Excerpts

While tool rotation speed alone did not emerge as a significant factor ( p = 0.0885), suggesting a nuanced influence on UTS, its quadratic term was highly significant ( p < 0.0001), indicating a complex, nonlinear relationship with UTS.

This analysis revealed a highly significant (p<0.0001) relationship between the two assay procedures with a model coefficient of 1.839 and a resulting odds ratio (OR) of 6.29 (95% confidence interval=3.22≤OR≤12.3).

An ANOVA evaluating differences in water potentials of the seat patches and blood of all six species was highly significant ( F 11, 103 = 53.46, p < .0001) with a significant difference between water potential of seat patch and blood ( F 5, 109 = 95.36, p < .0001), and a significant interaction between species and source of water potential (viz., seat patch or blood); ( F 5, 109 = 17.89, p < .0001).

The linear correlation between estimated and measured glycemia was highly significant (r = 0.68; p = 0.0001) in the trained group and not significant in controls (r = -0.12; p = 0.32).

By 72 hours, a highly significant (p < 0.0001) significant reduction in p-AKT/AKT levels was noted across all treatment groups.

All neurons in all animals showed a highly significant coefficient of determination between their response on day 1 and day 8 ( p < 0.0001, R 2 = 0.7 to the identity line, Supplementary Fig. 7d ).

P14 also showed a trend of progressively increasing fatigue during AB-LT training (first vs. last condition, p < 0.0001, d = 2.93) ( Figure 2 b).

Significance was indicated as follows: not significant (ns): P ≥ 0.05; significant: * P = 0.01 to 0.05; very significant: ** P = 0.001 to 0.01; extremely significant: *** P = 0.0001 to 0.001; and extremely significant: **** P < 0.0001.

For VEGF, a highly significant effect of Time was found ( p < 0.0001), while the effects of Lactation Phase ( p = 0.1173) and the interaction ( p = 0.4497) were not significant.

Analysis of molecular variance (AMOVA) revealed that majority of the genetic variance originated from variation among individuals within populations (92.78 %) and was highly significant (FST = 0.07219, P < 0.0001).

There was a highly significant inverse correlation between pulsatile stress and baroreflex gain in patients with type 2 diabetes ( r = −0.719; P = 0.0001) but not in overweight/obese control subjects ( r = −0.272; NS).

Furthermore, the regression models used to compute the correction equations for both sexes were highly significant ( F (1, 188) = 1185.8, P < .0001 and F (1, 108) = 593.0, P < .0001 for females and males, respectively) and the CV for the estimate from either model was less than 7.0, indicating that the level of precision was well within acceptable limits.

This was a highly significant ( P < 0.0001) difference.

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

Effect of temperature on yield traits The analysis of the variance (Table 4 ) showed that the variety had a very highly significant effect ( P ≤ 0.0001) on the days to 1% flowering, the days to 50% flowering, the days to maturity of grains, the width of grains, the weight of 1000 grains and the average yield per plant.

The correlation between NEPSY raw scores (Response set) and BMT- i auditory attention results (“conflict” task) was highly significant [ r = 0.71 (0.53–0.84); p < 0.0001].

There was a moderate but highly significant positive correlation between lifetime psychedelic use and nature relatedness at baseline (r = 0.306, p < 0.0001, Figure 1 ), reflected by the mean nature relatedness values ranging from M = 3.52 (SD = 1.03) for psychedelic-naïve participants to M = 4.45 (SD = 0.55) in individuals who indicated more than 100 occasions of psychedelic use.

Beta diversity analysis reveals a highly significant difference in community membership between the breast and skin tissue microbiota, as indicated by unweighted UniFrac analysis (MiRKAT P < 1e-4, Fig. 2E ), but the difference is not significant in weighted analysis (MiRKAT P = 0.14, Fig. 2F ), indicating that the major difference lies in the rare or less abundant lineages 22 .

The Friedman test was highly significant for Information Extraction (Canal Course) ( χ 2 (3) = 61.09, p < 0.0001), with a large effect size ( W = 0.68).

Between-treatment differences remained highly significant at the 24-hour time point regardless of baseline WHO/ECOG performance status (performance status ≤2: 0.87 vs 17.79 hours; P < 0.0001; performance status >2: 1.46 vs >24 hours; P < 0.0001) ( Figure 2 B).

The test showed a highly significant difference between groups (χ2 = 52.69, df = 3, p < 0.0001), indicating that the species distribution is not uniform across the groups.

The bacterial load difference mentioned above was highly significant (**** p < 0.0001) in all these groups.

Especially the JFM average patterns attain a very strong and highly significant correlation of r = 0.98 ( p = 1.0 × 10 - 4 ).

In the overall analysis of patients who received MPS and IVMP, there was a highly significant difference (3.9 ± 1 vs. 2.4 ± 1 p < 0.0001).

While the correlations between SPAD measurements and disease severity scores were highly significant ( P < 0.0001), they were relatively weak except for SM, which is a binary metric in which only disease severity levels of 1 (not affected) or 5 (severely affected) were observed.