A5100368198- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Air Quality Monitoring and Forecasting
- High-Energy Particle Collisions Research
- Global Health Care Issues
- Vehicle emissions and performance
- Noise Effects and Management
- Atmospheric chemistry and aerosols
- Energy and Environment Impacts
- Health, Environment, Cognitive Aging
- Toxic Organic Pollutants Impact
- Wind and Air Flow Studies
- Educational Reforms and Innovations
- Nutrition, Genetics, and Disease
- Tuberculosis Research and Epidemiology
- Mycobacterium research and diagnosis
- Ideological and Political Education
- Environmental Education and Sustainability
- Glutathione Transferases and Polymorphisms
- Allergic Rhinitis and Sensitization
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Impact of Light on Environment and Health
- Blood disorders and treatments
Chinese Center For Disease Control and Prevention
2013-2024
Ping An (China)
2024
Tianjin Medical University General Hospital
2024
Tianjin Medical University
2024
Peking University
2024
Harvard University
2024
Shenzhen Technology University
2024
Shandong Provincial Hospital
2023
Shandong First Medical University
2023
Army Medical University
2022
Large Language Models (LLMs) as chatbots have drawn remarkable attention thanks to their versatile capability in natural language processing well a wide range of tasks. While there has been great enthusiasm towards adopting such foundational model-based artificial intelligence tools all sectors possible, the capabilities and limitations LLMs improving operation electric energy sector need be explored, this article identifies fruitful directions regard. Key future research include data...
Abstract Few studies have compared different methods when exploring the short-term effects of air pollutants on respiratory disease mortality in Wuhan, China. This study assesses association between and with both time-series time-stratified–case-crossover designs. The generalized additive model (GAM) conditional logistic regression were used to assess mortality. Stratified analyses performed by age, sex, diseases. A 10 μg/m 3 increment SO 2 level was associated an increase relative risk for...
In order to identify the sources of indoor PM2.5 and check which factors influence concentration chemical elements, concentrations its related elements in residential houses Beijing were explored. Indoor outdoor samples that monitored continuously for one week collected. 15 (Al, As, Ca, Cd, Cu, Fe, K, Mg, Mn, Na, Pb, Se, Tl, V, Zn) calculated compared. The median was 57.64 μg/m3. For PM2.5, Cd As may be sensitive smoking, Zn, Ca Al other than V Se mainly come from outdoor. Five extracted by...
Abstract Aim The rising prevalence of periodontitis imposes substantial burdens on individuals and society. Identifying environmental risk factors for may contribute to tackling the global public health burden it. This study aimed assess association between long‐term exposure PM 2.5 in a nationally representative population from China. Materials Methods In this multi‐centre cross‐sectional 372 communities 31 provinces Mainland China, we used data Fourth National Oral Health Survey China...
The objective of this study was to estimate the residential infiltration factor (Finf) fine particulate matter (PM2.5) and develop models predict PM2.5 Finf in Beijing. Eighty-eight paired indoor–outdoor samples were collected by Teflon filters for seven consecutive days during both non-heating heating seasons (from a total 55 families between August, 2013 February, 2014). mass concentrations measured gravimetric method, elemental sulfur filter deposits determined energy-dispersive x-ray...
Few studies have been carried out to systematically screen regional temperature-sensitive diseases. This study was aimed at and comprehensively screening both high- low-temperature-sensitive diseases by using mortality data from 17 sites in China located temperate subtropical climate zones. The distributed lag nonlinear model (DLNM) applied quantify the association between extreme temperature 18 kinds of eight disease systems. attributable fractions (AFs) sensitive were calculated assess...
Abstract Background Ambient air pollutants can be hazardous to human health, especially for vulnerable children. The impact of ambient pollutant exposure before and during intensive care unit (ICU) stays on the development ventilator-associated pneumonia (VAP) in critically ill children has not been established. We aimed determine correlations between short-term exposures fine particulate matter (PM 2.5 ) VAP pediatric cardiac surgery patients ICU, explore effect delayed exposure. Methods...
The primary aim of this study is to explore the utility machine learning algorithms for predicting personal PM2.5 exposures elderly participants and evaluate effect individual variables on model performance. Personal was measured five consecutive days across seasons in 66 retired adults Beijing (BJ) Nanjing (NJ), China. potential predictors were extracted from routine monitoring data (ambient concentrations meteorological factors), basic questionnaires (personal household characteristics),...
Evidence of the impact ambient temperatures on emergency ambulance calls (EACs) in developing countries contributes to improvement and complete understanding acute health effects temperatures. This study aimed examine impacts burden heat EACs China, quantify contributions regional modifiers, identify vulnerable populations. A semi-parametric generalized additive model with a Poisson distribution was used analyze city-specific daily maximum temperature (Tmax) June–August 2014–2017. Stratified...