The Chi- Square analysis showed that all the tested variables were highly significant ( p < 0.001) which reflects the responses differed significantly from an equal distribution.
Excerpts
Based on the Analysis of Molecular Variance (AMOVA), highly significant ( p < 0.001) genetic differences were observed between the male and female mastic tree individuals ( Table 3 ).
Following baicalein pretreatment, cell migration was markedly inhibited: the wound closure rate in the high-dose group decreased to 6.3%, showing a highly significant difference compared to the Model group (P < 0.001).
As to disease symptoms and manifestations, the linear correlation between the total disease severity score and the total QOLEB was strong (ρ 0.647), and highly significant ( p <0.001).
The linear-by-linear association test specifically examining dose–response trends confirmed a highly significant progressive increase in awareness with increasing income ( p < 0.001).
All the biomarkers of ovarian reserve surveyed (FSH, AFC, and AMH) showed a highly significant difference between young and advanced age patients (P < 0.001).
There was a highly significant positive correlation between the density of T2R38-IR cells and BMI values (P = 0.001), but not between T2R38 mRNA levels and BMI ( Fig 2 ).
A moderately significant positive correlation was found between PTs’ attitudes and beliefs towards MSS management and their actual integration of MSS care ( r = 0.46, p < 0.001).
Both reductions were highly significant ( P <0.001).
After adjusting for baseline GAD-7 scores, marital status, and residence using ANCOVA, the group difference remained highly significant, F (1, 146) = 42.8, p < .001, partial η 2 = 0.226, with adjusted mean difference of 4.4 points (95% CI 3.2, 5.6) and adjusted means of 6.4 ( SE = 0.4) for the VR group versus 10.8 ( SE = 0.4) for the control group.
The competence dimension, reflecting the students’ belief in their capabilities to perform effectively, was markedly higher among the trained group (18.77 ± 2.09) compared to the control group (15.82 ± 4.38), with a highly significant difference (t = 3.81, p < 0.001).
Results were considered significant if p<0.05, very significant if p<0.01 and extremely significant if p<0.001.
A comparison pooled across all locations shows a highly significant advantage for average-image targets (Wilcoxon signed-rank test, two-tailed: W = 88, p < .001).
A highly significant association was observed between disease-free status and OS (p < 0.001).
Accordingly, a highly significant difference was observed between the amount of energy imported and exported by birds during the study period (Wilcoxon test, p < 0.001).
There was no main effect of prey size on pre-capture all-occurrence behaviors, but the comparison for behaviors surrounding consumption (post-capture all-occurrence behaviors and timed variables) was highly significant (MANOVA: Hotelling’s Trace = 2.3, F 24,82 = 3.9, p < 0.001).
The difference between eFAST and clinical examination was also highly significant (p < 0.001), whereas CXR showed a modest but significant improvement over clinical findings (p = 0.004).
In the presence of known predictors of 30-day mortality, mean sentiment polarity was a highly significant predictor in a multiple logistic regression model (Adjusted OR = 0.4626, p < 0.001, 95% CI: [0.4244, 0.5041]) and led to improved predictive accuracy (AUROC = 0.8189 versus 0.8092, 95% BCI of difference: [0.0070, 0.0126]).
The variability in diversity between study years was highly significant (P < 0.001).
Patients with an SDI ≥4 showed significantly higher ICA-RI (0.70 (0.68–0.77, IQR) vs 0.67 (0.60–0.72, IQR); p=0.032), while differences in ICA-PI (1.34 (1.22–1.69, IQR) vs 1.19 (1.01–1.51, IQR); p=0.057) approached, but did not reach statistical significance. cIMT correlated with age (r=0.47, p<0.001), MAP (r=0.302, p<0.001) and long-term medication with statin (r=0.26, p<0.001) and showed an inverse association with estimated glomerular filtration rate (eGFR) (r=−0.202, p=0.011). cIMT was furthermore lower in patients with ENA-positivity than in those without detectable ENA (0.78 mm (0.69–0.9, IQR) vs 0.84 mm (0.74–0.95, IQR); p=0.012).
The genotypic diversity value (P) was highly significant ( p < 0.001) at all the three hierarchical levels (among the various geographical regions, among populations and within populations).
In the CusS-lacking strain Cu93, the signal intensity rose even further to 5.0-fold that of Cu33 ( p < 0.001), with the difference between Cu93 and Cu27 remaining highly significant ( p < 0.001).
Statistical analysis of the wound-healing assay revealed a highly significant, dose-dependent effect of the treatment on the measured wound area ( p <0.001).
A highly significant ( p <0.001) difference between the two datasets suggests a measurable change in the donor (EphA3-GFP)/acceptor (RFP-labelled membrane) distance.
Using our validated histological scoring system, we were able to detect significantly more villous distortion and total inflammation in TNF i∆ARE/i∆ARE → SCID mice compared to wt → SCID mice, and a strong trend towards more chronic inflammation as well (villous distortion index: 4.00 ± 0.00 vs. 2.00 ± 0.00, P<0.001; chronic inflammatory index: 4.5 ± 1.05 vs. 0.75 ± 0.75, P=0.06; total inflammatory score: 9.25 ± 1.19 vs. 3.25 ± 1.25, P<0.05).