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    Prediction of mechanical behavior of friction stir welded joints of AA3003 aluminum alloy by I. Chekalil, A. Miloudi, M.P. Planche, A. Ghazi

    Published 2020-10-01
    “…The purpose of the present work is to formulate a set of recommendations concerning the choice of the different factors that are likely to influence the quality of the FSW joint and to find a mathematical model that allows predicting the mechanical behavior of the junction using response surface methodology (RSM). …”
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  3. 123

    Predicting Activity in Brain Areas Associated with Emotion Processing Using Multimodal Behavioral Signals by Lahoucine Kdouri, Youssef Hmamouche, Amal El Fallah Seghrouchni, Thierry Chaminade

    Published 2025-03-01
    “…This paper introduces a novel approach examining how behavioral and physiological signals can be used to predict activity in emotion-related regions of the brain. …”
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  4. 124
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    Interplay between polygenic risk and family processes in predicting trajectories of adolescent externalizing behaviors by Jinni Su, Belal Jamil, Kit K. Elam, Angel D. Trevino, Kathryn Lemery-Chalfant, Eleanor K. Seaton, Rick A. Cruz, Kevin J. Grimm

    Published 2025-03-01
    “…Among non-Hispanic White youth, polygenic scores also predicted greater family conflict, which in turn predicted higher externalizing behavior trajectories.DiscussionOur findings indicated that both adult-based and child-based polygenic scores for externalizing behaviors are useful in predicting trajectories of externalizing behaviors, highlighting developmental continuity in genetic influences. …”
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    Predictive factors of adolescents’ happiness: a random forest analysis of the 2023 Korea Youth Risk Behavior Survey by Eun Joo Kim, Seong Kwang Kim, Seung Hye Jung, Yo Seop Ryu

    Published 2025-04-01
    “…Purpose This study aimed to identify predictive factors affecting adolescents’ subjective happiness using data from the 2023 Korea Youth Risk Behavior Survey. …”
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  8. 128

    The Dark Side of Leisure Time: Analysis of the Predictive Effects Between Boredom, Internet Usage Habits, and Gambling Behaviors by Esra Emir, Elif Akça, Adela Badau, Dana Badau

    Published 2025-06-01
    “…<b>Results</b>: The findings indicate that leisure boredom significantly predicts internet usage and gambling motivations. Notably, individuals who spend their leisure time on passive activities were found to have higher rates of internet usage, habits, digital addiction, and gambling behavior. …”
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    Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

    Published 2025-06-01
    “…Existing approaches to modeling and predicting URS behavior are known for their weak or absent integration of data from real sensors in real time. …”
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  12. 132

    Brittle Creep Failure, Critical Behavior, and Time-to-Failure Prediction of Concrete under Uniaxial Compression by Yingchong Wang, Na Zhou, Fuqing Chang, Shengwang Hao

    Published 2015-01-01
    “…Understanding the time-dependent brittle deformation behavior of concrete as a main building material is fundamental for the lifetime prediction and engineering design. …”
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  13. 133

    Predicting Fatigue Crack Growth Behavior of Coalesced Cracks Using the Global-Local Superimposed Technique by Mohd Shamil Shaari, Sylvia Urai, Akiyuki Takahashi, Mohd Akramin Mohd Romlay

    Published 2022-09-01
    “…Therefore, it can be stated that the S-version FEM approach can predict the growth of fatigue cracks. …”
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    Heart rate during conflicts predicts post-conflict stress-related behavior in greylag geese. by Claudia A F Wascher, Orlaith N Fraser, Kurt Kotrschal

    Published 2010-12-01
    “…Our results show that the HR during encounters and characteristics of the interaction predicted the frequency and duration of behaviors shown after a conflict.…”
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  17. 137

    Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning by Xinpeng Zhao, Haiyou Huang, Yanjing Su, Lijie Qiao, Yu Yan

    Published 2025-07-01
    “…Taking refractory high-entropy alloys (RHEAs) as a case study, we establish prediction models for their corrosion behavior based on potentiodynamic polarization curve data and interpretable GFL. …”
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    Predicting Risk Factors for Dyslipidemia Based on Health Behaviors by Age in Adults Using Machine Learning by Jin-Hui Ku, Jong-Suk Kim, Kwang-Hwan Kim

    Published 2025-05-01
    “…In this study, we propose a model for predicting age-specific dyslipidemia risk factors according to adult health behavior characteristics and diet. …”
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