“highly significant”

There was a highly significant association between a positive response (‘agree’) and respondent group for items concerning learning outcomes (chi-square = 47.12, p < 0.0001) and professional development (chi-square = 27.99, p < 0.0001).

The difference is highly significant (t(11) = 8.5, p = 0.0001).

The effects on tumor growth between the experimental groups were highly significant: shRNA ctrl versus shRNA UNG ( P < 0.0001), shRNA ctrl plus FdU treatment versus shRNA UNG ( P = 0.003), and shRNA ctrl plus FdU versus shRNA UNG plus FdU ( P = 0.003).

For the concentration of IL-5, the omnibus test was highly significant (Kruskal-Wallis, χ2 3 = 30.59, p < 0.0001), and the pairwise comparisons showed that non-infected mice had lower levels of IL-5 compared to all infected groups ( Fig 3a ).

The association between the derived APS and CCCS was also highly significant ( P < 0.0001) with a Pearson correlation coefficient of 0.3.

In all cases, the antioxidant formulation (samples I, II, and III) had a highly significant effect ( p -value < 0.0001, see Supplementary Materials Tables S1 and S2 ).

CBL was found to cause a highly significant ( P < 0.0001) improvement in the students’ higher levels of cognition, whereas the lower orders of cognition remained unaffected ( P = 0.2048).

Two-way ANOVA showed that both HLA-DRB1*01 and HLA-DRB1*03 were associated with anti-CII levels (p<0.0001 for both), with a highly significant interaction (p<0.0001).

C 50.3 ng/ml, 95% CI, 2.1–98.6 ng/ml, P = 0.042, Tukey’s HSD test), and highly significant differences in phase III, during surgery and after surgical resection of the main tumour mass (P = 0.0001, n = 28, mean difference M vs.

The pattern of trait correlations among pigeons is highly significant when adjusted for repeatability ( r m >1 between rock dove and domestic (p<0.0001); r m =0.798 for the feral-domestic comparison (p<0.0001)) ( Supplementary Tab. 3 ).

According to the model fit statistics, the quadratic model is suggested to be highly significant among linear, 2-factor interactions (2FI), and quadratic models for turbidity ( p = 0.0001), COD ( p = 0.0004) removal, and residual Al ( p = 0.0274) implying high correlation coefficient (R 2 ) values, 0.9831, 0.9838, and 0.9775, respectively.

All pair wise distances were highly significant ( p < 0.0001).

The difference in agreement between the two conditions was highly significant ( t ⁢ ( 198 ) = 22.28 , p < .0001 , d = 3.15 ).

Including genotype in the mixed model had highly significant effects on period ( χ 2 (1 d.f.) = 455.57, p < .0001) and RAE ( χ 2 (1) = 65.97, p < .0001).

There was a highly significant correlation between the coulter counter and blood gas analyzer methods of Hb measurement ( r 2 = 0.98, 95% confidence interval [CI] = 0.97–0.99; P < 0.0001).

The Kaplan–Meier curve, however, does show a highly significant trend of loss-of-barrier function at higher concentration ( P < 0.0001 for both curve difference and trend significance, derived from log-rank tests) (Fig. 4i ).

SOX9 expression demonstrated strong diagnostic value, particularly in post-SVR-HCC patients, with a highly significant AUC of 0.92 and a specificity of 97.22% ( P < 0.0001), indicating its potential utility in this clinical context.

The highly significant interaction ( P < 0.0001) between external osmotic strength and temperature for the condensation phenotype strongly indicates the interdependence of these two factors.

Kindling also had strong heritability and differences were highly significant ( P < 0.0001) between strains ( Table 1 ).

Nevertheless, the correlation for the change in diet soda vs the change in regular soda was highly significant, r = -0.67, P = 0001.

Results Phenotypic variability and estimates of heritability Analysis of variance revealed a highly significant ( P < 0.0001) difference among the genotypes both for individual locations and data combined across locations (Table 1 ).

Concerning the chronic effects amongst all study days only day 2 showed a highly significant correlation of polynucleosomal with total nucleosomal cfDNA concentrations (r = 0.95; p < 0.0001, Fig 3B ).

leopoldii showed highly significant differences compared to G. piotii ( P < 0.0001) and G. pickettii 3 ( P < 0.0001), with mean differences in amylose degradation rates of 0.776 and 0.787, respectively.

The relationship of vegetation cover to dNDMI is highly significant (p < 0.0001) in both the red-stage and gray-stage sample subset, but the slopes of the relationships are opposite. dNDMI is positively correlated to NDVI 2015 in red-stage models, indicating that lower values of dNDMI (indicating greater mortality from spruce beetle outbreak) are correlated with lower vegetation cover in 2015.

At 38 °C a similar pattern emerged; the overall predator effect was highly significant (ANOVA on the binomial generalized linear model, effect of predator treatment: LR χ 2 = 26.30, d.f. = 2, P < 0.0001; Fig. 2a ), but that was only attributable to lycosids, which caused the highest mortality, significantly different from control and pisaurid effect (contrasts: lycosid-control: z = 3.73, P = 0.0005; pisaurid-lycosid: z = −2.75, P = 0.01).