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In Figs. 1 and 2, we show the denoising results from our new model and the CEP- L 2 model performed on the Lena image with additive Gaussian white noise of σ=10 and σ=15 respectively.
We also report on the first ever benchmark of a 8 trillion particles simulation of the same model, performed on Titan at Oak Ridge using 18,000 GPU-accelerated nodes.
Simulations for our signalling model, performed on hexagonal cells with circular nuclei, are demonstrated in figures 7, 8, 9, 10, 11, and 12, and also in two Supporting Information files (see "Animation S3" and "Animation S4").
Simulations for our non-dimensionalised core oscillator model, performed on a hexagonal cell with a circular nucleus, are demonstrated in figures 3, 4, and 5, and also in two Supporting Information files (see "Animation S1" and "Animation S2"). Figure 3 demonstrates stable oscillations over time in the concentrations of Her1 protein and her1 mRNA both in the cytoplasm and the nucleus.
The second sensitivity analysis was an intent-to-treat linear mixed-effects model performed on absolute values of the outcome, as opposed to changes in the outcome.
The multivariate logistic regression model performed on iELISA results (Table 3) showed year of sampling and age were significantly associated with boar seropositivity.
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Exploratory factor analyses and two-step structural equation modeling performed on the collected data led to three primary findings.
This result was in good agreement with the U speciation modeling performed on the sample taken from the 2.3 m depth, which predicted approximately 3% DOC-complexed U.
The results of the multivariate models performed on IBHQ scores at discharge are presented in the Tables 4 and 5, for the core and optional scores respectively.
The residuals v. predicted values for all mixed models performed on the response to level of substitution are presented in Figure 4.
The comparison of the results of multiple regression modelling performed on the non-imputed data set and pooled results of the analysis on data sets resulting from multiple imputation did not show essential differences.
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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