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Showing 101 - 120 results of 3,149 for search '(((reductive OR prediction) OR education) OR (reduction OR predicting)) stress', query time: 0.21s Refine Results
  1. 101

    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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  2. 102

    Generalizable deep learning models for predicting laboratory earthquakes by Chonglang Wang, Kaiwen Xia, Wei Yao, Chris Marone

    Published 2025-03-01
    “…With fine-tuning, CNN models trained on one lab fault configuration predict time to failure and shear stress for another configuration at varying fault slip rates. …”
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  3. 103

    Identification and characterization of forced degradation products of lumateperone tosylate by LC-HRMS, GC-MS, NMR, and in silico toxicity prediction by Nehal Bhatt, Devendra Sonaje, Vijiaya Madhyanapu Golla, Rahul Khemchandani, Roshitha K. R, Arun Kumar Gupta, Gananadhamu Samanthula

    Published 2025-12-01
    “…This study presents a detailed forced degradation profiling of lumateperone under stress conditions to develop a stability-indicating method capable of separating degradation products (DP-1 to DP-11), followed by their identification and characterization using hyphenated analytical techniques. …”
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  4. 104

    A dataset of psychological emotional expressions relating to depression, anxiety and stress for Malay language model trainingOSF by Ruhaila Maskat, Nor Hapiza Mohd Ariffin, Nurul Akhmal Dzulkefli

    Published 2025-10-01
    “…The dataset can benefit research works in the areas of emotional speech recognition, emotional intelligence understanding and emotional prediction. The dataset consists of raw and pre-processed posts which include normalized and tokenized words suitable for training Malay Large Language Models and predictive analytics.…”
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  5. 105

    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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  6. 106

    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
  7. 107
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  9. 109

    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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  10. 110
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  12. 112

    Predicting potato plant vigor from the seed tuber properties by Elisa Atza, Rob Klooster, Falko Hofstra, Frank van der Werff, Hans van Doorn, Neil Budko

    Published 2025-08-01
    “…At the same time, for the variety that appeared to be less sensitive to environmental stresses, we obtained cross-field and cross-year vigor predictions correlating up to $$80\%$$ with the measurements. …”
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  13. 113
  14. 114

    Genetic Programming-Based Prediction Model for Microseismic Data by Man Wang, Hongwei Zhou, Dongming Zhang, Yingwei Wang, Weihang Du, Beichen Yu

    Published 2022-01-01
    “…The results showed that the actual seismic and energy data of the working faces exhibited good agreement with those predicted by the prediction formulas. The high energy and seismic distribution were caused by the mining stress at the edge of working faces due to the excavation and unloading effect of the surface, and the energy and seismic evolution predicted by GP could also show this phenomenon well.…”
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  15. 115

    Genetically predicted cortisol levels and risk of venous thromboembolism. by Elias Allara, Wei-Hsuan Lee, Stephen Burgess, INVENT consortium, Susanna C Larsson

    Published 2022-01-01
    “…<h4>Introduction</h4>In observational studies, venous thromboembolism (VTE) has been associated with Cushing's syndrome and with persistent mental stress, two conditions associated with higher cortisol levels. …”
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  18. 118

    Biomechanical comparison of various bone reduction forceps in interfragmentary compression and area of compression in an experimental model of canine lateral humeral condylar fract... by Madison Baskette, Cassio Ricardo Auada Ferrigno

    Published 2025-01-01
    “…<h4>Materials and methods</h4>Seven cadaveric canine humeri with simulated lateral humeral condylar fractures were used in this study. A stress-sensitive film was placed at the fracture gap and five different bone reduction forceps were used to reduce the fractures to their maximum pressure before failure occurred. …”
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  19. 119

    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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  20. 120

    Convolution of the physical point cloud for predicting the self-assembly of colloidal particles by Seunghoon Kang, Young Jin Lee, Kyung Hyun Ahn

    Published 2025-07-01
    “…Furthermore, although we train the semantic stress relationships that constitute each phase of the network using same-sized particles with a pre-specified inter-particle interaction, our algorithm demonstrates generalized predictive performance even for suspensions with randomly distributed particle sizes. …”
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