Mining Spatiotemporal Mobility Patterns Using Improved Deep Time Series Clustering by Ziyi Zhang, Diya Li, Zhe Zhang, Nick Duffield

“…Mining spatiotemporal mobility patterns is crucial for optimizing urban planning, enhancing transportation systems, and improving public safety by providing useful insights into human movement and behavior over space and time. …”
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Detecting Defects in Sequential Inputs to Digital Twins Using Machine Learning by Nathaniel Brown, Steven Simske

“…This method shows promise, as it successfully identified defects in trajectories in real time using only historical data without knowledge of the future of the data stream. …”
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The impact of health promotion training on university students’ health perceptions, healthy lifestyle behaviors, and risky behaviors by Bahar Kefel¡ Çol, Ayşe Gümüşler Başaran, Burcu Genç Köse

“…The Health Perception Scale, the Healthy Lifestyle Behaviors Scale, and the Risky Behaviors Scale were used to collect the data. …”
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Childhood maltreatment and longitudinal trajectories of disordered eating behaviors: sociodemographic moderators and behavior-specific sensitivity analyses by Lina Modjarrad, Nicole Marlow, Avery Bollinger, Yenan Zhu

“…Methods Data from Waves I–III of Add Health (ages 11–26) were used to assess DEB trajectories, with retrospective childhood maltreatment data collected in Wave IV. …”
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Applying the extended theory of planned behavior to understand domestic tourists’ behaviors in post COVID-19 era by T. T. B Bui

“…This study empirically examines the factors impacting domestic tourist behavior by using the partial least squares structural equation modeling (PLS-SEM) method. …”
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The impact of counterproductive work behavior on organizational citizenship behavior: the moderating role of moral identity and organizational justice by Bang Nguyen-Viet, Tien Vo Tri Chau

“…This study examines the relationship between counterproductive work behavior (CWB) and organizational citizenship behavior (OCB), as well as the role of guilt (G), emotional exhaustion (EE), organizational justice (OJ), and moral identity (MI). …”
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Simulation-based driver scoring and profiling system by Jelena Medarević, Sašo Tomažič, Jaka Sodnik

“…This paper describes a rule-based Driver Scoring System model, derived from behavioral data collected using a driving simulator. …”
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A Study of Customer Orientation and Customer Commitment in the Food Sector of Pakistan by Muhammad Ahmad, Mirza Ashfaq Ahmed

“…Furthermore, the Smart-PLS is used to test the standardized dyadic data sets. Results have provided substantial support for the proposed conceptual model. …”
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The Effect of Cognitive-Behavioral Intervention on Self-Care Behaviors and Blood Pressure Control in Patients with Primary Hypertension by Elham Ebrahimidorcheh, Mahin Nematollahi, Ahmadali Eslami

“…Data were analyzed by SPSS 25 software using statistical methods of Chi-Square, Fisher exact test, Mann-Whitney, ANCOVA, t-test. …”
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Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population‐Based Studies: Report of a National Heart, Lung, and Blood Institute... by Gabriel Anaya, Kelley Pettee Gabriel, Marie‐Pierre St‐Onge, Linda V. van Horn, Alfonso Alfini, Sylvia E. Badon, Carol Boushey, Alison Brown, Christopher M. Depner, Keith M. Diaz, Aiden Doherty, Erin E. Dooley, Dorothea Dumuid, Julio Fernandez‐Mendoza, Michael A. Grandner, Kirsten A. Herrick, Frank B. Hu, Kristen L. Knutson, Amanda Paluch, Charlotte A. Pratt, Jared P. Reis, Jennifer Schrack, Marissa M. Shams‐White, Diana Thomas, Katherine L. Tucker, Maya K. Vadiveloo, Dana L. Wolff‐Hughes, Yuling Hong

“…The workshop highlighted the importance of standardizing procedures for integrated behavioral phenotypes using time‐series data. These efforts aim to refine data accuracy and comparability across studies and populations, thereby advancing our understanding of lifestyle behaviors and their impact on chronic disease outcomes over the life course.…”
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The mediating role of healthy behaviors and self-perceived health in the relationship between eating behaviors and comorbidity in adults by Cristian Ramos-Vera, Gleni Quispe-Callo, Miguel Basauri-Delgado, Yaquelin E. Calizaya-Milla, Christian Casas-Gálvez, Norma Del Carmen Gálvez-Díaz, Jacksaint Saintila

“…This study aimed to evaluate the mediating role of these factors in the relationship between eating behaviors and comorbidity in U.S. adults. Methods A cross-sectional predictive study using data from 5,247 adults from the Health Information National Trends Survey (HINTS) 5, cycle 3 (2019) was conducted. …”
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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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Crash injury severity for ride-hailing drivers: a questionnaire study in China by Yan Zhang, Shiyuan Liu

“…From an online, self-reported survey of 1356 ride-hailing drivers across the country, we collected data about the drivers’ demographic characteristics, working conditions, fatigue, risky driving behaviors and accident records between 2021 and 2023. …”
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Capturing information needs in disaster situations by using temporal and spatial offset learning (TSOL) by Kota Tsubouchi, Shuji Yamaguchi

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Highly selective and efficient phosphate removal from water bodies using triethanolamine-assisted glycine-intercalated layered double hydroxide composites by Gaole Yan, Hongtao Wu, Haining Ja, Xianghai Li, Gang Yang

“…Kinetic studies reveal that the material's adsorption behavior is primarily governed by ion exchange, adsorption at surface active sites, and intraparticle diffusion.…”
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Analysis of ChatGPT User Acceptance Among Gen Z using UTAUT2 and TPB Methods by Defri Indra Putra, Mona Fronita, Angraini Angraini, Megawati Megawati

“…Based on data analysis using Structural Equation Modeling with the Partial Least Squares (SEM-PLS) approach, the research model demonstrates strong explanatory power, with an R² value of 0.722 for behavioral intention and 0.687 for use behavior. …”
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Predictors of pregnant and breastfeeding women’s intention to use traditional Chinese medicine: a cross-sectional study from China by Zanmei Li, Jiao Li, Yushan Lan, Liangkun Ma, Lei Xuan

“…Methods A cross-sectional survey was conducted among 264 pregnant and breastfeeding women from diverse regions in mainland China between July and October 2023. Data were collected through an online questionnaire that included demographic information, TPB-based measures (attitudes, subjective norms, perceived behavioral control, intention), and past TCM use experiences. …”
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Proposal of a method to observe road status using UAV considering post-disaster urgency based on mobile spatial dynamics data by Jun Sakamoto

“…We propose a method for efficiently observing road damage after a disaster using population flow data derived from UAV and GPS data. …”
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Exploring the Current Situation and Developing Strategies for Behavior Change to Improve Antibiotic Use in West Africa: Protocol for a Multidisciplinary Interventional Research Pro... by Maresa Neuerer, Carine Baxerres, Denise Dekker, Blandine Bila, Daniel Arhinful, Leslie Mawuli Aglanu, Charity Wiafe Akenten, Boubacar Coulibaly, Ali Sié, John Humphrey Amuasi, Aurélia Souares

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Assessment of Environmental, Sociocultural, and Physiological Influences on Women’s Toileting Decisions and Behaviors Using “Where I Go”: Pilot Study of a Mobile App by Abigail R Smith, Elizabeth R Mueller, Cora E Lewis, Alayne Markland, Caroline Smerdon, Ariana L Smith, Siobhan Sutcliffe, Jean F Wyman, Lisa Kane Low, Janis M Miller

“… Abstract BackgroundLittle is known about women’s decisions around toileting for urination and how those decisions influence moment-to-moment behaviors to manage bladder needs. The new smartphone app “Where I Go” captures such nuanced and granular data in real-world environments. …”
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