Machine Learning-Based Analysis of Travel Mode Preferences: Neural and Boosting Model Comparison Using Stated Preference Data from Thailand’s Emerging High-Speed Rail Network by Chinnakrit Banyong, Natthaporn Hantanong, Supanida Nanthawong, Chamroeun Se, Panuwat Wisutwattanasak, Thanapong Champahom, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

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Integrated care for people experiencing homelessness: changes in emergency department use and behavioral health symptom severity by Lexie R. Grove, Justin K. Benzer, Maria F. McNeil, Tim Mercer

“…Outcome measures included number and probability of emergency department (ED) visits and behavioral health symptom severity measured using the Behavior and Symptom Identification Scale (BASIS-24) and the Addiction Severity Index (ASI). …”
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Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis by Laura Rosa Baratta, Linlin Xia, Daphne Lew, Elise Eiden, Y Jasmine Wu, Noshir Contractor, Bruce L Lambert, Sunny S Lou, Thomas Kannampallil

“…ObjectiveThis study investigates the characteristics of a large-scale secure messaging network and its association with health care professional messaging behaviors. MethodsData on electronic health record–integrated secure messaging use from 14 inpatient and 282 outpatient practice locations within a large Midwestern health system over a 6-month period (June 1, 2023, through November 30, 2023) were collected. …”
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A psycho-behavioral perspective research for elderly leisure sports participation via big-data and comparative analyses by Chulhwan Choi, Sung-Un Park, Dong-Kyu Kim

“…Methods First, big-data analysis using text-mining technique was conducted using the TEXTOM program to collect and analyze data between May 1, 2023 and November 24, 2024. …”
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Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery by Benoit Schmauch, Sarah S. Elsoukkary, Amika Moro, Roma Raj, Chase J. Wehrle, Kazunari Sasaki, Julien Calderaro, Patrick Sin-Chan, Federico Aucejo, Daniel E. Roberts

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Analysis of Pedestrian Lane Change Behavior Spectrum Based on Video Data at Ticket Gate Facilities in Subway Stations by Yong Fang, Qi Shi, Hua Hu, Yanxi Hao, Zhigang Liu

“…Using motion unit tracking technology, the pedestrian motion parameters were extracted from the monitoring video data at the ticket gate facilities in subway stations and the indicators of the lane change behavior were determined. …”
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Analysis of the Association between Teachers’ Classroom Teaching Behaviors and Students’ Knowledge Acceptance Based on Psychological Data Analysis by Tianjin Yao, Xiuye Yang

“…This paper adopts the method of psychological data analysis to conduct in-depth research and analysis on the correlation between teachers’ classroom teaching behaviors and students’ knowledge acceptance. …”
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Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis by Jiayu Li, Zhendiao Lin, Mengting Zou, Xin Feng, Yuanyue Liu

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An approach based on data mining and genetic algorithm to optimizing time series clustering for efficient segmentation of customer behavior by Hodjat (Hojatollah) Hamidi, Bahare Haghi

“…The effectiveness of the proposed method is validated using 30 months of transactional data from a payment services company. …”
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Behavioral and Demographic Profiles of HIV Transmission and Exposure Networks in Florida: Network Analysis of HIV Contact Tracing Data by Yiyang Liu, Christina Parisi, Chaoyue Sun, Rebecca Fisk-Hoffman, Marco Salemi, Diego Viteri, Brandi Danforth, Mattia Prosperi, Simone Marini

“…ObjectiveThis study aims to identify the geographic distribution of risk groups and their role within potential transmission networks in Florida. MethodsPublic data from the Florida Department of Health and behavioral data from the Surveillance Tools and Reporting System between 2012 and 2022 were used in these analyses. …”
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Relationship between 24-hour movement behaviors and executive function in preschool children based on compositional data analysis by Zhenya Chang, Ling Wang, Aifeng Zhu

“…Physical activity and sedentary behavior (SB) time were collected using an accelerometer, while sleep duration was recorded using a sleep diary. …”
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Data-driven design of topologically optimized auxetic metamaterials for tailored stress–strain and Poisson’s ratio-strain behaviors by Yueyou Tang, Anfu Zhang, Qi Zhou, Mu He, Liang Xia

“…To overcome these limitations, present work proposes a physics–data collaborative design framework that integrates nonlinear topology optimization with neural networks. …”
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Application of big data technology in visitor behavioral characteristics identification and energy efficiency assessment of intelligent scenic spots by Wei Zhou, Jin Cui

“…To efficiently carry out visitor management and energy efficiency management in scenic spots, the study realizes visitor behavior identification and scenic spot energy efficiency assessment based on big data technology. …”
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Big Data in Leadership Studies: Automated Machine Learning Model to Predict Preferred Leader Behavior Across Cultures by Erik Lankut, Gillian Warner-Søderholm, Ilan Alon, Inga Minelgaité

“…We offer a robust empirical measurement of culturally contingent leader behavior and entrepreneurship behaviors and provide a tool for assessing the cultural predictors of preferred leader behavior to minimize predictive errors, explore patterns in the data and make predictions in an empirically robust way. …”
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Low-intensity behavioral activation smartphone app to support low mood: description, engagement and log data analysis by Paul Farrand, Patrick J. Raue, Earlise Ward, Sandra Healey, Jonathan Baker

“…These results encourage the ongoing use of log data to further enhance usability and engagement prior to undertaking a pilot randomized controlled trial to explore potential effectiveness.…”
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Women on the Move: How Socio-Economic Background Through Lifestyle Shapes Travel Behavior to Bali by Ni Made Dyah Ryana Kurniasari, Putu Gde Arie Yudhistira

“…Using a modified version of the Theory of Planned Behavior (TPB), this study adopts a quantitative approach. …”
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Protective Factors for Marijuana Use and Suicidal Behavior Among Black LGBQ U.S. High School Students by DeKeitra Griffin, Shawndaya S. Thrasher, Keith J. Watts, Philip Baiden, Elaine M. Maccio, Miya Tate

“…This study aimed to investigate the association between protective factors, marijuana use, and suicidal behavior among Black LGBQ U.S. adolescents. …”
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Performance Modeling of Data Storage Systems Using Generative Models by Abdalaziz R. Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn

“…High-precision systems modeling is one of the main areas of industrial data analysis. Models of systems, their digital twins, are used to predict their behavior under various conditions. …”
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Analyzing and predicting short-term substance use behaviors of persons who use drugs in the great plains of the U.S. by Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan

“…The sample provides us longitudinal survey data regarding their individual attributes, including drug use behaviors, at two separate time periods spanning 4-12 months. …”
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A patient-centric benefit-risk assessment of daridorexant for the treatment of insomnia disorder using patient preference data collected in two phase 3 clinical trials by Sebastian Heidenreich, Melissa Ross, Bruno Flamion, Andrea Phillips-Beyer

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