“highly significant”

Statistical significance levels P > 0.05 (ns) for not significant, P < 0.05 (*) for significant, P < 0.01 (**) for highly significant, and P < 0.001 (***) for very highly significant.

A paired-samples t-test revealed a highly significant increase in participant knowledge, t(162) = 14.79, p < 0.001, with an average improvement of 1.1 points (SD = 0.88) between pre- and post-test scores, corresponding to a 22% increase in the average score.

Under LN stress conditions, these genes show varying degrees of up-regulated expression, with GmPLDα1/2/3/4/5 , GmPLDβ1/2/3/4 , GmPLDδ2/4/6 , GmPLDε1 , GmPLDγ1 , GmPLDφ1/2 , and GmPLDζ2/3 demonstrating highly significant induced expression ( p < 0.001).

We found a highly significant positive correlation between CD4/CD25% and FT3 ( r = 0.791, p = 0.001).

The SNP at the FABP3 gene was recognized as a robust candidate marker for Jersey milk production, demonstrating highly significant associations in the assessment of TDMY ( p < 0.001), 305-DMY ( p < 0.001), and 305-DFY ( p < 0.001).

According to the results, ULBP3 was a highly significant independent predictor for TC ( P < 0.001), controlling for the effect of age and gender (odds ratio [OR] =1.049 and 95% confidence interval ranged from 1.028 to 1.071, P < 0.001) [ Table 4 ].

Collaboration demonstrated highly significant and positive associations with its subscales: Cooperation (r = 0.780, p < .001), Partnership (r = 0.710, p < 0.001), and Coordination (r = 0.704, p < 0.001).

The Chi-squared test showed a highly significant difference across ethnic groups (χ 2 =123.165; P≤0.001).

Among derived ratios, PLR showed a highly significant difference between groups (149.72 ± 75.93 vs 78.03 ± 28.95, P = .001), and the effect size was large (Cohen’s d = 1.35, 95% CI: 0.76–1.94), indicating a strong discriminatory potential.

The likelihood ratio test was highly significant ( P < 0.001), confirming the overall model fit.

The blue module exhibited a highly significant positive correlation with ASA ( P < 0.001) and significant correlations with Pro and H 2 O 2 , while the turquoise module showed significant negative correlations with ASA and H 2 O 2 ( P < 0.001) and Pro ( P < 0.01).

Notably, Table 1 shows that tube voltage and tube current–time product exhibited highly significant differences between veterinarians and keepers (both P <.001), whereas the difference in Hp(10) was modest ( P = .006).

On comparing the three levels for intra-group comparison, there was a statistically highly significant (P-value ≤ 0.001) difference, primarily due to the difference between the 1 mm level (highest mean reduction) and the 5 mm level (lowest mean reduction).

Both interventions led to highly significant improvements in all domains of subjective well-being (emotional, psychological, and social) and the Total Subjective Well-being score from baseline ( p < 0.001).

Both word count and average sentence length differed significantly across sentiment categories (Kruskal–Wallis H -tests, p < 0.001), with Dunn's post-hoc tests revealing that all pairwise comparisons between Negative, Neutral, and Positive posts were highly significant ( p < 0.001).

Notably, a highly significant association was found between HPV status and surgical intervention ( p < 0.001).

With respect to differences between the processes, there was a highly significant statistical difference ( p < 0.001) observed for both total lipid content and total biomass.

One-way ANOVA revealed highly significant treatment effects for all cell lines and time point combinations ( p = 0.001), with F-statistics ranging from 33.3 to 742.1 ( Table 2 ).

Kruskal–Wallis analyses revealed highly significant differences among species for all traits ( p < 0.001).

The results indicate a highly significant difference in the proportion of animals in estrus between the two groups ( p ≤ 0.001).

Notably, AlTPS1 and AlTPS40 demonstrated a highly significant positive correlation with Gansongone (P < 0.001).

Relative water content Analysis of variance showed highly significant effects of cultivar and treatment on RWC, with a strong year × cultivar × treatment interaction ( P < 0.001, Table 1 , Fig. 2 ), confirming RWC as the most drought-sensitive parameter.

The non-parametric Friedman test yielded a highly significant result ( p < 0.001), indicating that the ICC values varied notably between the Original Images, Histogram Equalization, Standard CLAHE, and Advanced CLAHE methods.

Remarkably, the validity of such a finding can also be questioned, despite a highly significant z-value (z = 33.346, p < 0.001).

Mycobiont identity emerged as the primary driver, with a highly significant effect ( F = 27.94, p < 0.001).