“highly significant”

In addition, all measurements of Q A redox state and g s in all lines could be described by a single highly significant positive correlation ( P < 0.0001, ANOVA; Fig. 1h ), consistent with a role for Q A redox state as an early determinant for stomatal opening in response to light intensity 17 .

Two-factor ANOVA indicated that antibody treatment had a strong and highly significant effect on Ec.MS/BS, Ec.MAR, and Ec.BFR/BS (“Rx” main effect, p < .0001; Figure 3D ).

The results suggest that the change of microwave power and extraction time had highly significant effects on the yield of silymarin ( P < 0.0001) from S. marianum straws.

Mean composite test battery scores showed a highly significant difference between impact and control groups (linear mixed-effects regression analysis, P < 0.0001).

When lineages were partitioned into four groups (background, fossorial, limbless, and limbless-fossorial), the differences remained highly significant when all genes were analyzed together (p < 0.0001; see Table S3 ).

Jennrich tests confirmed highly significant statistical differences between controls and Alzheimer’s disease (χ 2 = 1.15 × 10 8 , n 1 = 12, n 2 = 17, P < 0.0001); controls and PSP (χ 2 = 975 547, n 1 = 12, n 2 = 17, P < 0.0001); and Alzheimer’s disease and PSP (χ 2 = 733 030, n 1 = 17, n 2 = 17, P < 0.0001).

The quadratic model for TS was found to be highly significant (F-value = 31.08; p < 0.0001), with a coefficient of determination R 2 of 0.9756.

3.5 Impedance drop AI was found to have a highly significant but weak correlation with impedance drop that was similar in the protected group and the control group ( ρ = 0.16 – 0.25, p < 0.0001; Figure 4 ). 3.6 Lesion‐to‐lesion progression There was a closer spatial relationship between consecutive lesions (not necessarily adjacent lesions) in the protected group in the posterior part of the PV encircling lesion set but with no statistically significant difference (5.4 [IQR = 3.6 – 9] mm vs. 5.5 [IQR = 3.7 – 9.3] mm, p = 0.051).

To determine whether age at spontaneous puberty and age at the start of GH in patients with TS are associated, we performed a correlation analysis, revealing a highly significant correlation between age at the start of GH treatment and age at pubertal onset [correlation coefficient 0.65 ( p -value < 0.0001)], which explained 32% of the variability in spontaneous puberty with age at GH start [intercept = 10.3 years ( p < 0.0001), slope = 0.31 ( p < 0.0001)].

The difference in the slopes between the Braf wild type and mutant mucosal samples was highly significant ( P <0.0001), reflecting the temporal accumulation of DNA methylation events following induction of the Braf mutation.

The mesh count raw data (Figure 2 C) show that 40 nM Ov -GRN-1 increased the mesh count from the medium only control of 9.7–15.7 meshes—a highly significant ( P < 0.0001) relative increase over the blank control of 62% (Figure 3 A).

In contrast, Ct values showed a highly significant association with sequence coverage ( P = 0.0001), indicating that lower Ct values (reflecting higher viral loads) are strongly correlated with increased sequence coverage.

Statistical analysis of variance (ANOVA) revealed that, while there was a highly significant effect for sex ( F (1, 131) = 873.4, P < 0.0001), there was none for Wolbachia ( F (1, 131) = 0.03728, P = 0.8472).

A test for linear trend (using untransformed PFOA and PFOS) was highly significant (coefficient ± SE: PFOA, 0.00011 ± 0.00002; PFOS, 0.00070 ± 0.00006; p < 0.0001) in both cases.

Differences between singletons and between twins are highly significant ( p =0.0001 and p =0.0002, respectively).

Two-way ANOVA showed a highly significant treatment effect ( F (1,20) = 47, p < 0.0001), time effect ( F (4,20) = 91, p < 0.0001), and interaction effect ( F (4,20) = 11, p < 0.0001), indicating a time-dependent pharmacological inhibition of DAT functions.

There was a highly significant difference in both mean ADC and mean rADC values between benign and malignant lesions (p < 0.0001 and p = 0.0002, respectively; Student’s t-test).

The results indicate that plants in the SR at T12 exhibited the highest BC load (bcH) (1.94 × 10 06 ± 8.81 × 10 05 particles·mL −1 ) while plants in the RR at T12 exhibited an intermediate BC load (bcM) (7.26 × 10 05 ± 1.83 × 10 05 particles·mL −1 ), with a highly significant difference compared to the SR at that time point ( p < 0.0001).

(1) Regression analysis and significance experiment of the soil removal rate The results of the ANOVA for the soil removal rate Y 1 are shown in Table 6 , with a highly significant model fit ( p < 0.0001) and a lack of fit value of 0.7406 > 0.05, indicating that the lack of fit is not significant and the fitting accuracy is high.

There was a highly significant correlation between 3‐epi‐25‐OH‐D 3 and 25‐OH‐D 3 concentrations ( r = 0.77, R 2 = 0.5911, slope = 0.0579, p < 0.0001).

Group category had a highly significant influence on WMS total scores ( p < 0.0001), whereas sex narrowly reached significance level ( p = 0.05).

An analysis of variance on the values of BSS for the locations and factors in the GxExM factorial combination showed that the factor ‘Location’ had a highly significant (p < 0.0001) effect on the BSS (Table 3 , and S1 ).

Of the 32 datasets with highly significant changes ( P ≤ 0.0001 and |lineal fold change (FC)| ≥ 2) (Fig. 1a ; Supplementary Table S1 ), 26 (81%) presented higher levels of SMARCA4 transcript in tumor samples than in non-tumor samples.

The difference between the obese ZDF group and the STZ-treated WT group was highly significant ( fa/fa : liver +45%, p < 0.0001; kidney + 64%, p < 0.0001).

Results Exploratory Factor Analysis (EFA) The Kaiser-Meyer-Olkin measure of sampling adequacy index was .74, and Bartlett’s test of sphericity was highly significant, χ 2 = 1076.26, p < .0001, indicating that the sample and correlation matrix were appropriate for exploratory factor analysis (EFA).