Neurocognitive & Ecological Motor Learning Considerations for the 11+ ACL Injury Prevention Program: A Commentary by Dustin R. Grooms, Mario Bizzini, Holly Silvers-Granelli, Anne Benjaminse

“…Updates to the 11+ considering practical implications of neurocognitive and ecological motor learning may be warranted for coaches and practitioners. …”
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Correction: Enhancing visual and plastic education training: a blended learning and flipped classroom approach by Verónica Chust-Pérez, Rosa Pilar Esteve‑Faubel, María Pilar Aparicio‑Flores, José María Esteve‑Faubel

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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…Given the nonlinear characteristics of supplementary cement material concrete (SCMC) mixtures, researchers are increasingly turning to machine learning methods. This study assesses nine machine learning models, integrating conventional AI algorithms, such as artificial neural network (ANN), support vector regression (SVR), and random forest (RF) with nature-inspired optimization techniques including chicken swarm optimization (CSO), moth flame optimization algorithm (MFO), and whale optimization algorithm (WOA). …”
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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

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Learning through audio-visual aids: how does it work for students to delve into the English vowels? by Zikril Mulia

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Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning by Francis Loignon-Houle, Nicolaus Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño-Estrada, Antonio J. Gonzalez, Etiennette Auffray, Roger Lecomte

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RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning by Ahmed Sharshar, Muhammad Sharshar, Hosam Elhady, Ahmed Aboeitta, Youssef Nafea, Yasser Ashraf, Mohammad Yaqub, Mohsen Guizani

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Bi-Level Game Strategy for Virtual Power Plants Based on an Improved Reinforcement Learning Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

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Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR by Sebastian Oberdörfer, Marc Erich Latoschik

“…Playing a serious game providing these GMs leads to motivating and effective knowledge learning. Using immersive Virtual Reality (VR) has the potential to even further increase the serious game’s learning outcome and learning quality. …”
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The effectiveness of a 3D interactive learning environment as a mechanism for sharing and retaining knowledge by SH. Ye, P. Onpium, F. Ying

“…In modern world, immersive technologies are constantly evolving, allowing for effective learning and thus the creation of a 3D learning environment. …”
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Maximizing network throughput by cooperative reinforcement learning in clustered solar-powered wireless sensor networks by Yujia Ge, Yurong Nan, Xianhai Guo

“…This article proposes an adaptive power manager based on cooperative reinforcement learning methods for the solar-powered wireless sensor networks to keep harvested energy more balanced among the whole clustered network. …”
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Deep Reinforcement Learning-Based Resource Allocation for QoE Enhancement in Wireless VR Communications by Georgios Kougioumtzidis, Vladimir K. Poulkov, Pavlos I. Lazaridis, Zaharias D. Zaharis

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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

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Fault Diagnosis Method of Check Valve Based on Multikernel Cost-Sensitive Extreme Learning Machine by Jun Ma, Jiande Wu, Xiaodong Wang

“…Therefore, the multikernel function and cost-sensitive mechanism are introduced to construct the fault diagnosis model of check valve based on the multikernel cost-sensitive extreme learning machine (MKL-CS-ELM) in this paper. The comparative test results of check valve for high pressure diaphragm pump show that MKL-CS-ELM can obtain fairly or slightly better performance than ELM, CS-ELM, MKL-ELM, and multikernel cost-sensitive support vector learning machine (MKL-CS-SVM). …”
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ON THE EXPERIENCE OF BLENDED LEARNING IN THE BASICS OF PROGRAMMING AT THE FACULTY OF MATHEMATICS AND PROGRAMMING TECHNOLOGIES OF THE FR. SKORYNA GSU by M. S. Dolinsky

Subjects: “…instrumental distance learning system…”
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A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method by S. M. Nuruzzaman Nobel, S. M. Masfequier Rahman Swapno, Md. Rajibul Islam, Mejdl Safran, Sultan Alfarhood, M. F. Mridha

“…We utilized two effective ensemble machine learning methods: ensemble EfficientNetV2L-LGBM and ensemble UNet-BiGRU. …”
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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

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The effectiveness of moodle-based e-learning in enhancing digital literacy among village owned enterprises by Lia Pebriana Puspitasari, Sri Sumaryati, Sudiyanto Sudiyanto

“…This decision has affected the dynamics of education and training, prompting an increase in the use of E-Learning applications. E-Learning has become a crucial method in creating a supportive learning environment and enhancing learners' performance. …”
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Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification by Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, Ayman Mohamed Mostafa, Nasser Alshammari, Majed Abdullah Alrowaily, Hosameldeen Shabana, Mohamed Ezz

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Time series forecasting of bed occupancy in mental health facilities in India using machine learning by G. Avinash, Hariom Pachori, Avinash Sharma, SukhDev Mishra

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