“highly significant”

The chi-square test showed a highly significant correlation between the presence of HAP and a serum PCT value of ≥ 0.095 ( p < 0.001) (Fig. 3 A).

While in the group BH100 a relative ECL of -9.69 ± 4.81 (± 2.52) % was not significant ( p = 1.000) when compared to the control group, the groups BH125 (-19.44 ± 7.30 (± 3.82) %) and even more BH150 (-21.99 ± 6.70 (± 3.51) %) both suffered a highly significant increased relative ECL ( p < 0.001).

This was found to be highly significant P < 0.001.

The results for all four flotillin siRNAs used showed a statistically highly significant ( p < 0.001) difference to the controls.

Interestingly, the ERCC2‐TP53 interaction was highly significant also in SNPsyn analyses (FDR <.001 and p < .001), thus indicating a consistent association across methods of this SNP‐SNP combination with longevity.

The difference between these two ranges is illustrated in the cumulative frequency histogram of Figure 5A and is highly significant ( p < 0.001, paired t -test).

This separation was highly significant for root metabolites (PERMANOVA, p = 0.001) and significant for leaf metabolites (PERMANOVA, p = 0.012), but not significant for metabolite ratios.

Of all the pairwise correlations, 31% were highly significant ( p value < 0.001).

Differential component analysis identified 38 compounds with significant differences ( p < 0.05), including 24 compounds that showed highly significant variation ( p < 0.001) (Table S2).

However, when analyzing FLACC scores during the delivery of LA, a highly significant difference ( P value <0.001) was evident between the 2 groups.

We found highly significant signs of positive selection within primates ( p < 0.001), with an estimated 42% of codons showing a d N / d S ratio of 2.90.

The peel‐off method consistently outperformed both the activity and deflation methods with highly significant differences ( P < 0.001 for peel‐off vs . activity; P < 0.001 for peel‐off vs . deflation).

With respect to antioxidants parameters, total phenolic content exhibited the highest positive significant correlation with FRAP ( r = 0.37, p < 0.05) and highly significant negative correlation with DPPH ( r = −0.61, p < 0.001).

The difference is highly significant in favor of ESM (Mann‐Whitney U = 1959.5, P < .001).

For the second truss, bif was less branched when exposed to lower temperatures up to and including the third transfer (means of the first three transfers: cold=2.96 ± 0.22; control=4.07 ± 0.21), and the effect was inverted by the fourth and fifth transfers (cold=4.14 ± 0.55; control=2.01 ± 0.23), resulting in a highly significant treatment×transfer point interaction ( P <0.001; Table 2 ).

When comparison analysis was conducted, highly significant difference between two years ( p -value < 0.001) was identified.

The increase between these two timepoints was highly significant (93.4%, P < 0.001).

The difference is highly significant ( P <0.001).

The confidence interval 17.50–19.70 Mb of qSNC6 on chromosome 6 contains 100 SNPs within 25 genes and two candidate genes ( Os06g30390 and Os06g30440 ) were highly significant with −log 10 ( P ) >3.

For amblyopic eyes in monocular viewing, the additional effect of amblyopic eye VA (0.14 D decrease in accommodative response per line of acuity loss, P < 0.001) was highly significant, as was the interaction between VA and accommodative stimulus (0.09 D of additional lag per diopter of stimulus, per line of acuity loss, P < 0.001), indicating that the increasing error with increasing demand was greater in the amblyopic eyes with poorer acuity (as shown in Fig. 2 ).

Results There was a highly significant increase in serum migration inhibitory factor and migration inhibitory factor mRNA levels in vitiligo cases when compared to controls (p<0.001).

Offspring size responded nonlinearly to temperature, as indicated by a highly significant effect of temperature squared in the linear model ( F 1,547 = 46.84, p < .001).

The majority of pairwise Φ PT values were highly significant ( P < 0.001) for the seven ( K = 7) clusters derived from nested analysis (Table 5 ).

When compared to the 3373 common targets of three B-ARRs, the percentage of overlap dropped to 35.4% which is still highly significant (Fig. 4b ; Fisher’s Exact Test p < 0.001).

This was confirmed in a frequentist analysis that showed a highly significant difference (t(22) = −6.488, p < 0.001, d = −1.353) and a Bayesian analysis that found very strong evidence for the alternative hypothesis (BF10 = 11,753.764).