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In Section 2 we present the system model, and we introduce the main assumptions required for our analysis.
The main assumptions required for utilizing this model were constant bottom-hole flowing pressure, pseudo-steady-state production across every layer and negligible non-Darcy flow coefficient.
This work identifies the main assumptions required for the existence of both thresholds, and therefore, for the existence of a non-monotonic pattern in which the fitness of the drug resistance parasite first increases, then decreases, and increases again.
As such samples are not statistically independent this violates one of the main assumptions required for the t-test, namely that of independence i.e. observations between or within groups are not paired, dependent, correlated, or associated in any way [ 11].
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The distribution of the relative risks is not Normal, and so the main assumption required for the one-sample t-test is not valid in this case.
When such preparations are subjected to molecular sieving, they will hence be sorted by their affinity for the matrix and resistance to the employed flow rate, thereby obliterating the main assumption required to use molecular sieving profiles to estimate size.
In this section, we state our main results and the assumptions required for them.
The assumptions required do, however, remain restrictive.
However, these assumptions require more evidence.
Our approach to categorizing admissions into these four indications required two main assumptions.
Two main assumptions are used.
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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