Excerpts

Temperature effects on mycelial growth of different Fusarium species According to ANOVA, the average effects of different temperatures on fungal radial growth of Fusarium species were highly significant at P < 0 . 0001 .

There was no difference in survival between diets in the IH flies, but there was a highly significant interaction (p<0.0001) in how the oxygen condition affected the flies on the two diets.

This change was highly significant, as indicated by one-way ANOVA analysis (p<0.0001).

156±29.6 pg/ml for T2DM and healthy controls, respectively), increase that is statistically highly significant (P<0.0001).

Even though average pre- and post-test scores were highly variable among schools (p<0.001, ANOVA) the pre- to post-change within each individual school was highly significant (p<0.0001, paired t test).

Tests for heterogeneity of allele distributions were highly significant for all 19 SSR loci ( P <0.0001).

There was a highly significant difference (Kolmogorov-Smirnov, P<.0001) between the CDF for orientation 0° and those for either 90° or 180° orientation.

Comparable stomata frequencies were confirmed in the glucose and fructose treatments ( Figure 2B ), and there were highly significant differences with sugar-free conditions ( p -value <0.0001, Mann–Whitney's U-test).

Differences in the percentage of eggs hatching over time for the non-sterile and sterile WOL infusions were highly significant ( F = 105.27; df = 5, 40; P <0.0001).

A highly significant dose-dependent inhibition of colony formation (P<0.0001) was also found for MDA-MB-231 breast cancer cells with a similar maximum decrease of 24% (95% c.i.: 10–38) ( Figure 2b ).

The corresponding ANOVA results (amplitude versus group x contrast) revealed a highly significant effect of contrast (F = 1275, p<.0001), no effect of group (F = 2.1; p = .15), nor any interaction (F = 1.9; p = .17).

Regression analysis of the cured percentage in untreated patients versus the odds ratio of the ten studies analyzed and presented in table S2, revealed a highly significant linear relationship (Spearman Rho = −0.842, adjusted R2 = 0.806, P<0.0001) indicating that centers with good surgical results do not benefit from pretreatment and centers with worse surgical results benefit most from pretreatment.

Only 10 of 68 species were found on both sides of this divide, and ANOSIM showed that this grouping was highly significant (ANOSIM; R = 0.97, p = 0.0001), with the shallower features more similar to each other (ANOSIM; R = 0.43, p = 0.01) than the deeper features were (ANOSIM; R = 0.87, p = 0.1).

Statistical analysis supported these findings: two-way repeated-measures ANOVA showed a highly significant treatment effect (p < 0.0001), with Dunnett’s post hoc tests revealing intense erythema and edema responses only in the positive control (MD 1.48–3.83, p < 0.0001), while Novostron did not differ from the negative control at any observation point.

Whereas correlations of PPAS-6 and PPAS-3 scores with job control at the within-subgroup level (r within ) were highly significant (p < .0001) according to both the R statistic and t-test, such correlations at the between-subgroup level (r between ) were not significant (p>.05). “ S2 Table ” in the supplement/appendix outlines the key indices of within-subgroup variability and interrater agreement in PPAS-6 and PPAS-3 scores among the same validation population subgroups used to assess factor invariance.

Adding calcium was associated with a highly significant reduction in SLS prevalence from about 60% without supplemented calcium to 15% in high and medium calcium-supplemented treatments (P < 0.0001, Fig 2 , Table 1 ).

A difference from global connectivity is that in this case the difference between healthy and control subjects is clearly significant (p-value < 0.0001).

The effects of the study drugs on gut microbiome β-diversity at the OTU level were first tested statistically using a two-way NPMANOVA and the results revealed highly significant main effects for drug (F 4,65 = 3.35; p = 0.0001) and time (F 2,65 = 8.43, p = 0.0001), as well as a significant interaction (F 8,65 = 1.77, p = 0.0001).

Methylation level difference was highly significant (p<0.0001) for all CpGs in LINE-1, Alu repeats and in p16, APC SN1, ACIN1 SN1 and SN3, BCL2, CD44, TNFRSF10C.

The Q test for heterogeneity was highly significant between studies (p<0.0001), and the I 2 statistic was 99%, indicating high heterogeneity.

The Pairwise G-tests showed that genetic differentiation was highly significant between the sorghum populations of the three groups, being highest between the Chuka and both the Tharaka (p-value < 0.0001) and Mbeere (p-value = 0.0002) populations and lowest between the Tharaka and Mbeere populations (p-value = 0.0083).

All correlations remained highly significant ( P <0.0001) after controlling for ethnicity, socioeconomic status, birth weight, placental weight, gestational age at delivery, parity, tobacco smoking status (0, 1–10 or >11 cigarettes smoked per day), labor onset, labor induction, labor duration, oxytocin administration, tocolytic administration, antenatal steroid administration, APH, PTB, and PROM in multiple regression analysis.

By contrast, intergroup comparisons revealed that the differences between groups A and B regarding LTP and neurogenesis were consistently highly significant (LTP, t test, P = 0.0001; chi-square test, P = 0.0028; neurogenesis, t test, P = 0.0002; chi-square test, P = 0.006) confirming that the patterns are indeed different.

The difference between the TRAP-N/CSP-RT (comb) (10/10) and TRAP-N/CSP-T (comb) (0/10) groups was highly significant (p<0.0001, Fisher’s exact test).

Differences between vaccinated groups and non-vaccinated animals were highly significant ( p ≤ 0.0001).