Jin et al.: Fire Smoke Elevated the Carbonaceous PM2.5 Concentration and Mortality Burden in the Contiguous U.S. and Southern Canada

Read Full Text: https://pubs.acs.org/doi/full/10.1021/acs.est.5c01641 Despite emerging evidence on the health impacts of fine particulate matter (PM2.5) from wildland fire smoke, the specific effects of PM2.5 composition on health outcomes remain uncertain. We developed a three-level, chemical transport model-based framework to estimate daily full-coverage concentrations of smoke-derived...

Jin et al.: A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty

Jin, Zhihao, Qiang Pu, Nathan Janechek, Huanxin Zhang, Jun Wang, Howard Chang, and Yang Liu. A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty. Remote Sensing of Environment 303 (2024): 113995.  Read Online at https://authors.elsevier.com/a/1iSUj7qzT3DS- Ambient fine particulate matter (PM2.5) is strongly associated with various adverse health...

Gupta et al.: Boosting for regression transfer via importance sampling

Gupta S, Bi J, Liu Y, Wildani A. 2023. Boosting for regression transfer via importance sampling. Int J Data Sci Anal. https://doi.org/10.1007/s41060-023-00414-8. Instance transfer learning methodologies are extremely efficient for continuous-valued, regression datasets. However, these methodologies can suffer negative transfer due to distribution shifts between the training and test data as well...

Pruthi, D., Liu, Y.: Low-cost nature-inspired deep learning system for PM2.5 forecast over Delhi

Pruthi, D., Liu, Y. (2022). Low-cost nature-inspired deep learning system for PM2.5 forecast over Delhi, India. Environment International,166, 107373. Science Direct Link Air quality models are crucial tools for surveying and projecting air pollution episodes, which can be used to issue health advisories to act ahead of time. Short-term increases in air pollution trigger many adverse health...