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Taking into account the limited availability of on-line sensors for AD process, in this contribution is assumed that only the methane outflow rate is available for on-line measurement.
In Equation 1, RV activity is treated as spill-over and the VA contribution is assumed to be due to spill-over from the left ventricular cavity, rather than due to arterial activity within the myocardium.
It can also be used to deduce numerical values of an empirical coefficient in a popular alternative model of skin friction in which the unsteady contribution is assumed to be proportional to the instantaneous mean acceleration.
In this case, the contribution is assumed to be equal across the individuals in a pooled sample.
Although more advanced statistical methods do exist to take into account these competing transmission risks (26, 35), this study was undertaken at a stage when community transmission was limited so this contribution is assumed to be minimal.
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It has to be kept in mind that in calculating GE at 60%\documentclass[12pt]{minimal}} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ P_{V{\text{O}}_{{\text{2max}}} },$$\end{document} anaerobic contribution was assumed to be negligible.
If sharp contributions are assumed the analysis procedure is called a parametric method.
Random realizations of the field are generated by combining the effects of numerous remote point sources, whose contributions are assumed independent identically distributed (IID) circular Gaussian RVs.
In terms of the model structure itself, comorbidity contributions are assumed to be additive which does not take into account the interaction between comorbidities, an effect that is well documented in the literature [19, 20].
These contributions are assumed to be independent and randomly drawn from log-normal distributions.
These contributions are assumed to be independent and randomly drawn from log-normal distributions and, as all factors meet in unique combinations a nested variance model is individually applied to each gene such that the model of the measured expression, X ijkl, of each probe is defined as X ijkl = μ + A i + B ij + C ijk + D ijkl + ϵijkl.
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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