“highly significant”

The interaction between the main effects was highly significant (Two-way ANOVA Species*Treatment p < 0.001).

While our cohort was adequate to detect the primary outcomes, as evidenced by the highly significant differences in IFIT1 expression (p<0.001) and IFN signature score (p<0.001) between SLE patients and controls that reflects meaningful effect sizes, the small sample size may restrict statistical power to detect smaller effect sizes and associations, particularly for less common clinical manifestations and subgroup analysis.

In the analysis of NHANES participants, we observed highly significant linear trends in the associations between the dietary indices and accelerated aging, quantified using both PhenoAge and KDM (overall association: P <.001; nonlinearity: P >.05).

There was a highly significant difference between groups as determined by one-way ANOVA (F(14,54) = 22.477, p < 0.001).

Concerning antenna position (Δθ), we found a significant general effect of the stimulus (RM-ANOVA, F 2,82 = 3.45, p < 0.05), of the concentration (F 7,287 = 2.24, p < 0.05) and a highly significant interaction between both variables (F 14, 574 = 3.25, p < 0.001).

Results The absorbed dose response correlation was highly significant ( R = 0.72, P < 0.001).

Results revealed a statistically significant (p < 0.05) and highly significant (p < 0.001) difference for all pairs (as shown in Table 2 ) except between cloth and N95 masks.

The clusters at the T8, Fz and Cz sites showed a highly significant difference ( p = 0.001), ( p = 0.003), and ( p = 0.001), respectively, at around 250 ms and the T7 site showed a less significant cluster ( p = 0.008) at around 250 ms for the between-group comparison.

The highly significant ( p < 0.001) threshold coefficients indicate that altering perceptions of leopards from negative to neutral and from neutral to positive is unlikely (Table 2 ). 4.

The genotypic effect was highly significant (P < 0.001) for each trait and explained a percentage of phenotypic variance between 2.6% (harvest index) and 12.6% (dry matter content).

This analysis revealed a highly significant effect of cue type on naming accuracy (β = 2.894, SE = 0.141, z = 20.48, p < 0.001).

Pearson correlation coefficients comparing NexCO with TDCO ( R 2 0.68) and NexCO with CCO ( R 2 0.71) were comparable and showed a highly significant (both P values <0.001) correlation between all obtained CO measurements.

A interaction LM including species as a factor with a power term of 0.55 for instream distance captured well the saturating response, with instream distance, species, and their interaction being highly significant (Figure 5 ; F 3,2735 = 1094.0; p < .001; R 2 adj = 0.55). 3.2 Simulation – data comparison The stochastic simulations assuming a stepwise mutation model resulted in highly differentiated spatial patterns of population genetic diversity depending on the set of parameter values used (Figure 3 , Figure S5 and Figure S6 ).

Highly significant differences ( P < .001) among the entries, parents and offspring were recorded for almost all traits.

As shown in Table 5 , there was a highly significant association between preoperative difficulty scores and intraoperative outcomes (all p <0.001).

Kaplan–Meier curve analysis showed a highly significant difference between the two groups in the occurrence of complications (HR: 29.757, P < 0.001) (Fig. 7(A) ).

Regarding P3 averaged amplitude, a multiple ANOVA revealed a highly significant main effect of stimulus type [ F (3, 57) = 7.29, P <0.001].

Experimental data are presented as ± SEM, with p < 0.05 indicating significant differences, p < 0.01 indicating highly significant differences, and p < 0.001 indicating extremely significant differences.

Both sine and cosine terms were highly significant ( p < 0.001), indicating a cyclical pattern in ASF detection, with higher prevalence during winter months and lower prevalence in summer (July, August) (Table 5 ).

The odds ratios of age for different diagnostic groups varied between 0.89 (cardiovascular disease) and 0.97 (asthma/COPD, neurological disease), and all of them were highly significant (P < .001).

The differences between men and women were highly significant for both sides ( p < 0.001).

All five analyses using the hexagon model to calculate both colour contrast and spectral purity yielded highly significant correlations with an extremely high correlation coefficient (ρ: 0.86–0.99, P < 0.001; Fig. 3A–D ).

By this procedure, a highly significant correlation between HF W-m and the pathologist’s hypoxia score in 100 patients was obtained (r = 0.78; P < 0.001, Supplementary Methods S1 ).

Fever and headache symptoms were found highly significant between the two groups ( p ≤ 0.001).

All models were highly significant ( p < 0.001) and WM was negatively associated with BE, PI, and depression, regardless of age z (BE, PI) or gender (PI, depression) effects (all p < 0.01).