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Showing 1,021 - 1,040 results of 1,952 for search '(((reductive OR predictive) OR reduction) OR (prediction OR predicting)) stress', query time: 0.18s Refine Results
  1. 1021

    Comparative study between the effect of dexmedetomidine versus dexamethasone as adjuvant to levobupivacaine in interscalene block using ultrasound in shoulder arthroscopy by Mohammed A.-S.A.A. Hatab, Hussein A.M. Mohammed, Ezzat M.A. Alsaudi, Mohamed M.A. Elenain, Medhat H.A. Khalil

    Published 2025-01-01
    “…This study aimed to assess the effects of dexamethasone and dexmedetomidine at low and high doses on hemodynamics, sensory and motor block, analgesic intake, stress response, postoperative pain, and postoperative complications. …”
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  2. 1022

    Experimental study on mechanical behavior and response mechanism of triaxial loading-unloading drilling in impact coal under the effect of water content by Guang’an ZHU, Zihao XU, Huan LIU

    Published 2025-07-01
    “…As the stress levels rise, the stress around the drilling hole increases, the energy inside the coal body accumulates, and the deformation intensifies, the combined action of the two increases the amount of cuttings in drill pipe cutting; ④ In the range of water content less than 25%, as the water content increases, the increase of the liquid bridge force between the pulverized coal particles promotes the agglomeration and adhesion in the drilling hole, which leads to the reduction of drilling cuttings. …”
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  3. 1023

    A Review of Failures and Malfunctions in Hydraulic Sandblasting Perforation Guns by Zhengxuan Luan, Liguo Zhong, Wenqi Feng, Jixiang Li, Zijun Gao, Jiaxin Li

    Published 2025-04-01
    “…Furthermore, the paper anticipates the future trends of intelligent fault diagnosis and predictive maintenance, including multi-sensor data fusion, AI-driven predictive models, and digital twin technologies. …”
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    Article
  4. 1024
  5. 1025

    Johnson–Cook Constitutive Model Parameters Estimation of 22MnB5 Hot Stamping Steel for Automotive Application Produced via the TSCR Process by Yuxin Song, Yaowen Xu, Gengwei Yang

    Published 2025-07-01
    “…Subsequently, the material flow behavior was modeled and predicted using the Johnson–Cook flow stress constitutive model. …”
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  6. 1026

    Reliability of Substrate Solder Joints from Power Cycling Tests by Thomas Hunger, 德国

    Published 2010-01-01
    “…Those tests with their high number of cycles are utilized as an effective thermal cycling test for the substrate solder. Key factor is the prediction of the solder temperature during power cycling. …”
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    Article
  7. 1027

    Novel Endoscopic‐Assisted Long Plate Approach for Mandibular Condylar Fracture Reconstruction—A Preliminary Study by Chao‐Hsin Huang, Chia‐Chen Lee, Yi‐Chia Wu, Hsiao‐Chen Lee, Yur‐Ren Kuo, Su‐Shin Lee

    Published 2025-08-01
    “…Specifically, the average operation time for the group treated with closed reduction and intermaxillary fixation was 250 min, for Group B cases treated with short plate open reduction and intermaxillary fixation was 429 min, and for Group C treated with long plate open reduction and intermaxillary fixation was 413 min. …”
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  8. 1028

    Study on Cardiac Aging Phenotypes of SHJHhr Mice by LIU Rongle, CHENG Hao, SHANG Fusheng, CHANG Shufu, XU Ping

    Published 2025-02-01
    “…PCR analysis revealed a significant downregulation of mRNA levels of oxidative stress factors Sod2, Gpx1, and Cat genes (P<0.05). …”
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  9. 1029

    Flexible Behavior of Transverse Joints in Full-Scale Precast Concrete Slabs with Open-Type Joint Method by Jinuk Jang, Dain Mun, Byungkyu Jo, Heeyoung Lee

    Published 2025-07-01
    “…The support vector regression model predicted key structural performance indicators such as concrete compressive strength, maximum load, displacement, and principal stress. …”
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    Article
  10. 1030

    Continuous Monitoring of Recruits During Military Basic Training to Mitigate Attrition by Robbe Decorte, Jelle Vanhaeverbeke, Sarah VanDen Berghe, Maarten Slembrouck, Steven Verstockt

    Published 2025-03-01
    “…Key indicators of attrition included low motivation, low resilience, and a stress mindset. Furthermore, we developed a predictive model using physiological data, such as sleep scores and step counts from Garmin devices, achieving a macro mean absolute error (MAE) of 0.74. …”
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  11. 1031

    Nonlinear Creep Constitutive Model of Rock Considering Hardening Effect by Dipeng Zhu, Zhiyong Hu, Shuguang Zhang, Wei Qiu, Yijie Wang, Donglan Chen, Fan Mingzhuo, Shutian Zhao, Ye Sun, Wenbo Liu

    Published 2025-01-01
    “…The creep of rock is a complex mechanical phenomenon driven by internal stress adjustment and the interplay between hardening and damage effects. …”
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  12. 1032

    Development of rice mutants with enhanced resilience to drought and brown spot (Bipolaris oryzae) and their physiological and multivariate analysis by Shahwar Fatima, Muhammad Rashid, Amjad Hameed, Sajid Fiaz, Nazih Y. Rebouh, Qamar uz Zaman

    Published 2025-08-01
    “…Abstract Background Rice serves as staple food for four billion people but encounters yield reductions because of natural as well as biological stress factors. …”
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  13. 1033

    Data-driven assessment of climate change and vegetative cover dynamics in traditional oases by Elisa Baioni, Giulia Fiantanese, Giovanni Michele Porta

    Published 2025-06-01
    “…The monthly scale analysis suggests a lagged effect of climatic variables, especially cumulative precipitation, on vegetation water stress. The long term VEC prediction of climatic variables aligns with GDDP-CMIP6 climate projections, forecasting an increase in average temperature and potential evapo-transpiration. …”
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  14. 1034

    Influence and Mechanism of Crack Morphology on Post-Fracture Stiffening Effect of SG-laminated Glass by PENG Shennan, YANG Jian, WANG Xing’er, LU Mincheng, ZHU Yuhan

    Published 2025-08-01
    “…Accurately evaluating and predicting the post-fracture performance of laminated glass is essential for balancing cost and performance. …”
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  15. 1035

    Influence of Bake Hardening on Plastic Strain Dependency of Elastic Modulus by Kusaka Shota, Iwama Takashi, Sato Kentaro, Ohnishi Yoichiro, Shiozaki Tsuyoshi, Yoshida Fusahito

    Published 2025-01-01
    “…The yield-point phenomenon appeared in tension of the BH specimens, but it was not observed in compression after BH although the flow stress increased by BH. The elastic modulus significantly affects the prediction accuracy of springback. …”
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  16. 1036

    Test and DEM study on the influence of particle morphology on the shear characteristics of the reinforcement–soil Interface by Jingting LI, Feiyu LIU, Chenbo GAO, Yifei JIN

    Published 2025-07-01
    “…The model’s contact parameters were validated by comparing the shear stress and volumetric behavior predictions with experimental results. …”
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  17. 1037
  18. 1038

    Fatigue Damage Prognosis Method for Main Girders of Cable-Stayed Bridges Based on Wavelet Neural Network by Shan Huang, Rui Chen, Jun Ling, Nan Jin

    Published 2025-06-01
    “…At present, the research on bridge structure health monitoring mainly focuses on discovering existing structural damage and less on predicting when the damage will occur in the future. …”
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  19. 1039

    Construction of Response Models for Color Gradation Skewed Distribution Parameters Extracted from Digital Wheat Canopy Images in Response to Cold-Spell Effects by Jibo Zhang, Hongwei Zhou, Chuanxiang Yi, Pei Zhang, Haijun Huan, Feifei Xu, Qi Chen, Qiqing Shan, Ye Sheng, Qin Mei

    Published 2025-07-01
    “…The kurtosis model for green values achieved exceptional prediction accuracy, surpassing 90%. Findings demonstrate quantifiable cold-induced changes in canopy color gradient distribution, establishing a foundation for enhancing freeze damage monitoring systems through image-based metrics. …”
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  20. 1040

    Application of Metamodels to Identification of Metallic Materials Models by Maciej Pietrzyk, Jan Kusiak, Danuta Szeliga, Łukasz Rauch, Łukasz Sztangret, Grzegorz Górecki

    Published 2016-01-01
    “…Improvement of the efficiency of the inverse analysis (IA) for various material tests was the objective of the paper. Flow stress models and microstructure evolution models of various complexity of mathematical formulation were considered. …”
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