Chuang Yang
Biographic Data
| ID | 5471513 |
|---|---|
| NAME | Chuang Yang |
| GIVEN NAMES | Chuang |
| FAMILY NAME | Yang |
| SIGNATURE | YANG C |
| AFFILIATIONS | Guangzhou University |
| ORCID | 0009-0009-6333-8571 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Rewiring the knowledge field of artificial intelligence in education
Rethinking teacher education for sustainable development
Automatic Diagnosis of Depression Based on Facial Expression Information and Deep Convolutional Neural Network
Depression is a complex mental disease, which involves many factors such as psychology, physiology, and society, and which causes harm to society. Up to now, there are no valuable biomarkers for clinical diagnosis. This research constructed a dataset, which includes calm, sad, and happy facial expressions from both patients with depression and normal people, and classification and visualization of depression. The network includes a dual-scale con…
A cross-sectional survey of medical and other groups’ awareness, perceptions, and willingness to use e-cigarettes during the Covid-19 pandemic
Background In China, people’s perceptions towards electronic cigarettes during Corona Virus Disease 2019 (COVID-19) pandemic compared with pre-pandemic conditions have not been explored. Exploring the perceptions of medical workers regarding e-cigarettes is crucial, as they serve as a trusted source of information and providers of smoking cessation counselling for smokers. This cross-sectional study was designed to explore the awareness and perce…
Perceptions and preparedness toward tobacco cessation counseling amongst clinical medical students in Chongqing, Southwest China
Background Medical students play an indispensable role in providing smoking cessation counseling. Despite the rapid increase in tobacco use, there is little data on what Chinese medical students know or are taught about it. This study aims to investigate the relationship between medical students' tobacco education level, clinical experience, and tobacco cessation counseling (TCC) provided by medical students. Methods This cross-sectional study wa…
Disrupted Control-Related Functional Brain Networks in Drug-Naive Children with Attention-Deficit/Hyperactivity Disorder
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disease featuring executive control deficits as a prominent neuropsychological trait. Executive functions are implicated in multiple sub-networks of the brain; however, few studies examine these sub-networks as a whole in ADHD. By combining resting-state functional MRI and graph-based approaches, we systematically investigated functional connectivity patterns among fou…
No prominent works on this page.
Disrupted Control-Related Functional Brain Networks in Drug-Naive Children with Attention-Deficit/Hyperactivity Disorder
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disease featuring executive control deficits as a prominent neuropsychological trait. Executive functions are implicated in multiple sub-networks of the brain; however, few studies examine these sub-networks as a whole in ADHD. By combining resting-state functional MRI and graph-based approaches, we systematically investigated functional connectivity patterns among fou…
Perceptions and preparedness toward tobacco cessation counseling amongst clinical medical students in Chongqing, Southwest China
Background Medical students play an indispensable role in providing smoking cessation counseling. Despite the rapid increase in tobacco use, there is little data on what Chinese medical students know or are taught about it. This study aims to investigate the relationship between medical students' tobacco education level, clinical experience, and tobacco cessation counseling (TCC) provided by medical students. Methods This cross-sectional study wa…
Automatic Diagnosis of Depression Based on Facial Expression Information and Deep Convolutional Neural Network
Depression is a complex mental disease, which involves many factors such as psychology, physiology, and society, and which causes harm to society. Up to now, there are no valuable biomarkers for clinical diagnosis. This research constructed a dataset, which includes calm, sad, and happy facial expressions from both patients with depression and normal people, and classification and visualization of depression. The network includes a dual-scale con…
A cross-sectional survey of medical and other groups’ awareness, perceptions, and willingness to use e-cigarettes during the Covid-19 pandemic
Background In China, people’s perceptions towards electronic cigarettes during Corona Virus Disease 2019 (COVID-19) pandemic compared with pre-pandemic conditions have not been explored. Exploring the perceptions of medical workers regarding e-cigarettes is crucial, as they serve as a trusted source of information and providers of smoking cessation counselling for smokers. This cross-sectional study was designed to explore the awareness and perce…
Rewiring the knowledge field of artificial intelligence in education
Rethinking teacher education for sustainable development
Medicine (3 works) · Psychology (3 works) · Cross-sectional study (2 works) · Family medicine (2 works) · Likert scale (2 works) · Logistic regression (2 works) · Smoking Behavior and Cessation (2 works) · Smoking cessation (2 works) · Advanced Computing and Algorithms (1 work) · Agency (philosophy (1 work)