Excerpts

graminis cultures were positively correlated with one another and very highly significant ( P = 0.00001) ( Table 2 ).

The combined effect for these inter-correlations was highly significant [Friedman ANOVA Chi Square ( N = 36, df = 2) = 72.00; p < 0.00001; Kendall Coeff. of Concordance = 1.0000 Aver. rank r = 1.0000].

However, the improvements in sleep were highly significant in Group A in the 2 nd week of drug intake ( P = 0.00001) [ Table 3 ].

The analysis revealed strong, highly significant LD (p < 0.00001) between HLA-A and the Class I loci HLA-C and the Class II loci HLA-DRB-1.

Correlation analysis showed a highly significant linear positive relationship (R 2 = 0.466; p < 0.00001) of plasmatic B4GALTs with age from infancy to centenarians (Figure 1A ).

A Monte Carlo simulation determined that this is a highly significant overlap (p<1 × 10 −5 ) and peak heights at shared ATAC and CATaDa peaks show significant correlation (p<1 × 10- 16 , r 2 = 0.138) ( Figure 2—figure supplement 2A ).

Indeed, when analyzing original single-cell time series data from the study reported by Yamaguchi et al (2003) , we also find a substantial (about threefold) and highly significant reduction of relative amplitude upon TTX treatment ( P <0.00001; Mann–Whitney test, one-tailed; n =78 for untreated cells; n =185 for TTX-treated cells; not shown)—very different from the effects of MDL on relative amplitude.

Interestingly, investigation of intragenic relationships between VastDB AS events reveals that pairs of cassette exons (especially in the case of neighboring exons) and pairs of retained introns within the same gene show highly significant correlation of inclusion or retention levels across samples from each species ( P < 10 −5 , Wilcoxon rank-sum test) ( Supplemental Fig.

The QIDS-SR scores after treatment were 2.2±2.3 (nondepressed range), and the difference from baseline was highly significant ( P <0.00001, Student’s t -test, one-tailed).

Phenotypic correlation Highly significant correlations were found between dormancy and GA 3 content in tubers ( P <0.00001).

All three two-way interactions between the main effects were found to be highly significant (p<0.00001), thus estimates and corresponding significance levels are not given for the main effects.

Subgroup analysis in smaller subgroups of patients, who were consistently AF/AT free (n=140 in PAF group, n=72 in LSPAF group) or consistently non–AF/AT free (n=48 in PAF group, n=28 in LSPAF group) across all annual assessments ( Figure 3 ), showed that baseline–to–3‐year improvement in QoL was highly significant in AF/AT‐free PAF and LSPAF patients (EQ‐5D: 9.6±14.4 and 10.4±12.8; EQ‐VAS: 7.0±14.5 and 11.5±13.5, respectively; all P <0.00001).

SNPs with a call rate lower than 0.9, a minor allele frequency higher than 0.005 and a highly significant deviation ( P < 10 -5 ) from the Hardy-Weinberg equilibrium, and SNPs that were not annotated (UMD3) on the autosomes or on the pseudo-autosomal region of the X-chromosome were excluded from the analysis.

Simple (paired t -) tests showed for the comparison of Fabrics 1 and 2 (the least and second least liked) a highly significant difference (t = -6.8, p < 10 -5 ), whereas Fabrics 3 and 4 (the second most and the most liked fabrics) were not significantly different ( t = -1.0, p > 0.1) and ratings for Fabrics 2 and 4 were just significantly different ( t = -2.3, p < 0.05).

Among the biological functions that showed highly significant (P < 0.00001) changes in fast muscle in response to exercise were muscle development, myogenesis, angiogenesis, cell cycle progression, mitosis, cytoskeleton organization, lipid oxidation, lipid synthesis and organismal growth (Additional file 2 : Table S2), with 143, 59, 230, 408, 172, 424, 81, 240 and 201 differentially expressed genes, respectively.

The chi-squared test yielded a value of 323.71 with four df, which indicated highly significant heterogeneity ( P < 0.00001), as demonstrated in the forest plot depicted in Figure 3 .

In both residue-level and protein-level assessments the improvement in performance of aaRNA over the alternative methods was highly significant ( P -values <10 −5 and <10 −10 , respectively).

However, supporting a direct, specific role for Fanca during SHM, we observed that the frequency of mutations at A/T residues was significantly reduced in Fanca −/− mice (P = 10 −4 ; Table 1 ), and this reduction was associated with a highly significant (P < 10 −5 ) decrease in the frequency of transitions at these sites ( Table 1 ).

In particular, the differences are highly significant on branch #1 and branch #2 during the genome reduction period (Student's t-test, P- value<10 −5 ).

The recovery of thigh atrophy was highly significant, with a p -value = 0.00001.

Total nitrogen (TN) percentage showed an increasing trend with composting duration ( Table 1 ; ANOVAR F 2,12 = 46.60, P = 0.00001) which is due to the concentration effect caused by carbon loss associated with mineralisation of the organic matter.

The difference in mean SUV between the combined control group and the IPF group were highly significant both for data uncorrected for TF (0.48 ± 0.14 versus 0.78 ± 0.24; Table 3 and Fig. 3 a; p < 0.00001) and for data corrected for TF (2.24 ± 0.29 versus 3.24 ± 0.84; Table 3 and Fig. 3 b; p < 0.00001).

Statistical result interpretation The one-way ANOVA test revealed a highly significant difference in AgNPs size among the four extract concentrations (F = 98.48, p < 0.00001), indicating that nanoparticle size is strongly influenced by extract concentration.

All p -values were highly significant ( p <0.00001, Table S2 ).

Association study Supplemental Figure s1 illustrates a highly significant correlation ( P = 0.001%) between grain filling rate and heat susceptibility index with grain yield.