The current study focuses on constructing an organizational framework for dust explosion model development.
Results were generally better constrained when a τ550-dependent aerosol model for desert dust particles, parameterized on the basis of nearby AERONET site data, was used in place of a generic rural or background desert model.
We additionally reanalyzed the model for leather dust exposure and pharyngeal cancer, restricted to only oropharyngeal cancers (excluding 61 hypopharyngeal cases); point estimates were similar to those for all pharyngeal cases (OR = 1.8, 95% CI: 1.3, 2.5).
Also, again orally applied, G. lucidum preparations were effective in a mouse model for house dust mite allergy [ 57]. β-Glucans appear to exert their immunomodulatory effects via the activation of innate pathways, e.g. in macrophages ([ 49, 50] Fig. 1).
This paper presents an evaluation of a buoyancy-modified k−ε dust dispersion model for predicting fugitive dust deposition from a surface quarry.
The CFD model for the effective dust cloud mixture is then executed to model the propagation of the dust explosion.
We assume a relative measurement error of 1%, and a regularization parameter γ d = 1 is employed for dust model parameters.
In this work, we focus on four optical function datasets used to approximate forsterite in astronomical models of dust, to provide recommendations on how to make an educated decision regarding which values are consistent and appropriate for modeling dust.
Humidity and land cover were included in the final model for statistical reasons, but dust and population density still have an independent effect and may be important in determining epidemic occurrence (22 ).
As in Zubko et al. (2009), we use the so-called agglomerated debris particles model for the shape of cometary dust particles.
