Motion Gait Recognition of Lower Limb Exoskeleton Based on Particle Swarm Optimization-Based Extreme Learning Machine Algorithm by Ting Liu, Kai Liu, Wuyi Luo, Jiange Kou, Haoran Zhan, Guangkai Yu, Qing Guo, Yan Shi

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Numerical investigation on structure optimization and heat transfer of a phase change accumulator based on changing eccentricity and fin parameters by Shi Yiting, Zhang Liting, Yang Yongwen, Zhang Tao, Li Qifen

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Energy Management of Industrial Energy Systems via Rolling Horizon and Hybrid Optimization: A Real-Plant Application in Germany by Loukas Kyriakidis, Rushit Kansara, Maria Isabel Roldán Serrano

“…Industrial energy systems are increasingly required to reduce operating costs and CO₂ emissions while integrating variable renewable energy sources. Managing these objectives under uncertainty requires advanced optimization strategies capable of delivering reliable and real-time decisions. …”
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Comprehensive optimization of active and reactive power scheduling in smart microgrids by accounting for line transmission losses using genetic algorithm by F.Z. Zahraoui, H.E. Chakir, M. Et-taoussi, H Ouadi

“…Smart microgrids face increasingly complex challenges in providing optimal power flow due to the integration of intermittent renewable energy sources, reactive power demand, and transmission line losses. …”
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Enhanced nattokinase production by Bacillus subtilis from glycerol and okara: optimization of culture medium via response surface methodology by Yaling Duan, WanTing Du, Yang Xu, Gege Guo, Zhaoxing Liu, Ning Hao

“…Building upon this, fermentation conditions using glycerol as the carbon source and okara as the nitrogen source were optimized. …”
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Advancing Energy Transition: A Circular Economy Framework for Co-Optimizing Energy, Water, and Emissions in Low-Carbon Systems by Mohamed Elsir, Ameena Saad Al-Sumaiti, Mohamed Shawky El Moursi

“…We employ a novel risk-multi-objective stochastic (RMOBS) optimization method, coupled with a two-stage stochastic programming model, to address uncertainties through hidden Markov processes and conditional value-at-risk (CVaR) techniques. …”
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Noise Analysis and Suppression Methods for the Front-End Readout Circuit of a Microelectromechanical Systems Gyroscope by Chunhua He, Yingyu Xu, Xiaoman Wang, Heng Wu, Lianglun Cheng, Guizhen Yan, Qinwen Huang

“…Therefore, it is essential to analyze and suppress the noises in the key analog circuits, which are the main noise sources. This study presents an optimized front-end readout circuit and noise suppression methods. …”
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Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds by Zhuli REN, Ruifu YUAN, Liguan WANG, Haokun DENG, Wen WANG, Jinlong ZHANG

“…This results in a complete point cloud post-denoising. The method is implemented through secondary development based on the open-source software Cloud Compare. …”
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Hierarchical deep Q-network-based optimization of resilient grids under multi-dimensional uncertainties from extreme weather by Shimeng Dong, Chao Wang, Yan Zhang, Yanan Wang, Xiaodong Zhang, Linrun Guo, Liwei Ju

“…This paper introduces an innovative optimization framework leveraging Deep Q-Networks (DQN) to integrate renewable energy sources, energy storage systems, and advanced resilience metrics into a cohesive decision-making model. …”
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Optimization of parameters of quiet permanent magnet synchronous motor for linear drive of long-stroke single-stage piston compressor by A. A. Tatevosyan

“…The substantiation of the maximum possible efficiency of the PMSM for the sinusoidal and non-sinusoidal laws of motion of the inductor is given.PURPOSE: Obtaining a solution to the problem of optimizing the magnetic system design of a low-speed PMSM as a part of a linear drive of a single-stage reciprocating compressor for a given law of motion of the moving part that meets the criterion of maximum efficiency of an electromechanical converter.METHODS: The methods of the theory of electromechanical energy converters, theoretical electrical engineering, mathematical modeling, optimization methods, variational, differential and integral calculus, as well as experimental methods are used.RESULTS: The results of an experimental study of the developed prototype of a low-speed SDPM as a part of a linear drive of a long-stroke single-stage reciprocating compressor are presented.CONCLUSION: The highest efficiency of the PMSM is achieved when the current in the armature winding changes with time in direct proportion to the speed of the inductor. …”
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A parameter uniform hybrid approach for singularly perturbed two-parameter parabolic problem with discontinuous data by N. Roy, A. Jha

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Optimization of <i>Sargassum bovianum</i> Extraction Techniques for Germination of Wheat, Canola, and Corn Under Different Salinity Stress by Mehdi Derafshi, Akbar Hassani, Setareh Amanifar, Mohammad Babaakbari, Narges Hematimatin, Behnam Asgari Lajayer, Tess Astatkie, G. W. Price

“…Seaweeds are a cheap, eco-friendly, and rich source of plant growth stimulators that can mitigate the adverse effects of salinity stress. …”
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Dual-layer scheduling coordination algorithm for power supply guarantee using multi-objective optimization in spot market environment by Xuanyuan Wang, Xu Gao, Zhen Ji, Wei Sun, Bo Yan, Bohao Sun

“…Price fluctuations, the intermittency and uncertainty of renewable energy sources, and stringent environmental constraints make traditional dispatch methods inadequate. …”
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Distributed PV hosting capacity assessment method for distribution network considering planning of flexible resource by XU Jiayu, WANG Xiaobing, LI Bing, GU Jingda, ZHANG Qiushi, ZANG Tianlei

“…Firstly, based on the traditional multi-scenario construction method, the concept of time-sequence correlation is introduced establish the joint scenario set of source and load considering time sequence autocorrelation and cross-correlation. …”
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A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction by Qiao Li, Xingchen Li, Xiaoqian Chen, Wen Yao

“…These sparse graphs are then integrated with learnable weights optimized by automatic differentiation. Our method has been tested on an open-source turbulence dataset, the two components of graph pruning and weight optimization bring about 34% and 10% improvements on average. …”
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Methods of Protein Extraction from House Crickets (<i>Acheta domesticus</i>) for Food Purposes by Nair Cunha, Vanda Andrade, Antónia Macedo, Paula Ruivo, Gabriela Lima

“…Protein isolates have proven to be effective in enhancing this functionality and consumer acceptance, but existent protein extraction methods still lack improvements concerning the optimization of protein extraction rates. …”
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The native Iranian soil bacteria with high potential to produce extracellular methionine gamma-lyase by Matin Nasirian, Mohsen Mobini-Dehkordi, Pegah Khosravian

“…In conclusion, this study presents a promising new methods for identifying potential L-methioninase producers and optimizing the culture medium for more enzyme production by microbial fermentation. …”
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Conventional and Innovative Methods for Reducing the Incidence of <i>Listeria monocytogenes</i> in Milk and Dairy Products by Adriana Dabija, Cristina Ștefania Afloarei, Dadiana Dabija, Ancuța Chetrariu

“…This paper presents a synthesis of the specialized literature on methods to reduce the incidence of <i>L. monocytogenes</i> in milk and dairy products. …”
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Insights into Biohydrogen Production Through Dark Fermentation of Food Waste: Substrate Properties, Inocula, and Pretreatment Strategies by Djangbadjoa Gbiete, Satyanarayana Narra, Damgou Mani Kongnine, Mona-Maria Narra, Michael Nelles

“…This review critically assesses food waste sources, focusing on their physical and chemical composition, pretreatment methods, and strategies for optimizing dark fermentative hydrogen production. …”
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A mixed‐methods needs assessment to identify pharmacology education objectives for emergency medicine residents by Ashley C. Rider, Brian T. Dang, Holly A. Caretta‐Weyer, Kimberly A. Schertzer, Michael A. Gisondi

“…We summarized all data sources to identify curriculum gaps. Results Common medication errors reported in our database were wrong dose (43%) and computer order entry errors (14%). …”
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