A5100405159- Rock Mechanics and Modeling
- Advanced Optical Sensing Technologies
- Music Therapy and Health
- Art Therapy and Mental Health
- Adversarial Robustness in Machine Learning
- Radioactivity and Radon Measurements
- Optical Systems and Laser Technology
- Health disparities and outcomes
- Geophysical Methods and Applications
- Wound Healing and Treatments
- Machine Learning in Healthcare
- Pharmacovigilance and Adverse Drug Reactions
- Patient Safety and Medication Errors
- Medical Education and Admissions
- Thermoregulation and physiological responses
- Temporomandibular Joint Disorders
- HIV, Drug Use, Sexual Risk
- Acute Ischemic Stroke Management
- Quality and Safety in Healthcare
- Urban Green Space and Health
- Sports Performance and Training
- Healthcare professionals’ stress and burnout
- Traditional Chinese Medicine Studies
- Health, psychology, and well-being
- Employment and Welfare Studies
Chinese Academy of Medical Sciences & Peking Union Medical College
2025
Xiyuan Hospital
2025
Shandong University
2022-2024
Guangzhou Medical University
2024
National University of Singapore
2024
First Affiliated Hospital of Guangzhou Medical University
2024
Johns Hopkins University
2024
University of Glasgow
2023
Zhejiang University
2023
Stomatology Hospital
2023
Deep learning applications become increasingly popular in important domains such as self-driving systems and facial identity systems. Defective deep may lead to catastrophic consequences. Although recent research efforts were made on testing debugging applications, the characteristics of defects have never been studied. To fill this gap, we studied built top TensorFlow collected program bugs related from StackOverflow QA pages Github projects. We extracted information pages, commit messages,...
Abstract The devastating impact of youth mental health concerns is increasingly evident on a global scale. This crisis calls for innovative solutions that are sufficiently accessible, scalable, and cost-effective to support diverse communities around the world. One such solution involves engagement in arts: incorporating building upon existing local resources cultural practices bolster health. In this article, we describe note major gaps knowledge needed address it. We then discuss potential...
Objective. We compared the use of two active cooling devices with passive in a moderate-temperature (≈22°C) environment on heart rate (HR) and core temperature (Tc) recovery when applied to firefighters following 20 minutes fire suppression. Methods. Firefighters (23 men, women) performed suppression at live-fire evolution. Immediately evolution, subjects removed their thermal protective clothing were randomized receive forearm immersion (FI), ice water perfused vest (CV), or (P) an...
Introduction The integration of traditional Chinese medicine (TCM) and Western has demonstrated effectiveness in the primary prevention stroke. Therefore, our study aims to utilize TCM syndromes alongside conventional risk factors as predictive variables construct a machine learning model for assessing new-onset Methods We conducted ten-year follow-up encompassing 4,511 participants from multiple community hospitals. dependent variable was occurrence stroke, while independent included age,...
University students often face mental health challenges, exacerbated by stigmas that hinder seeking support and treatment. We introduce a participatory arts programme, Movin' Groovin' for Wellness (MGW), features facilitated drumming dancing sessions. This study aimed to investigate the impact of MGW programme on students' health, social connections, creativity. A 10-week pilot parallel Randomised Controlled Trial (RCT) was conducted with 76 participants randomly assigned into an...
Introduction While the association between personality traits and insomnia has been confirmed, longitudinal relationship them remains unclear. Methods This is a 4-year cohort study conducted among rural community residents ( N = 482) in Shandong Province, China. Results found that neuroticism β 0.175, p < 0.001), extraversion −0.146, conscientiousness −0.168, 0.001) at baseline had statistically significant associations with follow-up. In addition, correlations 0.142, 0.01), −0.209,...
(1) Background: The heavy workload and understaffed personnel of village doctors is a challenge to the rural healthcare system in China. Previous studies have documented predictors doctors’ burnout; however, little attention has been paid doctors. This study aims investigate prevalence influential factors burnout among (2) Methods: Data was collected by self-administered questionnaire from 1248 who had worked at clinics for more than year. Burnout measured using Maslach Inventory-Human...
Introduction Due to the inefficiency and high cost of current healthcare supply chain mode, in order adapt great changes global economy public health, it is urgent choose an effective mode for sustainable development chain. The aim this paper use artificial intelligence systems make intelligent decisions selection. Methods Firstly, according economic benefits, social benefits environmental chain, identifies different modes combination with technology. Secondly, presents choice optimization...
Background The increasing prevalence of fungal infections necessitates broader use antifungal medications. However, the adverse drug events (ADEs) restricts their clinical application. This study aimed to develop a reliable ADEs trigger for antifungals enable proactive monitoring, serving as reference prevention and control. Methods investigation comprises two phases. Initially, was established via literature review, extraction relevant items, refinement through Delphi expert consultation....
Abstract Background HIV prevention, diagnosis, treatment and care services might be hampered by inaccurate risk assessment. This study aimed to investigate the extent of factors associated with discordance between perceived actual risky sexual behaviors among undergraduates in mainland China, guided Anderson's behavioral model. Methods involved a secondary analysis cross-sectional data collected during fall semester 2018–2019 academic year. The present was restricted 8808 low perception....
Objectives: This study examined the joint trajectories of behavioral risk factors (smoking, alcohol drinking, and body mass index) their associations with cognitive function among older African Americans white Americans. Methods: Data from Health Retirement Study (1998–2014) were used. Group-based mixture modeling multinomial logistic regression analysis performed. Results: Three (overweight, smoking drinking overweight) three (low, moderate, high) identified. A significantly higher...
<title>Abstract</title> Background: University students often face mental health challenges, exacerbated by stigmas that hinder seeking support and treatment. We introduce a participatory arts programme, Movin' Groovin' for Wellness (MGW), features facilitated drumming dancing sessions. This study aimed to investigate the impact of MGW programme on students' health, social connections, creativity. Methods: A 10-week pilot parallel Randomised Controlled Trial (RCT) was conducted with 76...
Obesity is one of the most glaringly obvious, yet neglected, public health problems world facing today. Individuals' self-perception being overweight essential to engaging in weight control behavior. This first exploratory study Chongqing assess mediating effect perceived obesity close relatives on and behavior among adults. A cross-sectional study, including 3,7492 participants, was conducted a healthcare center Chongqing, China. For Kruskal–Wallis test analyses, logistic regression...
This paper presents a deep learning-based wound classification tool that can assist medical personnel in non-wound care specialization to classify five key conditions, namely wound, infected arterial venous and pressure given color images captured using readily available cameras. The accuracy of the is vital for appropriate management. proposed method adopts multi-task learning framework leverages relationships among conditions unified architecture. With differences Cohen's kappa...
Abstract Housing quality is an essential contributor to human well-being, security and health. Monitoring the housing crucial for unveiling socio-economic development status providing political proposals. However, it exceedingly scarce depict nationwide in large-scale fine-granularity remote rural areas owing high cost of canonical survey methods. Taking China as example, we collect massive house images assessment by various volunteers further build up a deep learning model based on assessed...
Abstract Geological media are widely distributed in nature. Lab-scale tests frequently employed radon studies for these media. Thus, it is critical to find the thickness of medium at an experimental scale that equivalent a real geological system. Based on diffusion–advection transport radon, theoretical models surface exhalation rate homogeneous semi-infinite and finite-thickness systems were derived (denoted as J se fi , respectively). Analysis equivalency was subsequently carried out by...