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The relative importance of aliasing and truncation errors as compared to subgrid scale model terms in large eddy simulations is analyzed and discussed.
Therefore, X3, X4, X3 X12 X22, X32, X32, and X42 were significant model terms in the first RSM.
Dye concentration and pH are significant model terms in all the dyes except for reactive red 31.
However, the automatic identification of additional non-linear model terms in general requires more independent experimental data in order to ensure a stable convergence of the algorithm to a unique model structure (see in [ 2] section 3.3.2).
This was consistent with the difference in trajectories that group 4 exhibited in Figures 1 and 2. The 95% confidence interval limits of the expected trajectories for each group and data set are provided in Additional files 3 and 4 The similarity of groups in the same major trend is also evident from the coefficients of the model terms in the semiparametric approach (Table 2).
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The ANOVA of the model and respective model terms are tabulated in Table 3.
We report support for each model in terms of LBF units and in terms of the posterior probability.
Semantic annotations link model entities to terms in bio-ontologies.
The final model added interaction terms in order to test for moderation.
The best model, in terms of AIC, was that in V 2 + ρ + D + A.
The score of the best model in terms of AICc is displayed in bold.
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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