“highly significant”

Variations in landings were highly significant ( R 2 = 0.30, p < 0.001).

Awareness of diagnosis was highly significant (p<0.001): more than half of those aware of their diagnosis (51.6%) expressed concerns, compared with 23.4% of those who were not aware.

Across increasing census tract poverty levels, there were statistically highly significant trends ( P < 0.001) of increasing hospitalization within each race/ethnicity group (Figure 3A ), except for non‐Hispanic Blacks ( P = 0.008)..

All vessel segments, except C5 ( p = 0.013), had a highly significant difference of CVSG 0 to 3 ( p < 0.001).

First, the main effect of the fixed factor concentration was shown to be highly significant (F = 11.75, p < 0.001; see the black squares in Figure 3 ).

The difference was highly significant ( P < 0.001).

Trait Variance, Heritability, and Correlations There was a highly significant ( p < 0.001) genetic variation among the lines of the AMP for FAW and all MW resistance traits collected and analyzed in this study, except FAW damage in 2017B which was significant at p > 0.01.

kuntzei, was highly significant ( p = 0.001) and explained 52% of total variance.

Seven days after injection, a highly significant 2.5-fold decrease of histological lesion area was observed in TA muscles of mice treated with the vPMO, as compared to untreated hIMEP DUX4 mice ( p < 0.001) (Fig. 9 ).

Kaplan-Meier survival analysis demonstrated highly significant reductions in aphid lifespan across both tested concentrations (10 ng/μL and 100 ng/μL), with log-rank tests confirming p<0.001 for all treatment groups compared to the untreated control.

Highly significant differences were obvious between ambulant and non‐ambulant patients, both for global thigh and leg FF and cCSA ( Table 1 ) and for individual muscle FF ( P < 0.001).

The difference between feedback control being on or off was highly significant in all cases ( P < 0.001).

R2* values do correlate highly significant ( p < 0.001) with age (Pearson’s correlation coefficients: CN 0.695; GP 0.882; PT 0.611).

As shown in Figure 2G there is a highly significant (P<0.001) complete ablation of peak LH surge secretion in CNO-treated tg mice compared to all three controls.

Taken together, both axes of the data set explained 92% of total inertia, which is highly significant at p = 0.001*** (Monte Carlo Permutation test, n = 999; F = 8.94), indicating strong correlations between the BHAB abundances, substrate types, light level and seawater temperature (Supplementary Data 5 ).

The displayed position of the clot candidate in the ranking issued by the tool revealed a highly significant negative correlation with the true-positive candidates ( p < 0.001, r = −0.32); a clot candidate displayed in the first or second position was more often a true-positive finding.

In summary, the impact of fatigue level on QoL, physical health, and mental health, adjusting for other factors, was highly significant ( p < 0.001) and had a medium-to-very-large effect size.

For both horizontal and vertical pairs, this effect was highly significant (α 1 : r 38 = 0.62, p < 0.001, BF = 1442.37; α 2 r 38 = 0.68, p < 0.001, BF = 13370; Figures 4 G and 4 H), while for diagonal pairs, it was weaker and marginally significant ( r 38 = 0.31, p = 0. 051 , BF = 1.241 , Figure 4 I).

For amateur athletes ( n = 470), the influence of potentiation led to a highly significant and large improvement in FSKT performance (g = 1.28; 95% CI, 0.85 to 1.71; p < 0.001) though considerable heterogeneity was observed within this subgroup (I 2 = 88.71%).

Table 4 and Table 5 provide inter-group comparisons of all model input variables between PE-positive and PE-negative groups; all four predictors show highly significant differences (Mann–Whitney U and Pearson χ 2 , p < 0.001 for all variables), confirming their discriminative value within this cohort. 3.5.

A highly significant (p-value = 0.001) age factor for the severity and prevalence of sleep apnea was also observed in this study.

The proportion z-test showed an agreement of 84.0%, which was statistically highly significant (z=20.44, P<0.001).

2 C) showed a highly significant decreasing trend (Wilcoxon rank-sum test, p < 0.001) in samples of 2022, and the proportion of windows with positive values significantly decreased.

Segmented regression analysis of annual publications against time identified two significant breakpoints (2003 and 2009, breakpoint test p < 0.001): Initial Exploration (2000–2003): Annual growth rate β = 0.02 (95% CI: -0.05–0.09, p = 0.58; no significant growth); Slow Fluctuation (2004–2009): Annual growth rate β = 0.45 (95% CI: 0.08–0.82, p = 0.03; moderate significant growth); Rapid Development (2010–2024): Annual growth rate β = 3.21 (95% CI: 2.87–3.55, p < 0.001; highly significant and rapid growth); Conclusion: Statistically significant differences existed in growth rates across the three phases (interaction term F = 47.2, df = 2, p < 0.001), confirming the “Rapid Development Phase” as a valid trend.

Current pain intensity was not considered in the following analyses, because correlation analyses revealed highly significant positive correlations between current global pain-induced disability and current pain intensity, such as current dysmenorrhea (ρ = 0.464; p < 0.001), non-cyclic pain (ρ = 0.472; p < 0.001), dyspareunia (ρ = 0.354; p < 0.001), dysuria (ρ = 0.405; p < 0.001), dyschezia (ρ = 0.477; p < 0.001), lower back pain (ρ = 0.446; p < 0.001), and global pain intensity (ρ = 0.604; p < 0.001).