Qingling Su
Biographic Data
| ID | 7771235 |
|---|---|
| NAME | Qingling Su |
| GIVEN NAMES | Qingling |
| FAMILY NAME | Su |
| SIGNATURE | SU Q |
| AFFILIATIONS | Fujian Medical University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workers
Temperature discomfort significantly undermined labor productivity in the petrochemical sector, and this impact may worsen in a warming climate if adaptation and prevention measures are insufficient. To effectively reduce heat-related productivity loss, there is a need to strengthen occupational health training and implement strict controls for occupational hazards, minimizing the potential combined effects of heat with other exposures
No prominent works on this page.
The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workers
Temperature discomfort significantly undermined labor productivity in the petrochemical sector, and this impact may worsen in a warming climate if adaptation and prevention measures are insufficient. To effectively reduce heat-related productivity loss, there is a need to strengthen occupational health training and implement strict controls for occupational hazards, minimizing the potential combined effects of heat with other exposures
Air Quality and Health Impacts (1 work) · Biostatistics (1 work) · Climate Change and Health Impacts (1 work) · Economic growth (1 work) · Economics (1 work) · Engineering (1 work) · Environmental health (1 work) · Medicine (1 work) · Nursing (1 work) · Petrochemical (1 work)