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The existing models use either only population data [ 5]or a combination of population data and clinical records [ 6, 7].
The local models use either the 3D solid body or shell approximations.
Today, most global atmospheric models use either the spectral method based on expansions in terms of triangularly truncated spherical harmonics, The spectral transform method based on spherical harmonics has been widely used to solve the dynamical part in the atmospheric general circulation model (GCM) because of its high accuracy.
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Because all fitted independent models performed almost equally, the models using either DBH or RCD exclusively are preferred as tree height is difficult to measure in natural forests.
Based on the fact that all models performed almost equally, the models using either diameter at breast height (DBH) exclusively as a predictor should be preferred, as tree height is difficult to measure.
However, as including tree height improved the fit statistics of the models negligibly, and sometimes worsened them, the models using either DBH or RCD only should be preferred, as tree height is difficult to measure in natural forests.
These experimental investigations have been completed by a numerical study to evaluate the ability of two different models (using either smeared or discrete cracks description) to describe the experimental behaviour observed at the mesoscopic scale.
Attempts to assess the candidate models using either observatory or satellite data are thus complicated by the necessity of propagating the models to suitable comparison epochs as well as with difficulties in separating internal and external field contributions in the observed data.
Subsequent murine models, using either heat-killed and live bacteria or LPS, showed evidence that both TLR2 and TLR4 play a role [14], [15].
Specifically, linear regression models using either treatment activity scores (TAS), the drug combination, or pRC or any combination of these covariates were trained to predict change in VL and CD4, respectively.
The relative contributions of the three main jaw-closing muscles (temporalis, masseter, and pterygoid) have been estimated in craniodental FE models using either physiological cross-sectional area (PCSA), an estimated of muscle cross-sectional area using dry skulls [39], or by mass of dissected muscles.
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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