Participant Adherence in Repeated-Dose Clinical Studies Using Video-Based Observation: Retrospective Data Analysis by Seunghoon Han, Jihong Song, Sungpil Han, Suein Choi, Jonghyuk Lim, Byeong Yeob Oh, Dongoh Shin

“…MethodsA retrospective analysis was conducted using data from 17,619 SAI events in repeated-dose clinical trials using the VSMS between February 2020 and March 2023. …”
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High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling by Álvaro Agustín Chávez-Durán, Miguel Olvera-Vargas, Inmaculada Aguado, Blanca Lorena Figueroa-Rangel, Ramón Trucíos-Caciano, Ernesto Alonso Rubio-Camacho, Jaqueline Xelhuantzi-Carmona, Mariano García

“…This paper introduces a novel method for mapping the spatial distribution of litter and duff fuel loads using data collected by unmanned aerial vehicles. …”
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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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Religiosity and Risky Behavior by seyed alireza afshani, shermin emami, akram mirmongereh

“…The measurement tool of risky behavior is Iranian Youth risk scale. The data was analyzed using structural equation modeling, correlation and t-test. …”
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Evaluation of eco-driving performance of electric vehicles using driving behavior-enabled graph spectrums: A naturalistic driving study in China by Hui Zhang, Yiyue Luo, Naikan Ding, Toshiyuki Yamamoto, Chenming Fan, Chunhui Yang, Wei Xu, Chaozhong Wu

“…However, current researches on ecological driving behavior mostly use structured data to reflect the characteristics of ecological driving behavior, and it is difficult to accurately reveal the recessive relationship between driving behavior and energy consumption. …”
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Comparing the stability and reproducibility of brain-behavior relationships found using canonical correlation analysis and partial least squares within the ABCD sample by Hajer Nakua, Ju-Chi Yu, Hervé Abdi, Colin Hawco, Aristotle Voineskos, Sean Hill, Meng-Chuan Lai, Anne L. Wheeler, Anthony Randal McIntosh, Stephanie H. Ameis

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Identifying and Labeling Potentially Risky Driving: A Multistage Process Using Real-World Driving Data by Charles Marks, Arash Jahangiri, Sahar Ghanipoor Machiani

“…In the second stage, subsets of the reformatted data are labeled as potentially risky (or not) using the Iterative-DBSCAN method. …”
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Behavioral nudge capabilities and environmental behavior: Unveiling the mediating role of cultural identity by Roghayeh Hasanzadeh, Davoud Haghkhah

“…Organizations, especially in the education sector, are vital in encouraging pro-environmental behaviors among staff. This study explores the connections between behavioral nudge capabilities, cultural identity, and employee environmental actions within an educational institution. …”
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Editorial: Machine learning approaches for monitoring mental health and substance abuse using social media data by Danila Azzolina, Erica Secchettin, Paola Berchialla, Tingshao Zhu, Aslihan Şentürk Acar, Dario Gregori

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Minimizing Odontophobia in Children Using Colored Compomers in Restorative Pediatric Dentistry by Andrea Natalia Mascarenhas, Pallavi Urs, Chandana Krishna Shree CH, Pooja HR, Richa Lakhotia, Priya Nagar

“…Materials and methods: A total of 30 children belonging to the age group of 5–12 years of age with occlusal caries in the primary or secondary posteriors after fulfilling the inclusion and exclusion criteria were grouped based on their preference of restorative material into three groups of (1) traditional composite, (2) blue compomer, and (3) pink compomer. Frankl behavior rating scale was used to assess the dental behavior of each child participating in the study, while Venham picture test was used to assess the anxiety levels among children pre and postdental procedure. …”
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Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection by Kevin Thomas, Ahasanur Rahman, Wesam Rohouma, Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Amith Khandakar

“…This paper introduces a new dataset for comprehensive fault diagnosis of three-phase induction motors, featuring synchronized multi-sensor data collection. Real-time measurements of vibration, voltage, and current were captured from a 0.2 kW squirrel cage induction motor using high-resolution sensors, with all signals sampled at 50 kHz. …”
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Exploring the ethical issues in research using digital data collection strategies with minors: A scoping review. by Danica Facca, Maxwell J Smith, Jacob Shelley, Daniel Lizotte, Lorie Donelle

“…As such, this paper reports the findings of a scoping review which explored existing literature to canvass current ethical issues that arise when using digital data collection in research with minors. …”
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Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation. by Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani

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Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients. by Jaclyn M Hall, Jie Xu, Marta G Walsh, Hee-Deok Cho, Grant Harrell, Shailina A Keshwani, Steven M Smith, Stephanie A S Staras

“…Identifying distinct subphenotypes of HTN may improve our understanding of its underlying mechanisms and guide more precise treatment or public health initiatives.<h4>Methods</h4>Using EHR and Medicaid claims data from the OneFlorida+ research consortium (2012-2021), we identified a cohort of adult Floridians with newly diagnosed HTN (first diagnosis following two outpatient blood pressures ≥140/90 mmHg & no prior anti-HTN treatment). …”
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Prevalence and determinants of hypertension in rwanda: a secondary data analysis using the WHO STEPS survey 2022 by Jean Damascene Hagenimana, Kagisha Divine Pascaline, Felix K. Rubuga, Kelly Mwiza, Sabine Musange F., Nathalie Umutoni, Caroline Mudereri, Jocelyne Uwitonze, Emmanuel Christian Nyabyenda, Piero I. Mazimpaka, Olivier N. Wane, Eric remera, Uwimana Aline, Marie Rosette NAHIMANA, Jeanine Condo, Gashaija Absolomon

“…This study aimed to assess hypertension prevalence and key determinants using data from the 2022 Rwanda WHO STEPS Survey to inform targeted prevention and intervention strategies. …”
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The role of technology and screen media use in treatment outcomes of children participating in a digital mental health intervention: a retrospective analysis of Bend Health by Kelsey McAlister, Darian Lawrence-Sidebottom, Donna McCutchen, Monika Roots, Jennifer Huberty, Jennifer Huberty

“…Video streaming, internet use, and gaming were linked to inattention, hyperactivity, and oppositional behavior (P's &lt; 0.05). …”
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Plasticity and Fracture Behavior of High-Strength Bolts Considering Steel Shear Behavior by Yajun Zhang, Longteng Liang, Jian Zhu, Ruilin Zhang

“…The combined S-V model and the modified shear constitutive model are collaboratively used to calibrate and describe the tensile and shear constitutive relations of high-strength bolts, and then the Bao–Wierzbicki model is used to predict the tensile and shear fracture behaviors. …”
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PROMOTING POSITIVE BEHAVIOR: ANALYZING THE EFFECTIVENESS OF THE GOOD BEHAVIOR GAME IN CLASSROOM SETTINGS by F. Alidemaj

“…Pre-and post-intervention data were collected using questionnaires grounded in mindset theory, measuring self-efficacy and classroom behaviors. …”
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Information spread behavior of clubhouse: A value-attitude-behavior model perspective by Yu-Feng Wu, Yu-Tai Wu, Jian-Hong Ye, Jhen-Ni Ye

“…The collected data were assessed for reliability and validity before being analyzed using structural equation modeling for confirmatory factor analysis and model verification. …”
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Using the socioecological model to explore factors associated with obesity among reproductive age women by Amanda Gilbert, Alicia Persaud, Sarah Farabi, Sarah Farabi, Cindy Schwarz, Debra Haire-Joshu, Rachel G. Tabak

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