“highly significant”

In the Microlearning system, an average of 82,516+-12,071 SEM learning steps per week were completed, which represented a highly significant increase compared to the same period of the previous year (15,101+-4,278 SEM; t-test: t=5,2638, p<0,0001).

In the T2DM group, out of 54 samples that showed significant binding against MG-Fib, 17 samples were highly significant ( p < 0.0001), 13 samples were very significant ( p < 0.001), and 24 samples were significant ( p < 0.05).

Results Soil biological characteristics The analysis of variance using a GLMM showed highly significant differences (P <0.0001) for the abundance of macroinvertebrate orders between distance to the crown of the tree (below or outside) (29.26 ± 2.22 and 22.66 ± 1.77 below and outside of crown, respectively, Fig 1 ).

3 Results 3.1 Influence of extraction factors on the total polyphenols content The response model was highly significant with P < 0.0001 ( Table 3 ).

Differences in TRBV usage was highly significant between cohorts showing 77% of total variation by two-way ANOVA ( p ≤ 0.0001) ( Figure 2 A).

Similar results were obtained in a meta-analysis including 23 studies that assessed the role of CSF p-tau in predicting conversion from MCI to ADD [ 76 ], where SMD was highly significant ( p < 0.0001) for the comparisons between stable MCI versus MCI converted to ADD (−1.03 [CI −1.47, −0.59]).

The difference was statistically highly significant ( P < 0.0001).

By week 1, the Col/Cs/A-PRF group showed a significant reduction in BMD (~ 650 HU) compared to the C group (~ 750 HU), with a highly significant difference ( p < 0.0001).

Furthermore, highly significant differences in ARG abundances are also observed between two sampling times (p < 0.0001, ANOVA).

The overall effect of the model was highly significant ( p < 0.0001), indicating that NH 4 + , K + , NO 3 − , BAP, and NAA significantly affected growth.

One-way ANOVA indicated that the model was highly significant (p<0.0001) with high F values (15.64).

Publication bias As demonstrated by funnel plot asymmetry, a highly significant publication bias was observed in our study using Egger’s test ( t = 4.12, P = 0.0001) and Begg’s test ( P = 0.001) (Fig. 5 A, B).

Correlation coefficients ( Table 4 ) among environments for disease severity were highly significant and ranged from moderate to high ( r = 0.54 to 0.90, P < 0.0001 ).

−2.1 ± 5.5; p < 0.005), the relationship between change in cg05575921 and change was present and highly significant for both those who managed to fully quit smoking ( p < 0.0001; adjusted R 2 = 0.62) as well as those who attempted to quit smoking ( p < 0.0001; adjusted R 2 = 0.70). 4.

- C.-Neonatal factors: - Birth weight: There is a highly significant association between mothers who smoke and a higher incidence of low birth weight (<2500 g) with a P < 0.0001 and OR: 2.18.

An overall effect of month of COVID admission on odds of ICU/HDU admission was highly significant (Wald test p < 0.0001).

Surprisingly, however, the mutant mice showed a highly significant more rapid re-entrainment in 2.46 ± 0.26 days (F 2,27 = 18.8, p = 0.0001, day 1 = day of treatment, Figures 3 A–3C and 3G).

This reduction in restriction proved highly significant in the other two groups, were we observed a 2.24 and 2.49 fold increase in the AHI-156 and CHI group compared to CG respectively (both p < 0.0001) ( Fig. 3 C).

Of these, 339 CpGs, associated with 222 genes, were also DM in the HCC samples, representing a highly significant overlap ( P < 0.0001, hypergeometric test, Fig. 2C , Fig.

Importantly, the risk stratification revealed a highly significant correlation with objective response ( P < .0001, chi‐squared test, Figure 3D ).

The mOS was NR, 24 months (95% CI 16.53–31.47), and 12 months (95% CI 9.23–14.77), respectively, with highly significant differences across BLAST-mol risk categories ( P < 0.0001; Fig. 1D ).

By 3-way ANOVA, time, environment, and age were highly significant ( P < 0.0001) for the recovery of performance on the inclined plane.

Results Data on all decided agonistic interactions produced a highly significant linear dominance hierarchy (h' = 0.97, p = 0.0001; 10,000 matrix permutations).

The genome-wide overlaps were highly significant ( P < 0.0001 by Monte Carlo simulations) with most peaks overlapping either coding promoters (35.2 to 46.7%) or putative enhancers (48 to 61.2%) ( Fig. 3C ).

An additional indication that the cluster analysis was rather successful is that, despite the high (.49-.68) pairwise correlations of the three EMP data set variables, except for the first two clusters (CLE1 and CLE2) the Bartlett test of overall independence was not significant or just marginally significant, whereas in the total sample the test was highly significant ( p < .0001).