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A dimensional analysis of the governing equations is introduced to examine contributions of each term of the model.
Following this, the combination of each scoring term was assessed by randomly drawing 1000 different weight combinations such that ((omega _{{mathrm{Frag}}} + omega _{{mathrm{RT}}} + omega _{{mathrm{Refs}}} = 1)) to determine the optimal relative contributions of each term for the best results.
Calculate the phenotype for each individual i as y i = aq i + bu i + cε i, where a, b, and c are constants used to adjust relative contributions of each term to the total phenotypic variance, ensuring that the QTL accounts for v%, polygenic effects account for 50% (in HS) or 0% (in pre-CC), and the remainder is attributed to individual-specific noise.
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The selection criterion is based on the variance contribution of each term to the model output.
First, the contribution of each term in the model equation with rotation effect is estimated.
This is explained by analysing the contribution of each term of the discrete kinetic energy balance.
The contribution of each term which is part of the time varying rate of the velocity potential is discussed.
The reduction mechanism of OH concentration was confirmed by analyzing the contribution of each term in the OH species equation.
The contribution of each term in the energy and the OH species equations were evaluated to investigate the unsteady extinction mechanism of nonpremixed flame.
The contribution of each term adopted in our metric, can be investigated by looking at the different values assumed by the corresponding weights w B, w C and w L in Equation 12.
The proportional contribution of each term in this sum thus indicates the contribution of each variance or covariance term to variation between pairs in mean daily visits.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com