“highly significant”

A strong, highly significant correlation was observed between sensor response (R) and stomatal conductance (SC) (r = 0.74, p ≤ 0.001; Figure 7 ).

When age was added as a covariate, the associations remained highly significant ( P < 0.001).

The analysis of molecular variance (AMOVA) showed that total variation was highly significant ( p < 0.001) within individuals i.e. 63.17% (Table 6 ).

An overall analysis revealed a highly significant interaction between the effects of NMDA/aCSF, lesion condition, and collection interval (F 10, 140 = 9.28, P < 0.001).

The pattern of isolation by distance (IBD) became highly significant after the heatwave (Mantel tests Z = 691.70, r = 0.92, P < 0.001) but was not significant before (Mantel tests Z = 500.99, r = 0.40, P = 0.17).

In general, a highly significant change in HR from baseline after cutting of the spermatic cord was discovered in groups P (p < 0.001), L (p = 0.002), B (p < 0.001) and M (p < 0.001) compared to that in group NaCl.

The decrease of YYY and YYD was highly significant between 2002–2003 and 2017 (p<0.001).

The association between self-reported thyroid diagnosis and enlarged thyroid on examination was highly significant (OR = 5.9, 95% CI = 2.8-12.5, p < 0.001).

Correlations Between the Clinical Judgment on Each of the Three Dimensions of SA and the Score on the Corresponding Subscale of the SAMAS Results of Pearson’s r correlation analyses show a highly significant positive correlation between the declarative score obtained on the SAMAS and the clinical judgment of declarative SA ( r = 0.67; p < 0.001) as well as between score for the anticipatory items of the SAMAS and the clinical judgment of anticipatory SA ( r = 0.62; p < 0.001).

In OFT, reduced locomotor activity/exploratory behavior was evidenced by a highly significant decrease in the number of rearings ( p < 0.001; Figure 7B ), line crossings ( p < 0.001; Figure 7A ), and time spent in inner squares ( p < 0.01; Figure 7C ) in the infected group as compared to the control group.

In contrast, the FMA measurement itself showed a highly significant difference ( p < 0.001), with median values of 32.1° in the hyperdivergent group, 15.9° in the hypodivergent group, and 24.5° in the normodivergent group, which is expected given that these groups are defined by their FMA values.

Corycaeus abundances did not differ by time ( P = 0.132), but did have highly significant patterns of increasing abundances moving away from the substrate ( P < 0.001, Table III , Fig. 2 D).

Laboratory parameters showed several notable differences among groups, with some biomarkers showing highly significant variations ( p < 0.001).

Au-GSH NP Treatment Increases Expression of A2M Protein in Canine OSA Cells Simple Western analysis revealed a highly significant increase in A2M expression in OSCA-8 cells ( p ≤ 0.001) and a significant increase in OSCA-32 cells ( p ≤ 0.05) following treatment with Au-GSH NPs, as compared to the non-treated groups ( Figure 7 ). 2.5.

The proportion difference was highly significant (p<0.001) as depicted in Figure 3 .

These differences were highly significant ( p < 0.001) with a large effect size (V = 0.54).

All the agreements were found to be highly significant ( P < 0.001) [ Figures 1 - 4 ].

The difference between the malignant and premalignant groups was highly significant ( P < 0.001). α-Smooth Muscle Actin-Positive SMF Staining Patterns Immunomorphometric measurements revealed that α-smooth muscle actin-positive SMF were scarce in cases of hyperplasia and dysplasia, irrespective of the severity of the latter (Fig. 1 a and b).

The two-way mixed intraclass correlation coefficient was highly significant ( ρ = 0.97, F 15, 30 = 29.9, P <0.001) indicating that that the share of paternity of males at different developmental stages are highly correlated ( Figure 1 ).

A highly significant effect of event category was found (F(3,38) = 17.84; P < 0.001).

The effect of growth class was highly significant (p<0.001) in the statistical model applied.

The difference in prevalence among the seasons was highly significant (p<0.001) ( Table-2 ).

Cross-correlation analysis showed that the correlation between freezing and reactivations was highly significant (r = 0.9657, p<0.001).

Among the analyzed metabolites, ten were highly significant ( p < 0.001, Table 2 ) while 38 showed significant differences ( p < 0.05).

We found highly significant correlations (from r = 0.63 to r = 0.89, p < 0.001) between estimated percentages of symptomatic plants in independent trials (data not shown).