Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
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Epidemiological Rationale for Changing the Strategy and Tactics of Vaccination of Pertussis in Current Conditions by K. A. Subbotina, I. V. Feldblium, E. A. Kochergina, N. A. Lechtina

“…A research objective – definition of the main directions of improvement of epidemiological control of a pertussis on the basis of studying of manifestations of epidemic process and its determinants. Materials and methods. The analysis of incidence is carried out according to official statistics in 19 years, the population antipertussoid immunity is studied by results of routine serological monitoring and specially organized screening researches. …”
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Large-scale activity-based demand generation modeling: A literature review and exploration of potential approaches by Ngoc An Nguyen, Joerg Schweizer, Federico Rupi

“…Furthermore,potential research directions are also discussed, including the development of travel models for large-scale scenarios using big data sources and the optimization of their integration with dynamic traffic assignment. …”
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Application of the multiagent approach for modeling integrated energy systems by V. A. Stennikov, E. A. Barakhtenko, G. S. Mayorov

“…Traditionally, the considered energy systems unite large energy sources, such as hydro, thermal power plants, combined heat and power plants, boiler plants and electric and pipeline networks distributed over a large area. …”
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Identifying Key Parameters for Reducing Recombination Losses at the p-n Junction of Chalcopyrite Thin-Film Solar Cells by Amala Elizabeth, Harry Mönig

“…This allows to develop specific strategies to reduce interface recombination losses for device optimization and improved solar-cell efficiencies.…”
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Analysis of the Structure of Nonlinear Distortions at Baseband Pulse Impacts Using Behavioral Nonlinear Models of Electrical Circuits by E. V. Semyonov

“…This, as a result, complicates the optimization of devices.Aim. To develop an approach capable of determining the contribution of various sources to the nonlinear distortion of baseband pulse signals.Materials and methods. …”
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The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…Despite growing interest in this area, the relationship between green finance and the optimization of end-use energy consumption remains underexplored, particularly in the context of regional disparities.MethodsThis study investigates the impact of green finance on end-use energy consumption structure across 30 provinces in China from 2014 to 2021. …”
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Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…Accurate wind energy forecasting is essential for energy planning, trading, and grid optimization. This study presents short-term, medium-term, and long-term –wind power forecasts for the Söke–Çatalbük Wind Power Plant in Aydın, Turkey, using meteorological data and production records from 2018 to 2022. …”
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Robust fuzzy dynamic integrated environmental-economic-social scheduling considering demand response and user’s satisfaction with electricity under multiple uncertainties by Hong Zhang, Qianwei Xi, Lei Chen, Yong Min, Xiongxiong Fan, Wenjin Fang, Nan Tian, Fei Xu

“…Based on the improved IEEE-39 node system to verify the validity and superiority of the price-based demand response uncertainty modelling method and multiple uncertainty modelling method in this paper, as well as the reasonableness and necessity for considering the reliability in the user’s comprehensive satisfaction with electricity and the multiple uncertainties in power system optimal scheduling.…”
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Secure energy outage analysis of UAV swarm-based network. by Tien Hoa Nguyen, Hoang Vu Tran

“…To address these challenges, we propose two energy-efficient secure UAV selection methods aimed at optimizing the communication network's physical layer security. …”
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Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Based on the summary of the existing results, this paper proposes future development directions including real-time prediction and closed-loop optimization, multi-source data fusion, physical consistency modeling and interpretability enhancement, model migration, and online updating capability. …”
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Microwave-Assisted Valorization of Tomato Pomace for Pectin Recovery: Improving Yields and Environmental Footprint by Nikolina Golub, Emerik Galić, Kristina Radić, Nada Smigic, Ilija Djekić, Sandra Pedisić, Dubravka Vitali Čepo

“…The response surface methodology was used to model the optimization process. The physico-chemical properties of pectin were determined using titrimetric methods and FTIR spectroscopy. …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…The proposed research applies a few Machine Learning ways to anticipate Parkinson's disease by human guidance, with the dataset acting as the source of the process understanding. By applying the hyperparameter optimization process, the accuracy is estimated. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…Through a thorough analysis of relevant literature, we uncover the research trends and collaboration patterns in this field, which can provide valuable references and insights for further in-depth exploration in the same field.MethodsUsing the Web of Science (WOS) as the data source, this study explores academic development in a specific field from December 2013 to December 2023. …”
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Refining of the oil from asphaltene-resins and paraffins by B. R. Safiullin, V. О. Коzelkova, R. S. Каshaev, О. V. Коzelkov

“…Made the calculation of the rotating magnetic resonance source, its optimization and physical, mathematical modeling of its function in Matlab Simulink program. …”
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State Policy of Improving Medical Care for Newborns in Conditions of Medical Reform in Ukraine by Iryna Didenko, Tetyana Moroz, Lesya Prasol

“…General scientific theoretical methods were used to solve the outlined tasks and achieve the goal of the research: study and analysis of scientific sources on the research problem and generalization of data. …”
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SMART Based Multi-Point Matching Assisted Approximation of Renewable Interconnected Power System by Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu

“…In the interconnected power systems, the renewable based hydro power generating plants are generally used as one of the effective renewable energy source due to its capability of high response time against the variable loading conditions in comparison with other renewable based energy sources. …”
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From laboratory to field: cross-domain few-shot learning for crop disease identification in the field by Sen Yang, Quan Feng, Jianhua Zhang, Wanxia Yang, Wenwei Zhou, Wenbo Yan

“…Furthermore, extensive evaluation on a multi-domain datasets demonstrated that multi-domain learning exhibits stronger domain transferability compared to single-domain learning when there is a large domain gap between the source and target domain. These comparative results suggest that optimizing the CD-FSL method from a data perspective is highly effective for solving disease identification tasks in field environments. …”
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A new approach for bin packing problem using knowledge reuse and improved heuristic by Jie Fang, Xubing Chen, Yunqing Rao, Yili Peng, kuan Yan

“…In this study, the similarity measurement method based on the twin neural network model is used to evaluate the similarity of pieces in the source task and the target task. …”
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Characterization of strike-slip fault zones by gradient-driven signed pressure force model in the Northeast Sichuan Basin by Siyao Li, Siyao Li, Xuri Huang, Xuri Huang, Shuhang Tang, Shuhang Tang, Guanghui Wu, Liang Feng, Mengcheng Li, Mengcheng Li

“…To address these challenges, this paper proposes a novel fault characterization approach using the Gradient-Driven Signed Pressure Force (G-SPF) Active Contour Model (ACM), an image-processing-based boundary identification technique. The method begins by selecting tensor and symmetry as the primary optimization attributes. …”
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