Junbin Liao
Biographic Data
| ID | 9998137 |
|---|---|
| NAME | Junbin Liao |
| GIVEN NAMES | Junbin |
| FAMILY NAME | Liao |
| SIGNATURE | LIAO J |
| AFFILIATIONS | Shenzhen Center for Disease Control and Prevention |
| ORCID | 0000-0001-9728-7068 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Dietary inflammatory index and disability among older adults in Guangzhou
Objective: This study aims to evaluate factors linked to the degree of disability among older adults and explore the relationship between the dietary inflammatory index (DII) and the degree of disability among older adults in southern China. Methods: Conducted in two districts of Guangzhou, China, this cross-sectional study included 262 older adults with mild-to-severe disabilities. Disability levels were assessed using the "Assessment Standard f…
Analysis of factors influencing the burden on family caregivers of disabled older adults in Guangzhou
Objective This study aims to investigate the current status of disability among older adults and analyze factors influencing the burden on their family caregivers in southern China. Methods A cross-sectional survey was conducted among 334 pairs of disabled older adults (≥65 years) and their primary family caregivers across three districts in Guangzhou. Face-to-face interviews using standardized questionnaires assessed disability levels via the “L…
FMDNet
Driving behavior classification is a critical component of social transportation systems and advanced driver assistance systems, and it has gained increasing attention in recent years. Accurate classification algorithms for driving behavior play a significant role in enhancing traffic safety, energy conservation, and related fields. In this article, we propose a novel driving behavior classification network named feature-attention-embedding-based…
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FMDNet
Driving behavior classification is a critical component of social transportation systems and advanced driver assistance systems, and it has gained increasing attention in recent years. Accurate classification algorithms for driving behavior play a significant role in enhancing traffic safety, energy conservation, and related fields. In this article, we propose a novel driving behavior classification network named feature-attention-embedding-based…
Dietary inflammatory index and disability among older adults in Guangzhou
Objective: This study aims to evaluate factors linked to the degree of disability among older adults and explore the relationship between the dietary inflammatory index (DII) and the degree of disability among older adults in southern China. Methods: Conducted in two districts of Guangzhou, China, this cross-sectional study included 262 older adults with mild-to-severe disabilities. Disability levels were assessed using the "Assessment Standard f…
Analysis of factors influencing the burden on family caregivers of disabled older adults in Guangzhou
Objective This study aims to investigate the current status of disability among older adults and analyze factors influencing the burden on their family caregivers in southern China. Methods A cross-sectional survey was conducted among 334 pairs of disabled older adults (≥65 years) and their primary family caregivers across three districts in Guangzhou. Face-to-face interviews using standardized questionnaires assessed disability levels via the “L…
Environmental health (2 works) · Gerontology (2 works) · Medicine (2 works) · Artificial Intelligence (1 work) · Autonomous Vehicle Technology and Safety (1 work) · Computer Science (1 work) · Confidence interval (1 work) · Confounding (1 work) · Cross-sectional study (1 work) · Dementia (1 work)