Excerpts

The Chi-square test confirmed a highly significant association between age group and histological diagnosis (χ2 = 849.99, df = 4, p < 0.0001).

The model was highly significant ( P < 0.0001), with a coefficient of determination R 2 = 0.9937 and an adjusted R 2 = 0.9891.

The repeatability of measurements between observers was highly significant (R = 0.914, CI = 0.866, 0.945, p < 0.0001) and the variation in gametocyte densities within each extremity of each individual represented only 0.01% of the variance.

sylvestris was highly significant ( p < 0.0001: ****).

Interestingly, cytology parameters also showed highly significant differences between benign lesions and healthy controls (all p < 0.0001).

However, when we transiently expressed a constitutively active form of Rab8a, using the same promoter (t aCP:mCherry-Rab8aCA ), we observed highly significant rescue of OS development in the mutant PRs expressing this transgene (Fig. 6D–D’ and red circles in E, p < 0.0001, Student’s t -test), with a majority of expressing PRs now displaying a nicely elongated OS.

Statistical analysis for color strength (Two-Way ANOVA with interaction) Statistical analysis provided in the Table 5 confirm that (a) Fabric type has a significant effect on K/S ( p < 0.001), (b) Binder ratio (gelatine: alginate) has a very strong and highly significant effect ( p < 0.0001), (c) Dye concentration significantly affects K/S ( p < 0.0001), and d) There is also a significant interaction between fabric and ratio ( p < 0.001), meaning that the effect of the binder ratio depends on the fabric type.

The results indicate that the model is highly significant ( P < 0.0001), with a coefficient of determination R 2 = 0.9442, an adjusted R 2 = 0.9146, and a predicted R 2 = 0.9239, all approaching unity.

In terms of soil organic matter content, Wutai County had a significantly higher level (35.25 ± 4.20) compared to Pingshun County (26.65 ± 2.14), and this difference was statistically highly significant ( P < 0.0001).

However, highly significant ( P < 0.0001) effect of both zeitgeber time and zeitgeber time × experimental groups interaction was observed on per gene expression.

The gene expression levels of these genes were analysed for their correlation with IHTG, which revealed highly significant correlations (p < 0.0001; Fig. 5a,b ).

In sharp contrast, the Post-booster (7 days) group exhibited a dramatic elevation in Tfh cell percentage relative to the other three groups, with the difference reaching extremely significant statistical levels ( P < 0.0001, Fig. 6 C).

bacteria resulted in highly significant increases in bacterial growth ( P < 0.0001), compared to controls.

Bernoulli GLMM analysis of the effect of forest fragment size on tree hyrax singing indicated that “forest size” was a highly significant covariate in tree hyrax singing probability (P-value < 0.0001) (Table 1 e, Fig.

Contemporaneous and between person models The within-person contemporaneous network was also dense with most associations highly significant (p < 0.0001).

Highly significant reactivity was found to peptide 17 (P < 0.0001), which yielded a sensitivity of 93%.

Using two-way ANOVA, we determined that the interaction of temperature treatments and population origin (unpolluted vs polluted forest; F 3, 67 = 27.6, p < 0.0001) was extremely significant for changes in midgut ALP activity, together with the individual influence of increased temperature (F 3, 67 = 30.9, p < 0.0001) and origin of the population of larvae (F 1, 67 = 28.36, p < 0.0001) (Fig. 1 a).

The directional biases of the overlapping genes between VSH/NVS and FOR/NUR phenotype were also highly significant (X 2 = 27.52, p < 0.0001 - Table 3 ),with a larger proportion of genes over-expressed in VSH being also over-expressed in nurse antennae, and vice versa .

This confirms the ANOVA test, where the two interaction factors (AB) were found to be highly significant (P < 0.0001).

Parametric Student’s T-test comparisons coupled with Fischer Combined Probability test, show a highly significant difference (combined p < 0.0001) between the Ulva sp. and Cladophora sp. scaffold test groups, for all four cell concentrations, as well as between the scaffolds’ test and control groups.

Additionally, this cluster contained a highly significant 2.8-fold enrichment of immunity proteins (p < 0.0001), including proteins involved in the regulation of complement activation (p = 0.034).

The incidence of CHF was significantly higher in patients in Q4 (with the highest levels of the combined indicator) versus those in Q1 (with the lowest levels of the combined indicator), as indicated by highly significant intergroup differences ( P < 0.0001) (Fig. 2 A).

tabaci isoline on virus titer in thrips The main effect of TSWV isolate on virus titer per thrips was highly significant [F = 8.6, df = (3, 93), P < 0.0001] (Fig. 2 ), whereas the main effect of T. tabaci isoline [F = 2.3, df = (3, 93), P = 0.0820] (Fig. 3 ) was not.

This statistical calculation model with backward elimination of non-significant markers showed a highly significant overall model fit ( p < 0.0001) with logit (p) = −0.367 + 4.148 * miR17a −0.397 * miR20a.

The log rank test analysis indicated that the difference between the survival curves is highly significant ( p < 0.0001).