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The stochastic thermal characteristics of Al-PCB are investigated by an active infrared imager, and its thermal time constant matrix-based probability is suggested to estimate uniformity.
Design parameters such as the permeability of the porous media, the manifold width and the air feeding rate were changed to estimate uniformity of the flow distribution in the manifold.
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The estimated uniformity of the thermal conditions is greatly influenced by location of the DO inside the furnace.
We performed Monte Carlo simulations to estimate the uniformity of the 6LiF layer, and benchmarked the calculation against the NDP measurements.
In order to estimate the uniformity, the γ-ray tomography was used to observe the foreign substances in the dried molding sand samples with a self-designed simple setup.
The results indicated that the γ-ray tomography can be considered as an effective means for estimating the uniformity.
This metric is used for estimating the uniformity of the spread of the points in the final Pareto solution frontier found by each algorithm and is calculated by: S = Σ i = 1 N − 1 d i − d ¯ ( N − 1 ) d ¯ Open image in new window (35).
Although heritability estimates for uniformity of BW were low and of similar magnitude in BE (0.014) and PE (0.012), the corresponding coefficients of genetic variation reached 19 and 21%, which indicated a high potential for response to selection.
First, we estimated the uniformity of the DMSO controls and the possible number of hits by generating a Q-Q plot that graphs expected versus observed P values (Fig. 1b).
Heritability estimates for uniformity of BW \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\leftt({h}_v^2\right) $$\end{document} h v 2 were low and of similar magnitude for BE (0.011) and PE (0.010).
It was thus very useful to estimate the areal uniformity of the graphene samples with different growth parameters.
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