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An endothelial cell on an existing capillary can be activated in the model when one of its segments is activated.
But selecting the Supreme Court only from judges is hardly the "normal model" when one looks back.
This article discusses and compares several methods for estimating the parameters of a latent regression model when one of the explanatory variables is an endogenous binary (treatment) variable.
The accuracy of the approximations is assessed by simulation for two well-known nonlinear regression models the first-order growth or decay model and the Michaelis Menten model, when one of the two parameters is known.
We propose in this article to consider the limit behavior of the Koiter shell model when one of the characteristic length of the middle surface becomes very large with respect to the other.
It hurt when someone wrote, "If you have money to spare, I suppose you could do worse". We were tempted to rethink our model when one critic complained, "The prices are seriously whacked—$6 for…basically schmancy gas station food". We have plenty of good reviews, too, but even today our Yelp rating is just three out of five stars.
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It is perhaps not surprising that genomic signatures tend to outperform the pre-existing clinical models when one considers the large numbers of additional factors that are being taken into account, and that precision of measurement of these factors is continuous (gene expression levels) rather than categorical (for example, tumour grade and lymph node status).
However, when a clear temporal structure is not evident in the speech sound to model, or when one needs to model an underlying set of hidden classes (e.g., speaker properties in the case of speaker identification), a GMM can represent a better solution.
Thus, while one can propose a simplistic model for how NikR binding to DNA could be regulated by nickel, this model fails when one considers the features needed for efficient binding site searching, perhaps explaining the need for a more complex mechanism of action.
For the identification of differentially expressed genes, we used ANOVA model when just one variable was considered.
This model backfired when one CEO made a disastrous technology decision without consulting anyone, including Liu.
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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