“highly significant”

Despite the low KMO, we proceeded with the exploratory hierarchical cluster analysis because Bartlett's test of sphericity was highly significant ( χ 2 = 18,324, p < 0.001), indicating that there were non‐random correlations among at least some variables in our cohort.

However, the analysis did show a highly significant (p<0.001) negative correlation between SerpinB2 and T-bet mRNA levels ( Fig. 3B ).

Comparisons between the three macronutrient groups at three temperatures for GLP-1 values were highly significant (Kruskal–Wallis H, ANOVA, P ≤ 0.001).

All comparisons (pooled values for all categories) were highly significant ( p < 0.001) with moderate effect sizes.

The Kaiser–Meyer–Olkin measure of sampling adequacy was 0.73, which is above the recommended value of 0.60, and the Bartlett’s test of sphericity was found to be highly significant (Χ 2 = 1.830, p < 0.001).

For MsbZIP79 , the upregulation was highly significant ( p < 0.001); however, it was not the same for MsbZIP222 .

Notably, the dosage of BOF slag demonstrates highly significant effects (P<0.001), and the combined use of the Sasobit modifier and BOF slag synergistically enhances the high-temperature deformation resistance of WMRA mixtures.

Notably, this cut-off also provided the strongest separation of Kaplan–Meier survival curves, with a highly significant log-rank test ( p < 0.001).

With respect to the valence ANOVA there was, unsurprisingly a highly significant effect [ F (1, 60) = 178.87, p < 0.001].

Correlation analysis of quantitative traits Correlation analyses revealed varying degrees of association among oat traits in both cultivation regions, with most trait correlations reaching highly significant levels (P<0.001, Figure 3 ).

Moreover, A highly significant reduction in the mean total number of hepatic and intestinal egg loads was observed on comparing the immunized infected group to the infected control group ( P <0.001), with PR of 81.3% and 80.8%, respectively ( Table 1 ).

Bartlett's test yields a highly significant result at a significance level of p < 0.001.

The mean values revealed a highly significant deviation ( p < 0.001) that was calculated using the Welch ANOVA.

Highly significant ( P < 0.001) correlations between treatments were observed for the length traits leaf length, plant height, root length and both ratio traits.

However, both the RNFL and the GCL/IPL demonstrated a highly significant negative correlation with the INL (r= -0.61, p<0.001 and r= -0.44, p=0.007 respectively).

Regarding titratable acidity, black teas had markedly higher values (median = 1.40 mM/L) compared to oolong (0.56 mM/L), green (0.80 mM/L), and white (0.64 mM/L) teas, with differences highly significant across all comparisons ( p < 0.001; Figure 1 B).

As predicted, WST-1 reduction within this isolated sperm population generated highly significant correlations ( p < 0.001; R 2 = 0.69) between WST-1 reduction and motile sperm count ( Figure 3 A). 3.7.

Group comparisons between TFC subgroups (early, moderate, advanced) revealed highly significant differences in stride time CV ( p < 0.001, d = 1.601), stance time CV ( p = 0.002, d = 1.214), swing time CV ( p = 0.001, d = 1.347), stride length CV ( p = 0.010, d = 0.935), and gait velocity CV ( p < 0.000, d = 1.613).

The measurement loadings for all latent variables are moderately high to high (range: 0.617–0.92) and highly significant ( p < 0.001) (see Appendix I ).

In particular, the general additive model (GAM) analyses show a highly significant temporal variation in rate (χ 2 = 40.15, df = 9, P < 0.001, adjusted R 2 = 45.8%, deviance explained = 12.8%) with a model in which the diversification rates trends receiving more support than one in which it steps suddenly (evidence weights = 0.9931 and 0.0069, respectively).

There was a highly significant association of AMACR overexpression with p16 positivity in HPs (p < 0.001; Table 5 ).

The Rosenberg Self-Esteem Scale (RSES) showed highly significant positive correlations with perceived self-value ( r = 0.500, p < 0.001) and confidence ( r = 0.556, p < 0.001) while correlating negatively with concern ( r = −0.280, p < 0.001).

The RDA shows a highly significant and strong relation between the species and biometrical descriptors (test on all axes pseudo-F = 35.9, p = 0.001, adjusted explained variation is 80.72%).

A repeated-measures ANOVA on mean reaction times with context (interleaved, blocked) and target location (left, right) as within-subject factors revealed a highly significant main effect of context ( F (1,17) = 248.257, p <.001), no effect of target location ( F (1,17) = 0.197, p = .663), and no interaction ( F (1,17) = 0.007, p = .933).

Furthermore, highly significant differences were found when seroprevalence was compared between the uphill and valley residents in both seasons (dry season χ 2 = 33.78, df = 1, p < 0.001, rainy season χ 2 = 69.96, df = 1, p < 0.001).