A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…By comprehensively applying parameters such as source-target association weight, leakage risk probability, and target overlap area, a calculation method of the association degree between the source target and the leaked crude oil target is proposed. …”
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The impact of digitalization on logistics costs of companies by S. A. Frolkin

“…The purpose of the study is to give the author’s definition of digitalization in the logistics sphere, to determine its role in the processes occurring in the industry, and to reflect the impact of these processes on companies’ costs. Using the method of systematic analysis of scientific sources and regulatory documents governing the sphere, the trends of digital transformation of companies in the field of logistics, which are relevant today, have been investigated. …”
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Frequency regulation of two-area thermal and photovoltaic power system via flood algorithm by Serdar Ekinci, Davut Izci, Cebrail Turkeri, Aseel Smerat, Absalom E. Ezugwu, Laith Abualigah

“…The proposed FLA-based PI controller achieved a reduction in maximum overshoot by 28.3 %, a decrease in settling time by 23.4 %, and an improvement in steady-state error by 15.7 % compared to the next best-performing optimization method. These results demonstrate the significant advantages of the FLA in optimizing frequency regulation.…”
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A study of the impact of policy-based agricultural insurance on farmers’ willingness to adopt pro-environmentally production behaviors: evidence from Jiangxi Province in China by Yanzhe Li, Kai Hu, Huiping Wu, Wei Luo, Zhaoguang Li

“…The key to solving the problem of agricultural non-point source pollution is to change farmers’ past agricultural production methods at the source of production and make them adopt pro-environmental agricultural production behaviors. …”
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Simple, sensitive and specific detection method for polystyrene nanoplastics in food matrix based on peptide-modified Fe3O4@Au magnetic nanoparticles by Beibei Wang, Ling Sun, Kai Liu, Di Wu, Jinqiu Wang, Fang Geng

“…MPs and NPs have been detected in water sources and food products. Due to the wide variety of NPs, and low concentrations in environment and food samples, the rapid and selective detection of NPs still remains a challenge. …”
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Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods by Fernanda Cristina Barbosa Lana, Carolina Coimbra Marinho, Bruno Barbosa Miranda de Paiva, Lucas Rocha Valle, Guilherme Fonseca do Nascimento, Leonardo Chaves Dutra da Rocha, Marcelo Carneiro, Joanna d‘Arc Lyra Batista, Fernando Anschau, Pedro Gibson Paraiso, Frederico Bartolazzi, Christiane Corrêa Rodrigues Cimini, Alexandre Vargas Schwarzbold, Danyelle Romana Alves Rios, Marcos André Gonçalves, Milena Soriano Marcolino

“…Lymphopenia had its association strength increased over time for all outcomes, optimal threshold for death prediction of 643 × 109/L. …”
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A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings by Peter Klanatsky, François Veynandt, Christian Heschl

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Review on key technologies for coordinated operation of microgrid cluster by LOU Guannan, WANG Lei, LIN Da, DU Yuhua

“…With the large-scale integration of distributed renewable energy （DRE）， the operational complexity and control difficulty of microgrid cluster significantly increase. A reasonable multi-source coordinated control strategy is critical to ensuring the stable， reliable， and efficient operation of the system and is also the foundation for achieving optimal configuration and intelligent scheduling. …”
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Simulation study of the influence of water equivalent ratio energy dependence of absorber materials on measurement of multilayer ionization chamber by GU Shuaizhe, CHEN Zhiling, LIN Ye, LIU Qi, BAI Haobo, ZOU Yuhang, LI Xiufang, LI Deming

“…BackgroundThe Multilayer Ionization Chamber (MLIC) is an instrument in rapidly measuring the proton depth dose distribution, which is crucial for enhancing the efficiency of beam commissioning and daily quality assurance in treatment rooms.PurposeThis study aims to investigate the impact of the Water Equivalent Ratio (WER) energy dependence of various absorber materials on MLIC measurements, thereby improving the accuracy of depth dose distribution measurements.MethodsBased on the fixed beam source parameters in the beam therapy room of Shanghai Advanced Proton Facility (SAPT), a physical model of MLIC was constructed using Monte-Carlo method. …”
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Comparison of magnetron sputtering systems for high-rate deposition of thick copper layers for microelectronic applications by M. V. Nazarenko

“…The choice of the deposition method depends on the problem to be solved. The rotatable magnetron system can be considered optimal in terms of cost, deposition rate, and quality of the deposited layers. …”
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Investigating the Electrochemical Characteristics of Lithium Vanadium Phosphate Cathode Synthesized by the Solution Combustion Method Utilizing Cetyltrimethylammonium Bromide as a... by Mohammad Tahernejad Javazm, Masoud Hasheminiasari, Seyed Morteza Masoudpanah

“…Introduction and Objectives: Optimization of vanadium phosphate compounds through the control of synthesis methods plays a key role in enhancing their performance. …”
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Off-Design Analysis of Power-to-Gas System Based on Solid-Oxide Electrolysis with Nominal Power of 25 kW by Grzegorz Koziński, Jarosław Milewski, Jakub Kupecki

“…The deployment of large installed power capacities from intermittent renewable energy sources requires balancing to ensure the steady and safe operation of the electrical grid. …”
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Innovative Technologies in the Monitoring of the Age-Related Cataract by T. N. Kiseleva, M. S. Zaitsev

“…Current high-informative methods of quantitative assessment of the optical density of lens are helpful in determination of indications for surgery, the optimization of phacoemulsification settings and prevention of intraoperative complications. …”
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Strategic Demand Response for Economic Dispatch in Wind-Integrated Multi-Area Energy Systems by Peng Li, Li Wang, Peiqiang Zhang, Peng Yan, Chongyang Li, Zhe Nan, Jun Wang

“…Simulation results demonstrate that the proposed approach significantly improves system efficiency by balancing supply-demand mismatches and reducing reliance on external power sources. Compared to conventional methods, the DR capabilities of industrial and commercial loads have increased by 8.08% and 6.69%, respectively, which is primarily due to enhanced utilization of wind power and optimized storage deployment. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…These methods face challenges in scalability, interpretability, and their ability to incorporate domain-specific knowledge into analytical pipelines, limiting their utility in practical applications.MethodsTo address these gaps, we propose a novel approach combining the Dynamic Medical Graph Framework (DMGF) and the Attention-Guided Optimization Strategy (AGOS). …”
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CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…This study introduces a novel CART-ANOVA (Cartesian-ANOVA) hyperparameter tuning framework, which differs from traditional optimization methods by systematically integrating statistical significance testing (ANOVA) with the Cartesian product of hyperparameter values. …”
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A Versatile Algorithm for Autofocusing SAR Images by A. A. Monakov

“…This method has been referred as the MM optimization in scientific literature. …”
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ANALYSIS OF THERMOTECHNICAL CHARACTERISTICS OF HYDROCARBON FUEL VARIABLE COMPOSITION by E. R. Saifullin, S. A. Nazarychev, A. V. Gazeykina, Y. V. Vankov, I. V. Larionova

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A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters by Saad Belgana, Handy Fortin-Blanchette

“…This paper presents a novel adaptive droop control strategy integrating artificial neural networks and particle swarm optimization to enhance microgrid performance. Unlike prior methods that optimize artificial neural network parameters, the proposed approach uses particle swarm optimization offline to generate optimal dq−axis voltage references that compensate for line effects and load variations. …”
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Bio-Inspired Fine-Tuning for Selective Transfer Learning in Image Classification by Ana Davila, Jacinto Colan, Yasuhisa Hasegawa

“…However, discrepancies between source and target domains can hinder effective transfer learning. …”
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