Current View on the Use of Extracorporeal Detoxification Methods for the Treatment of Rhabdomyolysis (Review) by S. V. Masolitin, D. N. Protsenko, I. N. Tyurin, O. A. Mamontova, M. A. Magomedov

“…The choice of the optimal extracorporeal treatment method, the time of initiation and duration of the procedure still remain controversial. …”
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Dynamic weighting factor assignment method for the predictive control of electrical drives by Kristóf Bándy, Péter Stumpf

“…Furthermore, the method determines the optimal value of weighting factors in real‐time with low added calculation complexity. …”
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An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations by Mahmoud Mollayousefi Zadeh, Zakaria Afshar, Gholamreza Farahani, Seyed Mohammad Taghi Bathaee

“…The proposed model comprises three stages, one master and two subproblems, using both linearized and convexified power flow equations. Meanwhile, a new optimization-based bound tightening (OBBT) method is also presented to strengthen the relaxation. …”
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A Novel Classification Method for Flutter Signals Based on the CNN and STFT by Shiqiang Duan, Hua Zheng, Junhao Liu

“…In this study, a signal processing method was established to use the structural response signals from an aeroelastic model to classify flutter signals via deep learning algorithm. …”
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An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis by Yujie Zhang, Jian Feng, Shanyuan Wang

“…Fault diagnosis of transformers based on a clustering algorithm primarily utilizes the proportional data of dissolved gases as features, which have not considered abundant gas ratio features, and those clustering methods are prone to invalid clustering. In order to solve those problems, this paper uses more features as information sources of power transformer diagnosis based on clustering method. …”
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Preparation and photoelectric properties of Si:B nanowires with thermal evaporation method. by Yang Feng, Ping Liang, Ziwen Xia, Weiye Yang, Hongyan Peng, Shihua Zhao

“…We have successfully prepared a significant number of nanowires from non-toxic silicon sources. Compared to the SiO silicon source used in most other articles, our preparation method is much safer. …”
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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Accurate and reliable estimation of the state of health (SOH) of lithium-ion batteries is crucial for ensuring safety and preventing potential failures of power sources in electric vehicles. However, current data-driven SOH estimation methods face challenges related to adaptiveness and interpretability. …”
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Optimizing Civics Learning in High School through the Use of Print Books and Online Learning Resources by Jessica Wijaya, Nuraini Asriati

“…The results of the study showed that teachers can optimally improve Civics learning in high school by integrating printed books and online learning resources by first understanding in depth the Civics curriculum in high school, then making lesson plans that combine printed books and online learning resources and Learning Management System (LMS), applying project-based learning methods, giving online assignments related to printed book materials, fostering students' digital literacy to find accurate and reliable learning sources, using multimedia such as learning videos from YouTube and implementing simulations. …”
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Effect of synthesis method on ammonium sorption behavior of oat husk biochar by José Daniel da Silva Fonseca, Karolina Matej-Łukowicz, Jacek Kluska, Mateusz Adam Baluk, Joanna Kulesza, Bráulio Silva Barros, Ewa Wojciechowska

“…This study aims to determine the optimal method for producing biochar from oat husks, focusing on maximizing ammonium adsorption capacity among three selected preparation techniques. …”
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Optimizing Acidic Reductive Leaching for Lithium Recovery: Enhancing Sustainable Lithium Supply for Energy Markets by Agnieszka Sobianowska-Turek, Amelia Zielińska, Weronika Urbańska, Anna Mielniczek, Agnieszka Fornalczyk, Szymon Pawlak, Tomasz Małysa, Janusz Cebulski

“…The growing demand for lithium, driven by its crucial role in energy storage technologies such as lithium-ion batteries for electric vehicles, renewable energy storage, and portable electronics, is intensifying the need for sustainable extraction methods. While lithium is sourced from both primary and secondary resources, particularly from recycled materials, the recovery from spent lithium-ion batteries remains challenging. …”
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Dual Adaptive Filtering by Optimal Projection Applied to Filter Muscle Artifacts on EEG and Comparative Study by Samuel Boudet, Laurent Peyrodie, William Szurhaj, Nicolas Bolo, Antonio Pinti, Philippe Gallois

“…This paper proposes to use the method dual adaptive filtering by optimal projection (DAFOP) to automatically remove artifacts while preserving true cerebral signals. …”
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A Mathematical Programming Approach for Joint Optimization of Wind Farm Layout and Cable Routing Based on a Three‐Dimensional Gaussian Wake Model by Ziwei Cao, Longwen Chen, Ke Li, Guoqing Huang, Ruili Liu

“…ABSTRACT Wind energy is currently one of the most promising alternative energy sources. The optimization of the wind farm layout and the cable layout are two important elements in the design of wind farms. …”
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Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction by Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Nasrin Salehi, Mahyar Moradi, José J. M. Machado, João Manuel R. S. Tavares

“…A hybrid network is modeled, comprising a wind turbine with a doubly-fed induction generator (DFIG), a solar power plant with photovoltaic (PV) cells, an MPPT system, a Z-source converter, and a storage system. The proposed approach employs a motion detection-based method, utilizing image-processing techniques to optimize the MPPT of PV cells based on shadow movement patterns within the solar power plant area. …”
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Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources by Seokwoo Hyun, Geonho Kim, Jungsung Park, Yunhyuk Choi

“…This study addresses the challenges of grid stability posed by the integration of renewable energy sources, focusing on regions, like Jeju Island, where overgeneration complicates energy management. …”
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Co-Optimized Design of Islanded Hybrid Microgrids Using Synergistic AI Techniques: A Case Study for Remote Electrification by Ramia Ouederni, Innocent E. Davidson

“…The results obtained show that the best performance was obtained with the Grey Wolf Optimization algorithm. This method achieved a minimum energy cost of USD 0.268/kWh. …”
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A Multi-Objective PSO-GWO Approach for Smart Grid Reconfiguration with Renewable Energy and Electric Vehicles by Tung Linh Nguyen, Quynh Anh Nguyen

“…Comparative analyses further demonstrate that the hybrid method surpasses conventional optimization techniques, as evidenced by enhanced convergence rates and superior objective function outcomes. …”
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Study on the peak shaving operation of cascade hydropower stations based on the plant-wide optimal curve by Fengshuo Liu, Kui Huang, Xuanyu Shi, Longqing Zhao, Yangxin Yu, Xueshan Ai, Xiang Fu

“…This study proposes a novel method to enhance RES and hydropower utilization through: 1) Establishing a plant-wide optimal output-water level-outflow relationship curve based on the output-head-flow relationship and the flow-head loss and outflow-tailwater level relationship curves for each unit; 2) Developing a short-term peak shaving model for cascaded hydropower stations that incorporates wind and PV power which defines minimum coefficient of variation of residual load as objective functions, and improving discrete differential dynamic programming successive approximation (DDDPSA) method to solve it; 3) Analyzing the peak shaving capacity of the cascade hydropower station by varying water consumption for power generation. …”
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Design and Optimization of Optical NAND and NOR Gates Using Photonic Crystals and the ML-FOLD Algorithm by Alireza Mohammadi, Fariborz Parandin, Pouya Karami, Saeed Olyaee

“…A key innovation is the ability to realize both gates within a single structure by adjusting the phases of the input sources. To optimize the phase parameters efficiently, we employ the ML-FOLD (Meta-Learning and Formula Optimization for Logic Design) optimization formula, which outperforms traditional methods and machine learning approaches in terms of computational efficiency and data requirements. …”
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Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning by Wan-Peng Sun, Ji-Guo Zhang, Yichao Li, Wan-Ting Hou, Fu-Wen Zhang, Jing-Fei Zhang, Xin Zhang

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Weld Bead Shape and Formation Prediction for Robotic MIG Welding Process Using Numerical Calculation by Ping Yao, Yunyi Huang, Riheng He, Junxi Huang, Meiyi Chen, Wenxiao Yu, Kang Zhou

“…To optimize the robotic MIG welding process for joining 316 L stainless steel sheets and to clearly understand the process, a new numerical model for a combined heat source, based on a Gaussian surface and Gaussian cylinder, was developed using ANSYS software. …”
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