AIMC Topic: Particulate Matter

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Development of rapid and highly accurate method to measure concentration of fibers in atmosphere using artificial intelligence and scanning electron microscopy.

Journal of occupational health Jan 1, 2021
AIM: We aimed to develop a measurement method that can count fibers rapidly by scanning electron microscopy equipped with an artificial intelligence image recognition system (AI-SEM), detecting thin fibers which cannot be observed by a conventional p...
Image Interpretation, Computer-Assisted Microscopy, Electron, Scanning Occupational Exposure Particulate Matter Air Filters Asbestos Atmosphere Air Pollutants, Occupational Humans Artificial Intelligence
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Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model.

Ciencia & saude coletiva Mar 1, 2019
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addition to social costs. Objective of this study was to develop and validate a fuzzy linguistic model for prediction of hospitalization due to respiratory...
Reproducibility of Results Hospitalization Humans Models, Theoretical Fuzzy Logic Sensitivity and Specificity Brazil Particulate Matter Patient Admission Air Pollutants Environmental Exposure Respiratory Tract Diseases Air Pollution
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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 Sep 1, 2017
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.
Particle Size Air Pollutants Particulate Matter Humans Reactive Oxygen Species Vehicle Emissions Epithelial Cells
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[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 Nov 1, 2016
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.
Inflammation Transcription Factor RelA Humans Particulate Matter Poly (ADP-Ribose) Polymerase-1 Epithelial Cells Nitric Oxide Synthase Type II Nitric Oxide
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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) Jul 1, 2015
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...
Seasons Particle Size Principal Component Analysis Air Pollutants Particulate Matter Neural Networks, Computer Models, Theoretical
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Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Research report (Health Effects Institute) Jun 1, 2015
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...
Hazardous Substances United States Environmental Protection Agency Particulate Matter Aged Prospective Studies Environmental Exposure Humans Bayes Theorem Data Interpretation, Statistical Animals Computer Simulation Artificial Intelligence Dogs Air Pollution Air Pollutants United States Respiratory Tract Diseases Environmental Monitoring
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