2 C ), the mutant main-effect on channel activation was highly significant ( p < 0.0001, two-way ANOVA), confirming the expected hyper-polarizing shift produced by L858F.
Excerpts
For roots, there were again highly significant differences among the groups of accessions on both axes (PCA1: F 3,100 = 12.58, p < 0.0001; PCA2: F 3,100 = 17.88, p < 0.0001).
Regression analysis of the cured percentage in untreated patients versus the odds ratio of the ten studies analyzed and presented in table S2, revealed a highly significant linear relationship (Spearman Rho = −0.842, adjusted R2 = 0.806, P<0.0001) indicating that centers with good surgical results do not benefit from pretreatment and centers with worse surgical results benefit most from pretreatment.
Analysis of variance for these four transplants showed a highly significant varia- tion in flow between them (P<0.0001).
This reflects a -9.89% reduction in pore count from baseline, with a highly significant difference (p < 0.0001).
The analysis revealed that TSV induced less than 5% toxicity at 0.05 μg/mL, while toxicity exceeded 98% at 100 μg/mL, with a highly significant increase in toxicity across concentrations ( p < 0.0001).
There were highly significant correlations between IHC and target prints (ER: r s =0.47, P <0.0001, PgR: r s =0.72, P <0.0001, Her2: r s =0.29, P =0.0135).
At the end of IFN-α therapy, 36 patients (47.4%) in 3-MU group and 103 (83.1%) had ETVR, the difference being highly significant (P < 0.0001).
of borderline significancep = 0.05
Within group follow-up comparisons revealed that the LPC was highly significant in the CN group [ t (33) = 5.2, p < 0.0001], but of borderline significance in the a-MCI patients [ t (23) = 2.1, p = 0.05].
Overall correlation between MCD and MVD was analyzed using Pearson’s correlation coefficient, and this showed a positive correlation ( r =0.640), and P value was found to be highly significant ( P =0.0001), as shown in Table 6 and Figure 7 .
coli ATCC 25922; the bacterial LOD was 10 2 –10 3 CFU/mL, with highly significant signal differences ( p < 0.0001).
A primary finding is the highly significant coordination between thorn density and thorn angle ( p < 0.0001).
For the Edge_500 approach, we found in the 45 - field sample a highly significant correlation between the number of arable plant species detected in these plots and the total number of arable plant species present in the field (r = 0.83, p < 0.0001; Fig. 3 ).
According to the ANOVA results, quadratic regression models with response values of TPC, TFC, and DPPH were subjected and the findings revealed that the three models were highly significant ( p < 0.0001).
Temporal Trends in the Proportion of Antibiotic-Resistant Bacteria There was a decreasing trend in the proportion of tetracycline-resistant Salmonella spp. in cattle ( p < 0.0001), with a distinct downward trend observed after 2018 ( Figure 1 a).
Conversely, there was an increasing trend in the proportion of tetracycline-resistant Salmonella spp. in chickens ( p < 0.0001) ( Figure 1 a).
Our measurements showed that MCF-10A had a small, yet highly significant, preference to grow on 2D conditions compared to control 3D ECMs (1.1 fold, with P < 0.0001) or tumor-associated 3D ECMs (1.3 fold, P < 0.0001).
Post hoc paired t-tests confirmed highly significant improvements at 1, 3, and 6 months (all p < 0.0001).
This decrease was concomitant with a highly significant increase in the Cho/Cr ratio for the EAE (0.28 ± 0.04) compared with the healthy mice (0.18 ± 0.03, p < 0.0001).
Target density, cull capacity, and cull radius were highly significant main effects by county, culled animals, culled farms, and epidemic length according to Type I and Type III analyses of likelihood ratios ( χ 2 , P < 0.0001).
There is a significant trend (p < 0.0001) shown in the curves that show what year the study initially received funding.
A repeated measures two-way analysis of variance comparing the two variables, (1) tissue source and (2) differentiation stage, indicated that the differences observed in the percentage of c-mpl + cells for the four differentiation stages were highly significant (p < 0.0001) [Table 2 ].
This difference is highly significant (p<0.0001, Kolmogorov-Smirnov Z = 4.121; ANOVA: F = 55.3).
All consonant thresholds improved with training as shown in S1 Table , with the majority of consonants showing highly significant (p < 0.0001) improvements.
While there is highly significant change in the distribution of PV interneuron stimulus selectivity (Mann-Whitney U test, U = 1207 , p < 10 − 4 ), the effect is much stronger when output plasticity is also present ( Figure 2a,b ).