Experimental Investigation of the Shear Behavior of a Concrete Beam without Web Reinforcements Using External Vertical Prestressing Rebars by Xingwei Xue, Xuan Wang, Xudong Hua, Meizhong Wu, Longqing Wu, Zhuang Ma, Junlong Zhou

“…Experimental data were obtained from seven test beams with varying influencing factors (stirrup ratio ρsEP, arrangement spacing s, prestressing force Fp, and compressive stress degree γp of the EVPRs) to determine their effects on the shear behavior. …”
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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

“…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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Exploring slow fashion consumer buying behavior in the context of sustainability: a systematic literature review using TCCM approach by Pappu Sindhuja, V. V. Devi Prasad Kotni, Aervina Misron, Halimaton Hakimi, Sai Deepti Udandrao

“…This study delves into the current state of sustainable fashion research, encompassing theoretical frameworks, socio-demographic factors, geographical contexts, and product categories that have been extensively researched using the TCCM framework. This study systematically searched, selected, and synthesized relevant data to provide a rich literature map. …”
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Consumers' motivation to purchase electric vehicles: a mixed-methods belief elicitation study using theory of planned behavior by Shun Mya Thwe, Weng Marc Lim, Kian Yeik Koay, Derek Ong

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Measuring the development of social-emotional competence using behavioral rating scales in the context of school-based social and emotional learning by Juyeon Lee, Valerie B. Shapiro, Jennifer L. Robitaille, Paul LeBuffe

“…The data involve six waves of teacher ratings of student SEC, collected for three consecutive years using the DESSA-Mini (N = 1146; Grades K-2 at baseline). …”
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The effect of digital detox through digital minimalism using the MinimalistPhone app on the behavior of young users and their emotional experience by Milica Schraggeová, Daniel Bisaha

“…Participants in the experimental group used the MinimalistPhone app for 14 days. The app encourages intentional smartphone use by disrupting habits and removing visual cues that trigger unconscious behavior. …”
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Monitoring Multiple Behaviors in Beef Calves Raised in Cow–Calf Contact Systems Using a Machine Learning Approach by Seong-Jin Kim, Xue-Cheng Jin, Rajaraman Bharanidharan, Na-Yeon Kim

“…This study aimed to develop and validate a machine learning-based technique for the simultaneous monitoring of multiple behaviors in pre-weaned beef calves within a cow–calf contact (CCC) system using collar-mounted sensors integrating accelerometers and gyroscopes. …”
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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

“…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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Formulation of low temperature mixed mode crack propagation behavior of crumb rubber modified HMA using artificial intelligence by Sepehr Ghafari, Mehrdad Ehsani, Sajad Ranjbar, Mohammad Nabi Nazari, Fereidoon Moghadas Nejad

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Profiles of innovative behavior and associated predictors among clinical nurses: a multicenter study using latent profile analysis by Husheng Li, Yue Qiao, Tianxiang Wan, Chun Hua Shao, Fule Wen, Xiaoxin Liu

“…Abstract Background Innovative Behavior (IB) is a key prerequisite for nurses in solving clinical problems. …”
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The lasting influence of parenting intervention on child behavior: findings from a randomized clinical trial using care for child development guidelines by Kasra Talebi Anaraki, Nastaran Ghanbarian Alavijeh, Maryam Bemanalizadeh, Omid Yaghini, Negin Badihian, Mehri Khoshhali, Shervin Badihian, Neda Hosseini, Marziye Purpirali, Mansoore Abadian, Seyede Shahrbanoo Daniali, Roya Kelishadi

“…The main outcome was the children’s socio-emotional behavior problems using the Children Behavior Checklist (CBCL) at 18, 36, and 48 months. …”
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The Influence Of Online Games On Students Language Behavior: Identifying the Use of Taboo Words Among Students at English Education Study of UKI Toraja by Shilfani Shilfani, Normalia Sirande, Novric Caesar Tangdialla

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Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

“…IntroductionDepression is a rising global health issue, particularly among adolescents, with university students facing distinct mental health challenges.MethodsThis proof-of-concept study explores smartphone sensor-based depression detection in Chinese university campus settings using a small sample of 12 participants. We utilized data from accelerometers, gyroscopes, and light sensors to establish associations between smartphone-derived behavioral patterns and PHQ-9 scores, a standard depression measure. …”
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The use of big data and the internet of things leadership and organizational culture: The innovative capacity of the Amman Stock Exchange by Khaled Yousef Alshboul

“…The study method uses a quantitative approach that includes conducting a professional survey, conducting a statistical analysis, and testing mediation Key results show that the use of big data improves the ability to innovate largely, and affects employees’ practical leadership capabilities The interaction between Internet adoption and leadership capabilities is influenced by product capabilities, which emphasizes the important role of innovation as a mediator in shaping employee behavior emphasizing Practical results of this study show that Amman Stock Exchange companies strategically use big data and IoT technologies to promote innovation. …”
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Policy stakeholders' perspectives and use of data, research evidence, and misinformation in three counties in California, USA during the COVID-19 pandemic, 2020–2022 by Joshua Murillo, Tessa R. Pulido, Aerika Brittian Loyd, Andrew M. Subica, Irene H. Yen, Denise D. Payán

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Application of the Extended Unified Theory of Acceptance and Use of Technology to a Robotic Golf Caddy: Health Consciousness as a Moderator by Kyuhyeon Joo, Heather Markham Kim, Jinsoo Hwang

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Chat-rgie: precision extraction of rice germplasm data using large language models and prompt engineering by Yijin Wei, Jingchao Fan

“…Furthermore, when we examined the data extraction results, we discovered that when confronted with an unanswerable answer, the LLM is affected by the stress provided by the prompt, and the higher the stress, the more likely it is to engage in constraint-violating behavior, which is similar to what humans do when stressed. …”
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Improved Crime Prediction Using Hybrid Neural Architecture Search Together with Hyperparameter Tuning by Rami Ayied Alshahrani, Tariq Jamil Saifullah Khanzada

“…The study considered the robust rank aggregation (RRA) feature selection method to rank and select the best features to predict crime behavior in some countries. The chosen features using robust rank aggregation included current position, age range, month, prisoner condition, and identified/unidentified (ide/unide). …”
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Mathematical dependence for the 137Cs concentration in spent nuclear fuel and its using for experimental data processing by V. V Galchenko, V. L. Diemokhin

“…The formula’s calculation results on 137Cs concentration were compared with ORIGEN and STURBUCS of SCALE-5 computer codes system calculations with some RBMK-1000 fuel experimental data. Using offered dependence the RBMK experimental samples cooling time were founded and isotopic compositions calculations were made with proper cooling time. …”
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The Impact of Smartphone Use on Children’s Mental Health: A Digital Approach Based on AI and Big Data by Damaris HOTIMA, Darius TURCIAN

“…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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