Influence of Public Bus Driver’s Driving Behaviors on Passenger Fall Incidents: An Analysis Using Digital Tachograph Data by Harim Jeong, Wonil Park, Jaeyoung Lee, Sungho Park, Ilsoo Yun

“…This study considered potential influential factors, such as acceleration, deceleration, braking, and steering maneuvers, calculated using data from digital tachographs installed on the buses. …”
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A Study on Analyzing Travel Characteristics of Micro Electric Vehicles by Using GPS Data by Sunhoon Kim, Sooncheon Hwang, Dongmin Lee

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Does Proximity to MRT Stations Affect Online Shopping Use? An Analysis Using Data from Japan and New York by Yusei Onuma, Takanori Sakai, Tetsuro Hyodo

“…We use the two datasets. One is from a web-based survey of online shoppers in Japan. …”
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Factors affecting auditors’ decisions to adopt Big Data analytics: a mixed method study by Moath Abdelkarim Abu Al Rob, Mohd Nazli Mohd Nor, Zalailah Salleh, Alia Majed Khalaf

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Data aggregation impacts on built environment-mode share models around public transit stations by Seyed Sajjad Abdollahpour, Huyen T. K. Le, Ralph Buehler, Steve Hankey

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Online Learning of Stabilizing Controllers Using Noisy Input-Output Data and Prior Knowledge by Nariman Niknejad, Farnaz Adib Yaghmaie, Hamidreza Modares

“…Unlike traditional approaches, this method bypasses explicit system identification, directly designing controllers based on current knowledge and data. A connection between ARX models and behavior theory is established, providing necessary and sufficient stability conditions using strict lossy <italic>S</italic>-Lemma. …”
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Calibrating Microscopic Traffic Simulation Model Using Connected Vehicle Data and Genetic Algorithm by Abolfazl Afshari, Joyoung Lee, Dejan Besenski, Branislav Dimitrijevic, Lazar Spasovic

“…This study introduces a data-driven approach to calibrate microscopic traffic simulation models like VISSIM using high-resolution trajectory data, aiming to improve simulation accuracy and fidelity. …”
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Classifying social position with social media behavioral data by Júlia Koltai, Zsófia Rakovics, Zoltán Kmetty, Kata Számel, Borbála Ungvári, Bendegúz Váradi, Ákos Huszár

“…Nevertheless, there are few data, which both measure social inequalities and digital behavior: scientists either have information on the social status of people, or on their observed digital behavior, but not on both. …”
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Data-Supported Prediction of Surface Settlement Behavior on Opencast Mine Dumps Using Satellite-Based Radar Interferometry Observations by Jörg Benndorf, Natalie Merkel, Andre John

“…This dual approach—leveraging advanced data analysis tools and precise modeling—yields valuable insights into spatial settlement behavior. …”
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Investigating Therapeutic Targets for Alcohol Use Disorder: Pharmacological View of ClinicalTrials.gov Data by Alorfi NM

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Correction: Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data by Paul Farrand, Patrick J Raue, Earlise Ward, Dean Repper, Jonathan Baker, Patricia Areán

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Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study by Mehrab Beikzadeh, Ian W Holloway, Kimmo Kärkkäinen, Chenglin Hong, Cory Cascalheira, Elizabeth S C Wu, Callisto Boka, Alexandra C Avendaño, Elizabeth A Yonko, Majid Sarrafzadeh

“…Expanding data collection may improve the results further, as certain behaviors, such as injection drug use, were quite rare in the study sample. …”
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Beyond UTAUT: Integrating Digital Literacy and Voluntariness of Use to Understand Cashless Payment Behavior by Damayanti Kurnia Asri, Jani Tamtomo, Muhammad Kafa Billah, Evi Rinawati Simanjuntak

“…The study aims to identify the factors influencing MSME owners' behavioral intention and usage behavior regarding digital payment systems, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. …”
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Predicting Online Shopping Behavior: Using Machine Learning and Google Analytics to Classify User Engagement by Dimitris C. Gkikas, Prokopis K. Theodoridis

“…User engagement metrics, including engaged sessions, average engagement time, bounce rate, and conversions, provide significant insights into online behavior. This study utilizes Google Analytics data insights and predictive statistics to analyze these metrics and apply classification models to enhance digital marketing strategies. …”
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Enhancing Crowd Safety at Hajj: Real-Time Detection of Abnormal Behavior Using YOLOv9 by Amani A. Alsabei, Tahani M. Alsubait, Hosam H. Alhakami

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Psychoactive Substance Uses and Sexual Behavior by Esmaeil Naseri

“…Method: This study employed a narrative review methodology. To collect data, relevant articles were searched using the keywords  substance use, functions and dysfunctions, sexual behaviors, and  sexual assault. using Google Scholar and PubMed, as well as the NOORMAGS, SID, and Irandoc databases. …”
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Modeling the dynamic heat transfer behavior during long-distance roadway excavation using the method of moving mesh and data inheritance by Peng Shi, Zhijun Wan, Yuan Zhang, Zheng Zhen, Jiale Zhou

“…This study established a dynamic full-coupling model of forced ventilation of air ducts during roadway excavation. The model was solved using moving mesh and data inheritance methodologies to elucidate the spacetime evolution law of the airflow velocity and temperature fields in roadway excavation. …”
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An equipment behavioral study in fluidic production processes using data for an optimized predictive maintenance: Application to pneumatic valves in biopharmaceutical Industry by Wadel Florent, Tighazoui Ayoub, Houssin Remy, Coulibaly Amadou

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Respiratory chronic health conditions and racial disparities associated with e-cigarette use: a cross-sectional analysis using behavioral risk factor surveillance data by Ashley Comiford, Steven Pan, Sixia Chen

“…The overall objective was to assess the associations between e-cigarette use and COPD and asthma and how race/ethnicity and cigarette smoking modifies these associations.MethodsData were retrieved from the 2016–2018 and 2020–2021 Behavioral Risk Factor Surveillance System datasets, a national annual health survey representing the US general adult population. …”
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Using Heart Rate and Behaviors to Predict Effective Intervention Strategies for Children on the Autism Spectrum: Validation of a Technology-Based Intervention by Amarachi Emezie, Rima Kamel, Morgan Dunphy, Amanda Young, Heather J. Nuske

“…This study examined whether heart rate data can predict strategy effectiveness. Teachers and coders from the research team recorded behavioral and heart rate data over three months for each participating student on the autism spectrum using the KeepCalm app, a platform that provides in-the-moment strategy suggestions based on heart rate and past behavioral data, across 226 instances of strategy interventions. …”
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