Work-related fatigue was not different in the two groups, while sleepiness was much greater in ARs than in OMRs: the difference was highly significant ( p < 0.001).
← all phrases
“highly significant”
Sighted at
p=0.09
In the literature
With the exception of digit span forward ( p = 0.2), all the primary and secondary outcomes were highly significant (all p < 0.001). 4.
This highest concentration was recorded in the salon number 12 during the intense and simultaneous use of sprays for more than one customer at a time There was a highly significant difference between salons in the median indoor respirable PM concentrations (Kruskall–Wallis p < 0.001, power 100%) ( Figure 2 ).
For ICIQ-SF, the ANOVA revealed a highly significant effect of time ( p < 0.001), and for the group-by-time interaction approached statistical significance ( p = 0.06).
There was an overall highly significant increase in all TAG species in total compared to the control group to 448.1 ± 3.9% ( p ≤ 0. 001) ( Figure 1 D).
We found a salience of fast respiratory waves with a period of 3.1 s (corresponding to ~ 0.32 Hz) and a highly significant ( p < 0.001) top-down information-flow from BOLD oscillations in the MFG to the brainstem.
The cross validation of the model using CV-ANOVA provided highly significant results (F = 10.3017, p < 0.001).
The Mantel test conducted to assess the statistical significance of the correlation between matrices of distances between both sexes showed a strong and highly significant relationship (r = 0.70, p < 0.001).
The machine learning–based correlation matrix consolidated the findings of the non-imputed matrix in general; most importantly, it also produced a very highly significant ( p < 0.001) negative correlation between age and EI.
Timepoint, location, and the timepoint x location interaction were highly significant in accounting for differences in gene co-occurrence patterns (PERMANOVA, P<0.001 for all), although timepoint explained the most variation (timepoint R2 = 0.40, location R2 = 0.07, timepoint x location R2 = 0.04).
Correlation study As shown in Figure 9A , using Spearman s correlation, there was a highly significant negative correlation of strong association between the sciatic function test and latency period of the hot plate test ( r = 0.912; p < 0.001), indicating that both motor and sensory recovery are strongly correlated.
Looking at the p -values of the regression features of our BL-sur-cos model, we observe that both cosine similarity and surprisal are statistically highly significant at p < 0.001 (for a complete analysis of regression features significance scores see Appendix 1 ).
For peak and mean velocities, significantly worse results were achieved (Table 3 ). The results from the Bland-Altman plots were confirmed by a highly significant correlation between 4D and 2D stroke volumes ( r = 0.96, p < 0.001) (Fig. 4a ).
Significant figures Suggestive significance: 0.05 < p value < 0.10; Significant: p value < 0.05; Highly significant: p value < 0.001.
1 A for statistical groupings.) Notably, there were no significant differences in alpha diversity values between the effluent samples at O’Brien and Calumet, or between the sewage samples at O’Brien and Calumet, although alpha diversity differences between the sewage and effluent types were highly significant ( p < 0.001).
The difference in height between the two study groups was statistically highly significant ( p < 0.001; Table 1 ).
All RA peak strain and RVFWLS correlation relationships were highly significant (RA strain‐PVR ρ −0.34 [−0.50 to −0.1], RA strain‐mPAP ρ −0.31 [−0.47 to −0.14], RVFWLS‐mPAP ρ 0.54 [0.39–0.66], RVFWLS‐PVR ρ 0.57 [0.43–0.68]; all p < 0.001) (Figures 4 and 5 ).
Readiness to quit had small but significant positive correlations with identified regulation for each of the substances measured (rs = 0.118 – 0.262, all p s < 0.05), and small but highly significant negative correlations with external regulation for alcohol ( r = −0.119, p < 0.001) and stimulants ( r = −0.178, p < 0.001).
More importantly, the bioassay can detect the variation in scarcely diluted human DNA, collected from 23 donors, and can reliably distinguish between heterozygous (TG genotype) and homozygous (GG genotype) in respect to the control subjects (TT genotype), where the differences are statistically highly significant ( p -value < 0.001).
The correlation in the present sample was slightly weaker ( r = −0.34) but highly significant ( p < 0.001) and may be interpreted as a sign of good convergent validity ( Table 2 ).
Median travel distance to the ED was 5.1 km (mean = 7.3 km, P25 = 3.4 km, P75 = 7.5 km) for families who adhered to the orientation, compared to a median 6.1 km (mean = 11.0 km, P25 = 4.5 km, P75 = 16.0 km) for parents who did not follow the referral, with a highly significant difference in distribution ( p = 0.001).
In line with this finding, a highly significant and negative correlation was observed between die pressure and extruder die temperature (r = −0.8512, p < 0.001).
The difference was highly significant for all general and other care tasks ( p ≤ 0.001).
Phenotypic Performance and Variance Components Very high heritabilities across locations for both seed yield (0.90) and protein content (0.94) in conjunction with a lower, however highly significant ( p < 0.001), genotype-by-location interaction variance component ( σ G L 2 ), illustrate a moderate level of genotype-by-location interaction ( Table 2 ).
The results show that the factor loading for each item is highly significant ( p < 0.001). 5.2.