“highly significant”

Moreover, patients who did not receive L-carnitine or BCAA showed highly significant deterioration of serum albumin at 1 week after TACE compared to baseline ( P < 0.001) and showed PT deterioration at 4 weeks after TACE compared to baseline and 1 week after TACE ( Table 4 ).

This highly significant difference ( P < 0.001) remained stable even after 3 patients with extremely high numbers of previous syncopal events were removed from the analysis.

In contrast, there was a highly significant main effect of ROI (p < 0.001), with GSH levels significantly lower in both motor cortices compared to the cerebellum, consistent with a regionally specific gradient in glutathione concentration.

3.2 Histogram analysis The comparison between patients and controls revealed no significant difference on the RH for mean FA ( p = 0.228), peak height ( p = 0.070) and peak location ( p = 0.064), while the LH comparison revealed a highly significant difference for all three histogram parameters with p < 0.001.

2A ) revealed a single and statistically highly significant effect for ventricular entry (p = 0.001).

The statistical analysis indicated highly significant differences ( P <0.001) in both adult and nymph ticks when compared to the control group.

The analysis revealed a highly significant systematic divergence between the two assays at the national level (χ 2 = 333.00, p < 0.001).

This difference was still maintained at 28 dpc where a highly significant decrease (70%, P <0.001) was observed in the control group (12.73±0.99 μ V, n =6) in contrast to the hNRN1-treated group (21.63±0.45 μ V, n =6) ( Figure 8 ).

Results: The results show a highly significant P-value regarding anxiety levels between the M Group and P Group (p-value < 0.001).

A significant multiplicative interaction was detected, with the interaction term in the logistic regression model being highly significant (OR = 2.71; 95% CI, 1.52–4.83; P < 0.001).

Results: The Spearman’s correlation coefficient between ARFI (0.795) and MBT (0.678) and the histological diagnosis of NASH was highly significant (p < 0.001).

Post-hoc tests confirmed that the differences between all obstacle positions were highly significant (all p < .001).

A highly significant correlation was observed between the percentage of tumor cells with MET gene copy number ≥3 and CEP7 copy number ≥3 (R 2 = 0.90, p <0.001) across two subtypes of PRCC.

Spatial Differences Among Plantations A Chi-square test of independence revealed highly significant differences in the proportion of damaged boxes among plantations (χ 2 = 201.3, df = 4, p < 0.001).

We found no significant differences between the intervention group and the control group for IC6 and ProC3, nor for the ratio between IC6 and C6M, whereas for C6M, a highly significant difference ( P < 0.001) was observed ( Figure 1 ).

Results : Highly significant correlations (p<0.001) of rLTL and ALM (r = 0.248), ALMBMI (r = 0.254), and LLM (r = 0.263) were found.

The −0.064 difference in the mean polarization was statistically highly significant ( t = −4.008, P < 0.001) with 31 degrees of freedom.

Highly significant differences were found in the amount of debris extruded among all the groups (P<0.001).

This change was highly significant ( p < 0.001 for difference across the study years), and largely occurred after 2003.

A highly significant association was found between TSR and tumour grade ( P < 0.001) and lymphovascular space invasion ( P < 0.001), both of which had independent prognostic significance in this study population.

This new model showed a substantial increase in statistical significance, reaching a highly significant level ( p < 0.001) as indicated in Table S4 .

A highly significant positive correlation was observed between the numbers of reported cases and absent students under school closure ( r = 0.964, p < 0.001).

Multivariate analysis Multi-variate analysis showed that EMVI was a highly significant independent prognostic factor (p<0.001) when other tumour dependent factors including tumour stage, lymph node stage, Dukes stage, tumour site and degree of tumour differentiation as well as patient specific factors of age and gender are considered (Tables 2 and 3 ).

The ANOVA results indicated a highly significant effect of mangrove stand type on AGB ( p < 0.001).

Correlation was weak in early Braak stages I–II ( ρ = 0.064; FDR- p = 0.628), whereas stronger and highly significant correlation was found in later Braak stages: III–IV ( ρ = − 0.424; FDR- p = 0.001), V–VI ( ρ = − 0.440; FDR- p = 0.0004), and all stages combined ( ρ = − 0.430; FDR- p = 0.001).