“highly significant”

On the 21st day after vaccination, an increase in the mean antibody titers, ranging from 2.44 ± 0.20 to 4.05 ± 0.32 log 2 , was recorded in the animals of all experimental groups; the overall effect was highly significant among the groups (ANOVA, p < 0.0001).

The model is highly significant (F = 247.72, p < 0.0001).

The association of posterior segment lesions with low CD4 + cell count was highly significant ( P = 0.0001).

These findings are statistically highly significant (group A vs. group B: p < 0.0001) ( Table 4 ).

There was a significant heterogeneity among studies I 2 = 88.7% (95% CI: 76.3–94.6%), τ 2 = 17.32, and a highly significant Q -test ( p < 0.0001) ( 14 , 17–20 ).

Similarly, compound 18 showed significant in vivo efficacy, with a substantial proportion of larvae surviving to the end of the experiment and a highly significant improvement in survival relative to controls ( P = 0.0001).

For example, the empirical dataset had 10‐fold more loci than expected with an F ST = 1, which was highly significant compared to expectations derived from the neutral model (computed from simulated distribution in GppFst ; p < .0001).

Highly significant effect ( p < 0.0001) of treatment and interaction on enzyme activity was recorded (Table 1 ).

IL-19 and beta-defensin expression were also strongly correlated with each other ( r = 0.81) and highly significant ( P < 0.0001), suggesting that both biomarkers are involved in the same pathway of psoriasis pathogenesis.

Correlations of SAGE and eSAGE to MoCA and MMSE are also highly significant. eSAGE comparisons to SAGE Spearman correlation of SAGE versus eSAGE was 0.882 ( p < 0.0001). eSAGE and SAGE are related by the formula: eSAGE score = –1.05 + 0.99 × SAGE score (Fig. 2 ).

In contrast, particularly at 10 μM, a highly significant ( p < 0.0001) anti-clonogenic effect (26% inhibition) was found in MDA-MB-468 cells after three hours of exposure; meanwhile, there was a gradual decrease with increasing TQ concentration, exhibiting a significant 90% inhibition of colony formation at the highest tested concentration, 50 μM.

The correlation of the free-running circadian period and the resulting phase shift was highly significant (p<0.0001; data not shown).

Crucially, the interaction between genotype and group status was highly significant (F 2,509 = 22.14, p < 0.0001, η 2 = 0.080), with a statistical power of 99%.

vexans was found (p = 0.95); however, highly significant differences were found between the mean OMS temperatures for Cx . pipiens and Cx . quinquefasciatus , and Ae . vexans and Cx . quinquefasciatus (both p<0.0001).

Highly significant differences ( p < 0.0001) were observed among all sample types across all parameters, indicating substantial textural modifications resulting from blend composition.

The interaction terms were also highly significant, including treatment × cell type, F(5, 48) = 13,118, p < 0.0001; treatment × time, F(5, 48) = 22,079, p < 0.0001; cell type × time, F(1, 48) = 36,270, p < 0.0001; and treatment × cell type × time, F(5, 48) = 6897, p < 0.0001.

The chi-squared test for heterogeneity of studies was highly significant ( P < 0.0001) suggesting that the reported HRs of the individual trials are substantially different.

A highly significant ( p < 0.0001) increase in droplet size was detected for (F1) after 60 days of storage, increasing from 1099.0 ± 33.0 nm to 1609.0 ± 35.1 nm.

All regressions were highly significant (P-value < 0.0001), indicating that the relationships between Ct values and viral genome quantity were statistically robust.

All three responses demonstrate predictive capability with R 2 values ranging from 0.8418 to 0.9576 with a highly significant p -value ( p < 0.0001).

The multiple regression model for color was highly significant (R 2 = 0.84, F 3,110 = 188, P <0.0001), but the slope and intercepts were affected by ecosystem type, which resulted in the following equations: (2) and (3) Despite the differences in the regression parameters, most of the color observations from the experimental ponds fell within the 95% prediction intervals associated with the regression model for natural lakes in equation 3 ( Fig. 2a ).

Statistical analysis confirmed highly significant effects of HC-030031 antagonism (all p < 0.0001), validating the mechanistic importance of TRPA1 in bacterial sensing.

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

The mean absolute increase in lumbar BMD in the 13 patients in whom the increase was ≥ the LSC, was 0.062±0.036 g/cm 2 resulting in a percent increase from baseline of 7.8±5.9% (range; 2.4-21.5%) and there was a highly significant difference (P<0.0001, power 99.9%) between the pre and post VNS lumbar BMD in these patients.

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