Showing 241 - 260 results of 3,825 for search '((((reductive OR predictive) OR reduction) OR education) OR (prediction OR predicting)) stress', query time: 0.24s Refine Results
  1. 241

    Extracellular Vesicles: A Novel Target for Exercise-Mediated Reductions in Type 2 Diabetes and Cardiovascular Disease Risk by Natalie Z. M. Eichner, Uta Erdbrügger, Steven K. Malin

    Published 2018-01-01
    “…However, only about 40–50% of this CVD risk reduction is accounted for by adiposity, hyperglycemia, hypertension, and dyslipidemia. …”
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    Article
  2. 242
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    Prediction of mechanical properties of steel fibre-reinforced concrete under elevated temperature using artificial neural network techniques (ann) by G. Premkumar, S. Senthil Selvan

    Published 2025-08-01
    “…While existing literature mainly emphasizes the prediction of compressive strength, limited efforts have been made to predict other key mechanical properties under thermal stress. …”
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    Article
  4. 244

    Global, regional, and national trends in the epidemiology of aortic aneurysms among women of childbearing age, 1990–2021, with predictions through 2036 by Wei Wang, Yong Shi, Xinyao Li, Tianxiang Gu, Enyi Shi

    Published 2025-07-01
    “…An age-period-cohort model assessed trends, period, and cohort effects, while the Bayesian age-period-cohort model predicted the disease burden through 2036. Results In 2021, AA was associated with 2,552 (95% UI: 2,273 to 2,827) mortality and 86,466 (95% UI: 72,510 to 115,049) DALYs counts worldwide among women of childbearing age. …”
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  5. 245
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    Effect of BFRP textile geometric characteristics on the flexural performance of textile reinforced concrete thin plate: An experimental and theoretical study by Xiaofei Zhang, Xin Wang, Lining Ding, Yongwang Zhang, Xunmei Liang, Zhishen Wu

    Published 2025-12-01
    “…These findings provide a basis for optimizing textile geometry and predicting the bending performance of BTRC elements.…”
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    Distributed Frequency Regulation Method for Power Grids Considering the Delayed Response of Virtual Power Plants by Jun Qi, Anning Ying, Bohang Zhang, Dan Zhou, Guoqing Weng

    Published 2025-03-01
    “…To tackle the challenges of distributed flexible resource coordination and inherent control delays in virtual power plant (VPP)-participated frequency regulation (FR) for interconnected power systems, this paper proposes a novel distributed model predictive control (DMPC)-based FR strategy with time-delay compensation. …”
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  11. 251
  12. 252

    Machine-learning-driven prediction of flow curves and development of processing maps for hot-deformed Ni–Cu–Co–Ti–Ta alloy by Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, M.R. Rahul, Sumanta Samal, Eunhyo Song, Younggeon Lee, Yongho Jeon, Krishanu Biswas, Gandham Phanikumar, Byungmin Ahn

    Published 2025-05-01
    “…To reduce experimental efforts and enhance prediction accuracy, five machine learning (ML) models random Forest (RF), XGBoost (XGB), decision tree (DT), K-Nearest neighbor (KNN), and gradient boosting (GB) were applied to predict the flow stress–strain response and construct processing maps. …”
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  13. 253

    The analysis of the progressive local failure process of the Longquan Reservoir dam based on the global-local dynamic strength reduction method by Xin Qu, Fangfang Diao, Cheng Li, Xingqian Xu, Zihan Wang, Shuai Hao

    Published 2025-08-01
    “…Combining this model with the global-local dynamic strength reduction method, the progressive local failure process of the dam under heavy rain conditions was simulated. …”
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    Article
  14. 254

    Predictive mathematical modeling of biomechanical behavior in all-on-4 implants design: effects of distal implant and occlusal load angulation using RSM based on FEA by Fahri Murat, Sema Nur Sevinç Gül, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy

    Published 2025-08-01
    “…This study presents a predictive biomechanical modeling approach for optimizing distal implant placement in the All-on-4 treatment concept, with a focus on implant angulation and occlusal load direction. …”
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  15. 255

    Cardiovascular risk and stress in employees of a higher education institution by Eugênio Barbosa de Melo Júnior, Jayne Ramos Araujo Moura, Sâmia Suély Leal Borges, Açucena Leal de Araújo, Jackson Júnior Vieira de Castro, Ana Roberta Vilarouca da Silva

    Published 2016-12-01
    “…Objective: to analyze the association between high levels of stress and the frequency of cardiovascular risk factors in employees of a higher education institution. …”
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  16. 256

    Cardiovascular risk and stress in employees of a higher education institution by Eugênio Barbosa de Melo Júnior, Jayne Ramos Araujo Moura, Sâmia Suély Leal Borges, Açucena Leal de Araújo, Jackson Júnior Vieira de Castro, Ana Roberta Vilarouca da Silva

    Published 2016-12-01
    “…Objective: to analyze the association between high levels of stress and the frequency of cardiovascular risk factors in employees of a higher education institution. …”
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    Article
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    Examining the after-school study burden of Chinese secondary school students following burden reduction policies: a sociological analysis by Yunfang Ran, Xi Wu, Yitao Wang, Zhiying Zhou, Yuan Yin

    Published 2025-08-01
    “…Findings This study found that burden reduction policies have brought some relief to student participants due to tailored assignments, learning support, and diversified after-school programs, although the pressure remained high. …”
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  20. 260

    Predicting Clinical Response to Monoclonal TNF Inhibitors in Rheumatoid Arthritis: A Transcriptomic Approach Based on Transmembrane TNF Reverse Signaling and Nrf2 Activation by Katy Diallo, Yannick Degboé, Michel Baron, Anaïs Bellin-Robert, Jean-Frédéric Boyer, Adeline Ruyssen-Witrand, Arnaud Constantin, Benjamin Rauwel, Alain Cantagrel, Jean-Luc Davignon

    Published 2025-05-01
    “…We previously showed that certolizumab, a Fab’ TNFi, activates RS in human primary monocytes, at least in part through the transcription factor Nrf2 that is known to regulate the expression of genes involved in anti-inflammatory response and oxidative stress. (2) <b>Methods</b>: Here, we have developed an assay for the prediction of clinical response of RA patients to TNF inhibitors. …”
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