( Table 3 ) An older age was a highly significant positive factor for abstinence (p<0.0001).
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Correlation coefficients ( Table 4 ) among environments for disease severity were highly significant and ranged from moderate to high ( r = 0.54 to 0.90, P < 0.0001 ).
This corresponded to a highly significant difference in both cold episodes and episode days of 61.1 and 72.9 % respectively ( p < 0.0001).
Drone mortality followed a similar trend as in experiment 1 with a strong trend toward higher mortality among the control treatment ( χ 2 1 = 47.0; p < 0.0001) driven by strong differences in mortality among control sources ( χ 2 2 = 84.3; p < 0.0001) rather than treatment sources ( χ 2 1 = 1.3 × 10 −30 ; p = 1) and a clear confounded factor of near total mortality of a single control source (Fig. 2d ).
θ ST [ 45 ] among all populations was moderate but statistically highly significant (0.069, p < 0.0001; temporal samples from the same populations were pooled).
Reproductive modes, body size, and fecundity After controlling for phylogenetic nonindependence among of the species studied, the results of the PGLS analysis were highly significant ( r 2 = 0.3, F 3,57 = 8.025, p = .0001).
did not reach statistical significancep < 0.0001
Although the changes between individual phases (T1 through T5) did not reach statistical significance, the main effect of experimental phase was highly significant ( p < 0.0001).
On meta-regression analysis, the combined impact of all covariates in the model explained at least some of the variance in effect size (Q = 16.21, df = 6, P= 0.0127), and the proportion of variance explained by covariates on comparing the model with and without the covariates was 73 % and highly significant (Tau2 = 0.1100, Tau = 0.3317, I2 = 86.5%, Q = .99, df = 10, P<0.0001) (R2 = 0.73).
For each of the other nine questions the overall difference between age groups was highly significant (all p<0.0001) as was the test of linear trend (all p<0.0001).
Whole leaves on intact branches were cropped on <1% of occasions, but 47% of bites cropped from despined branches removed entire leaves; this was a highly significant difference (Chi‐squared test: X 1 2 = 283.13, p < 0.0001).
Bats that were associated with the (bushmeat) value chain were more frequently positive for coronavirus RNA (25.4%) than bats sampled at other human animal (peri-domestic) interfaces (5%), and this difference was highly significant (p < 0.0001).
Furthermore, both STED experiments showed, for all cell lines, a highly significant difference from the positive control ( p < 0.0001) using Fisher’s exact.
Furthermore, in all four regions, pairwise comparisons (Dunn’s test) of the frequency distributions of TBA values among locations with defoliation, mortality, or no damage showed highly significant ( p < 0.0001) differences between the three groups (Fig. 5 , Table 2 ).
The differences were highly significant ( p < 0.0001). 3.4.
Both cell lines exhibited a marked decline in cell numbers for each siRNA relative to the negative control (Figure 5a and 5b ), along with a highly significant increase (3.9 fold; P < 0.0001) in the late apoptotic cell fraction assessed by FACs analysis of an annexin V staining assay (Figure 6a and 6b ).
The chi-square test showed that there was a highly significant overall change in the pre- and post-test responses ( **** p < 0.0001).
This was confirmed by the Kolmogorov-Smirnov (KS) test for the slopes, which showed no significant difference between the empirical CDF of the RoPs and the estimated exGaussian distribution ( P = 0.108), but a highly significant difference with the estimated Gaussian distribution ( P < 0.0001).
We obtained highly significant differences ( P < 0.0001), indicating a clear batch effect.
The outcome yielded a highly significant main effect of Negative Information [ F (1,76) = 18.29, p < 0.0001; effect size, eta squared η 2 = 0.29].
The MET group demonstrated a highly significant decrease in CFUs compared with CT and DEX (p < 0.0001).
The association of duration of use remained highly significant for moderate or greater AR ( p < 0.0001) but the association with moderate or greater MR did not reach statistical significance ( p = 0.09, one-sided) while the trend for moderate or greater TR remained statistically significant ( p = 0.007, one-sided).
The genotypic variance for all the traits during both the seasons was highly significant ( p < 0.0001).
When the tested populations were compared at the highest dose of idebenone (0.5 μM), the differences between NSC [130% (±4.40)] versus NP [103.81% (±2.45)] and eNP [138.19% (±10.78)] versus NP [103.81% (±2.35)], were highly significant (####; p < 0.0001).
Two-way ANOVA statistical summary demonstrated that the clinical status had a highly significant impact on these levels (F (1, 36) = 26.59, p < 0.0001).
Firstly, using geographic origin as a trait, a highly significant association was found ( AI = 8.8954, P < 0.0001; PS = 69.3392, P < 0.0001) ( Table 2 ).