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The suitable surroundings.
Results show that a discrete Laplace operator applied to the input is a suitable predictor of the correlation coefficient between the desired shape and the device output.
For the class of models we consider, the correlation functions can be expressed in terms of multiple contour integrals, which are suitable for asymptotic analysis.
But the correlation goes the other way.
Our proposed method is based on the difference of the normalized correlation coefficients between edge slices at couch transitions, which we hypothesize may be a suitable metric to identify motion artifacts.
The correlation holds across the world.
The linear correlation coefficient=0.60 and the correlation probability=0.49%.
Correlations across measures were tested using the Pearson correlation coefficient.
The Pearson correlation coefficient (r) is shown.
He meant that the geographic correlation was stronger than the correlation between high test scores and high per-pupil expenditures.
The linear correlation coefficient has been used to quantify the magnitude of linear correlation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com