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  1. 581
  2. 582

    Determinants of Pro-Environmental Behavior at Work in Organizations in Southern Colombia by Willian Sierra Barón, Alba Lucia Meneses Baéz

    Published 2025-07-01
    “… Amid growing environmental challenges, understanding the drivers of Pro-Environmental Workplace Behavior (PEWB) in Latin America is crucial, specifically in Huila, Colombia. …”
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    Article
  3. 583

    Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning. by Huu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, Masanobu Kano, Keisuke Toyama, Kazuo Kitamura, Mitsuo Kawato

    Published 2025-03-01
    “…This method enabled the calculation of reinforcement learning variables, such as reward, predicted reward, and reward-prediction errors in each learning trial. …”
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  4. 584

    Modeling the compressive strength behavior of concrete reinforced with basalt fiber by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom, Paul Awoyera, Siva Avudaiappan

    Published 2025-04-01
    “…Abstract This research investigates the compressive strength behavior of basalt fiber-reinforced concrete (BFRC) using machine learning models to optimize predictions and enhance its practical applications. …”
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  5. 585

    TIME IN SEDENTARY BEHAVIOR AND PHYSICAL ACTIVITY AS DISCRIMINATORS OF DIABESITY IN QUILOMBOLAS by Poliana Pereira Santana, Clarice Alves dos Santos, Ricardo Franklin de Freitas Mussi, Saulo Vasconcelos Rocha

    Published 2023-12-01
    “…Objectives: To estimate cut-off points for time spent in sedentary behavior and physical activity as a discriminator of the presence of diabesity and to evaluate the predictive ability of WC and PA to identify this condition in quilombola adults. …”
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    Article
  6. 586

    Consumers’ expected information search behavior for a pharmaceutical treatment by Yifei Liu, Jack E. Fincham, Morgan L. Sperry

    Published 2025-02-01
    “…This study was to identify factors impacting consumers’ expected information search behavior for a pharmaceutical treatment. By examining the predictive utility of these factors, the CMIS could be improved in the context of health information search.MethodsA telephone interview was administered to a random-digit-dialed sample of 2,186 adult residents in a southern U.S. state. …”
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  7. 587

    The Factors Influencing Safety Compliance Behavior Among New-Generation Construction Workers in China: A Safety Compliance Behavior–Artificial Neural Network Model Approach by Meining Yuan, Tianpei Tang, Shengnan Zhao, Xiaofan Xue, Bang Luo

    Published 2024-11-01
    “…Amid an aging workforce and labor shortages, this study investigates the key factors influencing construction workers’ safety compliance behavior (SCB). SCB is categorized into three distinct types: non-compliance behavior, general behavior, and compliance behavior. …”
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  8. 588

    Assessing childhood maltreatment exposure using the child behavior checklist by Takuya Makino, Shota Nishitani, Shota Nishitani, Shota Nishitani, Shinichiro Takiguchi, Shinichiro Takiguchi, Shinichiro Takiguchi, Akiko Yao, Takashi X. Fujisawa, Takashi X. Fujisawa, Takashi X. Fujisawa, Akemi Tomoda, Akemi Tomoda, Akemi Tomoda, Akemi Tomoda

    Published 2025-05-01
    “…Similarly, exposure to CM between the ages of five and seven predicted “somatic complaints”. In the case of type, physical abuse was the predictor for “somatic complaints” and “delinquent behavior”, and emotional abuse was the predictor for “anxious/depressed” and “thought problems”.ConclusionMaltreated children present a wider range of behavioral/emotional problems, which must be considered when supporting them. …”
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    Reducing maladaptive behavior in neuropsychiatric disorders using network modification by Nicholas M. Timme

    Published 2025-01-01
    “…In this proof-of-concept computational psychiatry study, we tested this approach in a simple model organism that is controlled by a neural network and that exhibits aversion-resistant alcohol drinking – a key maladaptive behavior associated with alcohol use disorder. We demonstrated that it was possible to predict personalized network modifications that substantially reduced maladaptive behavior without inducing side effects. …”
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  12. 592

    Longitudinal associations between youth prosocial behavior and dimensions of psychopathology by Gabrielle E. Reimann, Benjamin B. Lahey, Hee Jung Jeong, E. Leighton Durham, Camille Archer, Carlos Cardenas‐Iniguez, Marc G. Berman, Tyler M. Moore, Brooks Applegate, Antonia N. Kaczkurkin

    Published 2025-06-01
    “…Abstract Background Studies suggest that prosocial behavior, having high empathy and engaging in behaviors intended to benefit others, may predict mental health or vice versa; however, these findings have been mixed. …”
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  14. 594

    Delamination effect on the mechanical behavior of 3D printed polymers by F. Majid, T. Hachimi, H. Rhanim, R. Rhanim

    Published 2023-01-01
    “…This study aims to assess the delamination effect and predict the evolution of damage in 3D printed specimens to investigate the mechanical behavior occurring due to the delamination of the layers of 3D printed thermoplastic polymers. …”
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  15. 595

    Delamination effect on the mechanical behavior of 3D printed polymers by Fatima Majid, T. Hachimi, H. Rhanim, R. Rhanim

    Published 2022-12-01
    “…  This study aims to assess the delamination effect and predict the evolution of damage in 3D printed specimens to investigate the mechanical behavior occurring due to the delamination of the layers of 3D printed thermoplastic polymers. …”
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  16. 596

    Neural and behavioral reinstatement jointly reflect retrieval of narrative events by Matthias Nau, Austin Greene, Hannah Tarder-Stoll, Juan Antonio Lossio-Ventura, Francisco Pereira, Janice Chen, Christopher Baldassano, Chris I. Baker

    Published 2025-08-01
    “…In line with key predictions, gaze behavior adhered to the same principles as neural activity; it was event-specific, robust across individuals, and generalized across viewing and recall. …”
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  17. 597

    Deep Knowledge Tracing Model Integrating Learning Process and Behavior by JIARui, DONGYongquan, CHENCheng, LIUYuan

    Published 2024-10-01
    “…The purpose of knowledge tracking is to continuously assess the state of students ′ knowledge and to predict their future learning performance. The student learning process is essentially an interaction between students, knowledge points, and exercises, and students influence the learning process through their learning behaviors. …”
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  18. 598

    Analyzing key users’ behavior trends in volunteer-based networks by Nofar Piterman, Tamar Makov, Michael Fire

    Published 2025-05-01
    “…Moreover, we succeeded in forecasting future active donor key users and predicting the key users that would change their behavior toward donors, with an accuracy of up to 89.6%. …”
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    THEORETICAL AND METHODOLOGICAL BASIS OF CONSUMER BEHAVIOR UNDER MODERN CONDITIONS by Valentyna Litynska

    Published 2024-12-01
    “…The study of the scientific approaches of foreign scientists to the study of consumer behavior made it possible to develop models of consumer behavior that most accurately predict consumer behavior in modern conditions, since today the purchasing power of the population has significantly decreased. …”
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