A5061365681- COVID-19 epidemiological studies
- COVID-19 Pandemic Impacts
- Atmospheric chemistry and aerosols
- Atmospheric aerosols and clouds
- Air Quality and Health Impacts
- COVID-19 impact on air quality
- Atmospheric Ozone and Climate
- Climate Change and Health Impacts
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
- Atmospheric and Environmental Gas Dynamics
- Air Quality Monitoring and Forecasting
- Advanced Battery Materials and Technologies
- COVID-19 and Mental Health
- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Poverty, Education, and Child Welfare
- E-commerce and Technology Innovations
- Misinformation and Its Impacts
- Energy Load and Power Forecasting
- Real-time simulation and control systems
- Perfectionism, Procrastination, Anxiety Studies
- Mindfulness and Compassion Interventions
- Anomaly Detection Techniques and Applications
- Real-Time Systems Scheduling
Lanzhou University
2020-2025
Nanjing University
2023
Institute of Zoology
2023
Chinese Academy of Sciences
2023
University of Chinese Academy of Sciences
2023
Shenyang University
2022
Hunan Agricultural University
2021
Rutgers, The State University of New Jersey
2020
University of Illinois Urbana-Champaign
1996
Abstract Anthropogenic dust (AD), as a crucial component of particulate matter, is defined emitted through modifying or disturbing soil particles directly indirectly associated with human activities in urban areas, croplands, pasturelands and dry lakes. The sources, characteristics, impacts AD remain poorly studied, contrast to the large body research on natural (ND). This review summarizes scientific findings published since 1990s regarding emissions, physical-chemical spatio-temporal...
In contrast to Emotional and behavioral problems (EBPs), which can disrupt normal adolescent development, resilience buffer the effects of stress adverse childhood experiences help youth overcome adversity. While research has looked at relationship between EBPs, current literature relatively lacks a discussion strengths-based approach framework, nor discuss non-western sociocultural contexts. this study, we utilized theory examine individual mindfulness life skills on consequently EBPs in...
The evolution of the COVID-19 pandemic features alternation oscillations and abrupt rises. are attributable to weekly seasonal modulations, while rises stimulated by mass gatherings.
Abstract Dust emission is a prerequisite to accurately describe the physical processes of dust and closely associated with sources; however, spatial temporal variation East Asian sources has not been quantified. Herein, we show effects dominant factors dynamic source on modeling multiple aspects. We found that in Asia 2001–2020 demonstrates pronounced monthly annual variability, showing wider distribution March than July lower probability uplifting summer spring. The functions Gobi Desert...
Heat stress events in China are becoming increasingly frequent and severe, exacerbated by the nation’s rapidly aging population. Elderly individuals, as a particularly vulnerable group, face heightened risks have reduced ability to withstand such hazards. However, research on long-term dynamics of heat among elderly remains limited. This study addresses this gap employing Intergovernmental Panel Climate Change (IPCC) risk framework evaluate evolving health for since start 21st...
Humans spend approximately 80% of their lifetime indoors, exposing themselves to indoor pollutants for prolonged periods. There has been considerable focus on outdoor and air pollution sources in academic research. However, the mechanism PM 2.5 (particulate matter with a diameter µm or less) diffusion from outdoors which governs distribution, significantly overlooked. Human behaviours, particularly window opening habits, have critical impact distribution concentration. We investigated under...
Coronavirus disease 2019 (COVID-19) is a severe global public health emergency that has caused major crisis in the safety of human life, health, economy, and social order. Moreover, COVID-19 poses significant challenges to healthcare systems worldwide. The prediction early warning infectious diseases on scale are premise basis for countries jointly fight epidemics. However, because complexity epidemics, predicting faces challenges. In this study, we developed second version Global Prediction...
A novel coronavirus (COVID-19) has caused viral pneumonia worldwide, posing a major threat to international health. Our study reports that city lockdown is an effective way reduce the number of new cases and nitrogen dioxide (NO
Abstract. Dust emission refers to the spatial displacement process of soil particles with influence wind. The quantitative and accurate description dust is basis simulation in modeling. previous studies always employed static land cover numerical models, ignoring dynamic variations surface bareness leading large uncertainties simulation. We build six sets sources functions, which shows a pronounced monthly annual variability seasonal change. Compared that July, source March an expanding...
At the time of writing, coronavirus disease 2019 (COVID-19) is seriously threatening human lives and health throughout world. Many epidemic models have been developed to provide references for decision-making by governments World Health Organization. To capture understand characteristics trend, parameter optimization algorithms are needed obtain model parameters. In this study, authors propose using Levenberg–Marquardt algorithm (LMA) identify models. This combines advantage Gauss–Newton...
Abstract COVID-19 is now in an epidemic phase, with a second outbreak likely to appear at any time. The intensity and timing of common concern worldwide. In this study, we made scenario projections the potential using statistical-epidemiology model, which considers both impact seasonal changes meteorological elements human social behaviors such as protests city unblocking. Recent street United States other countries are identified hidden trigger amplifier outbreak. scale subsequent outbreaks...
This paper describes PERTS, a prototyping environment for real-time systems. PERTS provides comprehensive set of design, validation, and simulation tools that are built on recent theoretical advances. It also software modules implement wellknown novel scheduling algorithms, task resource assignment access control protocols. Together, the support systematic rigorous evaluation new designs, experimentation with alternative management strategies, validation resultant system.
Abstract Recently, a novel coronavirus (COVID-19) has caused viral pneumonia worldwide, spreading to more than 200 countries, posing major threat international health. To prevent the spread of COVID-19, in this study, we report that city lockdown measure was an effective way reduce number new cases, and nitrogen dioxide (NO 2 ) concentration can be adopted as environmental indicator. In China, after strict lockdown, average NO decreased 55.7% (95% confidence interval (CI): 51.5-59.6%) total...
In 2020, the COVID-19 pandemic spreads rapidly around world. To accurately predict number of daily new cases in each country, Lanzhou University has established Global Prediction System Pandemic (GPCP). this article, authors use ensemble empirical mode decomposition (EEMD) model and autoregressive moving average (ARMA) to improve prediction results GPCP. addition, also conduct direct predictions for those countries with a small confirmed or are early stage disease, whose development trends...