A5101497676- Atmospheric chemistry and aerosols
- COVID-19 epidemiological studies
- COVID-19 and healthcare impacts
- Bacteriophages and microbial interactions
- Plant Virus Research Studies
- Atmospheric Ozone and Climate
- Air Quality and Health Impacts
- Toxic Organic Pollutants Impact
- Per- and polyfluoroalkyl substances research
- Evolution and Genetic Dynamics
- Data-Driven Disease Surveillance
- Big Data and Business Intelligence
University of California, Riverside
2024
North Carolina State University
2023
Statistical Service
2021
As the COVID-19 outbreak evolves, accurate forecasting continues to play an extremely important role in informing policy decisions. In this paper, we present our continuous curation of a large data repository containing information from range sources. We use develop predictions and corresponding prediction intervals for short-term trajectory cumulative death counts at county-level United States up two weeks ahead. Using January 22 June 20, 2020, combine multiple forecasts using ensembling...
Per- and polyfluoroalkyl substances (PFAS) are widely used anthropogenic chemicals. Because of the strength carbon–fluorine bond, PFAS not destroyed in typical water treatment processes. Sulfate (SO4•–) hydroxyl (•OH) radicals can oxidize some PFAS, but behavior per- ether acids (PFEAs) processes involving SO4•– •OH is poorly understood. In this study, we determined second-order rate constants (k) describing oxidation 18 including 15 novel PFEAs, by •OH. Among studied 6:2 fluorotelomer...
Heterogeneous oxidative aging of organic aerosols (OA) occurs ubiquitously in the atmosphere, initiated by oxidants, such as hydroxyl radicals (•OH). Hydroperoxyl (HO2•) are also an important oxidant troposphere, and its gas-phase chemistry has been well studied. However, role HO2• heterogeneous OA oxidation remains elusive. Here, we carry out •OH-initiated several model systems under different conditions a flow tube reactor characterize molecular products using suite mass spectrometry...
Simulations play a crucial role in the modern scientific process. Yet despite (or due to) their ubiquity, Data Science community shares neither comprehensive definition for "high-quality" study nor consolidated guide to designing one. Inspired by Predictability-Computability-Stability (PCS) framework 'veridical' Science, we propose six MERITS that simulation should satisfy. Modularity and Efficiency support Computability of study, encouraging clean flexible implementation. Realism Stability...