Evaluation Method for the Liquefaction Potential Using the Standard Penetration Test Value Based on the CPTU Soil Behavior Type Index by Guangyin Du, Changhui Gao, Songyu Liu, Qian Guo, Tao Luo

“…N63.5 is expressed by a single Ic, which is calculated from the CPTU data. Compared with existing evaluation methods, this method can provide continuous standard penetration test values, moreover, this method involves a simple calculation, and the results obtained using the method are reliable.…”
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Changes in bullying behavior through agents of change using the balinese fable animation "Tat Twam Asi" in Jembrana regency by Putu Sukma Megaputri, Putu Dian Prima Kusuma Dewi, Made Bayu Oka Widiarta, Made Padmarani Sudewiputri

“…The analysis was conducted in two stages and statistical analysis using the Wilcoxon signed-rank test, following a normality test of the data. …”
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Effect of Nb/B addition on the flow behavior and mechanical properties of low-carbon steel using compact strip production by Ahmed Refaee, Eman El-Shenawy, Aly El Domiaty, Abdalla M. Abdalla, Reham Reda

“…The microstructure and high-temperature flow behavior were studied using thermomechanical controlled processing at different deformation temperatures with a 40% reduction using the Gleeble physical simulator. …”
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Wearable Sensor-Based Behavioral User Authentication Using a Hybrid Deep Learning Approach with Squeeze-and-Excitation Mechanism by Sakorn Mekruksavanich, Anuchit Jitpattanakul

“…We present a hybrid deep learning network called SE-DeepConvNet, which integrates a squeeze-and-excitation (SE) method to proficiently simulate and authenticate user behavior characteristics. Our methodology utilizes data collected by wearable sensors, such as accelerometers, gyroscopes, and magnetometers, to obtain a thorough behavioral appearance. …”
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Behavior Modeling and Bio-Hybrid Systems: Using Reinforcement Learning to Enhance Cyborg Cockroach in Bio-Inspired Swarm Robotics by Le Minh Triet, Nguyen Truong Thinh

“…The proposed methodology includes modeling cockroach behaviors through data-driven techniques, designing a control framework using RL, and integrating these systems into a swarm robotics architecture. …”
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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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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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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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My privacy at risk – my guard is on: a study of SNS use among young adults by Meenakshi Handa, Ronika Bhalla, Parul Ahuja

“…Design/methodology/approach – Data collected from 284 young adults active on SNS was analyzed through partial least squares structural equation modeling using Smart PLS. …”
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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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Statistics of searching behaviour of database users of scientific information by O. L. Golitsina, N. V. Maksimov

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Investigating the Factors Affecting Accountants' Behavioral Intentions in Accounting Information System Adoption: Empirical Evidence of Unified Theory of Acceptance and Use of tech... by Fereshteh Pourghanbari, Hassan Yazdifar, Mahdi Faghani

“…However, factors affecting the accounting information system's success are the adoption and use by accountants in organizations. The present study used the unified model of acceptance and the use of technology and the model of task-technology fit to investigate the factors affecting the accountants' behavioral intentions regarding an accounting information system adoption. …”
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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 method achieved automation of architecture discovery and fine-tuning of hyperparameters by utilizing Neural Architecture Search (NAS) to explore a wide range of neural network architectures for crime prediction and optimizing the hyperparameters of the discovered architecture for peak performance in binary crime prediction, respectively. The study used three datasets: criminal cases dataset (self-collected dataset), Vancouver crime data, and Austin crime data. …”
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