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We calculated these two statistics for our data and compared these filters to IQS (Table 3).
For the NAM founders, cells in the L1 layer along the arc length were counted and the derived trait of average cell size (arc length divided by arc cell number) was calculated; these two traits were not examined in the other datasets due to an inability to reliably see cell wall boundaries in images from cleared tissue.
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To understand the value and rank relationships between p value, A-score and E-score we calculated these three values for each of the 47 elements.
Different optimization methods calculate these two values differently.
By calculating these two points, it can correct the data in between and gives us the size of the object.
First, the method to calculate these two parameters was described, afterwards, these two parameters would be used in the LCA model.
In order to calculate these two results, we use spatial distance coefficient N S and color space coefficient N C to normalize the distance value.
Table 5 shows that post-traumatic headache patients have higher SCAT-3 symptom and symptom severity scores than headache-free patients even when not including the headache symptom score when calculating these two SCAT-3 symptom scores.
However, measuring or calculating these two variables at the bedside remains difficult.
We calculate these two quantities using diffusion theory, by integrating the sojourn times of the allele over all frequencies.
We thus could only include those studies in the meta-analysis that reported sufficient information to calculate these two measures.
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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