DRLinSPH: an open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems by Mai Ye, Hao Ma, Yaru Ren, Chi Zhang, Oskar J. Haidn, Xiangyu Hu

“…These pose significant challenges for traditional control strategies in optimizing structural motion, often leading to suboptimal performance. …”
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Production Planning of a Failure-Prone Manufacturing System under Different Setup Scenarios by Guy-Richard Kibouka, Donatien Nganga-Kouya, Jean-Pierre Kenne, Victor Songmene, Vladimir Polotski

“…The objective of the study is to find the production and setup policies which minimize the setup and inventory costs, as well as those associated with shortages. A modeling approach based on stochastic optimal control theory and a numerical algorithm used to solve the obtained optimality conditions are presented. …”
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Motion Planning Methods for Automated Parking: A Comprehensive Review by CHEN Xiaoming, LI Bai, FAN Lili, ZHANG Youmin

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A simulation study on strength and fatigue analysis of hydraulic excavator buckets by Wenbin Pan

“…The method provides a new technical means for the design and optimization of hydraulic excavator bucket, which has high application value.…”
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Variations in Rural PM2.5 Sources and Composition in the Post Coal-to-Gas Period Based on a Three-Year Observation by Zhi Ning, Zhiyong Li, Jihong Wei, Jinming Liu, Huichun Ma, Zhuangzhuang Ren, Xiaohua Ma, Chen Liu, Lan Chen, Aiqin Liu, Binglin Wang, Jiaqi Wang, Huiying Gao

“…However, the continuity of CTG effectiveness on PM2.5 control in the post CTG remained unclear, especially in rural area, retarding the further emission-control policy optimization. …”
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Recent advances in machine learning applications for MXene materials: Design, synthesis, characterization, and commercialization for energy and environmental applications by Sodiq Abiodun Kareem, Makinde Akindeji Ibrahim, Justus Uchenna Anaele, Olajesu Favor Olanrewaju, Emmanuel Omosegunfunmi Aikulola, Michael Oluwatosin Bodunrin

“…Recent studies confirm that ML models have been instrumental in improving MXene synthesis processes, enabling higher yields and optimization of properties, better purity, and scalability through real-time process control and reinforcement learning. …”
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Thermo-Mechanical Behavior Simulation and Experimental Validation of Segmented Tire Molds Based on Multi-Physics Coupling by Wenkang Xiao, Fang Cao, Jianghai Lin, Hao Wang, Chongyi Liu

“…The error between multi-field coupling simulation results and experimental results is controlled within 6%, verifying the model’s reliability. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

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Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study by Masab Mansoor, Andrew Ibrahim

“…Cox proportional hazards models were used to evaluate risk factors, and a prediction model was developed using multivariable logistic regression. …”
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Managing Investment Programs оf Electric Power Companies by K. E. Vedenyev

“…The goal of the article is to substantiate the model of technological price control of investment processes at electric power companies, which stipulates evaluation of capital structure and accumulation processes and investment practice of efficiency support, first of all for protection of their interests. …”
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Dynamic evolution of rainfall erosivity in different rocky desertification areas and analysis of multidimensional driving factors by Yingshan Zhao, Dayun Zhu, Zhigao Wu, YuRong Han, WanQing Liu, YuRong Mu, Hua Xiao

“…Study region: Karst rocky desertification areas in southwest China, covering eight control zones. Study focus: This study uses Mann-Kendall test, Gravity Center model, and Optimal Parameter-based Geographical Detectors to analyze spatiotemporal distribution and driving factors of rainfall erosivity (R) in different rocky desertification control zones from 1961 to 2020. …”
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Edge AI-Based Smart Intersection and Its Application for Traffic Signal Coordination: A Case Study in Pyeongtaek City, South Korea by Seongjin Lee, Seungeon Baek, Wang-Hee Woo, Chiwon Ahn, Jinwon Yoon

“…The optimized model maintains a similar level of accuracy (93.64%), even if the size is reduced by 97.8% compared to the original. …”
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

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Analysis on Influence of Large Capacity SVC Reactor on Low Voltage DC Power Supply for Station and Preventive Measures by Caiquan WEN, Jiexiong QUAN, Kai ZHOU, Longbin PAN, Cheng LI

“…The results show that the influence of phase controlled reactors of a large capacity SVC on the low voltage DC power supply of a power substation has exceeded the allowable value stipulated by relevant code, and the layout optimization of silicon steel sheet, aluminum plate and iron plate can effectively reduce the interference, and the resulting inductance change and heating are acceptable.…”
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Evaluating Perceived Resilience of Urban Parks Through Perception–Behavior Feedback Mechanisms: A Hybrid Multi-Criteria Decision-Making Approach by Zhuoyao Deng, Qingkun Du, Bijun Lei, Wei Bi

“…The study finally proposes four optimization pathways, emphasizing the role of feedback mechanisms in enhancing urban park resilience and shaping “cognitive-friendly” spaces, providing a systematic modeling foundation and strategic reference for perception-driven urban public space optimization.…”
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DAHD-YOLO: A New High Robustness and Real-Time Method for Smoking Detection by Jianfei Zhang, Chengwei Jiang

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Early markers of induced pluripotent stem cell hematopoietic development by O. N. Sheveleva, T. A. Nenasheva, I. V. Lyadova

“…The generation of immune cell populations from induced pluripotent stem cells (iPSCs) is a valuable model to study mechanisms that control hematopoietic development; it also is a promising approach to develop immunotherapeutic strategies to treat various diseases, including hereditary, oncological and infectious ones. …”
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Ohmic heating enhanced extraction and yield kinetics of kinnow juice by Lalremmawii, Satish Kumar, Maninder Kaur, Mahesh K. Samota

“…The responses were juice yield, increase in juice recovery, bulk density, pH, total soluble solids, ascorbic acid content, total color difference, titratable acidity of control and ohmically treated juice samples. Juice recovery and physico-chemical properties of kinnow were significantly affected by ohmic heating. …”
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Reducing transition costs towards carbon neutrality of China’s coal power plants by Rui Wang, Wenjia Cai, Ryna Yiyun Cui, Lin Huang, Weidong Ma, Binbin Qi, Jia Zhang, Jiang Bian, Haoran Li, Shihui Zhang, Jianxiang Shen, Xian Zhang, Jiutian Zhang, Wei Li, Le Yu, Ning Zhang, Can Wang

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Numerical and experimental justification of transcatheter aortic valve prosthesis design by E. A. Ovcharenko, K. U. Klyshnikov, A. A. Shilov, N. A. Scheglova, T. V. Glushkova, D. V. Nushtaev, L. S. Barbarash

“…Computer 3D models were subjected to numerical analysis in the Abaqus/CAE environment (Dassault Systemes, France) based on the finite element method with iterative design optimization and repeated numerical experiments. …”
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