AIMC Topic: Dust
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Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source.
Scientific reports
Nov 11, 2022
Dust storms have many negative consequences, and affect all kinds of ecosystems, as well as climate and weather conditions. Therefore, classification of dust storm sources into different susceptibility categories can help us mitigate its negative eff...
Quantitative computed tomography imaging-based classification of cement dust-exposed subjects with an artificial neural network technique.
Computers in biology and medicine
Dec 21, 2021
BACKGROUND AND OBJECTIVE: Cement dust exposure is likely to affect the structural and functional alterations in segmental airways and parenchymal lungs. This study develops an artificial neural network (ANN) model for identifying cement dust-exposed ...
Walking-induced exposure of biological particles simulated by a children robot with different shoes on public floors.
Environment international
Oct 13, 2021
Inhalation exposure to the resuspended biological particles from public places can cause adverse effects on human health. In this work, carpet dust samples were first collected from twenty example conference and hotel rooms by a vacuum cleaner. A bip...
Plastic additives and personal care products in south China house dust and exposure in child-mother pairs.
Environmental pollution (Barking, Essex : 1987)
Dec 18, 2020
Indoor environment constitutes an important source of industrial additive chemicals to human exposure. We hypothesized that the influence of residential environment on human exposure varies among different types of additive chemicals and differs betw...
Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions.
Environmental science and pollution research international
Oct 3, 2020
Accurate prediction of the dust concentration (DC) is necessary to reduce its undesirable environmental effects in different geographical areas. Although the adaptive neuro-fuzzy inference system (ANFIS) is a powerful model for predicting dust events...
Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography.
Occupational and environmental medicine
May 29, 2020
OBJECTIVES: To investigate the potential of deep learning in assessing pneumoconiosis depicted on digital chest radiographs and to compare its performance with certified radiologists.
Biomarkers for Pulmonary Inflammation and Fibrosis and Lung Ventilation Function in Chinese Occupational Refractory Ceramic Fibers-Exposed Workers.
International journal of environmental research and public health
Dec 27, 2017
Refractory ceramic fibers (RCFs) can cause adverse health effects on workers' respiratory system, yet no proper biomarkers have been used to detect early pulmonary injury of RCFs-exposed workers. This study assessed the levels of two biomarkers that ...
Presence of diphenyl phosphate and aryl-phosphate flame retardants in indoor dust from different microenvironments in Spain and the Netherlands and estimation of human exposure.
Environment international
Dec 18, 2017
Phosphate flame retardants (PFRs) are ubiquitous chemicals in the indoor environment. Diphenyl phosphate (DPHP) is a major metabolite and a common biomarker of aryl-PFRs. Since it is used as a chemical additive and it is a common impurity of aryl-PFR...
Application of artificial neural network in medical geochemistry.
Environmental geochemistry and health
Mar 28, 2017
For the evaluation of various adverse health effects of chemical elements occurring in the environment on humans, the comparison and linking of geochemical data (chemical composition of groundwater, soils, and dusts) with data on health status of pop...
First Case Report Of Anca-Associated Vasculitis And Anthracosis Coexistence.
Journal of Ayub Medical College, Abbottabad : JAMC
Jan 1, 2023
Anthracosis is a type of mild pneumoconiosis secondary to harmless carbon dust deposits. Although anthracosis was previously associated with inhaled coal particles, such as coal workers' pneumoconiosis, this hypothesis was later abandoned; pathology ...
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