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  1. 541

    The mediation effect of social participation in the relationship between Internet use and health behaviors among middle-aged and older individuals by Xinmei Yang, Yang Chen, Tuo Qiu, Xingyue Zhu

    Published 2025-05-01
    “…This population-based study elucidated the dynamic linkage between Internet use (IU) and health behaviors (HBs), particularly emphasizing the intermediary function of social participation (SP) in middle-aged and older adults (MOA) in China. …”
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    Article
  2. 542

    Misconceptions and Behavioral Risks in Parental Antibiotic Use on Romanian Children: A Cross-Sectional Study on Knowledge, Attitudes, and Practices by Alin Iuhas, Radu Galiș, Marius Rus, Andreea Balmoș, Cristian Marinău, Larisa Niulaș, Zsolt Futaki, Dorina Matioc, Cristian Sava

    Published 2025-05-01
    “…Objective: To assess Romanian parents’ knowledge, attitudes, and practices regarding antibiotic use in children, and to identify key misconceptions and behavioral risks contributing to inappropriate antibiotic use. …”
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    Article
  3. 543

    The Impact of Smartphone Use on Children’s Mental Health: A Digital Approach Based on AI and Big Data by Damaris HOTIMA, Darius TURCIAN

    Published 2025-05-01
    “…By utilizing Big Data and Artificial Intelligence (AI), innovative solutions are proposed for the early detection of mental health disorders and monitoring online behavior. …”
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    Article
  4. 544

    Methods used to find clients and risky sexual behavior among female sex workers in China: a cross-sectional study by Zhujun Lian, Ke Xu, Jie Jin, Xingliang Zhang, Junfang Xu

    Published 2025-04-01
    “…As a result, it is crucial to analyze the correlation between methods used to find clients and risky sexual behavior and explore changes in risky sexual behavior among FSWs over time. …”
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    Article
  5. 545

    Socioecological influencers of health-promoting lifestyles in Chinese: a preliminary survey using convenient samples by Li Huang, Li Huang, Hansen Li, Haowei Liu, Haodong Tian, Haoyue Luo, Jinlong Wu, Yue Luo, Li Peng, Li Peng, Liya Guo, Liya Guo

    Published 2024-01-01
    “…Our outcome was health promoting lifestyle, which was measured by a revised version of Health Promoting Lifestyle Profile-II (HPLP-IIR). Data were analyzed using stepwise regression.ResultsA total of 1,402 participants were enrolled. …”
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  10. 550

    Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms by R. Reena Roy, Leninisha Shanmugam, A. Vinothini, Nirmala Venkatachalam, G. Sumathy, Bhavadharini Murugeshan, P. Mercy Rajaselvi Beaulah, Gizachew Assefa Kerga

    Published 2023-01-01
    “…Developing these three machine learning (ML) algorithms was to evaluate the ability to predict wear behavior using the same small dataset collected using varying test processes. …”
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    Article
  11. 551

    Assessment of Behavioral Patterns in the Sultan Mir Ahmad Neighborhood-Kashan, Using Space Syntax Analysis Technique by Azam Sadat Razavizadeh, Ali Ghaffari

    Published 2020-12-01
    “…In this study, the method of behavioral patterns map is used to investigate the effect of designed environment on individuals, success and impact of design in guiding behavior and providing appropriate opportunities for various behaviors. …”
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    Article
  12. 552

    Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

    Published 2025-03-01
    “…This study addresses the challenge of wildfire occurrence and behavior prediction in Alaska by developing a comprehensive framework that leverages satellite-based data, geospatial features, advanced optimization, and machine learning (ML). …”
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    Article
  13. 553

    Understanding Green Product Purchase Intentions Using the Theory of Planned Behavior: Case study of Algerian Consumers’ by Sidi Mohammed Benachenhou, Imene Dali Youcef, Salah Hamouti

    Published 2024-12-01
    “…We analyzed the statistical data using SPSS v22.0 and Statistica v08.Results: The results show that purchasing intention of green products is positively affected by attitude (ATT), subjective norms (SN), and perceived behavior control (PBC). …”
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    Article
  14. 554

    Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

    Published 2025-01-01
    “…Consequently, project members simulated real-life littering scenarios to gather the required data. This dataset was then used to train different models, including LRCN, CNN-RNN, and MoViNets. …”
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  17. 557

    The role of mental accounting and financial attitudes in shaping financial behavior among entrepreneurial students using fintech by Wirawan Endro Dwi Radianto, Heribertus Andre Purwanugraha, Heru Kristanto, Tommy Christian Efrata, Ika Raharja Salim

    Published 2025-01-01
    “… This study examines the influence of mental accounting, financial attitudes, financial knowledge, and financial self-efficacy on the financial behavior of diligent students in using fintech. This study differs from previous research because it uses a sample of students who already have a business and often use fintech. …”
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  18. 558

    GOOD ORGANIZATIONAL BEHAVIOR MOTIVATIONAL TOOL USED AS A KEY COMPONENT IN VITICULTURE AND WINE RESEARCH AND DEVELOPMENT by Ciprian GRIGORESCU, Mihai TUDOR, Constanta Laura ZUGRAVU, Gheorghe Adrian ZUGRAVU

    Published 2024-01-01
    “…Organizational behavior implementation was monitored via the use of raw data from human resource department. …”
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  19. 559

    Analysis of nonlinear behavior of viscoelastic damping in musical membranes using physics-informed self-organizing maps by Cristhiam Fidel Martínez Orellanos, Rolf Bader

    Published 2025-03-01
    “…We employed a FDTD model of a viscoelastically damped membrane to create a physics-informed dataset, which we subsequently analyzed using Self-Organizing Maps (SOMs). Our findings reveal that the damping coefficient is the primary criterion when clustering the data. …”
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  20. 560

    Modeling the Frequency of Cyclists’ Red-Light Running Behavior Using Bayesian PG Model and PLN Model by Yao Wu, Jian Lu, Hong Chen, Qian Wan

    Published 2016-01-01
    “…Red-light running behaviors of bicycles at signalized intersection lead to a large number of traffic conflicts and high collision potentials. …”
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