“highly significant”

Highly significant differences were observed among the genotypes ( P < 0.0001) across all traits. β-carotene ranged from 0.028 to 0.763 μg/g, lutein from 0.11 to 4.79 μg/g, and zeaxanthin from 0.05 to 1.69 μg/g, with total carotenoids reaching up to 9.15 μg/g.

Potassium and BP changes in the entire population Spironolactone caused a highly significant increase in the potassium level of 0.5 +/-0.5 mmol/L (p <0.0001) in the entire study population ( Table 2 ).

This downregulation was dose dependent with inhibitor KU757 and highly significant compared to controls ( P < .0001).

InsuTAG scores ranged from 0.55 to 132.07 across the whole participant group with a median (25 th –75 th percentile) InsuTAG score of 7.22 (4.04–11.33) There is a strong and highly significant positive correlation between InsuTAG and HOMA-IR (r = 0.86; p < 0.0001) (Fig. 1 ) when compared with the association between HOMA-IR and the other lipid indices, TyG index (triglycerides × glucose) (r = 0.43; p < 0.001) and TG/HDL-C ratio (r = 0.38; p < 0.001) (Table 2 ).

The difference in the ratio MUM/NSB/NBA between C x C (1.97/1.01/11.89) compared to C x NC (0.34/1.43/14.44) is highly significant ( P < .0001, Chi-Square).

Inoculation response and patterns of variation The average response to inoculation over all trials was estimated at 115 kg/ha and was highly significant (model 1 a , p < 0.0001).

The difference in heme levels between the Sham group and the ischemic core region was highly significant (P < 0.0001) ( Fig. 2 d).

Effect of perturbation direction on response The effect of perturbation direction (anterior/posterior and left/right) on the amplitude of the hand displacement was highly significant ( F (1,16) = 187, p <0.0001).

Results rejected the null hypothesis that HML10 sequences are randomly distributed in the human genome, supporting an overall non-random integration pattern through an highly significant p value ( p < 0,0001).

Results The statistical association between predicted TKV at the time of a 30% decline of eGFR and that at the time of end-stage renal disease were both highly significant ( P < 0.0001).

Because the social × force × time interaction effect was found to be highly significant ( F (15, 270) = 3.96, p < 0.0001), we subsequently performed separate two-way ANOVAs with two repeated factors (i.e., social condition and target force level) for each 1-s epoch.

Using the first 198 principal coordinates (accounting for 82.85% of the total variation), 223 individuals were successfully predicted by their ethnicities, yielding a cross-validated correct classification rate (CCR) of 71.02% as well as the highly significant canonical test statistics ( P =0.0001).

The results of quantitation show ( Fig 2D ) a highly significant difference in deviation of the α7 G lung bronchiole surface from smoothness following CS exposure from that of the control (P<0.0001).

Among the 200 primary gastric carcinomas of the referred dataset, a statistically highly significant positive association (Spearman’s rank correlation p < 0.0001) between the expression of ERBB2 and FUT3 genes was observed ( Figure 5 d).

These results indicate that the antibacterial effectiveness of SH and BF is preserved throughout the extraction process and their transformation into nanoparticles, with statistical analysis confirming highly significant differences in antimicrobial activity between sample types for both ( F (5,12) = 252.15, p < 0.0001) and ( F (5,12) = 108.81, p < 0.0001).

Two-way ANOVA revealed highly significant main effects for both analgesic group (F = 503.44, p < 0.0001, ****, η 2 = 0.329) and surgery type (F = 329.15, p < 0.0001, ****, η 2 = 0.430), as well as a significant interaction effect (F = 41.06, p < 0.0001, ****, η 2 = 0.215).

The statistical significance of the overlap between MSH2 peaks and promoters (−1000 + 0 of TSS) was calculated using the enrichPeakOverlap function and found to be highly significant ( p = 0.0001).

Overall, primary efficacy analysis showed the difference in terminal hair density change at 26 weeks from baseline between lasercomb and sham treatment was highly significant ( p < 0.0001) in both female trials (Fig. 2 a, b).

Repeated measures ANOVA followed with Fisher’s PLSD posthoc test showed a highly significant difference between negative and positive controls over time (p<0.0001), but no significant difference between the two negative control pools or the two positive control pools for Libraries I and II, despite the large number of samples (p = 0.1208 and p = 0.2659, respectively).

Taking all values together and adjusting them for period, this resulted in a negative and highly significant correlation between BWG in TN and LossBWG in the subsequent HS period ( r = −0.70, P < 0.0001).

The difference in the proportion of inhibitory and excitatory PPD cells between the L4 and L2 segments was highly significant (Fisher's exact probability test, p < 0.0001).

Additionally, OncomineTM showed a consistently higher total mutation count compared to CCLE ( Figure 4 B), with differences that were highly significant ( p < 0.0001), underscoring methodological differences in mutation calling.

At t = 80 min, normalized transfer into the lymphatic region followed the ordering 10 kDa > 70 kDa > Bodipy FL C16 > 2000 kDa dextran, with overall differences across dyes highly significant ( P < 0.0001, Brown–Forsythe and Welch ANOVA with Dunnett's T3 multiple comparisons) ( Fig. 5D ).

After exposure to 10% [6]-Gingerol, the results indicated a highly significant difference between groups (F(3, 8) = 1.01 × 1031, p < 0.0001), indicating that the microbial response to [6]-Gingerol varied significantly by species.

There was a highly significant correlation between 3‐epi‐25‐OH‐D 3 and 25‐OH‐D 3 concentrations ( r = 0.77, R 2 = 0.5911, slope = 0.0579, p < 0.0001).