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To test between the models described above, they must be spatially separable, and this must be reflected somehow in neural activity.
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In the Results section, we illustrate some of these difficulties in interpretation via an analysis of a specific example data set, which also serves to demonstrate some unsuspected equivalences between several of the models described in this section.
We hypothesized that differences between the features of the models described in the 187 different articles could be accounted for by four factors (Table 2).
Reviewer comments: As there have been methods for predicting IgE inducing epitopes, what is the difference between previous methods and the models described in the manuscript?
Using the models described above between mouse density, tick abundance, and the PCA axes, we then estimated the coordinates of these patches on the first two PCA axes from these landscape variables and calculated the predicted density of white-footed mouse and maximum abundance of black-legged tick for each of these patches.
The interactions between a set of genes in the model described above can be represented as a directed graph, where the nodes represent genes and the edges represent connections among genes in the publish-subscribe model.
This generated 17 subtly different ROIs, which provided statistically independent regions for testing differences between the 4 models described earlier.
So adequacy of the model describing association between any exposure and AMI hospital discharge rates can be questioned if the model fails to indicate the contribution of sex and age.
The model describes the coupling between the transport and reaction processes occurring at the pore and Darcy scales.
This correlation between the in vitro models described here and observations of DCIS clinical samples supports the validity of these co-units as models of normal and DCIS-like breast.
The time stamp of stories describing an event may cause a more detailed definition of an event or a topic at a later time window sometimes with some overlap between these definitions of an event or topic causing an overlap between the provenance graph models described for these time windows.
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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