Excerpts

Cell scoring analysis indicated 5 ± 2.3%, 11.4 ± 5% and 100% cell deaths in N2a cells treated with 10, 25 and 50 μM of curcumin respectively and the difference between the treatments is highly significant, p < 0.001, n = 4, H = 43.49 ( Fig. 1d ).

Mutation spectrum figures were made with the R software ( https://www.r-project.org/ ) ‘*’ represents P < 0.05 (significant), ‘**’ represents P < 0.01 (highly significant), and ‘***’ represents P < 0.001 (very highly significant).

Moreover, there has been an increasing trend of 0.002 yr −1 ( P < 0.001) in vegetation cover ( Fig. 2 ).

The overall regression model was highly significant according to ANOVA (p < 0.001), and the lack-of-fit test was non-significant (p > 0.05), confirming that the quadratic model adequately described the experimental data.

Statistical significance was considered at P < 0.05, and a highly significant difference was denoted at P < 0.001.

We found that heterozygous parents produced a highly significant excess of heterozygous genotypes for markers within the MUP cluster (χ 2 = 71.2, df = 2, p < 0.001), whereas for markers flanking the cluster, offspring genotypic frequencies did not differ from Mendelian expectations (χ 2 = 3.52, df = 2, p = 0.17, Supplemental Fig.

All these relationships were highly significant (p < 0.001) (Table 2 ).

The highly significant F values for all the traits ( p < 0.001) suggested that genotype accounted for a significant proportion of variance in the dependent variables (Table 2 ).

After the remineralization phase, one-way ANOVA revealed a highly significant difference among groups for all measured elements ( P < 0.001).

Results Analysis of variance The combined analysis of variance across environments showed that variances due to genotypes (G), environments (E), and GEI were highly significant ( P < 0.001) for all the traits measured (Table 1 ).

The ANOVA on 400-ITI condition showed a highly significant Tone x Area interaction ( F (1, 29) = 59.57, p < 0.001).

Scutum length was significant in nymphs (F = 6.77, p = 0.015) and highly significant in males (F = 19.88, p < 0.001).

Specifically, baseline TG levels emerged as a highly significant determinant of effect size ( β = − 0.634, P < 0.001), explaining up to 87.22% of the variation between studies.

The performance of BPL in modeling the beta DTAR and its parameter ranges Regarding the beta-diversity scaling of DTAR, the same BPL, utilized for describing the alpha-diversity DTAR as described above, also fits to the beta-diversity DTAR of the 32-healthy cohort dataset extremely significant with all p- values < 0.001 for 250 tested models.

The PCA was justified by sufficient high correlations (0.79 by the Kaiser–Meyer–Olkin-Kriterium, and p < 0.001 by the Bartlett-Test as highly significant) to derive the extraction of two factors.

S2 ) than angry as well as happy or neutral faces, and showed a trend to fixate angry faces more than happy faces (rate: fear vs. anger: χ 2 = 13.69, df = 1, p < 0.001; fear vs. happy χ 2 = 15.92, df = 1, p < 0.001; fear vs. neutral: χ 2 = 20.01, df = 1, p < 0.001, anger vs. happy χ 2 = 3.47, df = 1, p = 0.063; duration: fear vs. anger: χ 2 = 12.09, df = 1, p = 0.001; fear vs. happy χ 2 = 14.46, df = 1, p < 0.001; fear vs. neutral χ 2 = 16.78, df = 1, p < 0.001).

Data were visualized using GraphPad Prism 7.0 statistical software, with p < 0.05 indicating a statistically significant difference, p < 0.01 indicating a highly significant difference, and p < 0.001 indicating an extremely significant difference.

The overall model was highly significant ( p = 0.001), and both constrained axes contributed significantly to explaining variation ( p = 0.001).

A decreasing trend of the pN 0 disease proportion was observed with both increasing histological grade and decreased differentiation ( P < 0.001).

Bartlett’s test of sphericity was highly significant ( P < 0,001 ), conforming that the correlation matrix was suitable for PCA.

This increase became highly significant (p < 0.001) after 4 h of incubation with the dye (1.2 for 50 μM and 1.3 for 100 μM).

Statistical analysis revealed highly significant differences ( p < 0.001) in antifungal activity between all EOs tested.

Similarly, Mix 24 (mean = 77.17 MPa) demonstrated a highly significant difference ( p < 0.001) compared to Mix 1 (mean = 52.40 MPa).

78 (22%) out of 350 cases showed positive ANO1 expression and a highly significant correlation was found when comparing ANO1 immunostaining detected with both antibodies (Spearman’s rho 0.917, P < 0.001).

Concentration of ctDNA was significantly different between stages of disease [ H (3) = 15.307, p = 0.002], with a significant trend of increasing ctDNA concentration associated with more advanced disease at diagnosis defined by NCCN clinical stage ( J = 1103.5, z = 3.737, p < 0.001, r = 0.46) (Fig. 2 ).