Integrative approach of plyometrics and nutritional strategies on vertical jump performance in elite targetball players by Kalai Murugan Sembaiyan, Mohana Krishnan Renganathan, Swamynathan Sanjaykumar, Svitlana Stadnyk, Daria Okun

“…The results underscore the benefits of integrating nutritional strategies, especially focusing on adequate protein intake and hydration, to optimize the effectiveness of plyometric training. …”
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Optimal sizing of diesel-electric hybrid powertrain for locomotive by ZHANG Chi, WU Jian, ZHANG Weige, ZHENG Xinjie, CHE Zhanghang, ZHU Zhenlin

“…Although the traditional bi-loop optimal sizing method can generate the optimal parameters, the dynamic programming algorithms used as the inner-loop to improve energy management strategy results in a long computation time. …”
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Power optimization and control strategy for new energy hybrid power generation system based on deep learning by Fei Li

“…This paper introduces the basic principle and structure of a new energy hybrid power generation system and the application of deep learning technology in power optimization and control strategy. In this paper, a power optimization method based on deep learning is proposed, which realizes real-time optimization of power generation system powers by training neural network models. …”
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Optimizing Arm Muscle Endurance in Pencak Silat Athletes: Insights from a Literature Review by Jefrio Demitrimus Nubatonis, Sulistiyono Sulistiyono, Muhamad Husein, Irvan Septianto, Salmon Runesi, Dwi Manna Nazmi Zakiah, Julian Dewantara, Jihan Azrina, Syahrizal Islam, Vince Louisse D. Salacup

“…This study aims to explore and analyze proven strategies and methods to optimize arm muscular endurance in Pencak Silat athletes. …”
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Optimized Model Torque Prediction Control Strategy for BLDCM Torque Error and Speed Error Reduction System by Ye Yuan, Cheng Liu, Siyu Chen, Zhenxiong Zhou

“…This paper presents an improved whale optimization algorithm (IWOA) for optimizing the model predictive torque control (MPTC) of brushless DC motor (BLDCM) to further reduce the problems of strong torque pulsation and high ripple caused by the special structure of BLDCM. …”
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Optimizing anomaly detection models for edge IIoT with an enhanced firefly algorithm-based hyperparameter tuning strategy by Mohemmed Yousuf Rahamathulla, Mangayarkarasi Ramaiah

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Control Strategy of Maglev Based on Reduced-order Observer by Xujiang WANG, Xingyuan WANG, Chengzhuo XU, Gang SHEN

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Optimal Scheduling Strategy for Virtual Power Plant Considering Electricity-Gas-Heat Coupling and Demand Response by Shijie WANG, Tianbo FENG, Ning SUN, Ke HE, Jiawen LI, Cheng YANG, Haoyang CUI

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Improving primary healthcare quality in China through training needs analysis by Bin Liu, Qiang Xue, Xiangang Li, Jianwei Sun, Zhenyi Rao, Guangying Zou, Xin Li, Zhaoyuan Yin, Xianyu Zhang, Yahua Tian, Min Zhang

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A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features by Cristian Drudi, Maximiliano Mollura, Li-wei H. Lehman, Riccardo Barbieri

“…<italic>Goal:</italic> The purpose of this study is to evaluate the importance of cardiorespiratory variables within a Reinforcement Learning (RL) recommendation system aimed at establishing optimal strategies for drug treatment of septic patients in the intensive care unit (ICU). …”
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Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach by Alberto Nogales, Diego Guadalupe, Álvaro J. García-Tejedor

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A Distributed Model Predictive Control Approach for Virtually Coupled Train Set with Adaptive Mechanism and Particle Swarm Optimization by Zhiyu He, Zhuopu Hou, Ning Xu, Dechao Liu, Min Zhou

“…Virtual coupling (VC) technology, which determines the safe interval between trains based on relative braking distance, offers a promising solution by enabling tighter yet safe train-following intervals through advanced communication and control strategies. …”
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A Novel Multi-Agent-Based Approach for Train Rescheduling in Large-Scale Railway Networks by Jin Liu, Lei Chen, Zhongbei Tian, Ning Zhao, Clive Roberts

“…Real-time train rescheduling is a widely used strategy to minimize knock-on delays in railway networks. …”
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Motivation strategies for non-linguistic students to learn a foreign language in the process of professional training using artificial intelligence technologies by E. A. Nikolaeva, Iu. Yu. Kotliarenko

“…Key conclusions: 1) the main condition for the effectiveness of the foreign language teaching system is the formation of conditions for the internalization of learning motives; 2) the student's motivational experience is formed through the application of different motivational strategies and in accordance with the motivational design of the training course; 3) a teacher can use different approaches to the formation of the author's portfolio of motivational strategies; 4) artificial intelligence technologies allow to optimize and increase the effectiveness of the process of developing foreign language competences, but they are used in the following ways.…”
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Passive Heat Stimuli as a Systemic Training in Elite Endurance Athletes: A New Strategy to Promote Greater Metabolic Flexibility by Sergi Cinca-Morros, Martin Burtscher, Fernando Benito-Lopez, Jesús Álvarez-Herms

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Effective unilateral/bilateral robot-assisted training for upper limb motor function rehabilitation: a cross-sectional study by Guang Feng, Guang Feng, Guohong Chai, Guohong Chai, Jiaji Zhang, Jiaji Zhang, Tao Song, Tao Song, Changcheng Shi, Changcheng Shi, Jialin Xu, Jialin Xu, Guokun Zuo, Guokun Zuo

“…The objective of this study was to investigate the optimal robot-assisted training strategies for the upper limb functional recovery in hemiparetic stroke patients.ApproachA bilateral upper limb rehabilitation robot was employed to execute unilateral and bilateral training. …”
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Optimizing Design Thinking Strategy for AI-Generated Image Models: Using Logo Design as a Case Study by Chen Yuxin

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Task-Decoupled Learning Strategies for Optimized Multiclass Object Detection From VHR Optical Remote Sensing Imagery by Guangyao Zhou, Guanqun Wang, Yu Huang, Wenzhi Wang, Zhi Qu, Chenghan Yin

“…The DMOD framework introduces a novel decoupling strategy, which separates the optimization of the localization and classification tasks, thereby avoiding the suboptimal solutions that arise from their conflicting demands. …”
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Feasibility trial of a new digital training package to enhance primary care practitioners' communication of clinical empathy and realistic optimism. by Felicity Bishop, Jeremy Howick, Jane Vennik, Jennifer Bostock, Paul Little, Christian Mallen, Leanne Morrison, Mary Steele, Beth Stuart, Stephanie Hughes, Kirsten Smith, Mohana Ratnapalan, Emily Lyness, Hajira Dambha-Miller, Riya Tiwari, Clare Lockyer-Stevens, Hazel Everitt

“…<h4>Background</h4>Patients can benefit when primary care practitioners communicate clinical empathy and optimism during consultations, but previous training interventions for practitioners are overly time-consuming and evidence on patient outcomes is limited. …”
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Pattered manipulation method for heavy-haul trains considering air brake performance diversity by XIAO Zhiming, WANG Dalong, WANG Qingyuan, LIU Qiangqiang, WEI Mi

“…In the current study, a traction calculation model was established for heavy-haul trains based on the data of Shuozhou-Huanghua railway recorded by the LKJ2000 locomotive operation monitoring equipment and the relevant track conditions, and optimized operation strategies were proposed for trains with different braking performances. …”
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