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Aerosol particles have received significant public and scientific attention in recent years due to studies linking them to global climatic changes and human health effects. aerosol time-of-flight mass spectrometry (ATOFMS), the first technique capable of simultaneously determining both size and chemical composition of polydisperse single particles in real(More)
BACKGROUND Interest in the health effects of particulate matter (PM) has focused on identifying sources of PM, including biomass burning, power plants, and gasoline and diesel emissions that may be associated with adverse health risks. Few epidemiologic studies, however, have included source-apportionment estimates in their examinations of PM health(More)
Although the association between exposure to ambient fine particulate matter with aerodynamic diameter < 2.5 microm (PM2.5) and human mortality is well established, the most responsible particle types/sources are not yet certain. In May 2003, the U.S. Environmental Protection Agency's Particulate Matter Centers Program sponsored the Workshop on the Source(More)
Airborne particle classification that leads to particle source identification is important to both the improvement of the environment and the protection of public health. In this study, individual airborne particles were analyzed using a computer-controlled scanning electron microscope (CCSEM). It, was found that a more accurate particle classification can(More)
BACKGROUND Mechanisms underlying previously reported air pollution and cardiovascular (CV) morbidity associations remain poorly understood. OBJECTIVES We examined associations between markers of pathways thought to underlie these air pollution and CV associations and ambient particle concentrations in postinfarction patients. METHODS We studied 76(More)
We and others have shown that increases in particulate air pollutant (PM) concentrations in the previous hours and days have been associated with increased risks of myocardial infarction, but little is known about the relationships between air pollution and specific subsets of myocardial infarction, such as ST-elevation myocardial infarction (STEMI) and non(More)
Cluster analysis of aerosol time-of-flight mass spectrometry (ATOFMS) data has been an effective tool for the identification of possible sources of ambient aerosols. In this study, the clustering results of two typical methods, adaptive resonance theory-based neural networks-2a (ART-2a) and density-based clustering of application with noise (DBSCAN), on(More)