“highly significant”

2 ), which was highly significant in patients without RSWA in all sleep periods ( p < 0.001 for total and NREM sleep periods, p = 0.001 for REM sleep periods).

The correlation between final adherence and MPR was highly significant (Spearman-Rho test; r = 0.62; p ≤ 0.001).

The associated p-values for all pairs were highly significant (p < 0.001), suggesting a substantial improvement in the condition.

Again, a highly significant intergroup difference ( P < 0.001) was found.

Straw return and P application had significant ( P < 0.01) or highly significant ( P < 0.001) effects on the total P (TP) content in each soil layer at each stage, and significant effects on the Olsen-P (OP) content in S1 soil layer ( P < 0.05), however, the OP content in S2 soil layer was only affected by the application of P application ( Figures 6 , 7 ).

However, tumor morphology ( P = 0.183), proximal location ( P = 0.136), and hybrid ESD ( P = 0.644) are not statistically significant, indicating that these factors do not have a meaningful impact when considered individually. In the multivariable analysis, where adjustments are made for potential confounding variables, the endoscopist remains highly significant ( P < 0.001), indicating that the effect of the endoscopist on the outcome is robust even after accounting for other factors.

Across all four fields, a highly significant correlation was observed universally between the community composition of the Green cluster and the PCS severity (JD: R 2 = 0.87, P < 0.001; JF: R 2 = 0.78, P < 0.001; TX: R 2 = 0.81, P < 0.001; JF: R 2 = 0.79, P < 0.001) (Fig. 3C ).

The result was highly significant ( p < 0.001).

The difference between the two time points is highly significant ( p < 0.001, Mann–Whitney, Fig. 2b , Supplementary Fig.

7 The higher-order interaction Relevant Stimulus × Duration × Experiment was highly significant, F (1, 58) = 17.1, p < .001, η p 2 = .228, confirming the significant difference between Experiments 1 and 2 in RT data with regard to S-S binding.

The regression model was highly significant ( F = 10.781, P < .001), as shown in Table 5 , indicating a positive association between physical activity and physical functioning.

The OR for higher TG levels was 2.742 (95% CI, 1.595–4.713), signifying a highly significant relationship ( P < .001).

Moreover, the Composite × Procedure interaction was highly significant (Wald χ2 = 41.428; df = 2; p < 0.001), demonstrating that the extent of color change induced by the procedures differed according to material type rather than affecting all composites uniformly.

Calculations of half-maximal inhibitory concentrations were performed using MS Excel and GraphPad Prism 8.0 (GraphPad Software, San Diego, CA, USA). Values of p ≤ 0.05 were considered significant and not significant (ns) if p > 0.05 [∗ p ≤ 0.05 (significant data), ** p ≤ 0.01­(highly significant data), and *** p ≤ 0.001 (very highly significant data)].

Furthermore, both RPAz and LPAz demonstrated highly significant increases (P<0.001).

All factor loadings were highly significant (p < 0.001).

Strong and highly significant positive correlations were observed among GLA and DB (r: 0.56-0.70, ***p < 0.001) across control and stress environments indicating that genotypes with larger leaf area tends to accumulate higher biomass irrespective of conditions.

The emergence of a highly significant three-way interaction (Color × Thickness × Condition; p =.001, ηp2 = 0.179) reveals a more intricate reality [ 28 ].

Cohoused control rats showed a statistically significant difference ( P < 0.01, t = 3.934), and cohoused PS rats presented a highly significant difference ( P < 0.001, t = 4.839).

Further quantification and statistical analysis of fluorescence intensity across groups demonstrated a highly significant difference between the control and dsRNA-treated groups ( P < 0.001) (Figure 4 C).

The observed π1 of each cell-type was highly significant (all P -values < 0.001) with the top permuted π1 being 7.2, 8.5 and 2 times smaller than the observed π1 in fibroblasts, LCLs and T-cells, respectively.

The overall model was highly significant ( F = 28.42, p < 0.001) and explained 53% of the variance in PSQI scores ( R 2 = 0.53; adjusted R 2 = 0.51).

For example, in Figure S9 D and its corresponding bar graphs, the wildtype α 1A AR exhibited a significant decrease starting at 50 nM (mean difference: −0.84; fold change: 0.87, p < 0.001), whereas F86M showed a highly significant decrease only at 5 μM (mean difference: −2.12; fold change: 0.66, p < 0.001).

Results: Proton pump inhibitor usage in the case group was significantly higher compared to controls (63.63% vs 24.78%, P < 0.001), and differences in Hiatus Hernia and Stress levels were highly significant between the two groups ( P < 0.001).

The developer of the scale claimed it to be highly reliable (Cronbach’s alpha = 0.830 for the scale and ranging from 0.824 to 0.882 for the subscales; item–scale and item–total correlations were reported to be highly significant, p < 0.001) and valid (CFI = 0.990; TLI = 0.983; RMSEA = 0.045).