AIMC Topic: Particulate Matter

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[Toxicity of vehicle exhaust on BEAS-2B cells in vitro by air-liquid interface].

Wei sheng yan jiu = Journal of hygiene research
OBJECTIVE: To evaluate the toxic effect of vehicle exhaust( VE) on lung epithelial cells by air-liquid interface( ALI) method in vitro, and analyze the different toxicity of VE after being treated with 0. 2 μm filter.

[The Protective Effect of Inhibition of PARP-1 on Inflammation Induced by PM2.5 in Human Bronchial Epithelial Cell Line.].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
OBJECTIVES: To explore whether the inhibition of poly ADP-ribose polymerase-1(PARP-1) could attenuated inflammation induced by fine particulate matter (PM2.5) in human bronchial epithelial cell line.

Improving artificial neural network model predictions of daily average PM10 concentrations by applying principle component analysis and implementing seasonal models.

Journal of the Air & Waste Management Association (1995)
UNLABELLED: This study introduces a seasonal modeling approach in the prediction of daily average PM10 (particulate matter with an aerodynamic diameter<10 μm) levels 1 day ahead based on multilayer perceptron artificial neural network (MLP-ANN) forec...

Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Research report (Health Effects Institute)
INTRODUCTION: The United States Environmental Protection Agency (U.S. EPA*) currently regulates individual air pollutants on a pollutant-by-pollutant basis, adjusted for other pollutants and potential confounders. However, the National Academies of S...