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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Using New York City’s Geographic Data in an Innovative Application of Generative Adversarial Networks (GANs) to Produce Cooling Comparisons of Urban Design by Yuanyuan Li, Lina Zhao, Hao Zheng, Xiaozhou Yang

“…However, existing research has not sufficiently explored the optimization of UBGS spatial configurations or their interactions with urban morphology. …”
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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

“…New methods of energy storage are essential to store excess electrical power when energy is not needed and later use it during high-demand periods, both in the short and long term. …”
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A Versatile Algorithm for Autofocusing SAR Images by A. A. Monakov

“…The objective function extremum can be found by fast optimization methods, whose realization is a challenging computing task.Aim. …”
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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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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 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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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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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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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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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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Costing of the breeding operations for the national maize programs in Eastern and Southern Africa by Biswanath Das, Biswanath Das, Samuel K. Mutiga, Samuel K. Mutiga, Olivia Odiyo, Olivia Odiyo, Sammy Madahana, Sammy Madahana, Dragan Milic, Dragan Milic, Lubasi Sinyinda, Kabamba Mwansa, Ronica Mukaro, Davison Chaingeni, Godfrey Asea, Daniel B. Kwemoi, Lennin Musundire, Lennin Musundire

“…Results show that the percentage of budgets allocated to germplasm development ranged from 25% (DR&SS) to 52% (NARO), with conventional methods costing 7 to 47 times more than doubled haploids. …”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…An improved transformer is integrated with the RNN model and softmax to enhance classification for Android malware recognition. Finally, the snake optimizer algorithm (SOA) method is employed to select the optimum parameter for the classification method. …”
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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…We introduce a novel method that reframes trajectory planning as an optimal puncture site identification problem by leveraging optical principles and computer rendering. …”
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Demand Response Model of Low‐Carbon Economy in Integrated Energy System Based on Carbon Flow Traceability by Yu Liu, Xinmei Wang, Songda Li, Lili Liu, Yi Zhao, Ming Yu

“…On this basis, according to the carbon flow index, the two‐stage optimal scheduling model of the power network with the coordination and interaction between the two sides of the source and load is established and solved. …”
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Preparation and Optimization of Mn²⁺-Activated Na₂ZnGeO₄ Phosphors: Insights into Precursor Selection and Microwave-Assisted Solid-State Synthesis by Xiaomeng Wang, Siyi Wei, Jiaping Zhang, Jiaren Du, Yukun Li, Ke Chen, Hengwei Lin

“…To facilitate the rapid synthesis of high-performance Mn²⁺-activated green phosphors, this research optimizes a microwave-assisted solid-state (MASS) method for the preparation of Na₂ZnGeO₄:Mn²⁺. …”
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Fuzzy Chance-Constrained Day-Ahead Operation of Multi-Building Integrated Energy Systems: A Bi-Level Mixed Game Approach by Jingjing Zhai, Guanbin Shen, Chengao Li, Haoming Liu

“…Further, a privacy-preserving hierarchical solution approach is presented to solve the bi-level optimization model, and the Shapley value method is adopted for benefits redistribution. …”
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