Longitudinal analysis of coal workers’ pneumoconiosis using enhanced resolution-computed tomography images: unveiling patterns in lung structure, function, and clinical correlation... by Ngan-Khanh Chau, Ngan-Khanh Chau, Eun-Kee Park, Sanghun Choi

“…Inspiratory qCT images were enhanced using a deep learning-based super-resolution model and then processed to extract lung functional and airway structural metrics. …”
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Digitalised measures for the prevention of central line-associated bloodstream infections: a scoping review by Basilice Minka Obama, Rebecca Grant, Stephan Harbarth, Niccolò Buetti, Gaud Catho

“…Abstract Background Central line-associated bloodstream infections (CLABSI) increase morbidity, mortality, and healthcare costs of hospitalised patients, despite being largely preventable. While evidence-based guidelines for preventing CLABSI are well-established, the implementation of these measures remain suboptimal. …”
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The Effectiveness of Trauma-Aware Parenting Intervention on Relationship between Attachment and Emotional Disturbance in Adoptive Families by Mehrana Mehrana, Mansoureh Bahramipour Isfahani

“…IntroductionFamily is the most important determining factor of children's behavior and plays a very important role in explaining their social position. Children learn the right and wrong of something in the family, and the family plays a significant role in the formation of their behavior. …”
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Evaluating the Effectiveness of a Roblox Video Game (Super U Story) in Improving Body Image Among Children and Adolescents in the United States: Randomized Controlled Trial by Nicole Paraskeva, Sharon Haywood, Jason Anquandah, Paul White, Mahira Budhraja, Phillippa C Diedrichs, Heidi Williamson

“…As such, we developed Super U Story, a stand-alone, self-paced, narrative-based adventure video game for the popular gaming platform Roblox grounded in the Tripartite Influence Model of body dissatisfaction and basic tenets of positive body image. …”
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Epilepsy is associated with the accelerated aging of brain activity in sleep by Peter N. Hadar, Mike Westmeijer, Mike Westmeijer, Haoqi Sun, Erik-Jan Meulenbrugge, Jin Jing, Luis Paixao, Ryan A. Tesh, Madalena Da Silva Cardoso, Pierrick Arnal, Rhoda Au, Chol Shin, Chol Shin, Soriul Kim, Robert J. Thomas, Sydney S. Cash, M. Brandon Westover

“…The BAI is a machine learning-based biomarker that measures how much the brain activity of a person during overnight sleep deviates from chronological age-based norms.MethodsThis case–control study drew information of age-matched controls without epilepsy from home sleep monitoring volunteers and from non-epilepsy patients with Sleep Lab testing. …”
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Multi-Planar Cervical Motion Dataset: IMU Measurements and Goniometer by Lee Keidan, Rawan Ibrahim, Evyatar Ohayon, Chaim G. Pick, Ella Been

“…The dataset herein serves as a benchmark for state-of-the-art machine learning models predicting head/neck position, analyzing smoothness of movements, measuring standard motion patterns, and calibrating drift based on movement comparisons.…”
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Co-Designing a User-Centered Digital Health Tool for Supportive Care Needs of Patients With Brain Tumors and Their Caregivers: Interview Analysis by Mahima Kalla, Ashleigh Bradford, Verena Schadewaldt, Kara Burns, Sarah C E Bray, Sarah Cain, Heidi McAlpine, Rana S Dhillon, Wendy Chapman, James R Whittle, Katharine J Drummond, Meinir Krishnasamy

“…Our findings are consistent with previous research on this subject and were integrated into the development of a web-based platform. ConclusionsParticipants’ perspectives informed the development of content for a web-based digital health platform called “Brain Tumours Online.” …”
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Virtual Reality for the Prevention and Cessation of Nicotine Vaping in Youths: Protocol for a Randomized Controlled Trial by Belinda Borrelli, Daniel Weinstein, Romano Endrighi, Nikki Ling, Kathleen Koval, Lisa M Quintiliani, Kaitlyn Konieczny

“…A mobile app connects to the VR game, providing a home-based experience to reinforce skills learned. VR and control classes complete baseline and postintervention surveys on the same schedule. …”
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Alterations of gray matter volume and functional connectivity in patients with cognitive impairment induced by occupational aluminum exposure: a case-control study by Huaxing Meng, Bo Liu, Xiaoting Lu, Yan Tan, Shanshan Wang, Baolong Pan, Hui Zhang, Qiao Niu

“…Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and an auditory-verbal learning test (AVLT). All participants underwent magnetic resonance imaging scans. 3D T1-weighted anatomical images and resting-state functional magnetic resonance imaging data were acquired, and voxel-based morphometry and ROI-based FC were used for analysis. …”
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A LSTM-RNN-Assisted Vector Tracking Loop for Signal Outage Bridging by Di Liu, Qingyuan Xia, Changhui Jiang, Chaochen Wang, Yuming Bo

“…A simulation was designed and conducted based on an open-source Matlab GNSS software receiver; a dynamic trajectory with several temporary signal outages was designed for testing the proposed method. …”
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Impact of genetic counseling and testing in individuals at high risk of familial Alzheimer's disease from Latin America: a non‐randomized controlled trial by Pablo M. Bagnati, Marisol Londoño Castaño, María Laura Fernández, Beatriz Mora Henao, Patricio Chrem, David Aguillón, Luz Estela Varela, Juan Diego Barbaran, Yudy Leon, Ezequiel Surace, Claudia C. Madrigal, Juan Pablo Picasso, Claudia P. Ramos, Carlos M. Restrepo Fernández, Gabriela Vigo, Laura Ramirez Aguilar, Gabriel Alberto VargasCuadros, Mauricio Arcos‐Burgos, Erika Mariana Longoria, Ellen Ziegemeier, Eric McDade, Randall J. Bateman, Ricardo F. Allegri, Francisco Lopera, Jorge J. Llibre‐Guerra

“…Participants were categorized based on their decision to learn their genetic status (GS), with further comparisons between mutation‐positive versus mutation‐negative participants who learned their status. …”
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Spatial differences, dynamic evolution and influencing factors of the coupling and coordination relationship between health resources allocation and health service utilization in C... by Xiaomin Xu, Zilin Han, Qing Liang, Mengmeng Hu, Qiaoli Chen, Wenli Fang, Zhangman Ma, Sixian Zhou, Zhicheng Liu, Xiangyang Gong

“…This study aims to assess the spatiotemporal evolution and influencing factors of the coupling coordination between health resource allocation (HRA) and health service utilization (HSU) in China, contributing to the realization of the "Healthy China" strategy. Methods Based on the panel data from 2010 to 2022, The entropy method is employed to measure the comprehensive development index of HRA and HSU. …”
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AppAuth: Authorship Attribution for Android App Clones by Guoai Xu, Chengpeng Zhang, Bowen Sun, Xinyu Yang, Yanhui Guo, Chengze Li, Haoyu Wang

“…In this paper, we propose AppAuth, a novel learning-based approach to predict the authorship of app clones. …”
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An improved traffic lights recognition algorithm for autonomous driving in complex scenarios by Ziyue Li, Qinghua Zeng, Yuchao Liu, Jianye Liu, Lin Li

“…This article proposed an improved vision-based traffic lights recognition algorithm for autonomous driving, integrating deep learning and multi-sensor data fusion assist (MSDA). …”
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The complexity of addressing equity in COVID-19-related global health governance and population health research priorities in Canada: a multilevel qualitative study by Muriel Mac-Seing, Erica Di Ruggiero

“…Third, contrary to common beliefs about COVID-19, the consequences were not all negative, but they were also positive and unintended, and lessons can be learned. …”
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Pediatric providers’ views on participating in an HPV Vaccine Quality Improvement Intervention: a qualitative analysis by Edan Leshem, Sara Malone, Andrew Solsrud, Sherry Dodd, Shannon Rook, Sharon Graham, Lauren Ericson, Ruoyun Wang, Katie Plax, Jason Newland

“…Conclusion PCPs viewed the facilitation HPV intervention positively. Areas that would improve the intervention include addressing the timing and duration of facilitation sessions, communication strategies, and logistical support (e.g., evidence-based resources for patient education, technological support for data analysis).…”
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What matters most? Identifying key resource gain and loss factors affecting nurses’ work engagement and job burnout in digital healthcare contexts by Jianing Guo, Zhenduo Zhang, Huan Xiao, Xiaoqian Zu, Kun Zhou, Ruoyi Qu

“…Descriptive statistics and one-way ANOVA were employed to identify control variables based on demographic and work-related information. …”
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Implementing buprenorphine for opioid use disorder in veterans health administration primary care: a qualitative analysis by Aline Lott, Anissa N. Danner, Carol A. Malte, Hope A. Salameh, Diana Bachowski, Adam J. Gordon, Hildi J. Hagedorn, Madeline C. Frost, Emily C. Williams, Andrew J. Saxon, Ryan S. Trim, Eric J. Hawkins

“…Namely, clinicians reported positive attitudes about and experiences delivering opioid use disorder care and a willingness to learn/do something new. …”
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Resilient performance in healthcare during the COVID-19 pandemic (ResCOV): study protocol for a multilevel grounded theory study on adaptations, working conditions, ethics and pati... by Mirjam Ekstedt, Camilla Göras, Malin Lohela-Karlsson, Lena Nordgren, Ann-Sofie Källberg, Markus Castegren, Petronella Bjurling‐Sjöberg, Emelie Condén Mellgren, Mats Holmberg

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Normal-Weight Abdominal Obesity: A Risk Factor for Hypertension and Cardiometabolic Dysregulation by Jinyu Sun, Qiang Qu, Yue Yuan, Guozhen Sun, Xiangqing Kong, Wei Sun, Tianyu Xu, Xiaoxia Fu

“…Thereafter, we used the random forest supervised machine learning method, together with least absolute shrinkage and selection operator regression, to select hypertension-related features and created a predictive model based on regression analysis to identify hypertension in normal-weight individuals. …”
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