The results showed a highly significant ( p < 0.001) impact of this interaction with PWV which indicates that the different slopes of urate level and PWV between males and females are statistically significant.
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The regression between cochlea length and body mass is highly significant (ca. 54%, P < 0.001), but the respective scatterplot (Fig. 4 A) allows the observation that this result is mostly driven by rodents, the group with the widest body mass range in the sample.
The Kaiser-Meyer-Olkin (KMO) statistic for all the items is 0.855, and the Bartlett’s test of sphericity shows it highly significant at p < 0.001 (Chi-Square = 6527.001), indicating that the data is suitable to be analysed by EFA [ 19 ].
The sex coefficients were negative and highly significant (p < 0.001), with the strongest effect observed for ZIKV (-0.32728) and the weakest for DENV (-0.15088), indicating that being female is associated with a greater risk of arboviral infection.
The mean PT-volume increase of 6.7±17.2 mL during the period between first and second CT scans was highly significant (p<0.001).
A highly significant association existed between current academic level and perception ( p < 0.001).
Moreover, job position emerged as a highly significant factor affecting both job satisfaction and creativity ( p < 0.001 and p = 0.02, respectively).
Spearman correlation analysis between the mean DISCERN and GQS scores revealed a highly significant positive correlation between the two measures (ρ = 0.75, p < 0.001).
was considered not significant, ∗p < 0.05 was considered statistically significant, ∗∗p < 0.01 was considered highly significant, ∗∗∗p < 0.001 was considered extremely significant and ∗∗∗∗p < 0.0001 was considered very extremely significant. 3.
For Entamoeba spp., population density emerged as a highly significant predictor of infection (OR = 11.71, 95 % CI: 3.79–36.12, p < 0.001), indicating that deer in high-density populations had substantially higher odds of testing positive for infection.
Highly significant (p < 0.001) DEG events between OF and DR over time included T-box genes involved in heart development ( tbx2a/3a ), regulation of glucose ( fam132a ), membrane component ( chst2b ), regulation of vascular permeability ( src ), transmembrane transport ( slc6a17 ), metabolic process ( pah ), retinoic acid regulation ( nr2f5) and axon guidance ( arl3l1 , ntn1a , tnc ).
The overall change in knowledge regarding causation was highly significant (χ 2 = 139.48, p < 0.001) with a large effect size (V = 0.440), suggesting a substantial improvement in understanding.
We also assessed whether the prevalence of subclasses was the same or different across genders and found that overall difference in the prevalence was highly significant (p < 0.001) (Table 3 ).
Alexithymia: In both models, alexithymia significantly predicts IAD, with coefficients of β = 0.27 (Model 1) and β = 0.26 (Model 2), both highly significant ( p < 0.001).
While these variations were not statistically significant on most individual farms, the regional averages revealed pronounced and highly significant differences, with a p-value < 0.001 for all three tests.
Further, all 2-way interactions were highly significant [Opacity × Orientation: F 1,297 = 40.2, p < 0.001, η p = 0.12; Stimulus × Opacity: F 1,297 = 68.2, p < 0.001, η p = 0.19; Stimulus × Orientation: F 1,297 = 896.3, p < 0.001, η p = 0.75], and also the Stimulus × Opacity × Orientation interaction was significant [ F 1,297 = 7.9, p < 0.01, η p = 0.03].
The first two pathways were highly robust and appeared to be highly significant (p-value < 0.001) at the top of the lists from all three TAN groups.
This analysis revealed a highly significant negative correlation between the expression of TFR1 and miR-148a ( r = −0.435, P = 0.001) (Fig.
Results Adequacy of Blood Transfusions Overall improvement in pretransfusion hemoglobin was highly significant ( P <.001) and the same was seen in four centers ( Table 2 ).
The best performance was observed when all three submodules—D-MSA, FM-M, and RM—were combined, achieving Dice scores of 86.12 ± 0.36 (CI: 85.90–86.34) on ATLAS and 93.12 ± 0.35 (CI: 92.92–93.32) on LiTS, with highly significant p-values (p< 0.001).
A paired-samples t-test revealed a highly significant difference (n = 8, t (7) = 20.3, p < 0.001) between the two treatments.
Moran’s Index values were 0.246584 in 2000, 0.316890 in 2011, 0.132191 in 2005, and 0.225613 in 2016, all with highly significant p -values ( p < 0.001).
The advantage in PJ anastomosis time remained highly significant (21.1 ± 5.5 vs. 29.0 ± 7.4 min, p < 0.001), reflecting a 27.2% reduction in the time required to complete the anastomosis.
These results all showed that memory diseases still showed a highly significant effect on stroke ( p < 0.001). 3.2 Correlation between memory diseases and stroke risk Based on the three models constructed in this study, memory diseases were significantly associated with stroke in all three models (Model I, OR = 7.33, p < 0.001, 95% CI = 5.31–9.94; Model II, OR = 6.08, p < 0.00
Ten of the 29 positive variants showed a highly significant association with sepsis risk, with p < 0.001; 11 showed an association with sepsis risk with p = 0.001–0.01, and the remaining 8 had p < 0.05.