Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data by S. Daenens, S. Daenens, S. Daenens, T. Verstraeten, T. Verstraeten, T. Verstraeten, P.-J. Daems, P.-J. Daems, A. Nowé, J. Helsen, J. Helsen, J. Helsen

“…Our model is integrated into a normal behavior model (NBM) framework for analyzing power loss events in wind farms. …”
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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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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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Unlocking the Potential of Digital Payment: How Financial Habits Drive Digital Payment Adoption Among Indonesia's MSMEs by Evelin Sutrisno, Romauli Nainggolan

“…Data were collected using a structured questionnaire and processed with SmartPLS 4.0. …”
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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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The impact of health literacy on smoking patterns among male residents: insights from Ningbo City by Zhenbo Tao, Qianqian Xu, Yingying Zhu, Qiuyan Jin, Lingwei Chen, Shige Ding, Shuning Zhao, Ying Dong

“…BackgroundThis study examined the associations between health literacy and smoking behaviors among residents in Ningbo City, Zhejiang Province, China, investigating both the impact of health literacy on smoking prevalence and intensity, and its potential role in smoking cessation interventions.MethodsThis cross-sectional study analyzed data from 2,948 male participants in the 2023 Health Literacy and Tobacco Use Surveillance Survey. …”
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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

“…Themes which emerged across the reviewed literature included: consent, data handling, minors' data rights, observing behaviors that may result in risk of harm to participants or others, private versus public conceptualizations of data generated through social media, and gatekeeping. …”
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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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Use of mobile phones to collect data on COVID-19: phone access and participation rates, in Rakai, Uganda by Robert Ssekubugu, Anthony Ndyanabo, Fredrick Makumbi, Anna Mia Ekström, Laura Beres, Grace Nalwoga Kigozi, Hadijja Nakawooya, Joseph Ssekasanvu, Maria J Wawer, Fred Nalugoda, Nelson Sewankambo, Victor Ssempijja, Betty Nantume, David Serwadda, Godfrey Kigozi, Ronald H. Gray, Larry W. Chang, M. Kate Grabowski, Helena Nordenstedt, Joseph Kagaayi

“…We supplemented phone survey data with demographic, behavioral, and HIV status data from prior face-to-face RCCS surveys. …”
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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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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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