“highly significant”

The genotype and phenotype effects were highly significant ( P = 0.001 and P = 0.004), explaining 35 and 9% of the overall variation in gene expression ( Table 2 ).

The differences were highly significant (p < 0.001) ( Table 1 , Table 2 ).

In contrast, vignette severity has highly significant direct, indirect, and total effects ( p -values < 0.001) on desire to call the police when mediated by perceived threat and controlling for vignette race.

Based on the p -values, the significance of model terms was classified as follows: non-significant ( p > 0.05), significant (0.05 > p > 0.01), highly significant (0.01 > p > 0.001), and remarkably significant (0.001 > p ).

When including precuneal Aβ slope and the interaction term (Aβ precuneus *∆Aβ precuneus ) in the model, the predictive power of baseline amyloid burden in this ROI became highly significant (β = −0.29, t = −3.7, P < .001), and both precuneus slope (β = −9.71, t = −2.2, P = .030) and the interaction term (β = 8.71, t = 2.6, P = .011) were marginally predictive of changes in MMSE.

Genetic differentiation of char from the two connected lakes PAL and TUN was, however, highly significant (P = 0.001) but very low (θ = 0.003, standardized (θ') = 0.014).

2 ) and found to be highly significant ( P < 0.001) in TMZ treated cells, compared to CTL cells.

Results from 2D FISH experiments using a pan-telomere probe indicated a highly significant difference in the telomere distribution pattern of the sperm nuclei of control and infertile cohorts (chi-square, p ≤ 0.001).

Statistically, feed rate had a highly significant effect on depth (ANOVA p < 0.001), and post hoc comparisons indicated that all pairwise differences between the three feed levels were significant (e.g., 1000 vs. 2000 mm/min, 1000 vs. 3000 mm/min, etc., each yielding depth differences on the order of several millimetres).

Genetic relationship of COVID-19 with other diseases By analyzing the GDA, we identified 19 highly significant ( p -value ≤ 0.001 ) diseases associated with up to 18 shared DEGs.

Higher and comparable percentage of wound contraction on excision wound healing model was observed in groups treated with 5%, 10% w/w hydromethanolic crude extract of Bersama abyssinica leaves and nitrofurazone 0.2% w/v at 12 th (90.58%, 93.73%, and 94.18%), 14 th (99.29%, 99.35%, and 97.05%), and 16 th (99.55%, 100%, and 100%) postwounding days, respectively, and was highly significant ( p < 0.001) compared with negative control.

The model was highly significant ( p < 0.001), and the R-squared was 0.89.

The Chi-square test indicates a highly significant association between the CYP2D6 genotype and the presence or type of MRI abnormalities in this cohort ( p -value < 0.001).

A two-way ANOVA showed that genotype, temperature effects and their interaction were highly significant ( p < 0.001) for all three traits.

There was a highly significant ( p < 0.001) enhancement in the BF permeation from BF-NLCs-opt and BF-NLCsopt gel than BF gel.

A Kolmogorov–Smirnov test showed a highly significant difference ( p ‐value ≤ .001, D ‐value 0.28) between the biomod2 oak probability rasters “filtered by area” and “filtered by area and elevation.” Figure 4 shows that forcing pixels into the elevation distribution of the NFI survey sample squares caused a low probability tail in the distribution compared with the area‐only filter.

However, there was a highly significant statistical difference on comparing ETT size estimated by height-based formula with age-based formula ( P < 0.001) as well as on comparing ETT size estimated by height-based formula and USG ( P < 0.001) [ Table 3 ].

Results for the model with 12 components are displayed, but even the simplest Partial Least Squares model with a single component yielded highly significant results ( r =0.83; P <.001; mean absolute error=1.62).

The McNemar test revealed a highly significant change in HKA angle categories following the intervention (χ 2 = 54.018, df = 1, p < 0.001).

Results were again highly significant, with past tense frequency (β = 15.35), regularity (β = −36.28), complexity (β = −4.65), and friends (β = −1.68; all p < 0.001) predicting indirect pathway activation ( R 2 = 0.557).

The areas under the curves (AUC) ranged between 0.63 and 0.78, which reflects fair to good classification boundaries, the P value was highly significant ( P < 0.001) in all groups and with narrow confidence intervals.

The absence of a time-dependent variation in the prevalence of COVID-19 symptoms is reflected by highly significant Spearman's correlations among all normalized GTS for all symptoms (all r ≥ 0.94 and p < 0.001), as reported in Table 1 .

The increased virus detection rate in the post-parturition period in comparison to the preceding 2 sampling dates, as well as the observed increase in virus concentration were statistically highly significant (analysis of variance [ANOVA], F = 24.7, p<0.001; χ 2 107.9, p<0.001).

This difference (MFI -2006 ± 325 AU, 95% CI [–2696, 1317]) was highly significant (p < 0.001).

Results Behavioral data One-way ANOVAs revealed a highly significant (p < 0.001) effect of load (low, medium, high) on reaction time (RT; F (2, 90) = 44.7) and accuracy ( d’ ; F (2, 90) = 70.5).