Huadong Zhang
Datos Biográficos
| ID | 7307470 |
|---|---|
| NOMBRE | Huadong Zhang |
| NOMBRES | Huadong |
| APELLIDO | Zhang |
| FIRMA | ZHANG H |
| AFILIACIONES | Jiangsu Provincial Center for Disease Control and Prevention |
| ORCID | 0000-0002-5488-5102 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
LLM-ResiGame
Resilience training for critical infrastructure decision-making is essential for preparing against both cybersecurity threats and natural disasters. Traditional training methods often lack flexibility in scenario customization, limiting their effectiveness in simulating complex crisis environments. Recent advancements in agentic AI have shown that it can solve complex problems that require multiple steps. In this work, we present LLM-ResiGame, a …
Anti-inflammatory effects of Rehmannia glutinosa polysaccharide on LPS-induced acute liver injury in mice and related underlying mechanisms
City-level meteorological conditions modify the relationships between exposure to multiple air pollutants and the risk of pediatric hand, foot, and mouth disease in the Sichuan Basin, China
Background Several studies have examined the effects of city-level meteorological conditions on the associations between meteorological factors and hand, foot, and mouth disease (HFMD) risk. However, evidence that city-level meteorological conditions modify air pollutant-HFMD associations is lacking. Methods For each of the 17 cities in the Sichuan Basin, we obtained estimates of the relationship between exposures to multiple air pollutants and c…
Prevalence status and associated factors of wrist postural injury in the Chinese occupational population
Objective: This study investigated the prevalence of wrist injuries in 15 industries and different types of work in China. Study on the associated factors of wrist injuries provides a scientific basis for prevention and treatment of wrist diseases in occupational workers. Methods: A cross-sectional study of musculoskeletal symptoms of related practitioners in 15 industries, including automobile manufacturing, was conducted to retrieve worker demo…
A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry
To identify the influencing factors and develop a predictive model for the risk of abnormal liver function in the automotive manufacturing industry works in Chongqing. Automotive manufacturing workers in Chongqing city surveyed during 2019-2021 were used as the study subjects. Logistic regression analysis was used to identify the influencing factors of abnormal liver function. A restricted cubic spline model was used to further explore the influe…
Workers’ Occupational Dust Exposure and Pulmonary Function Assessment
Workers exposed to occupational dust have a high rate of abnormal lung function. The government, enterprises, and individuals should pay attention to occupational dust exposure, and various effective measures should be actively taken to protect the life and health of workers
Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
LBP incidence among key industries and workers in China is high. Thus, it is urgent to take relevant measures according to the individual, occupational, and psychosocial factors of LBP to reduce the adverse impact of LBP on workers' health
Balanced Convolutional Neural Networks for Pneumoconiosis Detection
Pneumoconiosis remains one of the most common and harmful occupational diseases in China, leading to huge economic losses to society with its high prevalence and costly treatment. Diagnosis of pneumoconiosis still strongly depends on the experience of radiologists, which affects rapid detection on large populations. Recent research focuses on computer-aided detection based on machine learning. These have achieved high accuracy, among which artifi…
Sin obras prominentes en esta página.
Balanced Convolutional Neural Networks for Pneumoconiosis Detection
Pneumoconiosis remains one of the most common and harmful occupational diseases in China, leading to huge economic losses to society with its high prevalence and costly treatment. Diagnosis of pneumoconiosis still strongly depends on the experience of radiologists, which affects rapid detection on large populations. Recent research focuses on computer-aided detection based on machine learning. These have achieved high accuracy, among which artifi…
Prevalence status and associated factors of wrist postural injury in the Chinese occupational population
Objective: This study investigated the prevalence of wrist injuries in 15 industries and different types of work in China. Study on the associated factors of wrist injuries provides a scientific basis for prevention and treatment of wrist diseases in occupational workers. Methods: A cross-sectional study of musculoskeletal symptoms of related practitioners in 15 industries, including automobile manufacturing, was conducted to retrieve worker demo…
A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry
To identify the influencing factors and develop a predictive model for the risk of abnormal liver function in the automotive manufacturing industry works in Chongqing. Automotive manufacturing workers in Chongqing city surveyed during 2019-2021 were used as the study subjects. Logistic regression analysis was used to identify the influencing factors of abnormal liver function. A restricted cubic spline model was used to further explore the influe…
Workers’ Occupational Dust Exposure and Pulmonary Function Assessment
Workers exposed to occupational dust have a high rate of abnormal lung function. The government, enterprises, and individuals should pay attention to occupational dust exposure, and various effective measures should be actively taken to protect the life and health of workers
Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
LBP incidence among key industries and workers in China is high. Thus, it is urgent to take relevant measures according to the individual, occupational, and psychosocial factors of LBP to reduce the adverse impact of LBP on workers' health
City-level meteorological conditions modify the relationships between exposure to multiple air pollutants and the risk of pediatric hand, foot, and mouth disease in the Sichuan Basin, China
Background Several studies have examined the effects of city-level meteorological conditions on the associations between meteorological factors and hand, foot, and mouth disease (HFMD) risk. However, evidence that city-level meteorological conditions modify air pollutant-HFMD associations is lacking. Methods For each of the 17 cities in the Sichuan Basin, we obtained estimates of the relationship between exposures to multiple air pollutants and c…
Anti-inflammatory effects of Rehmannia glutinosa polysaccharide on LPS-induced acute liver injury in mice and related underlying mechanisms
LLM-ResiGame
Resilience training for critical infrastructure decision-making is essential for preparing against both cybersecurity threats and natural disasters. Traditional training methods often lack flexibility in scenario customization, limiting their effectiveness in simulating complex crisis environments. Recent advancements in agentic AI have shown that it can solve complex problems that require multiple steps. In this work, we present LLM-ResiGame, a …
Medicine (7 obras) · Pathology (5 obras) · Environmental health (4 obras) · Internal Medicine (3 obras) · Logistic regression (3 obras) · Biology (2 obras) · China (2 obras) · Geography (2 obras) · Musculoskeletal pain and rehabilitation (2 obras) · Occupational Health and Safety Research (2 obras)