Excerpts

The association between the Bray-Curtis distance matrices for the two data sets was highly significant (P = 0.0036, Mantel test).

The difference between ICCA patients and control individuals was statistically highly significant (p = 0.0036 for ICCA.SRa and p = 0.0001 for ICCA.SRb, Mann-Whitney test; p = 0.0049 for ICCA.SRa and p = 0.0001 for ICCA.SRb, unpaired t-test with Welch's correction).

The effect on hind legs and quadriceps remained highly significant (Šidák corrected p ≤3.7x10 -3 ).

Correlation among the serum DPP-4 activity, liver tests and HOMA2-IR in NAFLD Highly significant correlations were detected among the serum DPP-4 activity and ALT (r = 0.4637 p = 0.0038) and γGT (r = 0.4991, p = 0.0017) values in 39 patients with NAFLD.

However, at 3 times the recommended dose (90 IJs/cm 2 ) snail mortality (8.9%) was highly significant compared to the snail only control (p < 0.0039) ( Fig 5 ).

Additionally, the two age cohorts in the NHI group performed comparably, except for subtests targeting phonological processing and/or memory (independent-samples two-tailed Welch t-tests: Discourse Comprehension, t = -3.47, p = .001; Nonword Repetition, t = -4.17, p < .001; Sentence Production, t = -4.01, p < .001; and borderline significant for Sentence Repetition, t = -3.01, p = .0039), with significance value Bonferroni-corrected to p = .05/13 = .0038.

This difference was highly significant ( U 0.05(2), 6,6 = 0.00, P = 0.0039).

In the main cohort study, there were significant or marginally significant differences between the three groups in age [F(2,159) = 5.76, p = 0.004], gender [χ 2 (2) = 6.74, p = 0.034], and living situation [χ 2 (2) = 5.76, p = 0.056].

Trend analysis using the JT test confirmed a highly significant trend toward diminishing performances among the three groups (HC>UHR>SZ) (LFT p = 0.004, CFT p = 0.003).

Using this approach, GEE with ICP as the independent variable weighted for distance of measurement and ONHV or ONHH as the dependent variable were weakly significant for ONHV (B = 0.020, SE = 0.007, p = 0.004) and interestingly significant for ONHH with a negative association (B = −0.003, SE = 0.0005, p<0.001), meaning that IIH patients with a high ICP showed a more depressed ONHH.

In contrast, the ratio of SM resistant in non-Beijing genotype (32.4%) was higher than that of Beijing (27.9%), the difference of which was highly significant (χ 2 = 8.26, P = 0.004).

The 2-way ANOVA results ( Table 1 ) indicated a highly significant effect (P = 0.004) of post-infiltration aeration effect on soluble solids content (as °Brix) of the fresh fruits.

There was a highly significant association between HER2 positivity and increased VMP1 mRNA levels in all cohorts: in cohort 2 p = 0.004 ( S4 Table ), in TCGA p = 0.003 ( S5 Table ), and in METABRIC p < 2.2x10 -16 ( S6 Table ).

Post-hoc comparisons revealed that this significantly decrease by day 35 (P = 0.01 compared to day 0) and was highly significant by day 70 (P = 0.004 compared to day 0).

As a further check that the interaction of Group with O-Span was not an artefact of ‘regressing out’ age effects within the older group which correlated with WMC, we also ran the model without age as a predictor, and the interaction of Group with O-Span remained highly significant (β = .47, t (33) = 3.14, p = .004; for model, R 2 = .32, F (3,31) = 4.84, MSE = 14.2, p = .007).

The IL-12 p40 subunit forms part of the heterodimer IL-23 [ 34 ], so the highly significant correlation between IL-12 and IL-23 (r = 0.880, p = 0.004; Table 3 ) noted in the tissue of subclinically affected cows was unsurprising ( Table 3 ).

This is a highly significant enrichment (Fisher's exact test p-value <0.004), demonstrating that many of the genes affected by the Usf1 polymorphism might in fact be direct Usf1 targets.

However, fatigue had a highly significant effect on the hip’s peak internal rotation angle (P = 0.004, F = 8.66, η2 = 0.09).

Mann-Whitney tests show that these differences of area are highly significant: between clade B2 and other species (p = 0.004), and between clade B2 and all other species from clade B (p = 0.023).

In contrast, the proportion of fT3 to tT3 was highest in mole-rats (0.38±0.14%; rats: 0.17±0.09%; guinea pigs 0.23±0.08%), with differences being statistically significant in the comparison with rats and close to significance threshold in the comparison with guinea pigs (one-way ANOVA: F = 7.724, p = 0.004; Bonferroni post hoc comparison: mole-rats vs. rats: p = 0.004; mole-rats vs. guinea pig: p = 0.075; rat vs. guinea pig: p >0.99; Figure 4 ).

A highly significant increase of accuracy could be observed between U-Net classification and the Otsu (adj.p = 0.004) thresholder as well as a significant increase of U-Net compared to the QuPath network (adj.p = 0,037).

This imprecise estimate was likely due to the highly significant effect of mortality rate (p-value = 0.0040) on the change in prey density over time ( S2 Table ).

s correlation coefficient between strain ratio and pathological groups was highly significant, with a value of 0.17 (p = 0.004).

The FDR was 0.43, but it was accompanied by a nominally significant P-value (P = 0.004).

This aligns with the statistical results presented at Table 3 , where collective empowerment was found to be highly significant (p-value = 0.004), whereas individual empowerment was significant at the 10% level (p-value = 0.100).