Exploring Virtual Reality and Exercise Simulator Interventions in Patients With Attention Deficit Hyperactivity Disorder: Comprehensive Literature Review by Gurdeep Sarai, Prem Prakash Jayaraman, Oren Tirosh, Nilmini Wickramasinghe

“…It evaluates the capacity of these interventions to address specific challenges along with an emphasis on the adjustments for accommodating unique user behaviors. Additionally, it underscores the limited exploration of user perceptions of exercise simulator–based interventions and the undervalued role of motor function in both ADHD assessment and symptom management. …”
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Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

“…This study examined the preliminary accuracy of machine learning models trained on iPad sensor data to identify the unique user of the device in a sample of children ages 6 to 11. …”
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Recurrent Patterns of User Behavior in Different Electoral Campaigns: A Twitter Analysis of the Spanish General Elections of 2015 and 2016 by S. Martin-Gutierrez, J. C. Losada, R. M. Benito

“…Additionally, we have revealed that the daily number of tweets, retweets, and mentions follow a power law with respect to the number of unique users that take part in the conversation. Furthermore, we have verified that the topologies of the networks of mentions and retweets do not change from one election to the other, indicating that their underlying dynamics are robust in the face of a change in social context. …”
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Organ Donation Conversations on X and Development of the OrgReach Social Media Marketing Strategy: Social Network Analysis by Wasim Ahmed, Mariann Hardey, Josep Vidal-Alaball

“…The study was able to retrieve a dataset with 20,124 unique users and 33,830 posts. The posts were analyzed using social network analysis and qualitative thematic analysis. …”
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Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI by Ryuichi Saito, Sho Tsugawa

“…A total of 47,111 unique users authored these posts. In addition, for privacy considerations, any identifiable information, such as author IDs and usernames, was excluded, retaining only the text for analysis. …”
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