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As we will show below, the model is quite robust with respect to the property used.
Third, as discussed in the Future Directions section below, the model is designed for operational use, utilizing data that are operationally available, including data that change over time and are frequently missing.
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We prove that there exists a critical value (tau_{0}) of the time delay below which the model is stable and above which the model will lose its stability.
Below, the models are described and the methods used to select the most-parsimonious models outlined.
The extent to which these two assumptions compromise the model is evaluated below, where we validate the model against actual data in starving individuals.
However, below 130 km none of the model is found to explain the WINDII measurements.
A detailed discussion of the underlying hypotheses and the corresponding literature supporting the model is specified below.
A more detailed description of the model is presented below.
Each component of the model is described below, including the vector transmission dynamics, within-host parasite dynamics, and interventions.
For the case study described below, the model was geographically extended to include the neighboring countries of Belgium.
To compare the class averages with the homology model of the RIP1 DD/FADD DD complex (see below), the model was Fourier transformed, filtered to 20 Å with a Butterworth low-pass filter, and transformed back.
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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