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  1. 1781

    Human collective emotional excess by novel Gaidai hypersurface risk prognostics methodology by Oleg Gaidai, Shicheng He, Jiayao Sun, Jinlu Sheng

    Published 2025-05-01
    “…The latter facilitated the investigation of intrinsic physiological multi-modal patterns. Current research advocates a state-of-art hypersurface multi-variate human reliability approach, that can contribute to e.g., human error diagnostics, Health, Safety & Environment (HSE) studies within a wide range of industries, affected by human-related (emotional) risks. …”
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  7. 1787

    New insights for statistical analysis of blood pressure response to exercise in elderly hypertensive women by Dahan da Cunha Nascimento, Cristiane Rocha Silva, Denis Cesar Leite Vieira, Brad Jon Schoenfeld, Jonato Prestes

    Published 2019-03-01
    “…In addition, the use of complementary statistics, as control of regression to the mean, standard error of measurement and smallest real difference presents new insights for a better understanding of the practical implications of data interpretation in exercise research. …”
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  8. 1788
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  10. 1790

    Tractor Path Tracking Control Method Based on Prescribed Performance and Sliding Mode Control by Liwei Zhu, Weiming Sun, Qian Zhang, En Lu, Jialin Xue, Guohui Sha

    Published 2025-08-01
    “…This research lays a foundation for the intelligent development of agricultural machinery.…”
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  11. 1791
  12. 1792

    Dynamic Characteristics Analysis and Optimization Design of Two-Stage Helix Planetary Reducer for Robots by Wenzhao Lin, Dongdong Chang, Hao Li, Junhua Chen, Fangping Huang

    Published 2025-03-01
    “…The dynamic characteristics of high-precision planetary reducers in terms of vibration response and dynamic transmission error have a significant impact on positioning accuracy and service life. …”
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  13. 1793
  14. 1794

    Evaluating the Booster Grant’s Impact on YouthMappers’ Climate Activism and Climate Education in Sri Lanka by Ibra Lebbe Mohamed Zahir, Suthakaran Sundaralingam, Meerasa Lewai Fowzul Ameer, Sriram Sindhuja, Atham Lebbe Iyoob

    Published 2025-06-01
    “…A Radial Basis Function (RBF) model revealed moderate predictive accuracy, excelling in variables like CAE and TSR but indicating higher error rates in SPI and CEC. Practical outcomes include flood risk maps, curriculum-integrated teaching schemes, and localized mapping workshops. …”
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  15. 1795

    Experimental Study of a Transmission System Based on FBMC/OQAM by R. R. Abenov, E. V. Rogozhnikov, Ya. V. Kryukov, D. A. Pokamestov, P. A. Abenova

    Published 2021-12-01
    “…Computer simulation modeling in Matlab and experimental research using Keysight and Rohde & Schwarz certified measuring instruments.Results. …”
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  16. 1796

    A hybrid method for forest aboveground biomass estimation: fusion of individual tree- and area-based approaches over northeast China by Zhen Zhen, Xiang Li, Ye Ma, Yinghui Zhao, Xiaochun Wang

    Published 2025-12-01
    “…However, with advancements in individual tree detection technology and the availability of multi-platform remote sensing data, the individual tree-based approach (ITA) presents new opportunities for accurate, nondestructive AGB estimation. Nevertheless, research on integrating ITA with ABA for scaling AGB estimates from individual trees to the regional level remains limited. …”
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  17. 1797
  18. 1798

    The multifaceted role of the inferior colliculus in sensory prediction, reward processing, and decision-making by Xinyu Du, Haoxuan Xu, Peirun Song, Yuying Zhai, Hangting Ye, Xuehui Bao, Qianyue Huang, Hisashi Tanigawa, Zhiyi Tu, Pei Chen, Xuan Zhao, Josef P Rauschecker, Xiongjie Yu

    Published 2025-01-01
    “…Moreover, our findings demonstrate reward prediction errors within the IC, highlighting its complex integration in auditory and reward processing. …”
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    H-ConvLSTM to Estimate Reference Evapotranspiration From Air Temperature and Relative Humidity by Abdul Haris, M. Marimin, Sri Wahjuni, Budi Indra Setiawan

    Published 2025-01-01
    “…A few deep learning architecture models are employed by researchers in the estimation of evapotranspiration reference (ETo), including Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). …”
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