Barely Significant

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highly significantP < 0.0010.0× alphaqualifiedgold
Results Estimating significant wave differences in scale scores A robust ANCOVA between our three waves indicated highly significant differences in male and female, 18–24-year-old respondents’ scores for CV-19 BFS (male: F (2,316) = 22.73, female: F (2,579) = 70.48; P < 0.001), FCV-19S (male: F (2,316) = 44.41, female: F (2,579) = 121.14; P < 0.001), depression (male: F (2,316) = 4.04, P = 0.019; female: F (2,579) = 43.86, P < 0.001) and stress (male: F (2,316) = 5.23, P = 0.007; female: F (2,579) = 24.75, P < 0.001), which trended towards declining post-Wave 1 (see Table 2 ).
highly significantp < 0.0010.0× alphaqualifiedgold
As EI was calculated with S values for the four observation dates, it yielded a better correlation with the global I*S index (r = 0.88) than Sy < V (r = 0.77), although both were highly significant ( p < 0.001); the same occurred when the analysis was carried out with S and I separately.
highly significantP< 0.0010.0× alphaqualifiedgold
Furthermore, partial correlation analysis adjusting for urine osmolality confirmed that Foam Half-life ( T 1/2 ) maintained a highly significant, independent association with pathological albuminuria (partial r = 0.74, P< 0.001), confirming that the digital surfactant signature accurately reflects protein leakage rather than simple variations in water excretion.
a significant trendP < 0.0010.0× alphagold
Further, the number of sickle-shaped blood vessels was associated with distant metastasis and OS, with a significant trend toward a poor prognosis (metastasis P < 0.001, Cox; OS P < 0.001, Cox) observed for patients with more than 100 such vessels in large maximal tumor sections.
highly significantP<0.0010.0× alphaqualifiedgold
There were highly significant differences in culturable bacterial numbers between aquaculture and control sites over the entire study period (P<0.001, rank transformation test), with bacterial numbers significantly higher in late spring (November, 2008) and high summer through winter (January through July, 2009) than at other times (P<0.05, Student-Newman-Keuls post-test).
highly significantp < 0.0010.0× alphaqualifiedgold
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