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The model obtained here will be an important predictive tool for future development of this important class of drugs.
C3 is consistent in location along profile and approximately in depths with these conductors, even though the model obtained here is 2D.
It suggests that the model obtained here can predict the Tg values of polymers and provide theoretical guidance for polymeric molecular designs.
Reynolds-averaged Navier Stokes calculations of a test flame using the model obtained here show that the contribution of dilatation to local turbulent mixing rate is important to predict the propagation phenomenon.
Qualitatively, the linear model obtained here predicts similar responses to climate change in comparison to the non-linear model: increasing temperatures will lead to declines in population density.
Finally, in line with the strong associations of the 8‐SNP model obtained here with social withdrawal as key feature of ASD, we were able to demonstrate that an accumulation of ≥ 5.5 proautistic genotypes, compared to ≤ 2.5 in a general population sample, is associated with less self‐reported social support.
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This model has provided an objective framework to the subjective interpretation of the adsorption system and the model constant obtained here can be used to achieve the ultimate objective of our study that is, up scaling and designing of adsorption process at the pilot plant scale level.
It is interesting to note that the vacuum model (21) obtained here has no singularity at r = 2k.
Computer modeling (21– 23) of the profiles obtained here may allow for optimization of algorithm performance and should lead to improved outcomes in subsequent clinical studies.
Multidimensional models similar to the one obtained here have been successfully applied to generic medicine treatments (SATMED-Q) [ 24] and treatments for asymptomatic diseases such as glaucoma (GLAUSAT) [ 50], and the dimensions obtained have been shown to be consistent with other models such as the TSQM [ 18, 24].
The results obtained here for two model organisms, Arabidopsis and yeast, indicate the usefulness of our method for exploiting available microarray data for deriving functional associations.
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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