“highly significant”

Subgroup analyses showed that correlations between LVEF and metabolite ratios were highly significant in the IHD group; lactate/bicarbonate (r = −0.9, p = 0.01); lactate/TC (r = −0.9, p = 0.01); and bicarbonate/TC (r = 0.8, p = 0.03) ( Fig. 2 ).

From the environmental factors, Hulun Lake and its tributaries were determined to be weakly alkaline (pH: 7.96∼8.9), and there was a highly significant difference among the three sites (Kruskal–Wallis, P < 0.01).

Subject S6 had three contrast sets with a highly significant spread ( p < .01), with the Octave 4 scores generally lower than the Octave 3 scores.

A 1.5-fold change expression cut-off for ratio experiments was applied together with anti-correlation of dye-swapped ratio profiles, rendering the microarray analysis highly significant ( P < 0.01), robust, and reproducible 48 .

Results of the LMM analysis ( Table 2 ) showed that participants in the intervention group had a highly significant reduction in stress levels compared with the control group (p = 0.01, d = 0.15) after the intervention, which was maintained at the 19-week follow-up (p < .001, d = 0.18).

By analyzing the published transcriptomic database of UCB ( GSE31684 ) from GEO, 15 probes covering 13 genes related to structural molecule activity (GO:0005198) showed highly significant alteration ( P < .01), either upregulation or downregulation, associated with a more aggressive disease.

As shown in Table 2 , the differences between SES and U-Net, U-Net++ are highly significant (all p < 0.01), and the differences between SES and Attention U-Net, TransUNet are significant ( p < 0.05).

Moreover, our results for TC and LDL cholesterol showed highly significant difference (p<0.01) between diabetic control (CD) and diabetic groups treated with honey (DH), but application of Tualang honey did not show any significant difference between CD and DH groups.

In this study, there was a highly significant correlation between WSOC and Cl − (r 2 = 0.94, p < 0.01), suggesting that fossil fuel combustion contributed to WSOC in PM 2.5 .

Double asterisk represent highly significant differences (**, P<0.01; Student’s t test).

A highly significant positive correlation was observed between amino acids and chemical characteristics ( R = 0.931, p < 0.01), while a negative correlation with salt stress was also found ( R = − 0.915).

Our model demonstrate that the preservation of the biocultural fund- represented here as Biocultural Savings [S]- is a positive and highly significant predictor of social well-being ( β = 0.685, p < 0.01), alongside a positive impact from the indigenous population index ( β = 0.015, p < 0.1), suggesting that cultural identity plays a foundational role in regional resilience.

The final model for this species found that there was a highly significant probability of S. clava being present in a marina as seawall length increased ( β = 3.31, p < 0.01), total pontoon length exceeded 1100 m ( β = 2.87, p < 0.01) and where marinas were classified as ‘open’ compared with ‘enclosed’ ( β = 2.24, p < 0.05).

Significance was set at an alpha level of P < 0.05 and a highly significant level of P < 0.01, with the Holm correction, applied for the post-hoc test.

This difference was highly significant ( P < 0.01).

The area variable was highly significant (likelihood ratio test P < 0·01), indicating significant spatial heterogenity of A. phagocytophilum prevalence.

Meanwhile, the protein expression of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and succinate-CoA ligase (SUCLG1) were highly significant ( p < 0.01).

The highly significant results with nominal p values ≤0.01 (both Wilcoxon and t tests) are the distributions of several ligand features including MW, lipophilicity, and solubility measures in the structures for which the empirical docking tools perform the best.

The results presented in Table 4 indicate the total models of the regression equation reach a highly significant level ( P < 0.01).

Results Phenotypic trait variation ANOVA based on ABD revealed highly significant (P < 0.01) variation among genotypes for all studied traits across E1, E2, E3 and CE under cold stress conditions (Table 2 ).

Differences were considered statistically significant at p < 0.05 and highly significant at p < 0.01.

Compared with the control (0 mg/kg), LPS injection at 4 and 8 mg/kg increased plasma LPS concentrations ( P < 0.05), and the difference between the control and the 8 mg/kg LPS treatment was highly significant ( P < 0.01).

In the present experiment, the difference between tributyrin treatment means was considered highly significant at P < 0.01 and significant at 0.01 ≤ P < 0.05, while 0.05 ≤ P < 0.10 was considered a tendency.

The positive relationships between Cd, Pb, Ni, Cr, Zn and Cu were all highly significant (p < 0.01 or p < 0.05).

It is noteworthy that tumor size was significant (when available) for all datasets while ER status was highly significant (p-value < 0.01) in three out of five datasets.