“highly significant”

Further analysis of the significance based on paired t tests indicated that the differences in the red reflectance between MODIS and the other sensors were highly significant ( p < 0.0001).

At the end of the treatment (Day 37), one-way ANOVA revealed a highly significant difference in rotarod performance among the groups ( P < 0.0001).

The 300 values of the RMS standard deviations (SD) associated with the three channels of the calibrated and non-calibrated orthophoto were compared by means of a paired Wilcoxon test for non-parametric distributions which reported a highly significant difference ( p < 0.0001) between the calibrated and non-calibrated images ( Table 3 ).

Differences in tumor recurrence was highly significant for both SK-MEL-28 and MM649 (p<0.0001, Log-rank (Mantel-Cox) Test).

For total medication count, both the overall association and the nonlinear component were highly significant (both p < 0.0001) (Figure 1A ).

Our quantitative Z-scores showed a strong and highly significant correlation with the expert's clinical ratings (Spearman's ρ = 0.866, P < 0.0001).

Blood elevation of GST-π, DJ-1, NT-proBNP, NDKA and IL6 in stroke patients were highly significant ( p<.0001 ).

Results There was a highly significant difference in respiratory aerosol concentrations between SARS-CoV-2 PCR-positive (median 1490.5/L) and -negative subjects (median 252.0/L; p < 0.0001).

Availability of oxygen and the impact of induced adaptive evolution as well as the interaction effect between these two factors were identified as highly significant (p-values < 0.0001) by ANOVA.

The mean divergence between VAS and WOMAC weight-bearing pain did not vary significantly with KL grade ( P = 0.72), but a highly significant trend was found for larger mean divergence in VAS and WOMAC non–weight-bearing pain with increasing KL grade ( P < 0.0001) (Figs. 3 A–C). 4.

Pearson correlation analysis between qRT-PCR (ΔΔCt method) and RNA-seq (log2FC) data revealed a highly significant positive correlation (Pearson’s r = 0.965, R2 = 0.984, 95% CI: 0.942–0.991, p < 0.0001), demonstrating strong consistency between the two platforms.

This effect was highly significant ( p < 0.0001) ( Figure 1 E,F).

According to the statistical analysis, the concentration of DBA (X 3 ) had a highly significant effect ( P < 0.0001) on the SPF and sunscreen efficacy of the fabricated oleogels (Fig. 6 C & F).

Effect of varietal difference and germination time on total tannin content Similarly, the total tannin content (TC) (mg TAE/100g DM) was found to decrease significantly with GT with a highly significant effect of variety (p < 0.0001, PES = 0.99).

Differences among median results obtained at the three times of observation were all highly significant ( P < 0.0001; Figure 1 A).

The DSMB recommended to stop the trial enrolment on the basis of: (i) clear benefit in the primary endpoint in the ‘stratified treatment’ arm (observed difference in SAQSS between groups was highly significant [ t = 7.25, P < .0001], with the corresponding Z -score [6.42] exceeding the O’Brien–Fleming boundary [Z = 2.74], confirming the robustness of the result and a low risk of false-positive conclusion due to interim testing); (ii) a numerically higher rate of MACE in the ‘standard of care’ arm; (iii)

The difference in survival between CN III and CN VI was statistically significant but modest ( p = 0.0012; HR = 1.074), while differences between CN IV and both CN III (HR = 0.42) and CN VI (HR = 0.419) were highly significant ( p < 0.0001).

The difference was highly significant ( p < 0.0001), exceeding the trial’s efficacy threshold.

This represents a highly significant reduction in relapse rate compared to the pre-RTX period (paired t -test, p < 0.0001; see Figure 1 ).

No correlations were found between SREBF2 and HMGCS1 , HMGCS2 ( Figures 2E, F ), or with PPARG ( Figure 2H ), but a highly significant correlation was found with PPARGC1A ( Figure 2G , P < 0.0001).

There were strong and highly significant associations (p < 0.0001) between Fe NO and sputum eosinophils, regardless of whether the data was expressed as percentage differential or cell count.

The overall model was highly significant ( p < 0.0001), indicating that bacterial concentration and assay configuration together explained most of the variability in signal.

WC and BMI stand out with the highest diagnostic performance, having AUC values of 0.967 and 0.941, respectively, both highly significant ( p < 0.0001).

The highly significant correlation between CAP A-phases and relevant pulse wave amplitude drops ( p < 0.0001) suggests a possible role of autonomic arousals as a marker of cerebral response to respiratory events and confirms the significance of PWA drops as indirect electrophysiological biomarkers of sleep instability.

The NIHSS score at admission and the mRS score at discharge were shown to be directly proportional to each other, with a highly significant link (Spearman correlation coefficient = 0.7799; p=0.0001).