Comparison of normal mucosa, tumor-adjacent mucosa, and tumors disclosed a strong and highly significant (p < 0.0001) up-regulation of EpEX in tumors with median IHC scores of 220 versus 60 and 50 in tumor-adjacent and healthy mucosa, respectively (Fig. 1d ).
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The differences in Q ′ values between the control and CVD cohorts are highly significant, with two-tailed p -values < 1 × 10 −4 (Fig. 3 and Supplementary Table S3 ).
The fitted exponential decay models were all highly significant (r 2 > 0.74, p < 0.0001; Fig. 5 ) with decay constants (r) differing significantly between single-species (chironomid only) and multispecies (two and three species) treatments.
Highly significant differences were observed among the genotypes ( P < 0.0001) across all traits. β-carotene ranged from 0.028 to 0.763 μg/g, lutein from 0.11 to 4.79 μg/g, and zeaxanthin from 0.05 to 1.69 μg/g, with total carotenoids reaching up to 9.15 μg/g.
All correlations were highly significant (p < 0.0001).
The improvement of the score per case was highly significant (p = 0.0001).
In individual comparisons, the correlation value ranged from 0.85 to 0.98 and was highly significant in all the cases (P-value < 0.0001).
showed a trendp < 0.0001
The frequency of clinch attacks showed a trend for diminishing along the exposure trials [F (1,18) = 33.72, p < 0.0001; F (2,36) = 2.9, p = 0.07 for genotype and trial sequence effects respectively, in 2way RM-ANOVA].
Based on the data obtained, there is an increasing trend in the expression of the E2F2 gene in the MACI1 subset (in comparison to the MAIC2 group, Fig. 6 , P < 0.0001).
As expected, LPS induced a highly significant increase of nitrites production by BV2 cells (Fig. 5 a; P < 0.0001).
We found a highly significant correlation for the oligomers generated from both HypF-N (r = 0.93, P < 0.0001) and Aβ 42 (r = 0.95, P < 0.0001).
The DPPH assay revealed a highly significant treatment effect by one-way ANOVA (F (6,14) = 82.40, p < 0.0001), accompanied by a substantial effect size (η 2 = 0.972; 95% CI: 0.93–0.99).
Results In the exploratory phase, WFNS and age were shown to be highly significant predictors for the outcome (p < 0.0001 for both).
The analysis of variance (ANOVA) presented in Table 3 offers a detailed statistical evaluation of the second-order polynomial model developed to predict the centric efficiency factor (ξγ) as a function of the footing spacing ratio (S/B) and the load eccentricity ratio (e/B).The overall model is highly significant, with a very high F-value of 127.59 and a p-value < 0.0001, indicating that the selected regression equation reliably explains a substantial portion of the variability in the response variable.
The model was highly significant ( p < 0.0001), yielding the components ‘Age’, and ‘SNP.Dim.14’ as the two most important predictors.
The ANOVA results for the Naphtha cut of heavy oil which are presented in Table 10 , indicate that the model as a whole is highly significant, with a p value of < 0.0001 and an F-value of 1518.48, suggesting that the factors included in the model explain a substantial portion of the variability in naphtha yield.
The spine density per 100 μm of dendrite was 30.7 ± 3.7, compared to corresponding values of 15.9 ± 5.1 for the GRPR cells 18 , and this difference was highly significant ( P < 0.0001; t-test; Fig. 8 e).
This analysis showed a highly significant positive correlation between the two datasets for both the SLC transporters (r = 0.9157, P < 0.0001) and the ABC transporters (r = 0.8368, P < 0.0001) (Fig. 3 , Supplementary Tables S3 and S4 ), providing further confidence in our approach.
All measured RGB parameters showed highly significant differences ( p < 0.0001) between germinated and non-germinated seeds, while seed mass and the normalized green index (g) were significant at p < 0.05 (Table 1 ; Figs. 2 , 3 and 4 ).
This was a highly significant difference (Fisher’s exact test; P < 0.0001).
Both nuisance factors were highly significant (sample size: X 2 = 58.407, df = 1, p < 0.0001; mean quality of fixes: X 2 = 11.268, df = 1, p = 0.0008), indicating that these factors play an important role in determining home range size using 95% KDE and that it is justified to account for them in our models.
Two-way ANOVA statistical summary demonstrated that the clinical status had a highly significant impact on these levels (F (1, 36) = 26.59, p < 0.0001).
The results of the pairwise t-tests for TomatoRipen-MMT and the best baseline (two-stream CNN) indicated a highly significant improvement (t = 6.18, p < 0.0001) with very large effect size (d = 2.14).
A highly significant negative correlation was found between each of the miRNAs 27b, 130b, and 138 on one side, and PPARγ expression levels on the other side (Spearman r = −0.6085, P < 0.0001, r = −0.6290, P < 0.0001, and r = −0.2831, P = 0.0021, respectively).
This analysis reproduced the highly significant effect of synchrony (F 1,145.96 = 34.9, p < 0.0001) already found in the 2 × 2 type B model.