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The data lay the foundation for a new branch of nanostructured materials for biomedical applications.
The first interval, between 0 and 500 units of the filtered ap, corresponds to non-perturbed conditions; where approximately one half of the data lay.
The data did not resemble a Gaussian distribution, if the data lay outside of the confidence envelopes based on the standard errors of order statistics for an independent sample from the Gaussian distribution.
One way repeated measures of ANOVA was employed to analyze the presence of any difference in NO2 across time periods after structuring the data lay out into a long data format.
Constant comparison was used to allow each item to be checked or compared against the rest of the data Lay participants understood the majority of the terms explored in the group differently to the health professionals.
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Instead, the data lie on a line that extends from a point consistent with a hybrid of atmospheric xenon and xenon of crustal origin.
A statistical error analysis has been performed to test the model, which indicated that approximately 88% of the data lie within a ±10% error interval.
The highest uncertainty noted was for the minimum coefficient where 90% of the data lies between about +0.1 16% of the coefficient and −0.1+25% of the coefficient.
From Fig. 4d, it is evident that the majority of the data lie below the (C_{text{sm}}^) = 1.0 line.
From Fig. 4c, it is evident that most of the data lie below the (C_{text{sm}}^) = 1.0 line.
A standard deviation implies that 15.6% of the data lie more one standard deviation above or below the mean.
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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