“highly significant”

We conducted a sphere formation assay on agarose-coated plates, which minimized cell adherence to the surface, and observed a highly significant increase ( p < 0.0001) in the number of spheres formed in the groups; BDFO and BNFO, respectively, as compared to the control group, BNFN whereas FDBO and FNBO cells did not show any considerable change (Fig. 4 a, b ).

Overall genetic structure Control region and microsatellites AMOVAs with the CR and Msat datasets showed highly significant deviations from panmictic population conditions (Φ ST = 0.096, P < 0.0001; mean D est = 0.17; F ST = 0.015, P < 0.0001).

Similarly, a highly significant increase in nAb ( p < 0.0001) was noted at 2 weeks post-vaccination for both vaccines relative to baseline, with only 3 and 5 seropositive donors receiving CS and CO respectively, failing to respond (Fig. 2b ).

The Kruskal–Wallis test demonstrated a highly significant difference in SUV mean across age groups in males (H = 25.46, p < 0.0001), with a trend in females (H = 8.52, p = 0.074).

Gray scale parameters for lymph nodes such as size of lymph node, shape of lymph node, and presence or absence of hilum revealed highly significant results ( P < 0.0001).

The model was highly significant ( p < 0.0001) with a non-significant lack-of-fit ( p = 0.0689 > 0.05).

The inclusion of modules A, P, M, and N in the VCogM model had a highly significant impact on the model's Top‐1 Accuracy ( p ‐value < 0.0001), while module U also had a significant impact on the VCogM model's performance ( p ‐value < 0.01).

Logistic regression provided a good description of the data for both populations and accession effects were highly significant ( p ≤ 0.0001).

In contrast, hTf addition, previously used to create a siderophore-dependent growth condition ( 27 ), led to a marked, highly significant UTI89 ΔentBΔybtS growth defect relative to UTI89 ( P < 0.0001 after 9 hours) (Fig.

Importantly, a highly significant association was found between the G-allele and response to therapy in HCV genotype 1-infected patients (P<0.0001) but not in HCV genotype 3-infected patients.

The Kruskal–Wallis test for the lateral region was highly significant ( p < 0.0001).

Using a parametric Poisson model to analyse these data demonstrates a highly significant difference between the two groups ( P =0.0001).

Results: It was seen that for all kinds of maternal and fetal outcomes, the differences between GDM cases and non-GDM cases were highly significant ( P < 0.0001, relative risk >1 in every case).

The most pronounced differences occurred at 30 minutes, with Group A (4.05 ± 2.98) showing the highest score compared to Group B (2.85 ± 1.29) and Group C (1.05 ± 0.68), all comparisons being highly significant (overall p < 0.0001).

Statistical analysis using an unpaired t test with Welch’s correction showed a highly significant difference between groups ( p < 0.0001).

Results were considered significant when P <0.05 and highly significant when P < 0.0001.

And when we combined information across all colonies, we found highly significant evidence of caste‐biased paternity skew ( P < 0.0001).

Statistical analyses showed highly significant positive correlations (p<0.0001) between all of the units/titers measured in the different antibody assays ( Table 2 ).

The duration of outdoor exposure had a highly significant effect on the amount of moisture lost by both hydrogel types (ANOVA, df = 14, F = 123.2, P < 0.0001).

The difference was highly significant statistically ( P =0.0001) [ Table 1 ].

Results and Discussion The effect of species on the probability of thigmotropism was highly significant between fusarial isolates belonging to FSSC and FOSC (Odds ratio = 2.81, z = 14.634, p < 0.0001).

Comparison across CAD categories using the Kruskal–Wallis test demonstrated a highly significant difference in daily effort scores (H = 85.82, p < 0.0001).

Differences in weight losses between groups were highly significant ( P <0.0001) throughout all 4 years of follow-up.

The difference in bacterial burden in the lungs between these two groups was highly significant ( P <0.0001, one-way ANOVA with Tukey's correction).

For both genotypes, delta power in both baseline and recovery from SD could be reliably predicted on the basis of sleep-wake history (Figure 1 ), which is underscored by the highly significant correlations between empirical and simulated data (r = 0.91 and 0.87 for cry1,2 +/+ and cry1,2 -/- , respectively, P < 0.0001 for both genotypes).