Motivation and Self-Regulated Learning by Diana Botnaru, Anna Brady, Dragos Amarie, April Garrity, Erica Hillsnipe, Caroline Hopkinson, Cynthia Lynes, Eryn Maher

“…., pandemic experiences and their impact on basic psychological needs, metacognitive learning strategies, and motivation regulation). The survey was administered at a 4-year university in the Southeastern United States during fall 2022. …”
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Development of Mobile Application-Based Learning Media to Support Students' Mathematical Communication in Geometric Transformation by Annisaq Ardies, Budi Murtiyasa

“…The results of the student questionnaire obtained fall into the feasible category for the software aspect and the very feasible category for the learning aspect and visual communication. …”
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Learning to Live-with Climate Change through Film: The Arche-Cinema of Gummo as Climating and Becoming-Climate by Joseph Paul Ferguson

“…I suggest that my entanglement with Gummo exemplifies my climating and becoming-climate as film in our current human-induced climate crises, and in this way, I argue that I am learning to live-with climate change through film.…”
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Recursive regulator: a deep-learning and real-time model adaptation strategy for nonlinear systems by Jinming Sun, Yanqiu Huang, Wanli Yu, Alberto Garcia-Ortiz

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Problem-Based Inquiry Method: Improving Critical Thinking Skills, Academic Outcomes, and Learning Motivation by Christina Ismaniati, Almendo Thio Lindra, Heldy Adynata Putra Pratama

“… This study investigates how well the Problem-Based Inquiry Method (PBIM) improves academic performance, learning motivation, and critical thinking abilities.  …”
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Examining the Impact of Construction Field Trips on Learning Outcomes: Perspectives from Structural Architecture Courses by Wafa Labib, Amal Abdelsattar

“…Traditional lectures in architectural engineering often fall short of effectively conveying practical applications. …”
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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

“…Existing approaches often fall short of fully exploiting these data characteristics, struggling with multi-source integration, real-time predictive capabilities, and adaptability to dynamic environments. …”
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New Approaches for Network Topology Optimization Using Deep Reinforcement Learning and Graph Neural Network by Mohammed Ali, Florent Duchesne, Ghassan Dahman, Francois Gagnon, Diala Naboulsi

“…Traditional optimization methods often fall short in scalability and adaptability when it comes to network topology planning. …”
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ErgoReport: A Holistic Posture Assessment Framework Based on Inertial Data and Deep Learning by Diogo R. Martins, Sara M. Cerqueira, Ana Pombeiro, Alexandre Ferreira da Silva, Ana Maria A. C. Rocha, Cristina P. Santos

“…Various posture assessment tools assess WRMSD risk but fall short in providing an elucidating risk breakdown to expedite the typical time-consuming ergonomic assessments. …”
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Assessing excavatability in varied rockmass conditions using real-time data and machine learning technique by Shafi Muhammad Pathan, Abdul Ghani Pathan, Muhammad Saad Memon

“…The frequency distribution of TLT data indicates that most materials in the pit fall under “Very Easy” and “Easy” classes, simplifying excavation processes. …”
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Machine learning-based prediction of optimal antenatal care utilization among reproductive women in Nigeria by Jamilu Sani, Adeyemi Oluwagbemiga, Mohamed Mustaf Ahmed

“…Traditional statistical models often fall short in identifying complex non-linear relationships in population health data. …”
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Clinical Pharmacology and Medication Safety: A Remote Learning Elective Designed for Senior Medical Students by Elizabeth B. Graham, William T. Wightkin, Curt R. Bay, Uzoma S. Ikonne

“…To evaluate the elective's effectiveness, students in the fall and spring cohorts completed pre‐elective and post‐elective questionnaires, and differences in responses were analyzed using the Mann–Whitney U test. …”
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Immersive learning in medical education: analyzing behavioral insights to shape the future of VR-based courses by Anna Junga, Henriette Schulze, Sönke Scherzer, Ole Hätscher, Philipp Bozdere, Paul Schmidle, Benjamin Risse, Bernhard Marschall, the medical tr.AI.ning consortium

“…Results It was shown that primary learning objectives can be addressed well in VR. However, secondary learning objectives that fall into the field of basic skills seem to be delivered better in the actor-based training than in VR. …”
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A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning by Yu Liu, Benjun Ma, Zhiliang Qin, Cheng Wang, Chao Guo, Siyu Yang, Jixiang Zhao, Yimeng Cai, Mingzhe Li

“…However, these methodologies fall short in adequately addressing multi-spatial coupling effects and spatiotemporal weighting, particularly in scenarios characterized by limited data availability. …”
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