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Since stars contain a preponderance of hydrogen and helium that are completely ionized throughout the interior, the average particle mass, μ, is the (unit) mass of a proton, divided by a factor taking into account the concentrations by weight of hydrogen, helium, and heavier ions.
The count ratio together with the measured average particle mass ratio (k) of non-metal and metal particles is sufficient for calculation of grade.
24-hour average particle mass concentration was measured with Harvard impactors for PM2.5 and PM10.
Global analysis of sedimentation equilibrium data resulted in weight average particle mass of 564 ± 5 kDa in 95% confidence level, with almost no observable tendency to aggregate in the time course of the experiment (as judged from the residual plot of fit analysis).
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The dependence of these quantities on average particle diameter, mass fraction of the fines in the mixture, initial static bed height, and cone angle is discussed.
The dependence of these quantities on average particle diameter, mass fraction of the fines in the mixture, initial static bed height and material density has been discussed.
Using inverse simulation approach with genetic algorithm, unknown four key parameters in the developed model, effective diffusivity, partition coefficient, average particle size and mass fraction of leaf particles were determined at different extraction temperatures and solvent concentrations.
The results indicate the reduced-order model can predict the char burning rate quite accurately with considering the ash inhibition effect and the predicted evolution of particle mass average diameter with mass loss agreeing well with experiment data.
The model is compared to the literature-standard soot model [J. Appel, H. Bockhorn, M. Frenklach, Combust. Flame 121 (2000) 122–136] in a plug-flow reactor and is shown to predict well the experimental results of soot mass, average particle size, and particle size distributions at different flow times.
Average long-term exposure to particle mass for MESA participants was estimated using three metrics that were calculated using the complete residential history that participants provided during the two decades preceding the baseline clinical exam (2000 2002).
The average particle size is smaller [median mass aerodynamic diameter (MMAD) of both compounds is 1.1 μm], the velocity of the particles leaving the inhaler on actuation is slower, the duration of the spray is longer and the temperature of the spray is warmer compared with that of traditional inhalers [ 42].
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