Computational Tool for Curve Smoothing Methods Analysis and Surface Plasmon Resonance Biosensor Characterization by Mariana Rodrigues Villarim, Andréa Willa Rodrigues Villarim, Mario Gazziro, Marco Roberto Cavallari, Diomadson Rodrigues Belfort, Oswaldo Hideo Ando Junior

“…To address these limitations, this study presents the development of an open-source computational tool to optimize SPR biosensor characterization, implemented using MATLAB App Designer (Version R2024b). …”
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Establishment and Application of MCRV Detection Method for Larvae of Mud Crab, Scylla paramamosain by Xiyu JIN, Shouhu LI, Yue WU, Xu CHU, Wei WANG, Wenhong FANG, Xincang LI

“…Therefore, in this study, we selected the highly expressed VP11 of MCRV as the target gene, designed specific primers and TaqMan-MGB probes, and established a qRT-PCR detection method suitable for MCRV in mud crab larvae by optimizing the reaction system and procedure, using standard plasmid and RNA as the templates. …”
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Research on Intelligent Hierarchical Energy Management for Connected Automated Range-Extended Electric Vehicles Based on Speed Prediction by Xixu Lai, Hanwu Liu, Yulong Lei, Wencai Sun, Song Wang, Jinmiao Xiang, Ziyu Wang

“…Focusing on connected car-following scenarios, acceleration sequence prediction is performed based on Kalman filtering and preceding vehicle acceleration. A dual-layer optimization strategy is subsequently developed: in the upper layer, optimal speed curves are planned based on road network topology and preceding vehicle trajectories, while in the lower layer, coordinated multi-power source allocation is achieved through <i>EMS_MPC-P</i>, a Bayesian-optimized model predictive EMS based on Pontryagin’ s minimum principle (PMP). …”
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Loss Analytic Calculation and Error Analysis for HVDC Converter by Biaojun LI, Quanzhou XIANG, Chuantao YAO, Qiong YU

“…The influence factors associated with loss and their weights are extracted, which provides a basis for targeted loss optimization. Considering that the nearest level control strategy is adopted for the converter valve in practical engineering, the error sources of the analytical calculation method are analyzed, and a feasible and high precision loss calculation method based on waveform data of project site is proposed.…”
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Distributionally robust optimal scheduling of flexible distribution networks considering dynamic spatio-temporal correlation of renewable energy by Shunxiang Yu, Xiaoming Dong, Chengfu Wang, Tianguang Lu

“…Existing methods often treat spatio-temporal correlations among RESs in a static manner, neglecting their dynamic variations and resulting in suboptimal dispatch strategies. …”
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A Comprehensive Review of Sizing and Energy Management Strategies for Optimal Planning of Microgrids with PV and Other Renewable Integration by Fadi Agha Kassab, Rusber Rodriguez, Berk Celik, Fabrice Locment, Manuela Sechilariu

“…This article comprehensively reviews strategies for optimal microgrid planning, focusing on integrating renewable energy sources. …”
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Parameter Design and Transfer Characteristic Optimization of Floating-Ground Capacitive Voltage Divider for Wideband High Voltage Measurement by Senyue Qiu, Lei Qi, Xiangyu Zhang, Wuyu Zhang, Xiang Cui, Ningming Guo

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Assessment and Optimization of Ecological Networks in Trans-Provincial Metropolitan Areas—A Case Study of the Xuzhou Metropolitan Area by Yijia Zhao, Peiyuan Zhang, Hao Xu, Wei Liu

“…In this study, we optimized the identification of ecological sources at the metropolitan area scale by constructing the ‘MIE’ model combined with the threshold analysis method, identified the core ecological sources in the Xuzhou Metropolitan Area, a typical cross-provincial metropolitan area in China, and then extracted the ecological corridors by using the Linkage Mapper tool based on this method. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…When attempting to classify data with a high degree of uncertainty, many researchers have turned to heuristic approaches and machine learning (ML) methods. We propose an entirely new ML method in this paper by fusing the Radial Basis Function (RBF) network based on ant colony optimization (ACO). …”
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Revitalizing Astronomical Azimuth Determination: Integrating Modern Computing with Traditional Techniques by Luigi Barazzetti

“…This work aims to simplify these calculations by providing open-source Python scripts that automate the process. These scripts also simulate the achievable precision, allowing users to plan optimal observations in advance. …”
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Energy Management Control Strategy Based on Harris Hawks Optimization Technique for Fuel Cell Hybrid Electric Vehicle by Gondu Vykunta Rao, Ankit Soni, Aruna Bharathi, Baratam Murali, Vanjarapu Vykunta Rao

“…This paper will discuss the combination of Harris Hawks Optimization (HHO) for the energy management and control of these source systems, for the constraint of mandated sources, and to ensure stability. …”
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Experiences of people with long COVID: Symptoms, support strategies and the Long COVID Optimal Health Programme (LC‐OHP) by Hiyam Al‐Jabr, David R. Thompson, David J. Castle, Chantal F. Ski

“…There are still no standardised diagnostic criteria or treatment approaches for managing LC. The LC‐Optimal Health Programme (LC‐OHP) was designed to support the mental wellbeing and physical health of people with LC. …”
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Energy Management of Electric–Hydrogen Coupled Integrated Energy System Based on Improved Proximal Policy Optimization Algorithm by Jingbo Zhao, Zhengping Gao, Zhe Chen

“…However, the inherent uncertainties of renewable energy sources present significant challenges to optimal energy management in the EHCS. …”
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A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications by Ghulam Abbas, Arshad Ali, Mohamed Tahar Ben Othman, Muhammad Wasim Nawaz, Ateeq Ur Rehman, Habib Hamam

“…In this research, we proposed a novel optimized energy pattern factor method (NOEPFM) based on the trust-region-dogleg algorithm and applied it to wind speed data of four cities of the Southern region of Punjab, Pakistan, to determine WD parameters, i.e., shape k and scale c parameters. …”
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A holistic approach to enhance reliability and profitability through reliable efficiency index optimization and renewable energy integration by Hossein Alizadeh, Alimorad Khajehzadeh, Mahdiyeh Eslami, Mehdi Jafari Shahbazzadeh

“…The epsilon-constrained method was employed to optimize system operations, incorporating uncertainty in RES outputs and market conditions. …”
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Mechanical equipment fault diagnosis method based on improved deep residual shrinkage network. by Shaoming Qiu, Liangyu Liu, Yan Wang, Xinchen Huang, Bicong E, Jingfeng Ye

“…To address this issue, we present a fault diagnosis method, CCSDRSN, which exhibits strong noise resistance. …”
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Performance of Various Voltage Stability Indices in a Stochastic Multiobjective Optimal Power Flow Using Mayfly Algorithm by Rebeccah Kyomugisha, Christopher Maina Muriithi, George Nyauma Nyakoe

“…The performance of voltage stability indices in the multiobjective optimal power flow of modern power systems is presented in this work. …”
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Optimizing Physical Conditioning Programs for Badminton Athletes: A Comprehensive Review of Training Strategies - A Systematic Review by Fadli Ihsan, Ahmad Nasrulloh, Sigit Nugroho, Zhanneta Kozina

“…This study seeks to systematically analyze these essential elements, driven by the imperative to comprehend critical factors for crafting optimized training programs to achieve peak performance efficiently and effectively.Materials and Methods: This study used a systematic approach to review various literature sources, journal articles, and empirical studies related to the achievements of badminton athletes at the international level. …”
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Research on adaptive motion methods of flexible knee joints based on the artificial potential field by LUO Tianhong, LI Chaoyang, MA Xiangyu, FU Qiang, FANG Shangchen

“…ObjectiveConsidering the tracking error of the motion trajectory of the flexible knee joint and the influence of the flexibility on the joint motion, an adaptive impedance control method based on the artificial potential field (APF) was proposed.MethodsThe method took the pneumatic artificial muscle as the power source, and by establishing a kinetic model between the human-machine interaction moment and the knee joint motion angular velocity, the size of the impedance control parameter could be adjusted in real time, so as to realize the following of the motion of the exoskeleton knee joint and the human leg; the control parameter was optimized using the APF concept to enhance the effect of the motion following, and the effectiveness of the algorithm was verified by simulation and test.ResultsThe results show that the proposed APF-based adaptive impedance control method enables the exoskeleton to adaptively track the human motion trajectory and can reduce the error of trajectory tracking, thus improving the suppleness of the flexible knee joint control and enhancing the human-machine synergy of the system.…”
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Methods of sinus rhythm restoration in patients with persistent and long-standing persistent atrial fibrillation by L. M. Kalmanson, E. I. Barashkova, I. V. Shlyk

“…Conclusion. The choice of the optimal method for restoring sinus rhythm in patients with persistent AF should be individualized.…”
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