Prediction of the Remaining Useful Life of Lithium–Ion Batteries Based on Mode Decomposition and ED-LSTM by Bingzeng Song, Guangzhao Yue, Dong Guo, Hanming Wu, Yonghai Sun, Yuhua Li, Bin Zhou

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Simulation and experimental study on aerodynamic characteristics of urban rapid trains in tunnel operation by CHEN Xijun, ZHANG Baozhen, ZHEN Xuan, LIN Dongyang, CHEN Sanmeng

“…These findings validate that the aerodynamic performance of urban rapid trains in full-tunnel operation can reliably satisfy the requirements for passenger comfort and environmental noise control, providing a solid scientific basis for the optimal design and safe operation of full-tunnel urban rapid trains.…”
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A distributed photovoltaic cluster power quantification model integrating ground-based cloud image segmentation technology and high-resolution weather forecasting technology by Wenxin Fan, Yu Han, Xincong Shi, Qiang Jin, Yicong Chen, Hua Qin

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Analysis of a Four-Legged Robot Kinematics during Rotational Movements of Its Body by M. J. Fernando, G. R. Saypulaev, M. R. Saypulaev

“…To provide high precision in controlling their movement, it is required to develop mathematical models and algorithms for planning the robot movement along various trajectories. …”
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Research on the Inversion Method of Dust Retention in Grassland Plant Canopies Based on UAV-Borne Hyperspectral Data by Yibo Zhao, Shaogang Lei

“…Monitoring the dust retention content in grassland plants around open-pit coal mines is of significant importance for environmental pollution monitoring and the development of dust control strategies. This paper focuses on the HulunBuir grassland in the Inner Mongolia Autonomous Region, China. …”
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Research on the Evolution Characteristics and Influencing Factors of Foamy Oil Bubbles in Porous Media by Moxi Zhang, Xinglong Chen, Weifeng Lyu

“…It not only provides a rational explanation for the “high oil production, low gas production” phenomenon but also offers theoretical support for optimizing extraction processes (e.g., gas component regulation, viscosity control) through quantified parameter weightings. …”
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Method for Analyzing the Importance of Quality and Safety Influencing Factors in Automotive Body Manufacturing Process—A Comprehensive Weight Evaluation Method to Reduce Subjective... by Ying Xiang, Long Guo, Shaoqian Ji, Shengchao Zhu, Zhiming Guo, Hu Qiao

“…The results show that the proposed model can effectively identify the key quality and safety influencing factors in the automobile body manufacturing process, guarantee quality control and safety assurance in the body manufacturing process, and thus ensure that the automobile production process meets the quality and safety requirements.…”
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Association between calcium intake and risk of congestive heart failure: a cross-sectional study from the 2003–2018 NHANES database by Bo Zhu, Li Wan, Xingyu Chen, Zihan Wang, Haiwei Rao, Qing Li, Chen Huang

“…Additionally, Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to identify optimal predictor variables, and model performance was evaluated using the receiver operating characteristic curve. …”
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User Handover Aware Hierarchical Federated Learning for Open RAN-Based Next-Generation Mobile Networks by Amardip Kumar Singh, Kim Khoa Nguyen

“…The Open Radio Access Network (O-RAN) architecture, enhanced by its AI-enabled Radio Intelligent Controllers (RIC), offers a more flexible and intelligent solution to optimize next generation networks compared to traditional mobile network architectures. …”
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Installation Effects of Supersonic Inlets on Next-Generation SST Turbofan Engines by Stylianos Adamidis, Dario Del Gatto, Christos Mourouzidis, Stephen Brown, Vassilios Pachidis

“…Variable airflow control technology is assessed, with a scheduling methodology developed to optimize the inlet operation by minimizing the installed SFC. …”
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Development of Bayesian segmented Poisson regression model to forecast COVID-19 dynamics based on wastewater data: a case study in Nanning City, China by Bin Xu, Xinfu Shi, Changwei Liang, Congxing Shi, Chuyun Peng, Yingsi Lai

“…This study is dedicated to developing a predictive model aimed at estimating of the dynamics of COVID-19 at an early stage based on wastewater data, to assist in establishing an effective early warning system for disease control. …”
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Research on Calibration Method of Laser Camera Sensor by LIU Shiwang, HU Yunqing, LIN Jun

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Standalone Operation of Inverter-Based Variable Speed Wind Turbines on DC Distribution Network by Hossein Amini, Reza Noroozian

“…The control system is modeled based on Clark and Park transformations and is developed for the load inverters to provide balanced AC voltage despite unbalanced load conditions. …”
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Effects of transitional care model on postpartum depression of primiparas (产后延续护理对初产妇产后抑郁的影响) by ZHANG Yongqiang (张勇强), YANG Jingying (杨晶莹), LIU Huiling (刘会玲), XU Yuanle (许远乐), ZHU Kunkun (朱坤坤)

“…Objective To investigate the effect of transitional care model on postpartum depression of primiparas. Methods Totally 400 primiparas were randomly divided in to the control group and observation group, with 200 cases in each group. …”
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Acousto-optogenetics bandpass stabilizer: A programmable platform for mapping single-cell phenotypic life trajectories by Yuxin Wang, Yue Quan, Shizheng Zhou, Yinning Zhou

“…Photobleaching-induced signal decay undermines the accuracy of fluorescence-based drug screening across multiple disease models (e.g., HER2/EGFR-targeted therapies). Traditional phototoxicity mitigation strategies, primarily through reduced illumination, inevitably compromise imaging resolution and further providing false positive/false negative. …”
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Sealing mechanisms and enrichment patterns of deep coalbed methane: insights from the Jiaxian block, Ordos Basin by Qifan Zhang, Peijie Li, Dameng Liu, Yanbin Yao, Yidong Cai, Yilin Guo, Zefan Wang

“…Our findings reveal that five key factors—mud content, mudstone-to-formation ratio, porosity, permeability, and fracture development intensity—control the sealing capacity of the roof and floor. …”
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Study of grain spreading and cooling process based on non equilibrium thermal simulation by ZHAO Chao, CHEN Tao, ZHOU Zhonglin, YANG Jian

“…ObjectiveTo improve the automation level of 0the temperature control of grain cooling.MethodsUsing SST k-ω turbulence model and non-equilibrium thermal model to conduct theoretical analysis. …”
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Identification of Distribution Network Topology and Line Parameter Based on Smart Meter Measurements by Chong Wang, Zheng Lou, Ming Li, Chaoyang Zhu, Dongsheng Jing

“…Accurate line parameters are the basis for the optimal control and safety analysis of distribution networks. …”
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Ecological and Ergonomic Aspects of Operating Hybrid Sunflower Cultivation Technologies by M. A. Kerimov, V. V. Vetushko

“…(Results and discussion) The study demonstrates that the research objective is achieved through two core systems engineering tasks: analysis, which involves identifying key parameters of the biotechnical system and environmental variables that exhibit probabilistic-statistical variability; and synthesis, which involves justifying an optimal control scheme for system operation. (Conclusions) The technological reliability of the biotechnical system, as a qualitative metric, reflects its capacity to perform designated functions while accounting for technical and economic indicators, ecological and ergonomic requirements, and time-related factors. …”
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Combining Transfer Learning and Ensemble Algorithms for Improved Citrus Leaf Disease Classification by Hongyan Zhu, Dani Wang, Yuzhen Wei, Xuran Zhang, Lin Li

“…By constructing efficient deep learning models and training and optimizing them with a large dataset of citrus leaf images, we ensured the broad applicability and accuracy of citrus leaf disease detection, achieving high-precision classification. …”
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