A5059722551- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Market Dynamics and Volatility
- Vehicle emissions and performance
- Adsorption and biosorption for pollutant removal
- Energy, Environment, Economic Growth
- Complex Systems and Time Series Analysis
- Odor and Emission Control Technologies
- Mine drainage and remediation techniques
- Effects and risks of endocrine disrupting chemicals
- Musicology and Musical Analysis
- Water Quality Monitoring and Analysis
- Climate Change and Health Impacts
- Educational Reforms and Innovations
- Decision-Making and Behavioral Economics
- Smart Materials for Construction
- Asian Culture and Media Studies
- Coastal and Marine Management
- Advanced Chemical Sensor Technologies
- Monetary Policy and Economic Impact
- Toxic Organic Pollutants Impact
- Chinese history and philosophy
- Microplastics and Plastic Pollution
- Noise Effects and Management
- Wastewater Treatment and Nitrogen Removal
Seoul National University
2025
Shanghai East Hospital
2025
Beijing University of Chinese Medicine
2018-2025
Chinese Center For Disease Control and Prevention
2016-2024
Qingdao University of Technology
2024
Shenzhen Third People’s Hospital
2024
Southern University of Science and Technology
2024
Tianjin University
2023
Tianjin Medical University
2023
Ocean University of China
2017-2022
A systematic and efficient strategy is needed to assess manage potential risks human health that arise from the manufacture use of thousands chemicals. Among available tools for rapid assessment large numbers chemicals, significant gaps are associated with capability evaluate exposures occur indoors. For semivolatile organic compounds (SVOCs), exposure strongly influenced by types products in which these SVOCs occur. We propose methods obtaining screening-level estimates two primary SVOC...
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...
Using panel data from 11 regions (9 provinces and two cities) in the Yangtze River Economic Belt (YREB) during 2002–2017, regional differences spatial characteristics of green efficiency water resources along YREB were analyzed. The undesirable outputs slacks-based measure-data envelopment analysis, Malmquist index, social network analysis models employed. A dynamic using a system generalized method moments model was established to empirically examine main factors influencing efficiency....
Following generalized variance decomposition, we identify the transmission structure of financial shock among ten sectors in China. Then, examine whether economic policy uncertainty (EPU) affects it through GARCH-MIDAS regression. We find that consumer discretionary, industrials, and materials are systemically important industries during sample period. Further research dynamic analysis shows each sector acts a time-varying role this structure. The results regression indicate none selected...
Modelling can contribute to disease prevention and control strategies. Accurate predictions of future cases mortality rates were essential for establishing appropriate policies during the COVID-19 pandemic. However, no single model yielded definite conclusions, with each having specific strengths weaknesses. Here we propose an ensemble learning approach which offset limitations improve prediction performances. We generated transmission impact in South Korea using seven individual models,...
Abstract Objective: This study addresses the limitations of existing traditional Chinese medicine (TCM) constitution identification techniques for elderly by proposing an intelligent method aimed at enhancing accuracy, standardization, and formalization process. Materials Methods: Leveraging data from images tongue, face, pulse, this introduced four image classification models: EfficientNetV2, MobileViT, Vision Transformer, Swin Transformer. A comparative experimental approach was employed...
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...
The paper analyses the trend of global stock market linkages via daily data 51 indices spanning period 22 July 2005 to 30 June 2016 which covers four regions: America, Europe, Asia Pacific and Africa. A dynamic conditional multivariate generalized autoregressive heteroskedasticity (DCC-MVGARCH) approach was used calculate correlation coefficient in order construct volatility networks. methods minimum tree (MST) low pass filter were for first time applied analyze variable periodicity...
Purpose In recent years, China's marine industry has maintained rapid growth in general, and marine-related economic activities have continued to improve. The purpose of this research is analyze the basic situation economy development, identify problems therein, forecast development trends propose policy recommendations accordingly. Design/methodology/approach This conducts a comprehensive detailed analysis with rich data diversified aspects. current analyzed from perspective scale...
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),...
Enhancing marine economic resilience is a necessary response to both domestic and international shocks, it also key achieving the sustainable development of economy. In recent years, rising uncertainties domestically internationally have posed significant challenges China’s response, China has continuously strengthened its environmental regulations, influencing economy through various regulations. This paper measures index using panel data from 11 coastal provinces municipalities in 2010...