“highly significant”

The highly significant Group × Time interaction (p < 0.001) indicates divergent improvement trajectories favoring the intervention group.

It is remarkable that the expression of BMP-2 in the PLLA group reached a highly significant maximum after 8 weeks (p≤0.001) before decreasing again towards the end of the observation period ( Fig. 8b ).

Statistical analysis revealed a highly significant difference among the groups ( p = 0.001).

Here, we measured the ratio between CRP and platelet counts (vii); a highly significant negative association with survival was found starting at day 10 (r s = −.65, p≤0.001), more so than CRP values alone; a statistically significant difference between 14 day CRP levels in surviving versus non-surviving animals was confirmed in the current study (p<0.05).

The M0-M3 LRT was highly significant ( P <10 −3 ), and parameter estimates suggested very different levels of selection pressure ( ) for different classes of sites ( Table 3 ).

Residual covariances among latent variables The positive and negative dimensions of the GAAIS showed a highly significant negative residual association ( β = −0.432, p < 0.001), indicating an inverse relationship between the two: higher levels of positive cognitive attitudes toward AI were associated with lower levels of negative cognitive attitudes.

Both groups also exhibited highly significant improvement in aesthetic Likert-scale assessments following rhinoplasty ( P < 0.001).

The treatment effect was highly significant for the 0.25% UC781 in vivo treated biopsies exposed ex vivo to 10 4 TCID 50 virus ( p<0.001 ).

Pairwise comparisons between all time points revealed highly significant differences ( p < 0.001), indicating a continuous and significant decrease in the ODI score over time.

Similarly, a highly significant effect was observed for the sum of EAs ( F = 15.493, p < 0.001), suggesting a strong association between the regional factor and the accumulation of EAs.

Awareness of diagnosis was highly significant (p<0.001): more than half of those aware of their diagnosis (51.6%) expressed concerns, compared with 23.4% of those who were not aware.

Differences in gait, velocity and in stride length between the four investigated groups were highly significant, (analysis of variance [ANOVA]: P <0.001).

Influence of road, animal and weather on persistence time “All taxa ” The Cox model for the “all taxa ” data set (stratified by taxonomic group) was highly significant (P<0.001), and explained 9.9% of the variance in carcass persistence time.

The ANCOVA also revealed a highly significant effect of the covariate ( p < 0.001), i.e., leaf size, with respect to disease severity, sporulation severity, sporangia produced per leaf, and Pv DNA concentration in the DM lesions.

Exogamy Linguistic exogamy overall was highly significant (p = 0.001) and associated with high borrowing in the total sample.

Moreover, the accumulation of developmentally arrested satellite boutons at the dfmr1 50M null synapse was fully restored to control levels (control: 1.9±0.25, dfmr1 : 4.1±0.39, P ≤0.001; dfmr1 + minocycline: 1.83±0.30, n =12), a highly significant effect ( P ≤0.001; Fig. 1B,D ).

A p -value ≤ 0.05 was considered statistically significant, and a highly significant difference at p -value < 0.001.

A two-way ANOVA indicated that CA and CS exerted extremely significant main effects on solubility ( p < 0.001), and a highly significant CA × CS interactive effect was also detected ( p < 0.001).

The difference between fractured and stabilized ribs was highly significant, as shown in Figure 4 : p < 0.001, (95% confidence interval 3.461–4.354).

While there were no significant main effects for feeding paradigm ( χ 2 (2) = 0.58, p = 0.746) or light cycle ( χ 2 (1) = 0.29, p = 0.589), we observed a highly significant three-way shift x feeding x light cycle interaction ( χ 2 (40) = 184.86, p < 0.001), indicating that the impact of circadian disruption on body weight was dependent upon both the specific feeding regimen and the cumulative duration of the intervention.

The overall multivariable model was highly significant (Likelihood ratio test p < 0.001), indicating a strong predictive relationship between the included factors and CPV‐2 positivity.

Overall, the model was statistically highly significant ( p < 0.001) and explained 92.1% of the total variance (R 2 = 0.921, Adjusted R 2 = 0.918).

Bartlett’s test of sphericity resulted in a highly significant p value of <0.001, providing evidence for the interrelatedness of the variables and justifying the utilization of factor analysis.

In the analysis of normally distributed variables (SP, GAD, total anxiety, and total internalization), all inter-subdimension correlations were positive, strong, and highly significant (ρ between 0.587 and 0.979; p < 0.001), with the near-perfect relationship between total anxiety and total internalization standing out (ρ = 0.979, expected given their overlapping composition).

This difference was highly significant according to both the paired Student’s t -test ( p < 0.001) and the Wilcoxon signed-rank test ( p < 0.001).