Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

“…Methods of multi-criteria and single-criteria optimization for finding the optimal values of electrical losses in an electromechanical system, methods for solving first-order differential equation systems, and analytical methods. …”
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Dynamic Programming-Based Approach to Model Antigen-Driven Immune Repertoire Synthesis by Alexander S. Bratus, Gennady Bocharov, Dmitry Grebennikov

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Forward programming of hPSCs to neutrophils using chemically defined media by Hayley E. Hall, Xiaoping Bao, Cheng Dong, Xiaojun Lance Lian

“…This demand underscores the need for efficient, reliable, and robust methods of PMN production. In this study, we evaluated three forward programming protocols and one directed differentiation protocol aimed at generating PMNs from human pluripotent stem cells (hPSCs). …”
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Genetic Structure and Optimal Population Size of Wild and Mass-Selected Silver Pomfret (<i>Pampus argenteus</i>) in China: The Implications for Conservation and Selection Breeding... by Mengya Xiao, Haipeng Yu, Yong Deng, Weixu Jiang, Yuanwen Zhang, Minglu Gao, Cheng Zhang, Jiabao Hu, Man Zhang, Shanliang Xu, Danli Wang, Yajun Wang

“…This study implemented a comprehensive molecular strategy to evaluate genetic parameters in wild populations along China’s coast and three successive selected generations. …”
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Empirical Study on Cost–Benefit Evaluation of New Energy Storage in Typical Grid-Side Business Models: A Case Study of Hebei Province by Guang Tian, Penghui Liu, Yang Yang, Bin Che, Yuanying Chi, Junqi Wang

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The Impacts of Water Policies and Hydrological Uncertainty on the Future Energy Transition of the Power Sector in Shanxi Province, China by Xingtong Chen, Jijian Lian, Qizhong Guo

“…The dual-control policies on total water consumption and water intensity are systematically examined for their differential constraints and stimulative effects on various power generation types. …”
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Integrating AI Deep Reinforcement Learning With Evolutionary Algorithms for Advanced Threat Detection in Smart City Energy Management by Fenghua Liu, Xiaoming Li

“…This study explores how the synergy between DRL and EAs, including Genetic Algorithms (GAs) and Differential Evolution (DE), can enhance the efficiency and sustainability of smart city energy systems. …”
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Security-Enhanced Image Encryption: Combination of S-Boxes and Hyperchaotic Integrated Systems by Renjie Song, Haixia Zhao

“…A three-step diffusion mechanism is adopted in the encryption process, and the S-boxes obtained from the search of the particle swarm optimization algorithm are fully integrated with the chaotic sequences generated by the hyperchaotic integrated system in the first two steps of diffusion to improve the security and randomness of the encryption algorithm. …”
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MODIFICATION OF STUDENT ASSESSMENT CRITERIA AS A CONDITION OF MOTIVATION INCREASING FOR PHYSICAL EDUCATION LESSONS by E. M. Revenko

“…The obtained experimental data can serve as a basis for the development of differentiated criteria for evaluating student performance in physical education classes.Practical significance. …”
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Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion by Xu Li, Xinlong Wang, Chunlong Yao, Yang Li

“…By employing multi-prompt fusion, the model fully leverages the complementary strengths of multiple prompts, avoiding the incompleteness and instability associated with using a single prompt. In addition, to optimize model performance, this paper designs aspect term and opinion term recognition as index generation tasks. …”
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A multi-dimensional performance evaluation of large language models in dental implantology: comparison of ChatGPT, DeepSeek, Grok, Gemini and Qwen across diverse clinical scenarios by Xing Wu, Guofei Cai, Bin Guo, Leizi Ma, Siqi Shao, Jun Yu, Yuchen Zheng, Linhong Wang, Fan Yang

“…Conclusion This study reveals diverse LLMs differentiated capabilities in dental implantology, recommending context-specific model selection to different clinical scenario, as Gemini-2.0-flash-Thinking demonstrates optimal performance, notably for high-level clinical support. …”
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Early markers of induced pluripotent stem cell hematopoietic development by O. N. Sheveleva, T. A. Nenasheva, I. V. Lyadova

“…Here, we evaluated whether iPSC hematopoietic/myeloid differentiation can be monitored by means of flow cytometry. …”
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Nighttime light intensity and brightness suitability in urban functional zones by Ming Liu, Ruicong Li, Yiwei Li, Ezzaddeen Ali Mohammed Saeed AL-Mowallad, Chenglong Wu, Wenjing Wang

“…This study takes the main urban area of Dalian as an example, integrates Point of Interest and OpenStreetMap data to generate functional zone samples, and proposes a multi-scale evaluation framework at the levels of administrative districts, streets, and blocks, combined with Luojia-1 night-time remote sensing imagery. …”
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Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions by Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Peijin Zeng, Peijin Zeng, Peijin Zeng, Xinyue Li, Kelvin Kam-Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan

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Pricing basket options using Monte Carlo simulation employing Cholesky decomposition and variance reduction techniques under the 2D stochastic Black–Scholes equation by Youness Saoudi, Khalid Jeaab, Hanaa Hachimi

“…This paper examines and applies the Monte Carlo approach to the two-dimensional Black–Scholes partial differential equation, including the Cholesky decomposition to generate correlated Brownian motions to evaluate options on two underlying assets. …”
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Perioperative management in acute and chronic spinal cord injury, narrative review by Israel Valdez-Resendiz, Estefany Nohemí Salgado-Camarillo, Fernanda Hernández-Morales, César Alejandro Martínez-de los Santos, Chiara Robba

“…A conscientious and detailed preoperative evaluation allows to identify, injury level, evolution time, airway evaluation, cervical stability, hemodynamic status, ventilatory function and associated injuries must be determined. …”
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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…Correct extraction of the equivalent circuit model parameters of photovoltaic modules is of great significance for power prediction, fault diagnosis, and system optimization of photovoltaic power generation systems. …”
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Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…The results demonstrate that the proposed KFE approach adheres to benchmark data and captures additional significant frames. Compared to Differential Evolution (DE) techniques and Deep Learning (DL) models from the literature, this recommended algorithm demonstrates superior efficiency, as verified through quantitative and qualitative evaluation metrics. …”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…Although the WFTS method has proven effective, there are challenges in improving the accuracy of the generated forecasts. There are two commonly applied approaches: the Differential Evolution (DE) algorithm and Fuzzy C-Means (FCM). …”
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Combined Heat and Power Dynamic Economic Dispatch with Emission Limitations Using Hybrid DE-SQP Method by A. M. Elaiw, X. Xia, A. M. Shehata

“…CHPDEED determines the optimal heat and power schedule of committed generating units by minimizing both fuel cost and emission simultaneously under ramp rate constraints and other constraints. …”
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