To determine which excitation-emission pairs had the most variability between repeat measurements, we computed a measure of the variance for every excitation-emission pair.
To determine the effectiveness of whole body vibration on an outcome measure, we computed between-subject effect size as follows: effect size = ± ([mean post-value intervention group − mean post-value control group]/pooled variance).
To make a direct comparison between tasks measured in different units, we computed percent change in threshold before versus after training (although note that this approach is not without complication [ 13, 24]).
To that end we computed FST measures [ 34] between "modern" BBC and HF, BBM or "old" BBC.
In particular, we computed a distance measure between the language counselors use in positive conversations and the language counselors use in negative conversations and observed how this distance changes over time.
To analyze the characteristics of known indications further, we computed a distance measure between each of the known indication pairs in the human protein interactome (downloaded from NCBI's Entrez Gene [ 34]).
Pearson correlations between biochemical measures were computed and, being of an exploratory nature, are reported uncorrected.
Figure 7a,b depicts the comparison between measured and computed underground temperatures at measuring lances M1 (middle of the BTES) and M31 (margin of the BTES) of the 2-year validation run. Figure 7c,d depicts the comparison between measured and computed groundwater temperatures at groundwater monitoring wells GWM2a to GWM4a (20-m depth) and GWM2 to GWM4 (80-m depth).
To further investigate the association between manual and automated measures, correlations between measurement methods were computed for the left and right hippocampi and for the different segmentation quality groups, and are presented in Table 1.
The discrepancy between the measured and computed motive nozzle mass flow rates was analysed.
