“highly significant”

Repeat IV administration of hMUT mRNA at 0.5 mg/kg every 2 weeks resulted in a pronounced and highly significant improvement in survival in severe MMA mice (n = 6/group, p < .001 from log-rank test, Fig. 3 a).

This negative relationship with depth was highly significant (LRT: χ 2 [1] = 34.76, p < 0.001), and explained 95% of the variability in the data ( R 2 = 0.95).

For the non-identical cognates, the correlation was similarly highly significant but slightly less strong [ r (41) = .810; 95% CI: .674–.893, p < .001].

Results: Administration of Basti and Arjuna Punarnavadi Ghanavati were effective in reducing both systolic and diastolic blood pressure level which was highly significant ( P < 0.001).

Conclusion: The study yielded statistically highly significant results in symptoms such as cracks associated with pain ( P < 0.001), Rukshata (dryness) ( P < 0.001) and Kandu (itching) ( P < 0.001).

The results showed that when FT4 concentrations were below 11.14 pmol/L, the negative correlation between FT4 and CAP was highly significant (P<0.001).

Sushruta and Charaka contributed separate chapter on Arsha and included in the list of grave disease.[ 7 , 8 ] After AKA, bleeding per rectum stopped completely in second week while after SCL, bleeding per rectum completely stopped in 3 rd week [ Table 2 ], which was highly significant ( P < 0.001) [ Table 3 ].

Based on frequencies in the Control gnomAD, the OR for the rs1687005 risk T-allele was 4.57 (95% CI 2.33–8.97) and the odds ratios for the rs12722600 risk T-allele was 9.88 (95% CI 5.71–17.09), both highly significant ( p -value < 0.001).

The increase in variance was highly significant: F (4, 116) = 5.94, p < .001.

There was, however, a highly significant effect of the used odour on the first interruption time (GLMM: estimate=1.19, z=3.7, p< 0.001).

Kaplan–Meier survival curves show that nuclear p65 expression tended to be associated with an increased risk of BCR in the Test-TMA cohort ( p = 0.06) ( Fig 2A ), and this association was highly significant in the Validation-TMA cohort ( p < 0.001) ( Fig 2B ).

Statistical analysis The ANOVA results revealed that siderophore production by SB10, JC13 and IFM22 was highly significant at pH 7 [F (4, 14) = 62.79, 47.018 and 50.231, respectively; P < 0.001], inoculum volume at 15% [F (4, 14) = 102.0, 50.786 and 53.7, respectively; P < 0.001] and agitation speed at 150 rpm [F (3, 11) = 32.571, 181.778 and 31.720, respectively; P < 0.001].

The treatment by time interaction was highly significant ( p < 0·001) showing that tumour growth curves were different among the three groups.

During the study period, statistically highly significant ( p < 0.001***) increasing trends were found for examinations, anaesthesia and the total number of treatment measures, and a significant ( p < 0.001***) decreasing trend in restorative treatment were found for all the young.

A two-way nested ANOSIM revealed a highly significant but small (low R value) difference between sites within a cove (global R = 0.25 P < 0.001).

Our results identified several factors associated with teenage pregnancy: age was a significant factor, with teenagers aged 18–19 years having a much higher likelihood of pregnancy (12.3%) compared to those aged 15–17 years (1.6%), with a highly significant p < 0.001.

decussatus samples using SPSS 27 and the data showed highly significant differences between the two species ( p < 0.001).

In the 80 mg/kg group, the tumor volume was 671.82 ± 435.43 mm3, and the relative tumor proliferation rate was 58.03%, showing a highly significant statistical difference compared to the model control group ( P < 0.001).

The effect of Block was highly significant, F (19, 304) = 21.175, p < 0.001, η 2 = 0.57.

Statistically significant changes were classified as significant ( ∗ ) where p < 0.05, more significant ( ∗∗ ) where p < 0.01, and highly significant ( ∗∗∗ ) where p < 0.001 as compared with control group. 3.

We observed a highly significant correlation between mean IgG IF and the amount of M-CAI (Spearman’s ρ = 0.417, p < 0.001), R-CAI (Spearman’s ρ = 0.484, p < 0.001), and Z-CAI (Spearman’s ρ = 0.562, p < 0.001) as well as the frequency of single virus-CAI positivity ( Table 2 , Figure 1 , Supplementary Tables S2 and S5 ). 3.3.

A probability value of * P < 0.05 was considered as significant, ** P < 0.01 was considered as highly significant and *** P < 0.001 was considered very highly significant. 3.

A highly significant difference between T1 and T2 was observed in hippocampal cell count ( p = 0.001).

There was a highly significant main effect of Orientation (upright: M = 0.65 μV, s.d. = 0.10 μV; inverted: M = 0.13 μV, s.d. = 0.04 μV; F 1,15 = 20.60, p < 0.001), reflecting a large response reduction for the inverted faces, by a factor of 5.

A highly significant effect of age was found in the within-litter analysis [F(1.84, 14.75) = 1132.01, p < 0.001; η 2 = 0.99], as well as a significant age by neonatal condition interaction [F(1.84, 14.75) = 17.16, p < 0.001; η 2 = 0.68].