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In this paper, a thorough numerical investigation of the performance of several linear and nonlinear k ε turbulence model variants in various jet flow applications is carried out.
For complex dissociation we consider two model variants: In the "Dissociation variant", we assume that MCC binds to APC and that this binding is reversible (Eq. (7a)).
There is a difference between the model variants in the way the strongest sites are distributed between distinct groups of TFBSs, namely belonging to CRMs, DNase I accessibility region, or both (Table 11).
Here, we introduced several new model variants in which the numerical solution of model equations for proteins is used as concentration profiles for these TFs, as generally expected when simulating differential equations.
Eleven variants in nine genes showing significance at P-value <0.05 for adjusted (multivariate) analyses using log-additive (ordinal), recessive or dominant models are shown in Table 2. Assuming a log-additive model, variants in five genes revealed significant associations (P-value <0.05): ABL1 rs2855192, CDKN1A rs776246, CCND3 rs3218086, CDK2 rs2069414 and E2F3 rs7760528.
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In addition, the layer-based formalism is especially suited for comparing many model variants, as in many cases only a few equations in a single layer have to be changed.
Instead, future choice sets must be formed by assuming that (most) model variants available in our last year(s) of observation continue to be offered in the market, albeit possibly with certain alterations and improvements, such as a steadily improved fuel efficiency.
A few words on the selection of model variants are in order.
A promising result is that the impairment-factor-based model variants and in all cases perform better than the quality-based model variants and.
Since our model keeps track of a five-digit number of different passenger car model variants sold in Norway during 16 years, with an average annual sale of about 40 vehicles per model variant, it is as detailed as any disaggregate approach, capturing differences between all the vehicles available in the market.
It correlates closely with the number of human cases 1904-1948 in the same (ρ = 0.57) and in the following (ρ = 0.60) year, and this is not sensitive to the exact number of model variants included in Y, as the poor (high GCV) sylvatic models cancel out, leaving the signal from the good (low GCV) ones dominant.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com