“highly significant”

The linear mixed model test indicated highly significant effects ( p < 0.001) in genotype x environment interactions for all the parameters (Table 2 ).

Statistical significance was determined as follows: p > 0.05 (nonsignificant, ns), p ≤ 0.05 (significant, *), p ≤ 0.01 (highly significant, **), p ≤ 0.001 (extremely significant, ***), and p ≤ 0.0001 (extremely significant, ****). 3.

At 12 and 24 months, this was highly significant for both scores ( P < .001) based on the pre-operative value.

The highly significant values of genetic differentiation tests (K s *, K st *, and Z*) for both genes ( p < 0.001) suggest that these groups are genetically distinct.

The difference in change detection when paired with easy or hard search was highly significant, t (23) = 12.81, p < 0.001.

While there were no detectable differences in the numbers of visits according to age prior to the COVID-19 pandemic ( p = 0.780), highly significant differences emerged during the event ( p = 0.001).

Thus we observed a highly significant (p<0.001) shift in COX-2-expressing cells from the villi to the crypt region after LGG exposure in WT mice.

Between treatments, concentrations of both ions increased in roots under salinity; while the increase was marginally significant ( P = 0.07) for sodium, possibly due to low Na + concentrations in higher root orders, the increase in chloride concentrations was highly significant ( P <0.001; Supplementary Table S1 ).

P-Response Subgroup Statistical Analyses For this subgroup of infants, the amplitude differences over the P150–250 region were highly significant, F (1,10) = 29.307, P = 0.001, partial η 2 = 0.746, and observed power = 0.988, but not significant over the N250–550 time window ( P > 0.05) ( Figure 2 ). 3.2.2.

A prespecified linear frequency trend (placebo < 2× < 3×) was highly significant (F = 11.8, p = 0.001).

Multivariate regression analysis in our study highlighted the presence of ITBL as a highly significant independent risk factor for infection development compared to the presence of only a singular anastomotic stenosis (OR 4.51, p < 0.001).

Permutational Multivariate Analysis of Variance (PERMANOVA) tests supports the results of the cluster analysis and differences between clusters are highly significant ( p < 0.001).

Among all participants who reported experiencing aggression, the majority attributed it to clients (78.7%, n = 328), with a smaller share involving colleagues and supervisors (21.3%, n = 89), a difference that was highly significant (χ 2 = 77.9, p < 0.001; Table 3 ).

As aEEG time to normal trace has been shown to be a significant outcome predictor in previous studies, we also found a highly significant correlation between aEEG and short-term MRI outcome in our study ( p < 0.001, r 2 = 0.242).

Pearson's chi-square test ( Table 4 ) found no significant variation in anxiety with age or sex, but a highly significant correlation was noted between academic performance and levels of anxiety (P < 0.001 * ).

Furthermore, the differences pre-COVID-19 and during the initial COVID-19 response for other consultation methods were all highly significant (p<0.001).

Planned pairwise comparisons between agents (Int-Rnd, Art-Rnd, Int-Art) were reported as highly significant ( p < 0.001) or significant ( p < 0.05).

The correlations between the WMH (total and deep frontal) ratios and the Scheltens (total and frontal) scores were highly significant (Spearman's rho 0.838 and 0.839, respectively, p < 0.001).

As shown in Table 4 , there was a highly significant difference ( p < 0.001) in the availability of dairy farm infrastructure, dairy cow health and extension service delivery, farm hygienic condition and waste management practices, and farm reproductive performance.

This enrichment was statistically highly significant (two-way ANOVA, P<0.001).

Among patients with well-differentiated carcinomas and a Ki-67 index ≥2%, having a nuclear survivin level of >5% showed a tendency toward being a significant negative prognostic marker ( P = 0.08), and a cutoff of <50% or >50% rendered a highly significant difference in survival ( P < 0.001) (Fig. 4 ).

Component 5 revealed a highly significant difference between the three affiliation categories (GLMM: F 2,1291 = 12.368, p ≤ 0.001) when corrected for the other two fixed factors, kinship and sex relation.

Patients with depression after PAO showed a highly significant negative correlation with SF-36 by Pearson correlation (p < 0.001).

Our data showed a highly significant negative correlation between hypervolemia and IVVCI (p < 0.001).

The difference in IC50 between laboratory 12 (45) and the other PSV laboratories (1284) was highly significant (p<0.001, paired t-test) while the difference between lab 12 and the laboratories performing PBMC assays (36) was not (p = 0.29) ( Figure S3 ).