“highly significant”

Choice A 2 (Choice) × 2 (Music) ANOVA of the choice manipulation check revealed a highly significant Choice main effect, F (1, 111) = 46.49, p < .001, η 2 = .295.

In general, the markers were distributed homogeneously along the chromosome as indicated by the highly significant correlation (r 2 = 0.95, P < 0.001) between segment size and number of markers.

Mixed-effects regression The Time × Group interaction was highly significant (B = 2.46, p < 0.001), confirming greater practice gains in the intervention group (+4.24, p < 0.001) vs. controls (+1.78, p < 0.05).

The body ecotype showed highly significant differences (p < 0.001), with a predominance of the longilinear biotype in males (86.1%).

Log-rank (Mantel–Cox) testing indicated highly significant differences between groups ( χ 2 = 83.260, P < 0.001; Supplementary Table 2 ).

In contrast, the ER/MT enriched fractions (#7 and #8) that display low detectable PrP res levels, contained high infectivity levels similar to the lipid raft enriched fractions, with the discrepancy at fraction #8 highly significant (p < 0.001; two way ANOVA).

Data analysis revealed highly significant seasonal variations (P< 0.001).

In contrast, anorexia was exclusively observed in the benign group (54.5%) and absent in the malignant group, with a highly significant difference ( p < 0.001).

All of these correlations were highly significant ( p < .001).

VEGF A & TGF β1 measured in arbitrary units (AU): Both growth factors showed highly significant scores in the CTG immersed in i-PRF analyzed in the CTG + i-PRF group, compared to the CTG alone from the CTG group ( P -value < 0.001), with large effect sizes for both growth factors suggesting a substantial magnitude of difference in growth factors expression between groups ( Table 5 ).

The increased occurrence of positive p21 expression in the hypoxic group was highly significant (p<0.001).

There was a highly significant main effect of Time ( p < 0.001), confirming that hemi‐mMASI decreased significantly during follow‐up in both treatment modalities.

However, on the larger external Kaggle dataset ( n = 693), the differences between the ResNet + DenseNet ensemble and the individual models were highly significant: compared to ResNet50V2 ( Z = 4.816, p < 0.001) and InceptionV3 ( Z = 8.042, p < 0.001).

The main effect of block was highly significant on both Day 1 ( F 5,140 = 7.56, p < 0.001) and Day 2 ( F 5,140 = 6.57, p < 0.001), indicating that, as expected, freezing decreased across extinction trials.

Results: At the third time period (40–60 min), there were no significant differences in clot sizes with the original protocol ( P = 0.09), but a highly significant difference was noticed with the modified protocol in both the centrifuges ( P = 0.001).

The negbin variant of count models was used as the estimated alpha parameters were greater than zero (0.185; 0.075) and highly significant ( p < 0.001; p = 0.003), and both dependent variables had a low number of zero observations.

As shown in Table 5 , the results of testing the hypotheses regarding the correlations among factors influencing learning resilience are as follows: academic self-efficacy and perceived campus belonging exhibit highly significant correlations with learning resilience at the P < 0.001 level; learning climate shows less significant correlation with learning resilience at the P < 0.05 level; Social relationships and learning resilience exhibit a significant correlation at the P < 0.01 level; however, the relationship between learning environment and learning resilience is less significant at the P < 0.05 level.

However, when the LNR with a cutoff value of 0.2 was included as a covariate in the model, the LNR was highly significant (p<0.001), and the pN stage lost its significance (p>0.05).

The test for subgroup differences was highly significant (chi 2 = 10.62, p = 0.001; I 2 = 90.6 % ).

Highly significant correlations (Pearson and Spearman’s, p < 0.001; Fig. 1 D) were observed between SF4 values calculated from confluence measurements and cellular viability assays, validating the reproducibility of these high-throughput methods.

There was a highly significant interaction between Run Length and Reference bp ( F 5, 8865 = 11.02, P < 0.001; fig. 1 A ).

Moreover, the multiple regression analysis in Table 3 shows a highly significant positive association of only duration of T2D with DR (p < 0.001) while no association between DR and HTN, currently smoking, uncontrolled T2D, age, and total cholesterol was noticed in contrary to the findings in the univariate regression.

The clusters at the T8, Fz and Cz sites showed a highly significant difference ( p = 0.001), ( p = 0.003), and ( p = 0.001), respectively, at around 250 ms and the T7 site showed a less significant cluster ( p = 0.008) at around 250 ms for the between-group comparison.

Both of these genes have less variation within populations than FuHC (81.2 and 27.16%, respectively), and both have highly significant Fst values ( p < 0.001).

The analysis result for the whole model was highly significant ( p < 0.001).