Excerpts

C2), S nn became very high (S nn = 0.87) and remained highly significant (P < 0.0001), demonstrating the high phylogeographic signal detected in the species across its distribution.

ANOVA results indicated highly significant differences (P < 0.0001) among mapping individuals (RILs) for all three traits despite significant environmental (years) effects on these traits in both seasons ( Supplementary Table S3 ).

We found a direct and highly significant correlation (gRVLP: R 2 = 0.794, p < 0.0001; LVLP: R 2 = 0.857, p < 0.0001; egRVLP: R 2 = 0.830, p < 0.0001) between GE efficiencies and Cas9 amounts for each of the three VLP types.

When comparing the correlations among mutational impacts defined by our MD metrics (i.e., dCORR and dFLUX), we find a highly significant correlation between dCORR values for DNA and RNA ( r = 0.58, p < 0.0001) and between dCORR values in DNA and dFLUX values in RNA ( r = 0.55, p < 0.0001).

There was a highly significant statistical interaction between age and residence after adjusting for time from initial diagnosis of CDI to the second episode ( P < 0.0001) ( Table 3 ).

Furthermore, a highly significant increase was perceived in CD45 between the PBS and OVA + CFA-treated mice (MFI: 1.94 ± 0.66 vs. 4.06 ± 1.11; p < 0.0001) ( Figure 5 a).

This results in a highly significant difference ( p < 0.0001) in BMI as well as our new index when compared between the non-infected and infected cohorts.

Although there is considerable individual variation between prediction and soil data, the fit is highly significant [ p < 0.0001, as discussed in the Supplemental Material ( http://www.ehponline.org/docs/2006/8659/suppl.pdf )].

The analysis of the FSAT results showed that the correlation between the prevalence of asymptomatic carriers and disease incidence reports (both surveillance systems) of the same year was highly significant. “High risk HC 2010” villages had on average six times more asymptomatic carriers than “low risk HC 2010” villages (1.57% vs. 0.24%, P <10 −4 ).

2 ) Highly significant heterogeneity was present among the 22 studies: Cochran Q = 278.5 ( P = 0.0001); I 2 = 92.5% (95% CI: 89.9–94.4); Kendall’s Tau = 0.004 ( P = 0.9775).

When all datasets were combined, we found a highly significant association of younger age at diagnosis with increased CIN70 scores (p < 0.0001).

Factor Model Analysis According to the ANOVA results presented in Table 5 , the BCF model for As is highly significant (F = 27.74, p < 0.0001).

We found that the differences in variability between LSD and PCB were highly significant ( p < 0.0001) in all three scanning conditions, with higher response variability under the influence of LSD than for PCB.

Overall, differences in species richness between elevational zones <2000 m were highly significant (ANOVA, F = 244.04, P <0.0001).

We found a significant trend of increasing proportions of genomically unstable tumours with increasing CIN70 quartiles (Figure 1 , p < 0.0001), suggesting that both chromosomal instability expression signatures derived through independent methods, are highly correlated.

There were highly significant correlations between the two THR measurements for both polarities ACA and CAC separately (Pearson’s r = 0.99, p < 0.0001; for both polarities).

The analysis revealed a highly significant main effect of time (F(4.076, 101.912) = 44.889, p < 0.0001), as well as a significant main effect of treatment (F(4, 25) = 16.928, p < 0.0001), indicating an overall temporal change in body weight and substantial differences among treatment groups.

Lower PlGF MoM and higher MAP MoM were also found in LO-PE pregnancies, however the difference in PlGF MoM did not reach statistical significance (MAP –1.05 MoM, p<0.0001; PlGF –0.90, p = 0.024).

Two-way analysis of variance indicated a highly significant (p<0.0001) reduction of 46% in 125 I-SI Ang II binding in the brains of the neurolysin knockout strain.

Gender was highly significant for all tested beverages ( p < 0.0001), with women consuming fewer alcoholic beverages than men.

Two-way ANOVA revealed highly significant genotype effects for TaExpA6 (p < 0.0001), with Bonferroni’s multiple comparisons test showing consistent and significant changes in mRNA levels at 10, 14, and 21 DAA (adjusted p-value < 0.05, Figure 6E ).

When the same cohort was stratified by CAB, the results showed a higher difference in DMFS (10.84%) between the low‐ and high‐risk categories with a highly significant P ‐value of <0.0001 (Figure 2 A) suggesting that CAB is a better prognostic predictor in comparison to node status.

Furthermore in the hanging wire grip test requiring strength and coordination the FE65/FE65L1-DKO mice had a significantly lower latency to fall compared to WT mice, while single KOs, which also showed a trend towards a lower latency to fall, were not significantly different from WT mice ( Fig. 1c , p = 0.0001).

All LLR values were positive and the difference from zero was highly significant ( p <0.0001), indicating that the power law provided the better fit to the data.

S3 ; Table S9 ) and highly significant ( P < .0001) association with skin microbiome dissimilarity across all beta-diversity metrics.