“highly significant”

Linear regressions for percentage of puffy fruit on the markers solcap_snp_sl_33701, solcap_snp_sl_8669, solcap_snp_sl_100164, solcap_snp_sl_20440, solcap_snp_sl_18619, solcap_snp_sl_4963, and solcap_snp_sl_531 located within 1-LSI on Chr 1 ( Figure 2 ) were highly significant ( p < 0.0001) in the validation population.

As the prevalence of ESBL went from 3.78% to 50.80%, it increased 13.4-fold between 2003-2005 and 2018-2019, thus amounting to a highly significant increase (p < 10-4).

The statistical differences were highly significant (Chi-Square test: p < 0.0001, Fisher’s exact test: p < 0.0001, OR = 1.56, 95%CI: 1.278 to 1.904).

There was also a highly significant difference between the two groups ( p < 0.0001), with the HBV/HDV co-infection group having the highest AST mean value (89.32 IU/L) and the HBV single-infection group having the lowest (41.74 IU/L) ( Table 2 a, Figure 4 ).

The log-rank test confirmed highly significant differences between categories (χ 2 = 517.7, df = 2, p < 0.0001), while the log-rank test for trend supported a strong linear association between increasing frailty and decreasing survival (χ 2 = 514.6, p < 0.0001).

A strong and highly significant interaction was found between treatment duration and age (HR = 1.03, 95% CI: 1.02–1.04, p < 0.0001), indicating that the association between longer ICI treatment and higher risk of death is amplified in older patients.

allopatric) and recipient pond, was highly significant ( X2 = 57.9, df = 23, p < 0.0001; Table SI 4 ).

However, the separation of the survival curves was highly significant (log-rank P < 0.0001), confirming the preventive effect of the intervention over time.

The differences between the 3 strata for all-cause mortality was highly significant for all participants ( P < .0001) and when restricted to participants with CD4 ≤100 cells/mm 3 ( P < .0001).

The deviations between the torsional spaces covered are highly significant for almost all maps (p-value < 0.0001), with significantly higher mean distance-to-centroid for all MD maps (see also Additional file 1 : Table S4).

Eight patients (8.6%) had an ESS score more than 9, which is the normal cutoff limit.One month later (ESS2) the mean was10.99 ± 4.569 and ranged from zero to 22, and 60 patients (64.5%) crossed the cutoff limit,i.e., the ESS 1 was worse one month following the stroke.The change was also very highly significant ( p = 0 0.0001).

Note that MFI is displayed on a logarithmic scale, and the effect of all three anti-cytokine antibodies was highly significant (p < 0.0001) for IFN-γ.

Statistical analysis with 10 4 random gene sets of matching size (see Materials and methods) revealed these results to be highly significant (p<10 −4 , for both EP and TRE).

Consequently, all these were excluded from further analyses and the full fit to equation (1) but with leaf temperature initially included indicated a highly significant temperature effect ( P < 0.0001).

When the analysis was performed according to the lesion size, a statistically significant difference was noted in the detection rate of DWI and T 2 -TSE for both types of metastatic lesions (lesions with size <10 mm and lesions with size >10 mm), and the difference was highly significant ( p < 0.0001) for lesions <10 mm in which DWI detected 38 more lesions compared with T 2 -TSE.

The increase remained to be highly significant after exclusion of patients with 0 MUT gene from the MUT low group ( P < .0001 for KMT2D mutations in all comparisons).

The permutation tests indicated that this classification was highly significant ( p < 0.0001).

GradCAM which demonstrated that the sensitivity ( p -value < 0.0001 and p -value < 0.0001 respectively) was significantly different however specificity between HR-CAM and Zhou’s CAM did not vary ( p -value > 0.05) conversely between HR-CAM and GradCAM it was highly significant ( p -value < 0.0001).

Figure 3 shows a highly significant correlation between IFTA and the FPP_BH29 classifier with a Rho value of 0.496 ( p < 0.0001). 3.5.

Nonetheless, there was a highly significant association between the densities of the two species in mixed infection in individual animals ( p < 0.0001).

This confirmed modest though highly significant associations between circulating syndecan-1 and birthweight at 36 weeks’ (cohort 1; p < 0.0001; R 2 = 0.02, Supplementary Figure 1 E), and on the day of delivery in both the Melbourne (cohort 3; p < 0.0001 R 2 = 0.06, Supplementary Figure 1 F) and Chile cohorts (cohort 4; p = 0.0008, R 2 = 0.03, Supplementary Figure 1 G).

MAIN RESULTS AND THE ROLE OF CHANCE A highly significant correlation was found between transcriptional profiles of endometrial biopsies and pairwise UF-EV samples (Pearson’s r = 0.70 P < 0.0001; Spearman’s ρ = 0.65 P < 0.0001).

There was a trend for a relationship between advancing age and reductions in HOMA-IR (R 2 = 0.06; P = 0.09) ( Figure 5F ), with a highly significant correlation between HOMA-IR before RE-T and RE-T–induced reductions in HOMA-IR (R 2 = 0.34; P < 0.0001), irrespective of age.

Degrees of significance were assessed by three different rating values: * p 0.05 (significant), ** p 0.01 (highly significant), *** p 0.001 (extremely significant), and **** p ≤ 0.0001 (extremely significant) or non-significant ( p 0.05). 5.

In SARS-CoV-2-infected cultures, there was a transient but highly significant 3.3× decrease in relative TEER at 4 dpi (Fig. 1H ; P < 0.0001).