Xuelin Wang
Biographic Data
| ID | 5889934 |
|---|---|
| NAME | Xuelin Wang |
| GIVEN NAMES | Xuelin |
| FAMILY NAME | Wang |
| SIGNATURE | WANG X |
| AFFILIATIONS | North China University of Science and Technology |
| ORCID | 0000-0001-5750-6035 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Lawe-Cl2
Temporal patterns and socioeconomic controls of PM2.5 across global cities
Risk Prediction for the Development of Hyperuricemia
The prediction effect of the XG Boost model was better than the CNN and Logistic regression models and was suitable for the prediction of HUA onset risk in steelworkers
Development and Internal Validation of Risk Assessment Models for Chronic Obstructive Pulmonary Disease in Coal Workers
Coal workers are more likely to develop chronic obstructive pulmonary disease due to exposure to occupational hazards such as dust. In this study, a risk scoring system is constructed according to the optimal model to provide feasible suggestions for the prevention of chronic obstructive pulmonary disease in coal workers. Using 3955 coal workers who participated in occupational health check-ups at Gequan mine and Dongpang mine of Hebei Jizhong En…
A nested case-control study of the effects of dust exposure, smoking on COPD in coal workers
Dust exposure and smoking were unequivocally identified as precipitating risk factors for COPD incidence within the population of coal workers, albeit devoid of any discernible interaction between these two causal agents
To predict L2 writing quality using lexical richness indices
A Predictive Model for Abnormal Bone Density in Male Underground Coal Mine Workers
The dark and humid environment of underground coal mines had a detrimental effect on workers' skeletal health. Optimal risk prediction models can protect the skeletal health of coal miners by identifying those at risk of abnormal bone density as early as possible. A total of 3695 male underground workers who attended occupational health physical examination in a coal mine in Hebei, China, from July to August 2018 were included in this study. The …
Influence of occupational exposure on hyperuricemia in steelworkers
Shift work, heat, and dust are independent risk factors for the development of hyperuricemia in steelworkers. Additionally, there is a multiplicative interaction between heat exposure and dust exposure in the development of hyperuricemia. Interventions for shift work, heat and dust may help to reduce the incidence rate of hyperuricemia and improve the health of steelworkers
Total flavonoids of Oxytropis falcata Bunge have a positive effect on idiopathic pulmonary fibrosis by inhibiting the TGF-β1/Smad signaling pathway
Typological characteristics of interlanguage
Typological characteristics of interlanguage
A Predictive Model for Abnormal Bone Density in Male Underground Coal Mine Workers
The dark and humid environment of underground coal mines had a detrimental effect on workers' skeletal health. Optimal risk prediction models can protect the skeletal health of coal miners by identifying those at risk of abnormal bone density as early as possible. A total of 3695 male underground workers who attended occupational health physical examination in a coal mine in Hebei, China, from July to August 2018 were included in this study. The …
Influence of occupational exposure on hyperuricemia in steelworkers
Shift work, heat, and dust are independent risk factors for the development of hyperuricemia in steelworkers. Additionally, there is a multiplicative interaction between heat exposure and dust exposure in the development of hyperuricemia. Interventions for shift work, heat and dust may help to reduce the incidence rate of hyperuricemia and improve the health of steelworkers
Total flavonoids of Oxytropis falcata Bunge have a positive effect on idiopathic pulmonary fibrosis by inhibiting the TGF-β1/Smad signaling pathway
Risk Prediction for the Development of Hyperuricemia
The prediction effect of the XG Boost model was better than the CNN and Logistic regression models and was suitable for the prediction of HUA onset risk in steelworkers
Development and Internal Validation of Risk Assessment Models for Chronic Obstructive Pulmonary Disease in Coal Workers
Coal workers are more likely to develop chronic obstructive pulmonary disease due to exposure to occupational hazards such as dust. In this study, a risk scoring system is constructed according to the optimal model to provide feasible suggestions for the prevention of chronic obstructive pulmonary disease in coal workers. Using 3955 coal workers who participated in occupational health check-ups at Gequan mine and Dongpang mine of Hebei Jizhong En…
A nested case-control study of the effects of dust exposure, smoking on COPD in coal workers
Dust exposure and smoking were unequivocally identified as precipitating risk factors for COPD incidence within the population of coal workers, albeit devoid of any discernible interaction between these two causal agents
To predict L2 writing quality using lexical richness indices
Temporal patterns and socioeconomic controls of PM2.5 across global cities
Lawe-Cl2
Medicine (6 works) · Internal Medicine (4 works) · Logistic regression (4 works) · Artificial Intelligence (3 works) · Brier score (3 works) · Coal (3 works) · Computer Science (3 works) · Environmental health (3 works) · Mathematics (3 works) · Natural Language Processing Techniques (3 works)