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where V (ml) is the organ volume, and V reference is V of the reference subject (we used a 70-kg adult male and 58-kg adult female as the male and female reference subjects) [16, 17].
Since our method does not require a perfect voxel-by-voxel correspondence, but only an overall common position of each subject, we used a six-degrees-of-freedom linear affine transform that prevents deformation of the images.
For each subject, we used 4 random controls selected as described below.
To decide the optimal arthroplasty for each subject, we used our original surgical indications (Table 2).
To compare data collected from each subject we used the Pearson's correlation coefficient.
For each subject we used data from the first CSF analysis that could be merged with PET imaging data.
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Some of the teacher-participants were in agreement that the subject matter we used was effective in promoting critical literacy.
To control for the dependency of the observations from a single subject we use clustering to avoid that the t-values are extremely overestimated.
In order to measure the limb joint angles of the test subject, we use a Polaris Spectra optical tracking system (OTS) [ 60].
To better characterize the correlation between acquired alterations of RALYL to the neuroblastoma progression in clinical subjects, we used a commercially available human neuroblastoma tissue array (Cat. No. MC-602, US Biomax, Inc., Rockville, MD).
Indeed, as our protocol did not include the neuroimaging examinations for healthy subjects, we used the scans of healthy subjects of another protocol of our laboratory.
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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