“highly significant”

Sensitivity analyses using restricted cubic splines (RCSs) further confirmed a highly significant nonlinear relationship between ALI and all-cause mortality across all datasets ( P < .001; Figs.

HDLC and TG showed the most robust associations, remaining highly significant across all models (HDLC Q4 OR = 0.15, TG Q4 OR = 5.53 in Model 3, both P < .001), indicating independence from demographic, lifestyle, and metabolic confounders.

For each cementation solution concentration, correlation analyses were based on n = 15 independent samples (five heavy metal concentration levels × three replicates), and the strong correlations (|r| > 0.8) were highly significant (p < 0.001).

The data demonstrated excellent suitability for factor extraction, with a Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy at 0.872 and a highly significant Bartlett’s test of sphericity (p < 0.001).

Moreover, silymarin (group V) pretreatment produced highly significant reduction ( P < 0.001) in serum AST, ALT, ALP, γ-GT and bilirubin level.

The covered/hulless trait had a highly significant ( p ≤ 0.001) effect on all traits but protein.

The Kaiser–Meyer–Olkin (KMO) measure indicating good sampling adequacy (0.837) and the highly significant Bartlett’s test of sphericity (11,959.726; degrees of freedom = 171, p < 0.001) suggest that the dataset was suitable for factor analysis.

Regarding the phytonutrient scale, both mean scores and categorical distributions showed highly significant differences across DDS groups ( p < 0.001).

The change in vitamin D levels (delta) between the groups was highly significant ( p < 0.001), indicating effective supplementation.

Consistent with the raw data, there was a highly significant main effect of rearing condition [F (1,31) = 25.731, p < 0.001] and drug treatment [F (2,30) = 9.795, p < 0.001] but no interaction between the two [F (1,31) = 0.844, p = 0.365] on the D2 discrimination ratio.

Living donor type exhibited a highly significant ( p < 0.001) positive impact on the time to graft failure.

However, unlike SB, the best racing time as a 3- and 4-year-old was highly significant ( P < 0.001) with an HR of 1.12.

In both sexes, highly significant correlations were found between A S and the number of S copies in the genotype (Pearson’s correlation coefficient: r = 0.82, t = 16, df = 117, p < 0.001 and r = 0.84, t = 15, df = 96, p < 0.001, for females and males, respectively), and between A R and the number of R copies in the genotype ( r = 0.96, t = 37, df = 117, p < 0.001 and r = 0.93, t = 26, df = 96, p < 0.001, for females and males, respectively; S2 Fig ).

No significant day effect was observed ( P = 0.476), but there was a highly significant difference in consumption of the two diets ( P < 0.001).

This resolution was confirmed by a MANOVA performed on the comprehensive comparative dataset, which revealed highly significant genetic differentiation among the three major clinical Sporothrix species (Wilks’ lambda, F(30, 46) = 65.902, p < 0.001).

The relationship between Arousal and Dominance indicated a rather weak but highly significant quadratic fit, r = 0.25, p < 0.001, accounting for only 6% of the variance.

There were highly significant differences among the three experimental groups ( P < 0.001, Figure 9A ).

We found that heterozygous parents produced a highly significant excess of heterozygous genotypes for markers within the MUP cluster (χ 2 = 71.2, df = 2, p < 0.001), whereas for markers flanking the cluster, offspring genotypic frequencies did not differ from Mendelian expectations (χ 2 = 3.52, df = 2, p = 0.17, Supplemental Fig.

The molecular identity of these ‘other’ proteins were further dissected employing the DAVID analysis tool and the highly significant (p < 0.001) ones largely represented proteins involved in structural molecule activities (16%), cytoskeletal protein, actin, RNA, calcium ion, unfolded protein, collagen, integrin, extracellular matrix, enzyme and calmodulin binding (13, 11, 9, 10, 3, 1, 2, 1, 5 and 2%, respectively) and other structural constituents (11%), as shown in Fig. 5b .

For PDGF ( Figure 2 ) and TNF- α ( Figure 4 ), the freeze–thaw effect was not significant ( p = 0.283, p = 0.401), while the differences between PL samples were highly significant ( p < 0.001, p < 0.001).

Chest radiographs were performed in all cases: 22 of 27 cases (81.5%) of severe disease (group I); only two patients pleural effusion was detected on admission, and only 10 of 122 cases (8.2%) of mild AP (group II) diagnosed to have pleural effusion, this difference was statistically highly significant (P < 0.001).

For all cases, significance level was established at α = 0.05, and defining 0.01 ≤ p < 0.05 as statistically significant (*), 0.001 ≤ p < 0.01 as highly significant (**), and p < 0.001 as whole-level significance (***). 5.

As treatment progressed, the between-group differences became progressively significant: at T1, LysoPC(18:1) and arachidonic acid showed significant differences ( p < 0.01), while L-tryptophan and citric acid reached p < 0.05, and at T2, all four biomarkers showed highly significant between-group differences (LysoPC(18:1) and arachidonic acid: p < 0.001; L-tryptophan and citric acid: p < 0.01).

The effective degrees of freedom were 4.95 (single infection) and 4.78 (multiple infection), with both smooth terms highly significant ( P < 0.001), supporting non-linear postoperative trajectories.

The linear mixed-effects model revealed that this difference was highly significant (F(1,427) = 14.62, p < 0.001, Cohen’s d = 0.32) (Fig. 5 A).