“highly significant”

Component 2 displayed a biologically plausible HDR, and a highly significant main effects Time, F (19, 874) = 84.31, P < .001, η p 2 = .65, clearly meeting the requirement of temporal validity.

This showed a highly significant correlation between genes’ expression levels, which were determined by the two methods (Pearson R = 0.913, p < 0.001; Figure S2 ).

The same pattern was found in EVTs ( Figure 1 D–F) and foetal endothelial cells ( Figure 1 G–I), where statistical analysis proved the downregulation to be highly significant ( p < 0.001). 2.2.

The differences between the two groups at second autoclaving were also found to be highly significant ( p ≤ 0.001).

(2) generalized linear mixed model (GLMM) and structural equation models revealed that vegetation type exhibited a highly significant effect on soil aggregates ( p < 0.001), including both karst soil and vegetation-restored soil, during a homogeneous garden experiment.

More notably, a highly significant interaction between these two factors was detected (χ 2 = 102.188, 3 d.f., P < .001, = 0.953).

Simultaneously, the composition of the Fusarium community in infested, healthy and control soils was quite different, and Fusarium OTU1450 had a highly significant difference among these soils ( p < 0.001).

La max also demonstrated a highly significant positive correlation with mean power output (r = 0.74, p < 0.001).

When the effect of patient insurance status was controlled the association remained highly significant ( r = 0.392, n = 202, p = 0.001).

For emotional, sexual, physical, and any IPV, the likelihood ratio χ2 statistics showed a marked increase and remained highly significant ( p < 0.001).

Reproducibility of the assessments was statistically highly significant (intraclass correlation coefficient 0.921, p < 0.001).

The main effect of condition was also highly significant (F(1, 1545) = 34172.94, p < 0.001, η p 2 = 0.957), showing that deviant stimuli elicited stronger θ-β coupling than standard stimuli in both groups.

The G -test for goodness of fit detected a highly significant deviation from a random distribution ( G (9) = 61.55; p < 0.001), with all but O 7 chromosome segments covered by inversions having a higher than expected number of genes.

Results Analysis of variance The combined analysis of variance (Table 2 ) showed that genotype (GEN) and environment (ENV) had a highly significant (p < 0.001) effect on all the studied traits, whereas the effect of genotype was significant on all the studied traits except for CT.

Highly significant improvement in overall SPICE-R2 scores between the pre- and post-surveys was noted ( p < 0.001; 95% CI – 6.65, − 3.23) indicating that this IPE experience successfully enhanced students’ understanding and appreciation of interprofessional collaboration.

Therefore, the analysis indicated that the heterogeneity in dietary practices among patients with type-2 diabetes mellitus, based on the countries where the studies were conducted, was found to be highly significant, with a P -value of ≤ 0.001.

A highly significant overall effect of time on albumin levels was observed (p<0.001).

Comparing patients based on sarcopenia according to the above-mentioned classification revealed a highly significant difference in median OS of 34.5 vs. 10.3 months ( p < 0.001) but no significant difference according to cPFS (27.7 vs. 16.3 months, p = 0.354) or sPFS (17 vs. 8 months, p = 0.35).

Correlation analyses are presented in Table 3 . According to this analysis, there is a negative and highly significant relationship between GSDMD and TAS (r=-0.748, P =0.001).

Figure 1 depicts the linear correlation between maternal and neonatal telomere lengths, demonstrating a strong positive relationship (r = 0.750, 95% Confidence interval 0.548- 0.837) with a highly significant P -value ( P < 0.001), indicating a robust association between the telomere lengths of mothers and their neonates.

Based on two-way ANOVA, there was a highly significant interaction between treatment and genotype ( F (1,36) = 41.78, p < 0.001 ).

FL and FS showed a highly significant (p<0.001) and strong correlation with values for the Pearson's correlation coefficient of 0.84 for the whole population, and 0.86 and 0.83 for the subpopulations of Cabrils and Zaragoza, respectively.

Statistically, this difference is highly significant with p < 0.001, that is, the probability that both groups come from the same collective is less than 1:100 000.

Similarly, A versus D showed a highly significant difference under both methods, t ( df ) = 8.30, p < .001.

A highly significant model was obtained (Chi-square = 16.288; p < 0.001) in which only the variable initial concentrations of the two gases remained, for CH 4 (Exp B = 0.974, 95%CI 0.958–0.991; p = 0.020) and for H 2 (Exp B = 0.986, 95%CI 0.974–0.998; p = 0.010), indicating that the probability of treatment success is lower with increasing concentrations and much higher for CH 4 -SIBO ( Figure 2 a) than for H 2 -SIBO ( Figure 2 b). 4.