A highly significant Spearman’s correlation coefficient (r ≥ 0.91, p < 0.0001) was observed between the response to OVX836 NP and various heterologous influenza A strain NPs (including H5N1) in both age groups.
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Consistent with the higher protective efficacy seen with antigen combinations compared to individual antigens, Com1/4, Com2/3 and Com1/2/3/4, all induced highly significant IFN-γ ELIspot responses with both immunisation regimens ( p < 0.0001–0.05).
MBP showed a highly significant ( P > 0.0001) increase in CSF of PHH and SB/HC infants compared to normal.
There was a highly significant decrease in the number of children requiring rescue analgesic ( P =0.0001) in group D [ Table 4 ].
20 , 21 , 27 , 28 The difference between median dd-cfDNA levels in low and high hs-troponin I groups was highly significant (median dd-cfDNA: 0.04% versus 2.35%, respectively; P < 0.0001; Figure 2 D).
The presence of an anatomical anomaly was a highly significant independent predictor of procedural failure/crossover (Odds Ratio [OR]: 8.16; 95% CI: 4.29 to 15.52; P < 0.0001).
Haematological Parameters Comparing infected and non-infected tilapias, the infected tilapias show a highly significant increase in white blood cells count compared to non-infected ones ( p < 0.0001).
Differences were considered to be significant at different p -values: p > 0.05 was considered non-significant, p < 0.05 (*) significant, p < 0.01 (**) very significant, p < 0.001 (***) highly significant, and p < 0.0001 (****) extremely significant. 3.
The association between MUC1 and Rab31 expression was highly significant (Fisher’s exact test, p<0.0001) in that MUC1-positive tumors were more likely than MUC1-negative tumors to express Rab31 (n = 22, 88.0% vs. n = 8, 6.56%).
All tools except fathmm-XF showed highly significant score differences between groups (P < 0.0001), and high-performance tools presented a clear bimodal distribution with minimal overlap.
Fusarium2 was highly significant ( P < 0.0001) in Visual2011 and Visual2012, whereas in the GFP test, it was only significant at level P < 0.05.
Differences in survival between the 73 CC lines were highly significant (P < 0.0001).
At the Lönnstorp site, genotypic variance was highly significant ( p < 0.0001) for all traits except NS and SL ( Supplementary Table S2 ).
Among the model terms, pH (A) and temperature (B) showed highly significant effects (p < 0.0001), while calcination time (C) was found to be statistically insignificant (p = 0.5976).
The IC50 value of Caki-1 cells was calculated as 408.2 nM using GraphPad Prism, and the inhibitory effect of the ester toadstools on the activity of Caki-1 cells was extremely significant ( p < 0.0001) at a concentration of 200 nmol/L ( Figure 13 ). 3.8.
Results Variation in Cocoa Butter Fat Levels and FA Composition Extensive variation was found in the progeny of the MP01 population: The effect of genotype was highly significant in the MANOVA ( p < 0.0001) with Wilk’s λ = 0.01 and in the univariate case and was found to be significant in all the FAs and percentage of fat content ( Table 1 ).
Analysis of these 10 significant genes as a single metric by two-way ANOVA proves highly significant (p<0.0001) for islet quality, and together have a predictive accuracy for reversal of diabetes of 86% (ROC analysis; Area Under the Curve = 0.8640 ± 0.0285).
Based on the results, it showed that the model is highly significant when the computed F -value is greater than the tabulated F -value and the probability value is low ( p < 0.0001 ) indicating that the individual terms in each response model were significant on the interaction effect.
A highly significant difference in Gallerimycin mRNA levels was observed between the PA and PW control groups (p ≤ 0.0001), indicating a substantial impact of P. aeruginosa infection on gene expression compared to the control group ( Figure 6A ).
A highly significant ( p < 0.0001) positive correlation was identified for the %DevLep with CCL4 WCS and a negative correlation for %SSS with S100A12 Med and S100A12 WCS ( Supplementary Table 1 ).
These differences are highly significant (Kruskal-Wallis ANOVA: H = 410.78, df = 8, p < 0.0001) comparing apiary ‘density-indices’ between nine landscape classes, summarizing the 55 different types of agricultural landscape defined for Switzerland ( Table 2 , Fig. 3B ).
Analysis of variance (ANOVA) revealed that the reduced model was highly significant (F = 68.41, p < 0.0001), indicating adequate representation of the relationship between factors and response (Table 2 ).
From 1999 to 2015, there was a statistically significant rise in mortality (APC = 6.30; 95% CI, 4.08 to 7.67; P = 0.0036), followed by an even steeper and highly significant increase from 2015 to 2023 (APC = 15.87; 95% CI, 11.85 to 24.98; P < 0.0001), representing the most pronounced regional acceleration in mortality.
Statistical significance for comparisons of drug responses across different numbers of cells per spot was determined using ordinary one‐way ANOVA, with highly significant differences ( **** p < 0.0001, *** p < 0.001, ** p < 0.01) for comparisons between different groups, while “NS” indicates a nonsignificant statistical difference between the data groups.
Meta-analysis The meta-analysis based on the reported stem cell studies including this study revealed a highly significant difference between stem cell treatment and other treatments ( P < 0.0001).