“highly significant”

lniHDI (Income Human Development Index) With a p -value of 0.0000, this variable is highly significant ( p < 0.01), suggesting that the data is stationary. lnMPI (Multidimensional Poverty Index) with the p-value of 0.0001 shows high significance ( p < 0.01), confirming the stationarity of this variable. lnNatSav (National Savings) with the p -value of 0.0000 indicates strong evidence ( p < 0.01) tha

The differences between oxygen consumption of population H and L of 5 × 10 5 cells were statistically highly significant from 5 h to 24 h of cultivation ( P < 0.01) and significant between 2 and 5 h ( P < 0.05).

Compared with the control group, the lecithin group presented highly significant reductions in ACC expression (p < 0.01).

Trial effects were also highly significant ( P < 0.01), with higher odds of lesion apparition in the USA and Spain trials, with OR of 8.39e+0 [2.99e+0–2.83 e+1] and 3.89e+1 [1.28e+1–1.53e+2], respectively.

A highly significant ( P < 0.01) association with QTL on chromosome 3A indicated that e-LYC3A is functionally associated with variation in b ∗ .

GC and GC 1,2S were also compared with GC 3S and highly significant positive correlations (GC 1,2S versus GC 3S : r = 0 . 747, P < 0 . 01; GC versus GC 3S : r = 0 . 828, P < 0 . 01) were observed.

The results showed that the estimated variances of genotype, environment, and genotype-by-environment interaction were all highly significant ( p < 0.01).

Highly significant differences ( p ≤ 0.01) in ZEN concentrations were not noted only in the ascending colon.

The following thresholds were used for interpreting p -values: p ≤ 0.001 indicates very highly significant results (strong evidence); 0.001 < p ≤ 0.01, highly significant; 0.01 < p ≤ 0.05, significant at the 95% confidence level; 0.05 < p ≤ 0.1, marginally significant (trend); and p > 0.1, not significant.

The peak of the PPD1 expression in the NIL carrying the Eps-A m 1-l allele occurred 4 h earlier (Zeitgeber time ZT4) than in the NIL carrying the Eps-A m 1-e allele (ZT8), and those differences were highly significant ( P < 0.01, Fig. 3d ).

ANOVA revealed a highly significant interaction of test time point and diabetes status in alertness without audio warning ( F (1, 28) = 7.0; p = 0.01; effect size η 2 ( eta-squared ) = 0.2) and alertness with audio warning ( F (1, 28) = 4.9; p = 0.03).

The level of significance was set at p <0.05, and for highly significant at p <0.01.

Significance levels are marked with asterisks: * denotes significant correlations ( p < 0.05) and ** denotes highly significant correlations ( p < 0.01). 2.8.

Statistical significance was set at P < 0.05, with highly significant differences at P < 0.01.

Differences between LVEF values at the time of diagnosis and at the end of WCD wearing time were highly significant ( P < 0.01).

Within the cohort of identified known miRNAs, 608 were observed to have highly significant differential expression ( P < 0.01), and 1,014 exhibited significant differential expression ( P < 0.05) when comparing between the experimental and control groups.

Mean plasma nitrite concentration as a marker of NO-production 20 was not different for the first 2 days but did show a highly significant increase after 7 days (from baseline 14.2 ± 1.1 μM to 82.3 ± 11.7 μM at 7 days, p < 0.01; figure 1 C ).

These differences represented a highly significant time savings and variance between each group (p<0.01 calculated via the Wilcoxon signed-rank test).

Among them, nanH exhibited a highly significant difference ( p < 0.01), whereas nanI and nanJ showed significant differences ( p < 0.05).

Differences were deemed statistically significant at a threshold of p < 0.05 and highly significant at p < 0.01.

Exploring the relation between BCG vaccination scar and TST, results showed a highly significant relation ( P =.01), meaning that those with a BCG scar (18, 8.2%) had a much lower chance of a positive TST than those without a BCG scar (17, 22.4%) ( Table 2 ).

Furthermore, correlation analysis between the expression of the 13 identified genes and the levels of the 8 metabolites revealed highly significant correlations between FcMS (FC11G00178) and 3 of the metabolites, each with correlation coefficients (r) of at least 0.95 ( p < 0.01).

Significant differences were considered at p<0.05 and highly significant differences at p<0.01 .

Differences were considered statistically significant with * P < 0.05 and highly significant with ** P < 0.01.

A highly significant positive association was observed between PY and SD, with an R 2 value of 79.34% and adjusted R 2 of 78.51% ( p < 0.01).