Optimizing anesthesiology education for international students in China: challenges and innovative teaching strategies by Yaoxin Yang, Yaoxin Yang, Yu Leng, Yu Leng, Weiwei Wu

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Research on Networked Traction Power Supply System and Its Optimal Dispatching Strategy by LI Hongbo, XU Dongsheng, HUANG Zhihao, YIN Xiaowei, ZHANG Min, WANG Xiong, ZHANG Zhixue

“…Topology of the networked traction power supply system and principles of the energy dispatching equipment are introduced in this paper, and energy dispatching equipment group's optimal strategy aimed for cost reduction is proposed too. …”
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Control Allocation Strategy Based on Min–Max Optimization and Simple Neural Network by Kaixin Li, Mei Liu, Xinliang Li, Xiaobin Yu, Kun Liu

“…Additionally, an offline-trained neural network is employed to replace the online optimization process, enabling the complete controller to operate on the flight control board without relying on an onboard computer. …”
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Curvature-Adaptive Learning Rate Optimizer: Theoretical Insights and Empirical Evaluation on Neural Network Training by Kehelwala Dewage Gayan Maduranga

“…These results establish CALR as a promising optimization strategy for challenging neural network training problems. …”
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Optimizing Athlete Training and Injury Mitigation Using Fuzzy Information-Based Skeletal Motion Analysis by Zaiyong Shou, Ying Hou

“…In modern sports, enhancing athletic performance and minimizing the risk of injuries is crucial to optimize athlete training and injury mitigation. An athlete’s efficiency, endurance, and recovery times can be improved using targeted training programs. …”
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Energy-Efficient Train Operation Optimization Method for Urban Rail Intervals Based on Curve Splicing by Lianbo Deng, Shaokun Ren, Li Cai, Ziruo Xie

“…On this basis, a curve splicing optimization model is established, with the objective function being the minimization of the train’s operational energy consumption while meeting interval running time requirements. …”
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

“…The research results provide a reference for further optimizing the generation of operational curves for freight trains running in long steep downhill sections, thereby ensuring both train operational efficiency and safety.…”
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Online teaching in psychotherapy training: a qualitative study revealing challenges and strategies from lecturers’ perspectives by Constanze Springinsfeld, Nina Pfatrisch, Adalet Akgün, Victoria Scholtus, Elitsa Tilkidzhieva, Jutta Fiegl, Andrea Jesser

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MFGaussian: multi-modal data fusion based 3D Gaussian splatting for accurate and robust scene representation by Ran Yang, Yang Liu, Ruofei Zhong, Zhanying Wei, Mengbing Xu, Shuai Liu, Peng Yan

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PSYCHOPEDAGOGICAL AND METHODOLOGICAL ANALYSIS OF CONTINUING PROFESSIONAL TRAINING: TOWARDS AN OPTIMIZATION OF DIDACTIC PRACTICES IN EDUCATIONAL SCIENCES by Ala Eddine BAKHOUCH

“…Based on an analytical review of psychological theories applied to lifelong learning, this study explores the interaction between advanced pedagogical strategies and their application contexts. This contribution aims to propose an updated theoretical framework that can enrich pedagogical practices, validating various intervention models while providing methodological guidelines tailored to the contemporary demands of lifelong training. …”
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Enhancing Neural Network Training Through Neuroevolutionary Models: A Hybrid Approach to Classification Optimization by Hyasseliny A. Hurtado-Mora, Luis A. Herrera-Barajas, Luis J. González-del-Ángel, Roberto Pichardo-Ramírez, Alejandro H. García-Ruiz, Katea E. Lira-García

“…The optimization of Artificial Neural Networks (ANNs) remains a significant challenge in machine learning, particularly in overcoming local-optima limitations during training. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…The objective is to design a model that allocates resources optimally while maintaining stability. To achieve this, the study employs techniques such as dynamic neural networks, robustness optimization, and resilience strategies. …”
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Optimization of Urban Rail Transit Train Stock Utilization under Re-coupling Operation Mode by DENG Chengyuan, LU Jinsheng, ZHU Changfeng, SUN Yuanguang, MA Bin

“…［Result & Conclusion］ The optimized train stock utilization scheme of urban rail transit under the re-coupling operation mode can reasonably optimize the connection between different marshalling train trips and reduce the operation costs for enterprises.…”
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Vibration control and noise attenuation strategies via acoustic metamaterial in railway transportation: a state-of-the-art review by Cong Wang, Guifeng Wang, Zhenyu Chen, C. W. Lim, Weiqiu Chen

“…This review examines the causes and sources of train-induced vibration and noise, evaluates the limitations of conventional mitigation strategies, and explores the potential of acoustic metamaterials (AMMs) as innovative solutions. …”
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Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events by Patrícia Cristina Steffen, Júlio Gomes, Eloy Kaviski, Daniel Henrique Marco Detzel

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Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction by Chaofan Ling, Junpei Zhong, Weihua Li, Ran Dong, Mingjun Dai

“…We analyze the signal dissemination and characteristic artifacts of PPNV1 and introduce architectural enhancements and training strategies to mitigate these issues. The improved architecture focuses on optimizing information dissemination and reducing aliasing in neural networks. …”
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Research on Urgent Operation Assistant Driving for High-speed Train by Di SHEN, Qingyuan WANG, Fei XIA, Cheng LIU, Bin ZHENG, Yang CHAI

“…At the same time, based on the energy-saving optimization control strategy, different traction target constant speeds were used for simulation, which showed that selecting the appropriate traction target constant speed according to the line conditions was of great guiding significance for the urgent operation driving of high-speed trains with limited energy.…”
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Optimizing the Role of Community-Based Enterprises to Improve Performance and Competitiveness in Indonesia by Dyah Maya Nihayah, Amin Pujiati, Yosi Aulia Rahman, Annis Nurfitriana Nihayah, N Nursaidah, Anggita Damayanti, Abdul Rahim Ridzuan

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Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy by Honglin Yan, Guanghui Du, Wentao Gao, Yanhong Chen, Cunlong Cui, Kai Xu

“…These factors pose significant challenges to the multiphysics optimization of HSPMMs. Therefore, this paper presents a multiphysics optimization process for the HSPMM of 60 kW 30,000 rpm by combining subspace strategy and sequential strategy to mitigate the issues of high training volume and mutual coupling. …”
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Tradeoffs within Representational Behaviors: Multi-Objective Optimization Strategies for Simulated Military Units by Rob Kewley, Chris Argenta, Chris McGoarty

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