“highly significant”

The comparison between groups gave highly significant differences (ANOVA P < 0.0001****).

The overall mean scores showed a highly significant ( p < 0.0001) improvement in the post-test scores of all the participants compared to their pre-test scores with a mean difference of 25.5 ± 14.7% between pre- and post-test scores.

Analysis of variance (ANOVA) demonstrated excellent model fit for the crude enzyme system, with a determination coefficient (R 2 ) of 0.9878, adjusted R 2 of 0.9721, and a highly significant model F-value of 62.93 ( p < 0.0001), as detailed in Table S2 .

Treatment with cell-free supernatant from LSSA01 resulted in a robust increase in phagocytosis, reaching 286.1 ± 28.6%, which was highly significant compared with the control ( p < 0.0001).

Single bean gum application decreased HPV viral load in untreated salivary samples 86–95% and results were highly significant ( p -value < 0.0001).

Specifically, Table 2 highlights the highly significant impact ( p < 0.0001) of yeast extract concentration (Factor B) and several interaction terms (AB, AC, BC) on HA yield.

Global P -values were highly significant ( P <0.0001) for all models, confirming their robustness.

In sunn hemp, BACIII treatment induced a highly significant increase ( p < 0.0001) in all pigments compared with both controls ( Figure 8 ).

Strong and highly significant positive correlations were observed between IVS volume and both gestational age (Pearson’s r = 0.891, p < 0.0001; Spearman’s ρ = 0.920, p < 0.0001) as well as estimated fetal weight (Pearson’s r = 0.860, p < 0.0001; Spearman’s ρ = 0.927, p < 0.0001).

At the end of IFN-α therapy, 36 patients (47.4%) in 3-MU group and 103 (83.1%) had ETVR, the difference being highly significant (P < 0.0001).

The inhibition by Lr6127 CFS was highly significant for all three pathogen groups relative to the medium control ( p < 0.0001; Figure 1 A).

The regression model was highly significant, with an F-value of 76.68 and p < 0.0001.

In contrast, major statistical associations were identified between patient age and diffusion capacity, revealing a strong and highly significant inverse correlation ( ρ = −0.715, p < 0.0001).

Highly significant positive association was recorded with Wolbachia studies (β = 7.09, SE = 0.770, p < 0.0001, 95%CI [5.590, 8.607]) and significantly negative association (β = −2.772, SE = 0.864, CI [−4.466, −1.079], p = 0.0013) was recorded with samples size.

The results showed that there was a statistically highly significant difference among isolates in the percentage of mean germination (F=54.6; DF=14; P<0.0001).

When it comes to lRFS the Rome classification showed highly significant predictive value (p<0.0001 both at Log-Rank and Wilcoxon) with a notable progressively lower local control for each increasing T stage.

In the present study, untreated diabetic animals (Group II) exhibited a marked increase in water intake, reaching mean values of 31.2 ± 9.4 mL/day, compared to 10.8 ± 3.2 mL/day in the normal control group (Group I), the difference being highly significant ( p < 0.0001).

Conversely, the treatment caused a highly significant ( p < 0.0001) decrease in Pol, Tax, and HBZ expression with respect to the untreated control in PB2/NO-IL-2 cells.

The regression model was highly significant (F = 175.47, p < 0.0001), while the lack of fit was not significant ( p = 0.3775), indicating that the fitted quadratic model adequately described the experimental data.

The global correlation across all time points remained highly significant (ρ = 0.65, p < 10 −4 ).

This difference remained highly significant after formal statistical comparison (Mann–Whitney U test, p < 0.0001) ( Figure 7 ).

In the second cohort, the association was highly significant ( r = −0.60; P < 0.0001) ( Fig. 2 B ).

The ANOVA revealed a highly significant effect of ripening stage on GABA content ( F = 182.47; p < 0.0001).

Adding calcium was associated with a highly significant reduction in SLS prevalence from about 60% without supplemented calcium to 15% in high and medium calcium-supplemented treatments (P < 0.0001, Fig 2 , Table 1 ).

The model was highly significant ( p < 0.0001), while the lack-of-fit was not significant ( p = 0.9735), and the R 2 value was 0.9323, indicating that the model had good fitting and predictive ability.