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  1. 821

    Branch error reduction criterion-based signal recursive decomposition and its application to wind power generation forecasting. by Fen Xiao, Siyu Yang, Xiao Li, Junhong Ni

    Published 2024-01-01
    “…This decomposition method is combined with commonly used single forecasting models and applied to the wind power generation forecasting task. …”
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    Determinants of Small-Scale Irrigation Use for Poverty Reduction: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia by Zekarias Zemarku, Mulumels Abrham, Elias Bojago, Tsegeye Bojago Dado

    Published 2022-01-01
    “…A factor that influences small-scale irrigation use was investigated using a binary logistic regression model. The binary logistic regression model revealed that both the irrigation participants (37.3%) and the nonparticipant (62.7%) families had a combination of personal and demographic, economic, institutional, and social influencing factors that hinder their likelihood of using irrigation. …”
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  7. 827

    Attitudes of German General Practitioners Toward eHealth Apps for Dementia Risk Reduction: Qualitative Interview Study by Adrian Schultz, Melanie Luppa, Markus Bleckwenn, Steffi G Riedel-Heller, Andrea Zuelke

    Published 2025-01-01
    “…Understanding the perspective of GPs allows us to identify chances and challenges for implementing eHealth apps for dementia risk reduction. MethodsWe conducted semistructured expert interviews with 9 GPs working in an outpatient setting in and near Leipzig, Germany. …”
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    TORQUE RIPPLE RATE REDUCTION OF 6/4 SWITCHED RELUCTANCE MOTOR USING SLIDING MODE LEARNING CONTROLS by Zahraa Razaq Mohammed, Abdal-Razak Shehab Hadi

    Published 2024-11-01
    “…The research also includes the design of the controller and simulation results that demonstrate the effectiveness of the proposed method in reducing torque ripple. The learning sliding mode control with PID has a significant implication for reduction torque ripple rate improvement of about 70% compared to the conventional model. …”
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    Residue super-resolution convolutional neural network based complexity reduction for H.266 VVC intra-coding by A Dhanalakshmi, L Balaji, C Raja, Jayant Giri, Mubarak Alrashoud

    Published 2025-06-01
    “…Versatile Video Coding (VVC) promised to provide the same video quality as HEVC with 50 % bitrate reduction, which was introduced in 2020. Our suggested method for VVC Intra-coding is residue super-resolution convolutional neural network (RSR-CNN) utilizing downsampling and upsampling procedures. …”
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  15. 835

    Optimization of residual coalbed methane extraction wells and analysis of development and emission reduction benefits in the Songzao mining area by Yaxin Xiu, Qinjie Liu, Qiang Fu, Ke Yang, Miao Zhang, Benniu Wu

    Published 2025-04-01
    “…A feasibility evaluation model for CBM extraction from goafs in closed coal mines was constructed using the TOPSIS method, with results ranked as follows: Songzao coal mine > Fengchun coal mine > Shihao coal mine > Yuyang coal mine > Datong No. 1 coal mine. …”
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  16. 836

    Design of a lightweight broadband vibration reduction structure with embedded acoustic black holes in viscoelastic damping materials by Liang Xu, Jie Zhang, Jiang Li, Huaan Tian, Chaofan Zheng, Shaoyun Guo

    Published 2024-12-01
    “…Firstly, a finite element method-based vibration model is developed to analyse the propagation and attenuation characteristics of vibrations in a plate strip embedded with ABH-VDM. …”
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  17. 837

    Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences by Yihao Wang, Xuying Wang, Yixuan Zheng, Zeyuan Liu, Yu Zhang, Jiani Kang, Wenbo Xue, Jing Zhang, Yu Lei

    Published 2025-02-01
    “…To address the concern of optimization problem of China’s PM2.5 control and the limitation of computational efficiencies for traditional air quality models, we developed an integrated analysis framework to efficiently establish the identification and cost-benefit assessment of PM2.5 control pathways in China by constructing a rapid PM2.5 exposure response method based on the high-order decoupled direct method (HDDM) and coupling the sequential least square algorithm (SLSQP) and health impact assessment model. …”
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  18. 838

    Dual microbial inoculation for tripartite benefits: soybean biomass enhancement, root rot control and chlorothalonil residue reduction by Weiguang Jie, Weiguang Jie, Weiguang Jie, Min Zhang, Min Zhang, Yiwen Tan, Yiwen Tan, Haobo Yang, Wenkai Wang, Wenkai Wang, Lianbao Kan, Lianbao Kan

    Published 2025-08-01
    “…As global agriculture shifts toward an ecological civilization model, microbial fertilizers have emerged as a new strategy to promote plant growth and enhance soil fertility. …”
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  19. 839

    Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

    Published 2025-09-01
    “…The results demonstrate the method’s scalability and effectiveness in handling real-time EV integration while reducing operational costs and supporting voltage stability. …”
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    Energy Dissipation and Local, Story, and Global Ductility Reduction Factors in Steel Frames under Vibrations Produced by Earthquakes by Alfredo Reyes-Salazar, Edén Bojórquez, Juan Bojorquez, Federico Valenzuela-Beltran, Mario D. Llanes-Tizoc

    Published 2018-01-01
    “…According to the well-known ratio of the ductility reduction factor to ductility, this ratio should be unity for the models under consideration; the results of this study indicate that, for global response parameters, a value of 3/4 is more appropriate and that, for local response parameters, values larger than 2 can be reached; the implication of this is that using simplified methods like the static equivalent lateral force may result in nonconservative designs from a global structural point of view, but in conservative designs from a local point of view. …”
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