“highly significant”

As shown in Table 2 , highly significant genotypic effects ( P < 0.0001) were detected in both populations in each trial, explaining 54.0–90.4% of the phenotypic variances.

A highly significant ( p < 0.0001) quadratic model was developed, which exhibited an excellent fit to the experimental data ( R 2 = 0.9995).

A highly significant Spearman’s correlation coefficient (r ≥ 0.91, p < 0.0001) was observed between the response to OVX836 NP and various heterologous influenza A strain NPs (including H5N1) in both age groups.

The final model was highly significant (p value <0.0001).

By aggregating the two subgroups with low risk and three subgroups with medium risk, patients could be assigned to three risk groups (high, medium, low) with a highly significant ( p < 0.0001) five-fold difference in risk (Table 5 and insert in Fig. 2 ).

On the contrary, highly significant decline in the fold change of TNF-α gene expression was displayed by the standard drug piroxicam (10 mg/kg) and prazosin (20 mg/kg) ( p < 0.0001) when compared with animals in the disease control group.

ELISA results showed that the Giardia induced a highly significant increase in the secretion of IL-6, IL-12 p40 and TNF-α compared to the control group (IL-6: ANOVA, F (4, 10) = 1.116, p < 0.0001; IL-12 p40: ANOVA, F (4, 10) = 0.6885, p < 0.0001; TNF-α: ANOVA, F (4, 10) = 1.990, p < 0.0001) (Fig. 2 a–c).

The highly significant p values ( p < 0.0001) showed that there was a significant change in mean value from baseline for all three variables.

The models highlighted below were all highly significant ( p < 0.0001).

Mettl5 and Mettl3 exhibited a similar expression pattern, peaking on Day 1 with highly significant upregulation ( p < 0.0001).

Following an alternative approach for scalar variables we compute the assortativity coefficient r [ 54 ] and again find highly significant homophily at the last time point r HS (6) = 0.20 ( p -value < 10 −4 ) and r U,4 (14) = 0.21 ( p -value < 10 −4 ).

Variance in signed FA was much larger than variance in ME and was highly significant (likelihood‐ratio test: p < .0001).

Next, the result indicated highly significant differences between the dead and live groups in factors such as acidosis and sepsis ( p < 0.0001).

For the concentration of IL-5, the omnibus test was highly significant (Kruskal-Wallis, χ2 3 = 30.59, p < 0.0001), and the pairwise comparisons showed that non-infected mice had lower levels of IL-5 compared to all infected groups ( Fig 3a ).

Furthermore, all quadratic terms (A 2 , B 2 , C 2 , and D 2 ) were highly significant ( p < 0.0001), suggesting pronounced nonlinear relationships in the extraction process, which is essential for interpreting the experimental outcomes [ 59 ].

Although the difference was small, it was highly significant ( P < 0.0001) and consistent with previously published results [ 15 ].

Comparing the results of retinal thickness values measured in the whole macular area (6 × 6 mm) and fovea (automatically selected by the instrument software) we also observed highly significant differences between the groups: the whole macular area ( p < 0.0001) and fovea ( p = 0.02).

GDF-15 showed the most robust response, with highly significant main effects for both time and dose and a strong interaction ( p < 0.0001).

The difference was highly significant (p < 0.0001) implying that serum zinc levels of the cases were significantly lower than that of controls.

Female offspring weighed significantly less than male offspring supported by a highly significant main effect of sex ( F 1,111=128.13; P <0.0001).

The difference was found to be highly significant ( P = 0.0001).

We found highly significant differences in the relative volume of all brain regions across populations (all regions p < 0.0001, figure 2 ; electronic supplementary material, figure S7 and table S9), and between sexes (all regions p < 0.05, figure 2 ; electronic supplementary material, table S9).

The two new functions cumulatively explained 100% of the total variance: Canonical 1 (Can1) explains 71% of the variation among the three groups with a highly significant probability ( p < 0.0001), while canonical 2 (Can2) explains the remaining 29% with a significant probability ( p < 0.005).

Based on diagram 2D, the toxicity effect of curcumin-loaded niosome was highly significant in the KB cell group compared to that of free curcumin after 48 h at doses of 4, 8, and 32 μg ( P < 0.0001), which is marked by three stars in this diagram.

Two-way ANOVA showed highly significant effects of treatment, cell death state, and their interaction (F (15,48) = 1810.36, p < 0.0001), confirming that treatment-dependent differences varied strongly across states.