“highly significant”

There was a highly significant ( P < 0.0001) interaction effect between the temperature of storage environment and the storage duration on seed viability and germination.

Prediction power of the model is highly significant ( P < 0.0001).

Consistent with this, there was a highly significant correlation between the levels of anti-Sm near the time of biopsy and at the time of patient enrollment ( p < 0.0001) (Fig. 3 D).

Highly significant correlations (r > 0.97, p < 0.0001) between upregulated gene–metabolite pairs are shown in Figure 6 B, and downregulated pairs are shown in Figure 6 C.

Among the linear terms, only extraction time (X 2 ) was significant ( p < 0.0001), while all interaction (X1X2, X1X3, X2X3) and quadratic (X12, X22, X32) terms were highly significant ( p < 0.0001).

The differences between the medical disciplines were statistically highly significant (Table S 1 ; p < 0.0001 for all comparisons). 3.4.

Main Effects of Stress Factors on MigraineID All three stress factors (CHA, RLE, FINANC) showed highly significant ( p < 0.0001) main effects on migraineID with more severe stress increasing the prevalence of migraineID.

Statistical findings reinforced this approach: A one-way ANOVA on mean percent change in Cp showed a strong group effect [F(2,36) = 50.42, p < 0.0001)], with post hoc Tukey HSD tests revealing no significant difference between Non-Responders and Placebo (mean difference = 0.25%, p = 0.998), but large, highly significant differences between Responders and Placebo (mean difference = 35.74%, p < 0.0001) and Responders and Non-Responders (mean difference = 35.49%, p < 0.0001).

S1 , Supplementary Material online), differences with PALO being highly significant for Mammalia, Vertebrata, and paralogs (Mann–Whitney test P < 10 −4 ).

In a univariate logistic regression, we observed a highly significant positive association between the composite index score and the likelihood of aflatoxin detection (OR 1.6, p < 0.0001).

The lines exhibited highly significant genetic variation for all NIs after rearing on either diet ( p < 10 -4 in all cases; Table 2 ).

The loss of gMDSC numbers after freezing/thawing was statistically highly significant (p = 0.0001).

Correlations of HOMA-IR HOMA-IR was highly significantly and positively correlated with hepatic triglyceride content (r:0.76;p<0.0001), and other less highly significant positive correlations were found with waist circumference (r:0.52;p<0.001), BMI (r:0.48;p<0.01), age (r:0.49;p<0.01) and serum ALT (r:0.3;p<0.03), while inverse correlation with serum adiponectin (r:0.47;p<0,01) and HDL-C (r:0.46;p<0.02) were observed.

Their respective values of areas under the curves (AUC) of ROC curves were 0.76, 0.68 and 0.91 respectively, of which all exhibited highly significant differences (p<0.0001) compared with the control subjects.

By one-way ANOVA, the main effect of genotype on all four genes was highly significant (p<0.0001), and for each gene, at least four of the six pairwise genotype comparisons showed significant differences in expression ( Supplementary file 3 ).

Moreover, we found a highly significant association between XBP1s and GCK levels in β‐cells of all subjects ( R 2 = 0.44, p < 0.0001, Figure 2C ).

This confirmed modest though highly significant associations between circulating syndecan-1 and birthweight at 36 weeks’ (cohort 1; p < 0.0001; R 2 = 0.02, Supplementary Figure 1 E), and on the day of delivery in both the Melbourne (cohort 3; p < 0.0001 R 2 = 0.06, Supplementary Figure 1 F) and Chile cohorts (cohort 4; p = 0.0008, R 2 = 0.03, Supplementary Figure 1 G).

Compared to age-matched controls, the whole cohort of patients had highly significant higher levels of both calgranulins (P < 0.0001 and P = 0.0030, respectively).

All correlations were highly significant for the ABL/ALN group ( p < 0.0001), which supports our hypothesis but does not indicate whether these relationships are driven by differences in skeletal alendronate uptake, the extent of remodeling space and closure thereof, or other factors.

This bootstrap analysis showed that the number of genes corepressed by EZH2 and miRNAs was indeed highly significant ( P < 1 × 10 −4 ).

These differences are highly significant (Kruskal-Wallis ANOVA: H = 410.78, df = 8, p < 0.0001) comparing apiary ‘density-indices’ between nine landscape classes, summarizing the 55 different types of agricultural landscape defined for Switzerland ( Table 2 , Fig. 3B ).

SPLS model coupled with PFS analysis indicate highly significant difference at 6-month between the two patient strata for MM (100% R vs 15% NR, p<0.0001) and mUC (80% R vs 20% NR, p<0.01).

The combination of PZQ and ARA resulted in a highly significant ( P < 0.0001) increase in cure rates (78%) compared with 20% for PZQ alone but not egg reduction rates ( Table 1 ).

Each correlation was highly significant, with a p value < 0.0001.

When analysing the data for all participants, results for each of the ANOVA showed that the within-subject factor (the different professions) was highly significant ( p < 0.0001).