Showing 3,481 - 3,500 results of 6,070 for search '((((reductive OR predictive) OR reduction) OR education) OR (prediction OR predicting)) stress', query time: 0.25s Refine Results
  1. 3481

    Analysis of the Impact of Building Pile Foundations and Support Systems on the Deformation of Special-Shaped Deep Excavations by Wenfeng Liu, Zhen Yang, Yaohui Zhao, Guangbiao Shao, Jianyong Han, Wanpeng Li, Jie Mao, Hongxing Zhao, Junwei Xue, Zhenguo Li, Tianliang Li

    Published 2025-01-01
    “…When the pile foundation length was less than 15 m, a reduction in pile length significantly increased the horizontal displacement of the pit support piles, and the reduction of pile length from 22 to 10 m resulted in a 55% increase in maximum displacement. …”
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  2. 3482

    Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signals by Bangbei Tang, Bangbei Tang, Yan Li, Yingzhang Wu, Yilun Li, Qizong Yue

    Published 2025-06-01
    “…Furthermore, the study assessed the effects of music, fragrance, and their combined application on alleviating these abnormal emotional states.ResultsResults indicated that music, fragrance, and their combination were related to a reduction in stress and anger across different severity levels, with subjective assessments correlating well with the objective EEG data. …”
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  3. 3483
  4. 3484

    Understanding risk factors and prognosis in diabetic foot ulcers by Wang Jixue, Yang Xirui, Zhou Tao, Ma Haitao, Yuan Xingxing, Yan Shuxun

    Published 2025-08-01
    “…The role of serological markers, including inflammatory and glycemic indicators, in predicting DFU risk and progression is discussed. Additionally, clinical markers and advanced assessment tools, such as ulcer grading systems and imaging technologies, used to evaluate DFU severity and healing are reviewed. …”
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  5. 3485
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  8. 3488

    Health-related quality of life, psychological status, and cardiovascular risk factors in intellectual workers by A. V. Kontsevaya, A. M. Kalinina, S. V. Belonosova, Yu. M. Pozdnyakov, T. S. Romanenko, M. G. Omelyanenko, R. A. Eganyan

    Published 2009-08-01
    “…This preventive examination of two organized collectives of education and research workers assessed psycho-emotional status and health-related QoL. …”
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  9. 3489

    Scaling a Brief Digital Well-Being Intervention (the Big Joy Project) and Sociodemographic Moderators: Single-Group Pre-Post Study by Darwin A Guevarra, Yoobin Park, Xuhai Xu, Jin Liou, Jolene Smith, Peggy Callahan, Emiliana Simon-Thomas, Elissa S Epel

    Published 2025-06-01
    “…Furthermore, younger people had greater increases in emotional well-being and greater decreases in perceived stress compared to older people. ConclusionsA brief, low-intensity intervention showed meaningful improvements in well-being and stress, comparable to those seen in longer, more intensive digital well-being interventions. …”
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  10. 3490

    Skin conductance algesimetry for monitoring postoperative procedural pain in infants—a pilot study by Matthias Nissen, Anna Romanova, Ralf-Bodo Tröbs

    Published 2025-08-01
    “…In regression analysis, only CHIPPS contributed significantly to predicting HLS events. Conclusion:. CHIPPS showed superior ability over SCF and HR in detecting HLS events in infants. …”
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  11. 3491

    Effect of Steel Fiber on First-Cracking Behavior of Ultra-High-Performance Concrete: New Insights from Digital Image Correlation Analysis by Xing Lu, Lei Tu, Chengjun Tan, Hua Zhao

    Published 2025-05-01
    “…The proposed model can accurately predict the first-cracking strength of UHPC, fitting well with the existing data.…”
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  12. 3492

    Balancing ethics and statistics: machine learning facilitates highly accurate classification of mice according to their trait anxiety with reduced sample sizes by Johannes Miedema, Beat Lutz, Susanne Gerber, Irina Kovlyagina, Hristo Todorov

    Published 2025-08-01
    “…We observed high accuracy and generalizability of our predictive models to independent animal batches. In contrast to data-driven clustering, the performance of ML classifiers remained unaffected by sample size and modifications to the conditioning protocol. …”
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  13. 3493

    Sepsis-Associated Encephalopathy (Review) by N. B. Beloborodova, I. V. Ostrova

    Published 2018-01-01
    “…The lack of clear data and consensus about the etiology and mechanisms of SAE at present does not permit predicting its development and prescribing a specific therapy. …”
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  14. 3494

    Parametric Optimization of Train Brake Pad Using Reverse Engineering with Digital Photogrammetry 3D Modeling Method by P Paryanto, Muhammad Faizin, R Rusnaldy

    Published 2025-05-01
    “…Additionally, RE and parametric modeling could assist in creating durable, cost-effective alternatives, and predicting appropriate replacements.…”
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  15. 3495

    Geomechanical justification of rock mass stability during underground limestone mining in quarry walls by A.O. Ostapchuk, O.O. Frolov

    Published 2025-07-01
    “…Analysis of methods for assessing the stress-strain state of the rock mass at the development of mineral deposits and methods for predicting the stability of the sides of the quarry showed that the most appropriate method of numerical modeling is the method of individual (discrete) elements, which, among other things, is implemented in PLAXIS 3D using the Coulomb-Mohr strength criterion. …”
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  16. 3496

    Modeling Rock Fracture Propagation and Water Inrush Mechanisms in Underground Coal Mine by Shichuan Zhang, Baotang Shen, Yangyang Li, Shengfan Zhou

    Published 2019-01-01
    “…Water inrush can be attributed to the coalescence of rock fractures and the formation of water channel in rock mass due to the interaction of fractures, hydraulic flow, and stress field. Hence, predicting the fracturing process is the key for investigating the water inrush mechanisms for safe mining. …”
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  17. 3497

    Shear Mechanism of Precast Segmental Concrete Beam Prestressed with Unbonded Tendons by Wu-Tong Yan, Lei Yuan, Yong-Hua Su, Zi-Wei Song

    Published 2025-07-01
    “…With the observed failure modes, the truss–arch model is employed to clarify the shear mechanism of PSCBs, and simplified equations are further developed for predicting the shear strength. Using the collected test results of 30 specimens, the validity of the proposed equations is verified with a mean ratio of calculated-to-test values of 0.96 and a standard deviation of 0.11. …”
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  18. 3498

    Аnalysis of the Actual Condition of Pre-Insulated Pipelines of District Heating Systems After Operation by V. A. Sednin, A. V. Sednin, A. I. Bondarovich, I. A. Nekalo, A. D. Mukhin

    Published 2024-12-01
    “…The durability of polymer materials used in pre-insulated pipes can be assessed through empirical or predictive methods. For six batches of PI pipes that were in operation at different times in the Minsk DHS, tests were carried out according to standardized parameters in order to determine their actual values. …”
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  19. 3499
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    Multiscale Modeling of Mechanical Response of Carbon Nanotube Yarn with Orthotropic Properties Across Hierarchies by Aref Mehditabar, Hossein Esfandian, Seyed Sadegh Motallebi Hasankola

    Published 2025-05-01
    “…The presented theoretical approach provides a valuable tool for enhancing the understanding and predictive capabilities related to the mechanical performances of CNTY structures.…”
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