Excerpts

The overestimates were highly significant (1-tailed paired t -test, t = 26.60, df = 519, p < 2.2 −16 ).

5 a and b) and gene expression was highly significant for both root and leaf (root: R = 0.364, P < 2.2e-16; leaf: R = 0.334, P < 2.2e-16).

A linear statistical model for the rate constant of photoinhibition ( k PI ) was highly significant ( F (8,95) = 50.3, P < 2.2 × 10 −16 ) and showed that k PI was significantly affected by light color (coefficient 0.70 ± 0.0095, P = 6.75 × 10 −11 ) and leaf group (coefficient 0.016 ± 0.0069, P = 0.0256) but not by the other variables (see Summary of statistics available as Supplementary data at Tree Physiology Online).

The complete monotherapy rates for SGAs without other psychotropic medications in 2001, 2006, 2011, 2016 and 2021 were only 0.7%, 2.7%, 3.5%, 5.0% and 6.3%, respectively ( Table 1 ), with an increasing trend (χ2 = 37.6, df = 1, p = 9.0×10 −10 ). The rates of FGA use in 2001, 2006, 2011, 2016 and 2021 were 85.6%, 77.5%, 70.7%, 65.1% and 54.7%, respectively ( Table 1 and Figure 1A ), with a decreasing trend (χ2 = 190.2, df = 1, p < 2.2×10 −16 ).

These results show, that RNAs with diminished abundances in the mutant possess a particularly high amount of cleavage sites, which was also indicated as highly significant by hypergeometric test (enrichment over background distribution of cleavage sites: 6.23-fold; p-value <2.2 −16 ).

Consistent with previous reports ( Vetter et al., 2004 ), there were highly significant differences in both impedance magnitude ( Figure 5B : χ 2 = 311.86, p < 2.2 × 10 −16 , df = 8; Kruskal–Wallis test) and phase angle ( Figure 5C : χ 2 = 164.72, p < 2.2 × 10 –16 , df = 8; Kruskal–Wallis test) during the first WPI.

There was a highly significant correlation (Spearman’s rho of 0.81, p < 2.2 × 10 −16 ) of the PBMC expression changes 6 h after HIIT and HBO 2 ( Figure 5 D).

The samples were divided into two groups (normal group and tumor group) in TCGA-LUSC, and t -test on risk score of two groups showed quite significant in two groups (P<2.22e−16) (see Figure 6A ).

We also found highly significant negative correlations of tumor purity with both immune scores (Pearson r = −0.988, P-value = 6.42 × 10 −16 ) and stromal scores (Pearson r = −0.917, P-value = 1.36 × 10 −8 ).

The log-normal regression (script 1, Supplementary material 1 ) revealed: (i) a highly significant influence of the zones ( p = 6.600e−16) and the season ( p = 6.219e−08) ( Fig. 4 ).

The optimal values of a = 0 and b = 4,790 resulted in a highly significant model fit ( F = 44.94, df = 4, 51, P < 10 –15 ) with an r 2 value of 0.78, and the selected regions overlap the ddPCR probe locations ( figs. 1 and 2 ).

Scatter plots of the log2FC values for differentially expressed genes in the tetramer+ cells arising in response to each pMHCII-NP type confirmed highly significant correlations among the scRNAseq profiles of the different tetramer specificities (P<10 -15 ; >60% of all the genes in each comparison undergo similar levels of upregulation or downregulation as compared to Tconv cells) ( Figure 2C ).

‡ Although the Spearman correlation coefficient between α and age is highly significant for those α values corresponding to tract density with a P value ~10 –15 , the effect size is low with a Spearman correlation coefficient of –0.06.

There was also a highly significant relationship between gender and the number of English-language publications (Kruskal–Wallis chi-squared = 68.37, p < 1.42 × 10 −15 ) and between disciplines and the number of English-language publications (Kruskal–Wallis chi-squared = 29.45, p < 6.35 × 10 −6 ).

7f ), other T cell subtypes, such as Tregs showed a decreasing trend (adjusted one-sided JT p value = 2.96 × 10 −15 ) (Fig. 7g ), suggesting diverse etiology of clusters linked to size.

3 C and F ), and in the full dataset, it remains highly significant even if interface size is included as a covariate with P = 5.9e −15 for the full dataset and P = 0.27 for the human dataset in an analysis of covariance (ANCOVA).

The results demonstrate a highly significant association between resistance and each of the five SNP markers tested from 10.01 to 10.63 Mb on chromosome 27 ( P < 10 –14 for each marker, SI Appendix , Table S4 ).

Of the 871 SNPs with a C2 value above 60 (corresponding to a highly significant association, P < 10 −14 ), 867 were located in the middle of the X chromosome.

Comparative analysis of the paired samples revealed highly significant overexpression of NDC80 mRNA in ccRCC samples from TCGA (p = 1.4e-14) and ICGC (p = 1.2e-11) ( Figures 2 B and 2C).

When comparing measurements from two observers, they exhibited a highly significant correlation coefficient (r = 0.98, p = 0.143 × 10 −13 ).

Acquisitions of 14.5 min duration performed on anesthetized, spontaneously respiring animals, without gating and administration of contrast agent resulted in a highly significant correlation (R = 0.98, p = 1.5 × 10 −14 ) between the MRI-derived liver volumes and the post-mortem liver weights in hepatectomized, untreated mice. 1,4-bis [2-(3, 5-dichloropyridyloxy)] benzene (TCPOBOP), a synthetic agonist of the mouse constitutive androstane receptor and a potent activator of cytochrome P450 monooxygenase activity ( Halwachs et al., 2007 ) shown earlier to induce hepatocyte proliferation and hepatomegaly ( Ledda-Columbano et al., 2000 ), was then evaluated as test compound in the model.

Association testing on all HLA alleles in a combined group of persistent and extended oligoarthritis JIA ILAR subtypes revealed that position 11 of HLA‐DRB1 was again the strongest signal, but with a more modest significance ( P = 5.1 × 10 −14 ).

Spearman correlation analysis indicated a moderate (R = 0.206), but highly significant, correlation for S ( p = 1.37e-013), though no correlation was noted for N (R = −0.092, p = 6.70e-002) (Fig. 1C, D ).

For both models and both states, there are highly significant differences in importance values across the three classes of phenotypic impact (RF MN: P = 8.15 × 10 − 13 ; RF TX: P = 2.20 × 10 − 16 ; FFNN MN: P = 2.20 × 10 − 16 ; FFNN TX: P = 2.20 × 10 − 16 ).

This difference was slightly greater and still highly significant 15 weeks post-tumor initiation (Fig. 1F and Supplementary Fig. 3C ; P < 7 × 10 −12 ).