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The outcome was a set of extracted signal features correlated with the consumed tool life percentage.
A comparison of the acoustic features correlated with the dimensions of these four perceptual spaces yields some interesting facts.
Most of the observed features correlated with previously published histopathological findings, but inner nuclear layer cysts have not been previously described.
Characteristics of the ant community were consistent predictors of prey removal, whereas local and landscape habitat features were less important, and only three habitat features correlated with prey removal.
Finally, the macroscopic features correlated with the histological findings in the experimental groups.
For each time point, and for each expression and SF band, we computed a classification image to estimate the facial features correlated with modulations of EEG amplitudes.
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We also discuss how these features correlate with Berkovich nanoindentation produced defects/dislocations structures.
Unfortunately, there is no agreement within researchers on how acoustic features correlate with valence dimension.
Table 1 lists the structural and informational factors (features) we consider.3 We use logistic regression to analyze how these features correlate with the TRF probability.
Moreover, we also discuss how these features correlate with indentation-produced defect microstructures revealed by Raman scattering and cathodoluminescence (CL) microscopy.
We show that these features correlate with mental fatigue and provide a distributed architecture for the non-intrusive and transparent collection of this data.
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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