“highly significant”

The correlation between the BNSS total and the GAF total remained highly significant ( r = -0.62, p < 0.001).

In contrast, there was a highly significant 21.1% difference between mean (±SD) TM-VO 2pred and HRI-VO 2 (8.12±1.85 METs and 6.71±1.92, respectively; p<0.001).

During 7 days of observation, IL-6 levels had 2 peaks of highly significant increase at 0.5 hours (43.57 ± 5.28, p<0.001) and 120 hours (24.08 ± 2.69, p<0.001 compared to control (5.44 ± 0.95 pg/mL).

An ANOVA with socio-economic level and sex as independent variables and intrasexual competitiveness as the dependent variable showed a highly significant main effect of socio-economic status, F (2,1629) = 17.96, p < .001, partial η 2 = .022, no effect of sex, F (1,1629) = .21, p = .64, partial η 2 = .0001, and a significant interaction between sex and socio-economic status, F (2,1629) = 3.92, p = .02, partial η 2 = .005.

School public areas also highly significant for both Portuguese and Mathematics [ χ ( M ) 2 = 25.83, p < 0.001; χ ( P ) 2 = 28.18, p < 0.001].

Pearson’s and Spearman’s correlation value (r) between TSLP and PASI score was 0.86 which was very highly significant ( P < 0.001).

Statistical analysis confirmed that the influence of fiber content on both absorbed energy and efficiency is highly significant ( p < 0.001), with all pairwise comparisons validated by Tukey’s test.

PERMANOVA was highly significant on both PCA scores (pseudo-F = 12.3, p = 0.001) and PLS-DA scores (pseudo-F = 70.4, p = 0.001).

Statistical analysis Difference between groups was analyzed by applying the one-way analysis of variance (ANOVA) with Tukey’s test (P < 0.05 as significant, P < 0.01 as highly significant, P < 0.001 as very highly significant).

The rankings of mesophyll cell size by layer were highly significant (Friedman test statistic value = 78.52, p < .001, n = 32) showing that this pattern was strongly conserved.

The results indicate that Cu, Pb, Zn, and Cd exhibit a highly significant positive correlation (* p < 0.001) with high correlation coefficients, suggesting that these four elements share similar environmental behavior and anthropogenic sources.

Post-hoc analysis showed a highly significant decline from the decade 1981–1990 compared to all later decades, with the most significant peak compared to the decades 2001–2010 and 2011–2020 ( p < 0.001) (Table 1 )(Fig. 3 C).

Statistical tests indicated a highly significant correlation ( P < 0.001) between the exponential growth rate and the length of cumulatively deleted genomic sequences in all three nutritional conditions ( Fig. 2 A).

Inter-quartile ranges were non-overlapping, and the group difference remained highly significant (Mann–Whitney U = 55.0, P < 0.001) [ Table 2 ; Figure 1 ].

A scatter plot depicting gene significance (GS) versus module membership (MM) for the blue module revealed a highly significant correlation (correlation coefficient =0.93; P=0.001), indicating a potential functional role for genes in the blue module in ICD ( Figure S1B ).

However, the effect of variety on fresh weight was highly significant (p < 0.001), indicating that background genetics played a stronger role than salinity treatment on fresh weight.

Data from six animals revealed mean peak MRI signal changes of 5.3±0.9% during wtCGRP injection, compared with changes of 1.2±0.1% during injection of aCSF alone; the difference between wtCGRP and vehicle was highly significant ( t -test P =0.001).

In terms of the mean thickness of the thyroid follicle epithelium, the highest values were measured in C group (6.44 μm), followed by E3 group (6.28 μm), then E2 group (5.8 μm), and finally E1 group (5.01 μm), both E1 and E2 diets showed highly significant differences (p<0.001 for both), whereas E3 showed no effect (p>0.4).

Farmers’ expectation of storage root yield were most commonly high for new gardens and low for old gardens with differences between garden ages very highly significant ( P < 0.001) ( Fig. 4 ).

Highly significant interactions between dietary protein and B. subtilis probiotic levels were observed for FBW, WG and SGR ( Table 3 ; P < 0.001).

The Kaiser‐Meyer‐Olkin (KMO) measure of sampling adequacy was 0.847, and Bartlett's test of sphericity was highly significant ( p < 0.001), confirming the appropriateness of PCA for this dataset.

PERMANOVA analysis showed highly significant differences in the composition of fish assemblage (p = 0.001) for the factor Depth and pair-wise tests revealed that these differences were always significant except for the comparisons between the two deeper layers (101–150 vs 151–200; p = 0.241).

In the MIC cumulative logit models, a moderate but significant (p<0.01) decreasing time trend was observed for A, C, F, O and Sp (for MICs above 16 μg/ml), while a highly significant (p<0.001) increasing trend was obtained for the E data ( Table 2 ).

Association of mutation type with tumor stage A highly significant association was observed between the genetic category and the tumor stage at diagnosis ( P = 0.001, Chi-square test).

This value was highly significant (p < 0.001).