“highly significant”

Quantitative analysis confirmed that TGF-β1 alone did not significantly alter VCAM-1 expression compared with control (Dunnett’s test: mean difference = −1.12, 95% CI −3.85 to 1.61, p = 0.42), whereas TNF-α treatment resulted in a highly significant increase in VCAM-1 fluorescence intensity (mean difference = −22.24, 95% CI −24.57 to −19.90, p < 0.0001).

Intra-group comparison of PPD and CAL in the three anxiety levels showed increased periodontal destruction with an increase in anxiety levels, the results being statistically highly significant for PPD differences in smokers (P < 0.0001).

For bone-marrow spaces percentages and inflammatory cells, they were also highly significant ( p < 0.0001), and Group II (positive control) was significantly worse than all others ( p < 0.0001).

The regression model was highly significant ( F = 41.35, p < 0.0001), whereas the lack-of-fit was statistically insignificant, demonstrating that the model adequately described the experimental results.

The Wilk’s Lambda test was highly significant ( p < 0.0001), indicating the significance of the DA model ( Supplementary File S3 ).

Discriminant function analysis, analogous to multiple regression, confirmed these findings with a highly significant discriminant model (Wilks’ Lambda = 001, p < 0001), indicating a high proportion of explained variance (99%), making it the best discriminant model.

In a Kruskall-Wallis analysis of the normalized frequencies of the Foa races 4 and 2 hetero- and homo-CATs, there were highly significant differences ( P < 0.0001) between the strains; the non-parametric Steel-Dwass multiple comparison test found highly significant differences ( P < 0.0001) between all pairs, i.e., there were highly significantly fewer (apparently non-existent) hetero-CATs than either homo-CATs, and there were highly significantly more homo-CATs of Foa race 2 than homo-CATs of Foa race 4.

The a priori defined primary pharmacodynamic outcome of an increase in the frequency of Tregs as a percentage of CD4 + T-lymphocytes at D8 was dose-dependent (JT-J test, p < 0.0001) and highly significant for both treated arms (MW-U test, p < 0·0001; 2 MIU: mean [SD]: +6·2% [2·2]; 1 MIU: mean [SD]: +3·9% [1·2]) as compared to placebo (mean [SD]: −0·5% [1·3]) (see Table 3 , Fig. 2 a and b).

Tumor-to-blood ratios increased significantly over time for both tracers; however, [ 52 Mn]Mn-BPPA-bevacizumab demonstrated significantly higher ratios from day 2 onward, with the difference becoming highly significant at days 3, 5, 7, and 10 ( p < 0.0001).

Specific leaf area Specific leaf area was 8.9% lower for red oak than bur oak on average, and this difference was highly significant ( F 1, 2191 = 83.85, P ≤ 0.0001, Fig. 2 d).

The CXCL12-induced increases in cell number observed after 7 days were therefore always highly significant ( P <0.0001).

Their distribution by generation is shown in Table 1 . The increased ratio after 1950 is highly significant statistically ( p < .0001).

The impact of measurement time on USCL changes in the 2nd cohort comparisons was highly significant (p < 0.0001).

AMOVA that was conducted by grouping the accessions according to their geographic regions of origin and without grouping revealed a highly significant variation among accessions and regions as well as within accessions ( Table 2 ; P < 0.0001).

Under cold conditions, the analysis revealed a highly significant effect of genotype ( p < 0.0001), indicating that Salinas consistently exhibited higher germination than US96UC23 across all time points ( Figure 1 b).

Demographics predictor for practice score was highly significant for age ( p =.0001) and BMI ( p =.0001).

111 In–Match–AuNP–Tat also caused a highly significant upregulation of γH2AX foci/NSA in comparison to an untreated control (0.12 ± 0.04 versus 0.07 ± 0.03 μm –2 ; p < 0.0001) and to 111 In–Scramble–AuNP–Tat (0.12 ± 0.04 versus 0.07 ± 0.03 μm –2 ; p < 0.0001).

As expected, induction of the p21 gene in the population was highly significant for all the treatments (p<0.0001).

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).

Multiple regression analysis was performed using the quadratic polynomial model described by Equation (1), linking the independent variables to EE response: (1) Y = 56.32 + 0.5366 X 1 + 1.73 X 2 − 0.2654 X 3 − 0.4980 X 1 X 2 + 0.5468 X 1 X 3 + 0.0390 X 2 X 3 − 8.95 X 1 2 - 6.52 X 2 2 − 5.14 X 3 2 Analysis of variance for the regression model ( Table 2 ) revealed that the model exhibited a highly significant F-value of 830.28 ( p = 0.0001).

Note that MFI is displayed on a logarithmic scale, and the effect of all three anti-cytokine antibodies was highly significant (p < 0.0001) for IFN-γ.

The difference was highly significant [ t (174) = 5.48, p < 0.0001, Cohen’s d = 1.04].

3 E ), but a highly significant difference in occipital sensors ( F 2,42 = 5.9; P < 0.0001, Fig. 3 E ) with more SWA peaks in OFF (N SWA = 0.51) versus ON (N SWA = 0.27; t 14 = 3.4; P = 0.004) and versus MID trials (N SWA = 0.25; t 14 = 2.6; P = 0.02) in theboccipital region.

Although modest, the aPTT increase remained highly significant when comparing T0 and T4 at residual concentrations ( P < 0.0001 for both drugs).

These results yielded highly significant class distinction between NEC and Sepsis (AUC = 0.958; p < 0.0001 ) ( Fig. 2C ) as well as NEC and control (AUC = 0.91; p < 0.0001 ) ( Supplemental Fig. 3 ).