“highly significant”

The χ 2 -test statistic value of 130 was highly significant (p < 0.001) when checking equality of proportions across the twenty-four possible permutations.

The GLMMs show that trapping method has a highly significant effect on the total number of nontarget saproxylic beetles captured (all feeding types grouped together) ( P = 0.001, R 2 = 0.79), as well as on the number of captured individuals of predator ( P = 0.001, R 2 = 0.73), saproxylophagous ( P = 0.001, R 2 = 0.87), phloeoxylophagous ( P = 0.001, R 2 = 0.84) and mycetophagous ( P = 0.01, R 2 = 0.93) feeding types of saproxylic beetle (Table 2 ; Fig. 5 ).

All 15 panelists recognized the omission model that excluded the entire group of esters (Model 1), revealing a highly significant difference ( p < 0.001) compared with the reconstituted sample.

The chi-square value for age was found to be 160.88, with a highly significant p-value <0.001.

An independent‐samples t test indicated that this difference was highly significant, t (40.37) = 3.53, p = .001, d = 1.11 (correcting degrees of freedom to account for unequal variance between groups).

P < 0.05 was considered significant (*), P < 0.01 was considered highly significant (**), and P < 0.001 was considered very highly significant (***).

The G -test for goodness of fit detected a highly significant deviation from a random distribution ( G (9) = 61.55; p < 0.001), with all but O 7 chromosome segments covered by inversions having a higher than expected number of genes.

Regarding vine row, only 5 variables selected by the RF model were significantly different between treatments, and TN was the only soil variable with a highly significant difference (F = 10.82, p < 0.001) (Fig. 3 C).

The Q test was highly significant (Q=460.2, df=41, P<0.001), and the I 2 of 94% indicated that a high proportion of variance in the observed effects was caused by heterogeneity in true effects compared with sampling error.

The difference was highly significant among all the three groups ( P < 0.001 among all groups).

Overall correlation between the two latent factors was r = -0.82, which was highly significant ( p < 0.001).

The prevalence of MetS in cases (53%) was statistically very highly significant when compared to the controls (17%) ( P < 0.001).

Supplementary Table 1 provides the changes in CBF, brain surface AC-ECoG power, scalp AC-EEG power and mean arterial pressure from baseline during middle cerebral artery occlusion (MCAO), which were statistically highly significant ( P < 0.001).

Strong evidence for a highly significant positive effect of urban area size on total crayfish microplastic concentration was found ( F = 232.832, p < .001; Figure 5 ), as well as significant evidence of a negative effect of crayfish length ( F = 5.548, p = .024).

Further, as Table 5 shows, the correlations between the levels of chlopryrifos, diazinon, and propoxur in maternal personal and indoor air samples were highly significant (Pearson r = 0.70–0.90, p < 0.001, Pearson correlation coefficient).

Association ASD severity and tuber count The association between the ADOS total severity score and total tuber count was highly significant ( β = 0.46, p < 0.001), and about 20% of the variance in the ADOS total severity score could be explained by the total number of cortical tubers.

When the DOX concentration was 175 ng/mL, there was a significant difference with the control group (p ≤ 0.05); when the concentration was 350 ng/mL, there was a highly significant difference with the control group (p ≤ 0.001).

Results Analysis of variance The combined analysis of variance (Table 2 ) showed that genotype (GEN) and environment (ENV) had a highly significant (p < 0.001) effect on all the studied traits, whereas the effect of genotype was significant on all the studied traits except for CT.

A highly significant linear trend in dose response was observed (F 1,995 = 29.65; p < 0.001).

The interaction term (shell size by population) was not significant (p = 0.24), and there was a highly significant effect of population on size-adjusted crushing resistance (F = 6.3, df = 18, 467, p < 0.001).

This difference in access by school type was highly significant ( P <.001; middle school OR 0.2, 95% CI 0.1-0.5, reference vocational high school).

For AQ scores, modality effects were highly significant ( H (4) = 43.48, p < 0.001; Figure 3b ), with post-hoc tests revealing significant differences between FA vs. rsFC ( p < 0.001), FA vs.

Specifically, the correlation coefficient between ATX and mGCIPL was −0.441, while the correlation coefficient with VD reached −0.569, and both negative correlations were statistically highly significant ( p < 0.001).

All parameters showed highly significant changes during the study (repeated-measures ANOVA, P < 0.001, except MAP, P < 0.01).

Therefore, the enrichment of wCNEs on chromosome X is highly significant ( p value < 0.001).