Excerpts

In particular, the difference between infected animals that received JWH-133 or not was highly significant for endpoints (p < 0.0001) and branch length (p < 0.001).

There was a strong and highly significant correlation between the values for the two eyes ( R 2 = 0.73, P < 0.0001).

For Tsc22d3 , the ANOVA of ranks suggested a highly significant interaction of cell type and dose, F (8, 237) = 38.0, p < 0.0001, which was attributable post hoc to both glial cell types differing from neurons (2.73 ± 2.77).

Experiments that supplemented carotenoids rather than correlations with concentrations of carotenoids in blood resulted in significantly larger effect sizes (p = 0.006), but an analysis without the supplementation studies still yielded a highly significant overall effect size ( table 2 , p<0.0001).

This was tested, with the results presented in Table 4 , where the likelihood ratio, score and Wald tests were all highly significant ( p -value < 0.0001), which means that at least one of the parameters is not equal to zero.

All correlation coefficients were highly significant (p < 0.0001).

Note that all these correlations depicted in Figure 5 were statistically highly significant (all p < 0.0001).

Keywords Femoroacetabular impingement hip hyaluronic acid viscosupplementation Particularly, the slopes with respect to time for the variables VAS, HHS, Lequesne ( Figure 4 ) and NSAIDs monthly intake ( Figure 5 ) were highly significant ( p < .0001; p < .0001; p < .0001; p = .0003).

Furthermore, when this was combined with pre-treatment of cells with cisplatin, the correlation became stronger (median R = 0.70) and this change was statistically highly significant ( P -value < 0.0001; Figure 7A ).

There were highly significant variations between the treatments with more T. vaporariorum nymphs recorded in the controls than in the endophyte treatments at Mwea (χ 2 = 208.6, df = 6, P < 0. 0001; Figure 2C ) and Ngoliba (χ 2 = 1124.3, df = 6, P < 0.0001; Figure 2D ).

Statistically, there is a highly significant difference in the prevalence of bla KPC and bla GES genes among tested strains ( p < 0.0001). 16S rRNA Gene Sequencing and Phylogenetic Analysis Thirteen isolates were identified with 16S rRNA sequencing.

Statistical analysis confirmed that the mechanical parameters of the pull-off test of the coatings were statistically highly significant for all samples ( p < 0.0001).

This difference was highly significant ( P < 0.0001).

There was a very strong and highly significant correlation between the extension ranges of the contralateral and reconstructed knees (Pearson correlation coefficient, r = 0.931, p < 0.0001) ( Fig. 4 ).

Results clearly indicated that DFP-treated larvae displayed a highly significant increase in the number of neurons expressing Fosab ( p < 0.0001) in both the optic tectum (Fig. 2 c–e), and telencephalon (Supplementary Fig. 3 ).

There were highly significant differences in the number of OSCE stations and the number of MCQs set over the study period ( p < 0.0001).

Jarvinen and colleagues [ 84 ] evaluated topoIIα expression immunohistochemically in 230 breast cancer specimens and found a highly significant correlation with tumour proliferation rate measured by SPF (p < 0.0001).

In the presented patient cohorts the RFs reached highly significant predictions with an AUC of 0.8932±0.0052 ( p <0.0001 for NAFLD vs.

The correlation is statistically highly significant ( p < 0.0001), confirming that the rater’s repeated segmentations are highly reliable.

Results Our analysis revealed five main findings First, there was a single, highly significant, mode of genome-connectome covariation (correlation between genetic and connectomic canonical scores: r = 0.74, permutation test: p<10 -4 corrected for multiple comparisons across all modes estimated).

There was a highly significant difference between CS and CHF patients in changes (OUT-IN) in the Barthel Index (P<0.0001).

For garden warblers, the positive effect of day on SMI was substantial and highly significant (0.93±0.08, P <0.0001, Table 1 ).

Associations of biomarkers with all-cause mortality in X69 Highly significant associations for 10 of the evaluated biomarkers (all except bilirubin) with all-cause mortality were observed in X69 ( P <0.0001; Fig 3 and Table 2 ) when they were evaluated one by one adjusting for classical risk factors (age, sex, glucose, systolic blood pressure, BMI, total cholesterol and smoking).

The coefficient of the linear regression between pollen adhesion and fruit seed number was low, but again highly significant too (r 2 = 0.16; p < 0.0001; n = 105).

At univariate analysis MS was strongly associated with education with a significant trend (chi square 23.5; p-value 0.0003) reaching a strongest positive association for university degree (OR 6.87; 95%CI 2.90–16.20; p-value < 0.0001); MS was also positively associated with history of mononucleosis and inversely associated with history of autoimmune diseases as reported in Table 2 .