There was a highly significant meal effect on SBWC ( P <0.0001, log-transformed analysis of variance).
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In addition, there was a highly significant negative linear correlation between the N% and C/N ( P < 0.0001, R 2 = 0.8844).
Despite Fisher’s exact test showing a highly significant result ( p -value < 0.0001), the low phi coefficient suggests that this significance was likely due to the gender imbalance in the schizophrenia group, particularly the lower number of female participants.
Rat control on the farm A highly significant difference (χ 2 = 33.4543 p < 0.0001) was observed in the number of T. gondii positive animals among the properties that use cats for rat control (n = 239; 20 positive animals; prevalence 1.73%) and those that do not use them (n = 885; 12 positive 1 animals; prevalence 1.03%).
Survival benefit and safety profile Kaplan–Meier survival analysis revealed a highly significant intergroup difference (log-rank test, P < 0.0001).
Methylation discrepancies (MF GAmCGC -MF GmCGCT’ ) were calculated in seven out of eight isolates were highly significant ( p -values < 0.0001).
Model Adequacy, ANOVA, and RSM Optimization The results of analysis of variance (ANOVA) (Table 4 ) demonstrated that all three quadratic models were highly significant, as indicated by large F ‐values (TPC: 71.54; DPPH: 59.86; reducing power: 101.76) and very low p ‐values ( p < 0.0001).
The results showed highly significant correlations between LAC and SUV ( r = 0.586, p < 0.0001) and suggest further investigation of this type of approach for bone density measurement.
The two-way interaction of the condition and the surface was also highly significant ( p -value < 0.0001), indicating that polishing increased the microhardness values at the top and the bottom surface.
The F -ratio of 10.13 is highly significant ( p < 0.0001) which indicates that the whole model comprising three predictors/parameters does provide a significantly better fit to the data than simply the mean.
In Col-0, all six mutants showed significantly lower bacterial load than WT, with highly significant differences observed for all strains after FDR correction (all P < 0.0001).
0.05 in controls), and the difference was highly significant ( p < 0.0001).
According to the statistical analysis, the concentration of DBA (X 3 ) had a highly significant effect ( P < 0.0001) on the SPF and sunscreen efficacy of the fabricated oleogels (Fig. 6 C & F).
For some of these cancers, increased risk was observed in our study, but failed to reach statistical significance after the Bonferroni correction for 53 tests ( p < 1E‐04), including stomach (HR = 2.10, p = 0.03), esophagus (HR = 2.07, p = 0.02), and uterine cancer (HR = 1.69, p = 0.05).
Analysis of older group An ANOVA on SOA (4 levels) and load (2 levels) revealed highly significant main effects of both SOA [ F (3, 28) = 19.83, p < .0001] and load [ F (1, 30) = 22.73, p < .0001] and a significant interaction between the two [ F (3, 28) = 4.14, p < .01].
We demonstrated that sublingual DHEA administration (50 mg daily) increased free testosterone, total testosterone, androstenedione, and DHEAS levels in a highly significant manner ( P <0.0001).
A full model ANOVA of stmscore detected a highly significant Genotype × Season interaction ( P < 0.0001), therefore separate ANOVAs for the Spring and Fall 2011 data sets were performed (Table 1 ).
This analysis revealed a highly significant positive correlation (R 2 = 0.76; p < 0.0001) between the two scores in tumours, suggesting that both biological characteristics are present simultaneously in the same samples, rather than being averaged across them (Fig. 4d ).
Differences in four of frontal cortex regions were highly significant ( p < 0.0001) in patients with SA>1 as compared with the control group.
The overall comparison between the four groups combined showed highly significant differences in zABSI (Kruskal–Wallis H = 76.5, p < 0.0001).
When modeling NT-proBNP−SDS dependent on height-SDS, the univariate analysis showed a highly significant negative association between NT-proBNP−SDS and height-SDS ( β = −0.08, P < 0.0001).
Statistical analysis demonstrated a highly significant difference between the two groups (p = 0.0001).
There were highly significant differences (P < 0001) between the analysed mean Hg, As and turbidity levels and the permissible levels in surface water with the potential of affecting ecosystem services including water for drinking, water for recreational, water for irrigational, and water for aqua culture purposes.
Conversely, Z1 degranulated MCs showed marked elevation in chronic periodontitis (4.69 ± 2.09) compared to healthy gingiva (1.63 ± 0.74), with highly significant intergroup differences (p = 0.0001).
Statistical analysis (one-way ANOVA) confirmed that the differences in healing rates between the larva-treated groups and the infected control were highly significant (F = 31.842, p < 0.0001) ( Fig. 4 ). 3.3 Microbiological analysis Bacterial load, measured as CFU/swab of P. aeruginosa , decreased significantly in all treatment groups compared to the infected control (B) ( p < 0.05).