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The mixtures were defined through the use of a 23 factorial design of experiments.
Three different multiplex reaction mixtures were defined and evaluated for the detection of all these 11 genes.
For each product, ten mixtures were defined by mixture design of experiments and the leaching of As, Ba, Cd, Cr, Cu, Mo, Ni, Pb, and Zn was evaluated in pressed specimens fired simulating the three industrial ceramic processes.
All the solvent mixtures were defined as v/v.
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Upper and lower loss bounds for Bayesian mixtures are defined using minimax and maximin approaches [20,27].
A simple example of Theorem 2 occurs when the mixtures are defined by a log-concave location shift model with location parameters (theta _{D_{1}}
A dusty gas air mixture is defined as a mixture of dusty gas and atmospheric air.
An isentropic process is admitted for both components and under such assumption the density of the binary gas mixture is defined.
It should be noted that in this case each mixture is defined by several points (several property values) corresponding to the different concentration values of its components.
The ensemble HMM mixture is defined as (left {lambda _{k}^{(c)}right }), where k∈{1,⋯,K}, and c=C k if cluster k is dominated by sequences labeled with class C k, and c∈{1⋯,C} if cluster k is a mixed cluster.
This mixture was defined as the input.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com