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This metric is sensitive to features such as smoothed edges, which are characterized by a significant deviation of the two principal curvatures.
This metric is sensitive to niche items which are mainly popular in small groups of friends.
The metric is sensitive to the smoothness of the classifier boundary and the overlap on the convex hull of the classes.
Finally, because the mean-squared-displacement metric is sensitive to the tails of the signals' distributions, we conducted Monte Carlo simulations of our original model with finite, integer particle numbers (Figure 7).
This metric is sensitive to the change of sensory information.
Taking one individual as an example, the deviation estimates for three choices of γ were 0.067, 0.062, and 0.092, with γ = 100 performing the best and γ = 200 performing the worst, presumably because the metric is sensitive to smoothness.
Similar(53)
We found that the ratio of the SHG to autofluorescence amplitude was excellent for determining the layer of signal acquisition, and that this metric was sensitive enough to differentiate between the superficial and basal epithelium (data not shown).
48 Cost-effectiveness analyses that use DALYs averted as the primary metric are sensitive to changes in disease-associated mortality rates, therefore OCV may be very economically efficient if targeted to individuals with a low likelihood of receiving treatment.
The authors claim that their variance-based disconjugacy metric was sensitive to the severity of a concussive brain injury and to the status of recovery after the original injury.
Figure 9 shows that the MCM parameter (2) of the α-metric is sensitive to the FEC rate.
This is due to the choice of feature-based metric which is sensitive to the decision boundary.
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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