A5109472842- Cloud Computing and Resource Management
- Suicide and Self-Harm Studies
- IoT and Edge/Fog Computing
- COVID-19 and Mental Health
- Software-Defined Networks and 5G
- Mental Health Treatment and Access
- Psychosomatic Disorders and Their Treatments
- Allergic Rhinitis and Sensitization
- Mental Health via Writing
- Attention Deficit Hyperactivity Disorder
- Family Caregiving in Mental Illness
- Neural Networks and Applications
- Corporate Finance and Governance
- Ferroptosis and cancer prognosis
- Healthcare professionals’ stress and burnout
- Cancer Genomics and Diagnostics
- Rough Sets and Fuzzy Logic
- Sentiment Analysis and Opinion Mining
- Child and Adolescent Psychosocial and Emotional Development
- Optimization and Packing Problems
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Religion, Spirituality, and Psychology
- Advanced Computational Techniques and Applications
- Optimism, Hope, and Well-being
- Diabetes Management and Education
Wuhan University
2020-2024
Renmin Hospital of Wuhan University
2020-2024
China Academy of Information and Communications Technology
2024
Xiangya Hospital Central South University
2024
Central South University
2024
Beijing University of Chinese Medicine
2021
Georgia Institute of Technology
2019
Background A low intention of professional help seeking hinders the effective treatment depression. The factors are from perspectives social, family, and individual; however, an understanding how they interact to predict help-seeking (PHSI) is not clear. Objectives objectives study was investigate PHSI toward depression in a Chinese community-dwelling population construct predictive model explore various involved. Methods Stratified random sampling Kish table methods were used identify 2,000...
Abstract Using quantitative analysis and qualitative in-depth interviews conducted in China 2022–2024, this study explores a new form of grievance expression dispute resolution adopted by the Chinese Communist Party (CCP): online petition. While digital technology can receive handle public complaints more efficiently, local officials under intense top-down pressure increased accountability often only address citizens’ demands performatively to satisfy political needs their superiors. The...
Non-suicidal self-injury (NSSI) is a significant social issue, especially among adolescents with major depressive disorder (MDD). This study aimed to construct risk prediction model using machine learning (ML) algorithms, such as XGBoost and random forest, identify interventions for healthcare professionals working MDD.
"Zou Fan" is currently the largest "tree hole" on Weibo, where people having suicidal ideation often express their thoughts and use this channel to seek support. Therefore, early suicide monitoring timely crisis intervention based artificial intelligence technology are needed for social media user group. This research was knowledge graph technology, whereby "Tree Hole Intelligent Agent" (i.e., Artificial Intelligence Program) used identify Fan Tree Hole" users at high risk suicide, then,...
Owing to the computational efficiency in dealing with combinatorial optimization problems, genetic algorithms (GAs) have been widely applied human resource planning and scheduling. Shift is of particular importance for personnel scheduling when practical concerns must be taken into account. Daily-wise shift formats are often introduced operations order facilitate execution planned tasks accommodate certain managerial convenience. However, highly repetitive nature running daily-wise entails...
Objective: This study aimed to investigate the current status of depression self-management (DSM), and identify influencing factors DSM among Chinese community residents. Methods: Stratified random sampling methodology was adopted in this cross-sectional survey. Respondents completed a collection self-administered questionnaires Results: The majority participants were female (72.2%), having mean age 39 years (SD = 17.3). total score on DSSM low (31.63 ± 4.69). Using multiple linear...
The coronavirus disease 2019 (COVID-19) pandemic poses a significant threat to mental health globally and may change the proportion of hospitalized patients.This report analyzed compared characteristics psychiatric inpatients one year before after Wuhan lifted lockdown during COVID-19. About 50% were diagnosed with bipolar disorder; females adolescents had higher prevalence disorders.More attention should be paid children, adolescents, females.
Computing resource measurement and computing routing are essential technologies in the first network (CFN), serving as its foundational elements. This paper introduces a Software Defined First Network (SD-CFN) architecture. Building upon this framework, Dynamic-Static Integrated Resource Measurement Mechanism (DCRMM) is proposed, incorporating methods such entropy weight method K-Means clustering. The DCRMM algorithm outperforms Maximum-closest Static Algorithm (MSA) Maximum Closest Dynamic...
The Computing First Network (CFN) is a novel network paradigm that efficiently allocates and schedules computing force, storage resources, capacity across cloud, edge, device domains. Leveraging the comprehensive perspective offered by Software-Defined Networking (SDN) precise assessment of distributed this paper introduces an architecture known as (SD-CFN). This forms basis for modeling resources designing new representation topology. Ultimately, proposed topology undergo analysis validation.
Objective: To explore the cause and feasibility of Artemisia ordosica allergic rhinitis. Methods: The main causes rhinitis patients in Chifeng City inner Mongolia were analyzed by a control method. Results: According to results, is most important Mongolia. In addition, history, asthma other diseases, or animal hair factors can also increase risk with Conclusions: sphaerocephala recent years, has attracted attention international organizations, medical community studied more methods for...