Immigrant Health Inequalities in the United States: Use of Eight Major National Data Systems by Gopal K. Singh, Alfonso Rodriguez-Lainz, Michael D. Kogan

“…Survival and logistic regression, prevalence, and age-adjusted death rates were used to examine differentials. Although these data systems vary considerably in their coverage of health and behavioral characteristics, ethnic-immigrant groups, and time periods, they all serve as important research databases for understanding the health of US immigrants. …”
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Bimodal data analysis for early detection of lameness in dairy cows using artificial intelligence by Yashan Dhaliwal, Hangqing Bi, Suresh Neethirajan

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Assessing seasonal and weather effects on depression and physical activity using mobile health data by Yuezhou Zhang, Amos A. Folarin, Yatharth Ranjan, Nicholas Cummins, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Shaoxiong Sun, Srinivasan Vairavan, Faith Matcham, Carolin Oetzmann, Sara Siddi, Femke Lamers, Sara Simblett, Til Wykes, David C. Mohr, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, Abhishek Pratap, RADAR-CNS consortium

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ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classificationZenoob - EU Open Research Repository by Oshana Iddi Dissanayake, Sarah E. McPherson, Joseph Allyndrée, Emer Kennedy, Pádraig Cunningham, Lucile Riaboff

“…However, this accelerometer time series data must be aligned with labels describing behaviors (gold standard) to be used for model development. …”
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Efficacy of cognitive-behavioral therapy in reducing muscle dysmorphia symptoms among Turkish gym goers: A pilot study by Metin Çınaroğlu, Eda Yılmazer, Selami Varol Ülker, Esra Noyan Ahlatcıoğlu, Gökben Hızlı Sayar

“…The study aimed to explore how CBT impacts their body image perceptions, exercise behaviors, steroid use, and emotional responses. Data were collected through participant feedback during therapy sessions, with thematic analysis revealing significant shifts in body image perception and reductions in compulsive behaviors and steroid use. …”
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Investigating the Factors Influencing Behavioral Intention and Adoption of Artificial Intelligence Technology: A Case Study of Cultivation and Industries at Razavi Agricultural Com... by A. Sani Heidary, E. Safari

“…Excel 2019 software was used to analyze the raw data of the questionnaire and SmartPLS software was used to test the research hypotheses. …”
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The role of risk, religiosity, fairness, and norms on attitude and intention of movie piracy: insight from the perspective of young Indonesian users by Muhammad Azwar Massijaya, Rosmah Mohamed, Anuar Shah Bali Mahomed

“…Data were analyzed using PLS-SEM. Risk, fairness, and intrinsic religiosity have a significant influence on attitude and intention toward movie piracy, while extrinsic religiosity and descriptive norms do not. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…While the method effectively differentiates adults and children using body aspect ratios, it cannot yet distinguish other demographic groups and their detailed semantic behaviors. …”
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Investigating Publics’ Communicative Action in Problem Solving (CAPS) Through Data Science by Sunha Yeo, Joohee Kim, Juwon Kim, Sungahn Ko

“…This study examined the communicative action in problem solving model through data science-driven approaches to enhance the understanding of online publics’ communication behaviors. …”
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Discovering activity transition patterns in social media check-in behavior via temporal activity motifs by Rui Zhao, Yong Gao

“…Abstract Location-Based Social Network (LBSN) has produced a large quantity of user check-in data. A profound understanding of user behavior and intrinsic needs can be achieved by identifying patterns in activity type transitions, thereby enabling more intelligent location-based services. …”
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diaLogic: A Multi-Modal Framework for Automated Team Behavior Modeling Based on Speech Acquisition by Ryan Duke, Alex Doboli

“…Team behavior is modeled using multi-modal data about cognition, social interactions, and emotions acquired from speech inputs. …”
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A Mobile App (Joint Effort) to Support Cannabis Use Self-Management and Reinforce the Use of Protective Behavioral Strategies: Development Process and Usability Testing by José Côté, Patricia Auger, Gabrielle Chicoine, Jinghui Cheng, Sylvie Cossette, Guillaume Fontaine, Christine Genest, Shalini Lal, Judith Lapierre, M Gabrielle Pagé, Marc-André Maheu-Cadotte, Geneviève Rouleau, Billy Vinette, Didier Jutras-Aswad

“…ResultsFour themes were identified from the interviews: Joint Effort was visually pleasing and easy to use; the content was well-adapted to the target audience and nonjudgmental; customization functions were appreciated; and the app was perceived as helpful and relevant for initiating behavior change. …”
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Identifying subgroups of Chinese men who have sex with men based on sexual behavior and drug use patterns using a clustering analysis approach by Bingyang She, Jiajun Sun, Fang Lu, Siqi Lin, Yi Liu, Gaixia Li, Yawu Hu, Weiming Tang, Rayner Tan, Jason Ong, Shu Su, Lei Zhang

“…This study explores how SDU affects sexual behaviors in Chinese MSM. Methods We collected demographics, sexual acts, drug use, and condom attitudes data among 890 MSM from across China via WeChat ads through community-based organizations from March 23 to April 22, 2022.Cluster analysis using Gower’s distance and hierarchical clustering explored differences in sexual acts among MSM who reported SDU in their last encounter and otherwise. …”
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Buprenorphine and postpartum contraception utilization among people with opioid use disorder: a multi-state analysis by Kevin Y. Xu, Jennifer K. Bello, Joanna Buss, Hendrée E. Jones, Laura J. Bierut, Dustin Stwalley, Hannah S. Szlyk, Caitlin E. Martin, Jeannie C. Kelly, Ebony B. Carter, Elizabeth E. Krans, Richard A. Grucza

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Ascertaining Association of Dermatoglyphic Pattern with Digits Using Correspondence Analysis Among Male and Female Convicted Prisoners by Jatinder Kaur, Maninder Kaur, Shriya Kalia

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DETERMINANTS OF STRUCTURAL DIMENSION OF DAILY BEHAVIOUR IN A TRADITIONAL AFRICAN CITY: A CASE STUDY OF ILORIN, NIGERIA by Moses Olutoyin ADEDOKUN

“…Descriptive statistics were used to summarize the data while Principal Component Analysis was used to test the research hypotheses. …”
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A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming by Muhammad Babar

“…The system is designed for distributed and parallel execution, leveraging Spark’s map-reduce capabilities for high-throughput, low-latency data handling. Empirical evaluations using the Portuguese Bank Marketing dataset demonstrate that the proposed architecture achieves a high prediction accuracy of 90.9%, outperforming individual models such as Logistic Regression, SVM, and Random Forest. …”
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Le ciblage comportemental, une perte de contrôle des éditeurs sur les données de l’audience by Alan OUAKRAT

“…Rather, it is the combination of the availability of new technologies, driven by technological firms that has, at some point, met the needs of advertisers and helped to redefine them. The use of the Internet user’s navigational data is a prerequisite to targeting.…”
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Underwater Line Monitoring Using Optimally Placed Inclinometers by Chungkuk Jin, Seong Hyeon Hong

“…Through these examples, the proposed algorithm was proven to capture global behaviors accurately when optimally located sensors are used. …”
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Using participant or non-participant observation to explain information behaviour. Participant observation, Non-participant observation, Information behaviour, Hospital pharmacists... by Janet Cooper, Rachael Lewis, Christine Urquhart

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