Showing 201 - 220 results of 2,825 for search '((reductive OR (reduction OR education)) OR ((predictive OR prediction) OR predicting)) stress', query time: 0.24s Refine Results
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    Experimental study on the performance of concrete linear cutting by high pressure water jet by Lan Zhang, Jingyan Lu, Haitao Li, Bo Li

    Published 2025-07-01
    “…The failure mechanism on the spalling surface of groove is mainly tensile failure caused by tensile stress, the failure mechanism on the lateral surface of groove is mainly shear failure caused by shear stress, and the failure mechanism on the bottom surface of groove is mainly compression-shear failure caused by compression-shear stress. …”
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    Free erythrocyte protoporphyrin fluorescence as an underrecognized prognostic marker of mortality in community-acquired pneumonia by Tomasz Wybranowski, Maciej Bosek, Marta Napiórkowska-Mastalerz, Szymon Radzin, Jerzy Pyskir, Grzegorz Przybylski, Leszek Kubisz, Stefan Kruszewski

    Published 2025-07-01
    “…The area under the ROC curve for FPP fluorescence in predicting mortality was 0.793 (95% CI 0.657–0.928; p < 0.0001), with 63% sensitivity and 94% specificity. …”
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  5. 205

    Model of formation of stress resistance of vocalists-performers in the system of additional professional education by N. V. Solovova, N. V. Sukhankina

    Published 2025-07-01
    “…The article deals with the issues of theoretical substantiation of the development of the model of formation of stress resistance of vocalists-performers in the system of additional professional education. …”
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  6. 206

    Advancing ocean monitoring and knowledge for societal benefit: the urgency to expand Argo to OneArgo by 2030 by Virginie Thierry, Hervé Claustre, Orens Pasqueron de Fommervault, Nathalie Zilberman, Kenneth S. Johnson, Brian A. King, Susan E. Wijffels, Udaya T. V. S. Bhaskar, Magdalena Alonso Balmaseda, Mathieu Belbeoch, Marine Bollard, Jacqueline Boutin, Phillip Boyd, Romain Cancouët, Fei Chai, Stefano Ciavatta, Rich Crane, Sophie Cravatte, Sophie Cravatte, Giorgio Dall’Olmo, Damien Desbruyères, Paul J. Durack, Andrea J. Fassbender, Katja Fennel, Yosuke Fujii, Florent Gasparin, Alberto González-Santana, Claire Gourcuff, Alison Gray, Helene T. Hewitt, Steven R. Jayne, Gregory C. Johnson, Nicolas Kolodziejczyk, Arnaud Le Boyer, Pierre-Yves Le Traon, Pierre-Yves Le Traon, William Llovel, M. Susan Lozier, John M. Lyman, John M. Lyman, Elaine L. McDonagh, Elaine L. McDonagh, Adrian P. Martin, Benoit Meyssignac, Kristian S. Mogensen, Tamaryn Morris, Peter R. Oke, Walker O. Smith, Breck Owens, Noé Poffa, Joanna Post, Dean Roemmich, Ryan R. Rykaczewski, Shubha Sathyendranath, Megan Scanderbeg, Carolyn Scheurle, Oscar Schofield, Karina von Schuckmann, James Scourse, Janet Sprintall, Toshio Suga, Toshio Suga, Marina Tonani, Esmee van Wijk, Esmee van Wijk, Xiaogang Xing, Hao Zuo

    Published 2025-06-01
    “…Providing a synergistic subsurface and global extension to several key space-based Earth Observation missions and GOOS components, OneArgo will enable biogeochemical and ecosystem forecasting and new long-term climate predictions for which the deep ocean is a key component. …”
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    A Comparative Study on Improved Arrhenius-Type and Artificial Neural Network Models to Predict High-Temperature Flow Behaviors in 20MnNiMo Alloy by Guo-zheng Quan, Chun-tang Yu, Ying-ying Liu, Yu-feng Xia

    Published 2014-01-01
    “…Based on the experimental data, the improved Arrhenius-type constitutive model and the artificial neural network (ANN) model were established to predict the high temperature flow stress of as-cast 20MnNiMo alloy. …”
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    Weakly-consolidated sandstone fracture conductivity under combined action of compressing, proppant embedding and fines plugging: experiments, model and application by Guolong Li, Changyin Dong, Haobin Bai, Yaotu Han, Qilong Zhang

    Published 2025-06-01
    “…Experimental results demonstrate a significant decline in fracture conductivity with increasing closure stress, primarily governed by closure pressure, proppant size, and formation strength. …”
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  13. 213

    Aging properties and mechanism of GINA gaskets on immersed tunnel element joint subjected to seawater environment: A multi-scale experimental study by Hongtao Mao, Zhinan Hu, Lian Jiang, Yadong Sun, Yonggang Du, Yonghuan Luo

    Published 2025-07-01
    “…Considering the aging effect, the contact stress of GINA gasket after 100 years is predicted to be 2.32 MPa, which is larger than the designed waterproofing index (0.61 MPa). …”
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    Mindfulness, cognitive load, and performance: examining the interplay of stress and self-regulation in physical education by Songhu Kong, Lingling Qiu, Yangyang Su, Yibo Zhang, Kaiye Sun

    Published 2025-05-01
    “…Abstract Purpose This study investigates the role of mindfulness practices and self-regulation in reducing cognitive load stress and enhancing physical performance among university students in physical education. …”
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    Study on accumulative plastic deformation of cement-fly ash improved subgrade coarse-grained soil under heavy-haul traffic loads and relative prediction based on PSO-ANN by Zhou Wenquan, Zhu Yan, Duan Jian, Liang Qiao, Liu Zhaofeng, Yi Runzhou

    Published 2025-07-01
    “…Abstract In order to study the accumulative plastic deformation characteristics of coarse-grained subgrade soil improved by cement-fly ash under heavy-haul traffic loads, and propose the corresponding prediction model, a series of dynamic performance tests were conducted under varying axial dynamic stress amplitudes, confining pressures and additive contents to acquire accumulative plastic strain-vibration times relationship curve. …”
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    Towards enhanced durability: A review of fuel cell electric vehicle development by Chuanxu Luo, Hui Leng Choo, Hafisoh Ahmad, Praveena Nair Sivasankaran

    Published 2025-10-01
    “…Technical control solutions include power, energy, temperature, ventilation, and control management. Stress acceleration and cold start tests are examples of test optimization, whereas durability prediction requires parameter selection, real-time monitoring, dynamic modeling, and lifespan prediction. …”
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