“highly significant”

BYDV-PAV was highly significant ( p <0.001), but not significant for the other 3 reference genes (ACT1, p = 0.310; EF-1α, p = 0.139; GAPDH, p = 0.590).

This improvement was found to be highly significant (t(24) = −9.798, p < 0.001).

The correlation between the number of activated voxels within those regions and the number of SWEs remained highly significant for the cortex ( r = 0.79, P < 0.001) ( Fig. 5 A , C ) as well as the thalamus ( r = 0.67, P < 0.01) ( Fig. 5 D , F ).

In comparison, the majority of the lines expressing ΔN ZmL (2 lines) or any of the chimeric DGAT1s (2–4 lines identified from each construct) had highly significant ( P < 0.001) increases in lipid levels compared to both wild type and their respective null siblings ( Table 2 and Supplementary Tables 4 , 5 ).

Overall, there were consistent, statistically highly significant ( p < .001) improvements as indicated by reduction in mean scores, except for the Prosocial scale which has a reverse scoring: increase in score indicates improvement.

The difference in kurtosis between sites with negatively peaked LFP (median kurtosis: 32.9; n = 716) and positively peaked LFP (median kurtosis: 2.3; n = 95) is highly significant (Mann–Whitney-U test; u = 11,657, P <0.001).

Paired-sample analyses confirmed that these orientation differences were highly significant (T IQR : t(287) = 23.11, p < 0.001; T OPR : t(287) = 21.46, p < 0.001; C IQR : t(287) = 14.15, p < 0.001; C OPR : t(287) = 16.96, p < 0.001), indicating a pervasive side-to-side heterogeneity in trunk and canopy thermal regimes ( Figure 3 ).

All of the highly significant metabolic effects (p ≤ 0.001) caused by at least one concentration of selected mycotoxins are discussed in the text and visualized as bar graphs in Fig. 2 .

The Chi-Squared Distance analysis highlighted strong preferences for Egg Number ( D = 15.23) and Hatchability ( D = 12.45), both showing highly significant P-values ( p = 0.001 and p = 0.002 respectively).

Quantification of integration sites and gene densities showed a highly significant correlation for each population (Spearman correlation, ‘double negative’, rho = 0.78; ‘red’ , rho = 0.83; ‘yellow’ , rho = 0.85; p < 0.001 in all cases, Figure 2 B).

The differences in the mean values of microbial colonies in all four positions were found to be statistically very highly significant ( P < 0.001).

ANOVA revealed highly significant variation between diapause and non-diapause generations in both 1 st to 3 rd (F = 38.259, p < 0.001) and 4 th to 5 th (F = 15.99, p < 0.001) instar larval groups.

viridis showed a highly significant preference towards Ae. albopictus larvae (GLMM model 2 ; P < 0,001; n = 15; Fig. 3 ).

On studying the effect of age on COVID-19 severity we found a highly significant association of age with COVID-19 severity where, people ≥ 50 years of age were found to be at risk of developing a severe form of COVID-19 ( p < 0.001) as compared to patients ≤ 50 years of age.

Observed guidelines deviations were highly significant ( P < .001).

The effect of SY on histopathology scores of the liver was highly significant for SY60 group ( P < 0.001), compared to SY15 and control groups which recorded much lower values nearest to zero level.

• ∗ indicates p < 0.05 (significant) • ∗∗ indicates p < 0.01 (highly significant) • ∗∗∗ indicates p < 0.001 (very highly significant) • ∗∗∗∗ indicates p < 0.0001 (extremely highly significant) • ns indicates p ≥ 0.05 (not significant) For the p-value test, a smaller value indicates stronger evidence against the null hypothesis, suggesting a more significant difference between the methods.

A highly significant effect of age was found in the within-litter analysis [F(1.84, 14.75) = 1132.01, p < 0.001; η 2 = 0.99], as well as a significant age by neonatal condition interaction [F(1.84, 14.75) = 17.16, p < 0.001; η 2 = 0.68].

Further, not knowing where to get tested, which was a significant barrier across the entire participant group, was highly significant among women ( p ≤ 0.001, N = 91) but not in men (P = 0.314; N = 28).

In a multivariate model combining the 48-genes predictor, age, sex and blood cell composition, the 48-genes predictor remained highly significant of severe outcome against mild outcome (logistic regression p- value < 0.001; Table 2 ).

The four‐way anova run on the data from all 12 areas revealed a main effect of ModSpecificity ( F 2,11 = 2345, P < 0.001), with generally more CA cells and therefore higher assembly‐cell density in the multimodal than in the secondary mesomodal ( t 12 = 48.9, P < 0.001), and in the secondary than in the primary unimodal ( t 12 = 14.6, P < 0.001) areas; in addition, a highly significant interaction of the factors ExtraPeri, ModSpecificity, FrontoTemp and WordType ( F 2,11 = 137.6, P < 0.001) emerged, confirming that CA topographies (i.e. the distributions of their neurons over the areas) differed between word types.

It was also noted that for HGB values, a positive correlation was highly significant (p < 0.001) at high parasite thresholds (> 2000 parasites/μL) but not significant at low parasite thresholds (p < 0.1), suggesting a regime in which parasitaemia levels correlate with a drop of HGB at high parasite loads but with the relationship disappearing once the number of parasite in blood lowers as effect of the anti-malarial medication (as it can be seen in Fig. 5 ).

This difference was highly significant ( p < 0.001) and visually evident in Figure 1 A, which demonstrates minimal overlap between distributions, underscoring the robustness of this biomarker in differentiating pathological from physiological states.

Among them, the difference in rats is highly significant ( p < 0.001). 3.4.

7 , 25 – 27 A highly significant correlation of IKZF1 deletion (n = 96) was noted with high TLC ( P < 0.001), NCI-HR ( P < 0.001), induction failure ( P < 0.001), and ICiCLe-HR ( P < 0.001) with primary genetic HR group ( P < 0.001).