Holistic Evaluation of the Gut Microbiota through Data Envelopment Analysis: A Cross-Sectional Study by Taizo Matsuki, Sho Nakamura, Minami Nishiyama, Hiroto Narimatsu

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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

“…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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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

“…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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Changes in antibiotic use associated with the National Centralized Drug Procurement policy in China from 2019 to 2023 by Fanyu Lin, Haoye Li, Siyuan Yao, Nannan Zhao, Keying Zhu, Jinxi Ding, Wei Li

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Factors associated with antibiotic use patterns in Thailand after COVID-19 by Supachai Yanarueng, Nakarin Prasit, Surachai Phimha, Ampawan Nonthamat, Nathakon Nilnate, Nattaporn Nidthumsakul, Puwanart Sresutham

“…To examine the factors influencing antibiotic use behavior in Thailand post-COVID-19 and to provide recommendations for targeted interventions. …”
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Collective Behavior or Protest Action: A Study of the Social Unrest of November 2019 using grounded Theory by Anvar Mostafavi, Mahmood Shahabi, Somayeh Shalchi

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Assessing Volatility Behaviors of Cross-Currency Derivatives in India's Exchange Markets Using Machine Learning Algorithms by Aman Shreevastava, Bharat Kumar Meher, Virgil Popescu, Ramona Birau, Mritunjay Mahato

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An evaluation of the association between specific post‐overdose care services in emergency departments and subsequent treatment engagement by Laura C. Chambers, Benjamin D. Hallowell, Elizabeth A. Samuels, Mackenzie Daly, Janette Baird, Francesca L. Beaudoin

“…Electronic health record data were used to identify ED services received, and state administrative data were used to define subsequent engagement in OUD treatment within 30 days. …”
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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

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

“…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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Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption by Shahzad Sadiq, Jia Kaiwei, Ihsan Aman, Muhammad Mansab

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On the Use of an Improved Artificial Fish Swarm Algorithm-Backpropagation Neural Network for Predicting Dam Deformation Behavior by Bo Dai, Hao Gu, Yantao Zhu, Siyu Chen, E. Fernandez Rodriguez

“…At the same time, dam deformation behavior is vital to dam systems. Developing a precise prediction model of dam deformation from prototype data is still challenging but determinant in the structural safety assessment. …”
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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

“…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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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

“…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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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

“…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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Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks by Jonathan Schmitt, Abbas Razvi, Christoph Grapentin

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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

“… 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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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

“…Organizational behavior implementation was monitored via the use of raw data from human resource department. …”
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The Role of Media Use and Emotions in Risk Perception and Preventive Behaviors Related to COVID-19 in South Korea by Sungjoong Kim, Sung Kyum Cho, Sarah Prusoff LoCascio

“…The relationship between compliance with behaviors recommended to prevent the spread of COVID-19 and media exposure, negative emotions, and risk perception was examined using regression analyses of data from KAMOS, a nationally representative survey of South Korean adults. …”
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Journey into virtual reality: Identifying behavioral intentions to use virtual reality in tourism through spectral clustering by Attasit Wiangkham, Komsit Kieanwatana, Rattawut Vongvit

“…This study, through the application of Exploratory Factor Analysis and spectral clustering of empirical survey data, aims to identify clusters of behavioral intentions for using VR in tourism based on an extended Technology Acceptance Model (TAM). …”
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