Spatial Modeling of Trace Element Concentrations in PM₁₀ Using Generalized Additive Models (GAMs) by Mariacarmela Cusano, Alessandra Gaeta, Raffaele Morelli, Giorgio Cattani, Silvia Canepari, Lorenzo Massimi, Gianluca Leone

“…A stepwise procedure was followed to determine the model with the optimal set of covariates. A leave-one-out cross-validation method was used to estimate the prediction error. …”
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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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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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Dynamic participation in local energy communities with peer-to-peer trading [version 2; peer review: 2 approved, 2 approved with reservations] by Theresia Perger, Hans Auer

“…., as peer-to-peer trading) are on the rise due to increasingly decentralized electricity generation and favorable adjustment of the legal framework in many European countries. Methods This work applies a bi-level optimization model for dynamic participation in peer-to-peer electricity trading to determine the optimal parameters of new participants who want to join an energy community, based on the preferences of the members of the original community (e.g., environmental, economic, or mixed preference). …”
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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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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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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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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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Research on site selection and capacity determination problem based on improved particle swarm algorithm by Xiaotong Mi, Qinyang Liu, Bo Geng, Yong Zhu

“…Abstract To promote the effective utilization of distributed power sources after grid connection and achieve the goal of maximizing energy transmission efficiency and minimizing cost, this paper proposes a scheme based on the integration of the improved particle swarm optimization algorithm and the improved ant colony optimization algorithm (IPSOACO). …”
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Application of the project method in foreign language teaching in the training of master’s degree students at a non-linguistic university (exemplified by «foreign language in the f... by Viktoria G. Grigorieva, Natalia Nazarova

“…Introduction of new areas of master’s programs in a non-linguistic university sets challenges for foreign language teachers to optimize the language training of the students. The article describes the experience of using a practical-oriented method in teaching the discipline «Foreign Language in the Professional Sphere» to Master’s Degree students of «Management of Museum and Exhibition Activities» at the Samara State Institute of Culture. …”
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Application of Electrical Resistivity Measurements for Continuous Monitoring of the Municipal Solid Waste Biodrying Process by Bongkoch Chungam, Hiroyuki Ishimori, Soydoa Vinitnantharat, Sirintornthep Towprayoon, Chart Chiemchaisri, Komsilp Wangyao

“…While the lack of proper real-time monitoring methods hinders the optimization of the biodrying processes. …”
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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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Simultaneous Quantification of Bioactive Triterpene Saponins Calenduloside E and Chikusetsusaponin IVa in Different Plant Parts of Ten Amaranthaceae Species by UPLC-ESI-MS/MS Metho... by Karolina Grabowska, Paweł Żmudzki, Agnieszka Galanty, Irma Podolak

“…A sensitive, specific, and rapid UPLC-MS/MS method was developed and validated for the simultaneous quantification of CE and ChIVa. …”
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Research on the Operation Strategy on Heating Mode of Hybrid Power-driven Heat Pump with Gas Engine and Motor by Shang Sheng, Shi Wenxing, Wang Baolong, Li Xianting

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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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Biomass to sustainable biofuels: A novel hybrid process integrating CO₂ CPU and high-temperature syngas for methanol/DME synthesis—4E analyses with multi-objective optimization (NS... by Mohammad Mirani, Farhad Shahraki, Mohammad reza Sardashti Birjandi, Mehdi Bayat, Asiyeh Sheikhzadeh-Takabi

“…The system innovatively integrates high-purity CO₂ (>97%) from a Compression and Purification Unit (CPU) with high-temperature syngas (∼1000°C) from biomass gasification to synthesize methanol (MeOH) and dimethyl ether (DME) as biofuels. This method creatively combines CPU-sourced CO₂ and syngas use with Rankine cycle technology, seeking to reduce reliance on fossil fuels while improving efficiency and sustainability. …”
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Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty by Yuan Ma, Yongping Li, Guohe Huang, Yuanrui Liu, Yufei Zhang

“…In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. …”
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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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Dynamic Monitoring and Precision Fertilization Decision System for Agricultural Soil Nutrients Using UAV Remote Sensing and GIS by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

“…We propose a dynamic monitoring and precision fertilization decision system for agricultural soil nutrients, integrating UAV remote sensing and GIS technologies to address the limitations of traditional soil nutrient assessment methods. The proposed method combines multi-source data fusion, including hyperspectral and multispectral UAV imagery with ground sensor data, to achieve high-resolution spatial and spectral analysis of soil nutrients. …”
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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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