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HS and TO estimation methods present mean errors of 1.35 and 0.55% respect to gait cycle.
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We evaluate this method and present means and standard deviations of predictive performance and cutoff point estimates for typical cases via Monte Carlo simulation.
These methods present sensitive and reliable means of rapidly detecting and quantifying microorganisms.
The methods presented here provide a means to infer eruption source parameters from acoustic measurements.
Nevertheless, these methods present severe limitations.
This implies that the method presented provides a means to monitor the impact of for example, dietary interventions on the microbiota activity.
While we use ProtoNet as our test bed, it is important to note that the tools and methods presented here are by no means limited in their scope to ProtoNet.
This shows that one is unable to prove that Theorem 2.1 above is a consequence of the corresponding results in metric spaces by means of the methods presented in the literature.
An intriguing tilt away from the diagonal line of agreement is noted in the scatter plot for the question mean method presented in Figure 1, Panel C.
Figure 1 shows mean AUC values for ROC curves derived from each possible score for the methods presented.
We present means (± SE) throughout.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com