(Table 6; P < 0.001 in both tested correlation combinations).
Overall, on an average the wild-type with rs = 0.76 (p-value < 0.0001) and the hrpX mutant with rs = 0.78 (p-value < 0.0001) were observed for the biological replicates from all the correlation combinations.
For each class of correlation combinations (saturated:saturated, saturated:unsaturated, unsaturated: unsaturated), the relative numbers of significant positive and negative correlations did not differ from a null expectation of equal numbers whether the data were analyzed by growing temperature or by lumping across growing temperatures (x, G-test, Fisher's exact test: q ≥ 0.842, BH-FDR ≥ 0.897).
For each class of correlation combinations (saturated:saturated, saturated:unsaturated, unsaturated:unsaturated), the relative numbers of significant positive and negative correlations did not differ from a null expectation of equal numbers whether the data were analyzed by growing temperature or by lumping across growing temperatures (x, G-test, and Fisher's exact test: q ≥ 0.298, BH-FDR ≥ 0.298).
Correlation between combination indices was evaluated using independent two-sided t-test using GraphPad Prism 5 software (La Jolla, CA, USA).
We first examined the distribution of each categorical variable by frequency and percentages and performed χ tests to identify correlation with combination of BMI and body size perception by sex.
Next, we performed analysis of variance (ANOVA) for continuous variables as total energy intake to identify correlation with combination of BMI and body size perception and to compare average and standard deviation of variables.
The rates leading to character combinations supporting a positive correlation (the combinations of gallinaceous/SΔNA and non-gallinaceous/full-length-NA) were subtracted from the rates leading to opposing character combinations (non-gallinaceous/SΔNA and gallinaceous/full-length-NA).
The correlations involved combination of artificial neural networks and dimensional analysis.
In this study, sensitivity analysis was performed to investigate the effect of mass transfer correlations in combination with kinetic models on the performance of an absorber column.
