“highly significant”

Furthermore, diagnostics indicated that an ARIMA model constructed using precipitation and temperature to predict the timing of arbovirus cases provided a good fit to the observed arbovirus cases based on the Q-Q plot, autocorrelation function, and the t -test of model coefficients, which was highly significant ( t = 17.87, p < 0.0001, Fig. 4 ).

Bulb firmness The analysis of variance revealed that the main effects of variety, storage duration and preharvest treatment were highly significant ( P < 0.0001 ) on bulb firmness.

Results from the analysis of variance and the F-test indicate a highly significant F-value ( p < 0.0001), suggesting that both variables contribute meaningful information to the model.

The criterion for significance was set as p < 0.05, and highly significant differences in the statistics were accepted if p < 0.0001.

The most striking finding was the highly significant increase in IFN-γ levels in both groups, with a more pronounced effect in the Yoga group (from 7.65 ± 2.94 to 19.58 ± 2.72; P < 0.0001) compared to the Control group (from 8.49 ± 2.07 to 16.85 ± 3.29; P < 0.0001).

Moreover, 8 classes, including CE, CER, DAG, FFA, LPC, PC, SM, and TAG, showed highly significant differentiation with p -values < 0.0001 ( Table 1 ).

As expected, only very minor differences were noted between the antibodies with and without LS (Table 1 , Suppl Table S1 A,B), with highly significant correlation between values: for each pair of antibodies, both IC50 values and IC80 values correlated with Spearman’s rho of 0.94 or higher and p < 0.0001; and the median IC50s were no more than twofold different, which is within experimental error for this assay 17 .

Concerning p -values, the results were highly significant for the protein when stored at 4 °C for all the tested conditions ( p -value < 0.0001), and significant when the protein was stored at −80 °C ( p -value < 0.05 and p -value < 0.01).

The effect of the fungal isolates on adult fly mortality was highly significant (χ 2 = 2884.60; df = 14; p < 0.0001), ranging from 13.50 to 91.42%.

Including genotype in the mixed model had highly significant effects on period ( χ 2 (1 d.f.) = 455.57, p < .0001) and RAE ( χ 2 (1) = 65.97, p < .0001).

In the seated position, a moderately strong positive correlation was observed (r 2 = 0.34), which was highly significant ( p < 0.0001) ( Figure 3 ).

In the HKT group, the following improvements were observed: PH domain: p = 0.0006 (highly significant, Figure 10 ); Pain domain: p < 0.0001 (extremely significant, Figure 11 ); FA domain: p = 0.0428 ( Figure 12 ).

One-way ANOVA revealed highly significant effects of surface type for all size groups ( p < 0.0001), with coefficients of determination ( R 2 ) of 0.958 for small, 0.976 for medium, and 0.921 for large crickets, indicating that surface texture accounted for most of the variance in the friction measurements.

The most parsimonious multivariate model is highly significant ( P = 10 –4 ), suggesting that COVID-19 DS4 ( P = 3 × 10 –8 ), presence of DKA/HHS ( P = 0.021), and development of AKI ( P = 0.037) are all independently correlated with death (Fig. 3 ).

Statistical analysis Multivariate analysis of variance (MANOVA) for physicochemical properties showed highly significant differences ( P < 0.0001) between the Dominico Harton, Guineo and Gros Michel varieties (Table 4 ).

Every comparison reported highly significant differences: absolute initial angles for clockwise trials were smaller in the negative ( t 17 = -4.72, P < 10 −4 ) and positive contexts ( t 17 = -3.6, P = 0.001); for counter-clockwise perturbations the initial angles were also smaller in the negative ( t 17 = 4.03, P < 10 −4 ) and positive contexts ( t 17 = -3.61, P = 0.001, one-sided paired t-tests).

It was 0.991 (187.545, p < 0.0001) for a* , with a highly significant effect of broccoli (246.62, p < 0.0001), IF (134.344, p < 0.0001) and BSG*IF (25.77, p = 0.004).

Among 48 cytokines/chemokines, evaluated by multiplex analysis in patient plasma, 6 (IL-6, CXCL-10, HGF, MIG, MCP-1, and G-CSF; Supplementary Table S2 ) were identified as highly significant in COVID-19 patients compared to non-COVID-19 respiratory disease controls ( p -value < 0.0001) ( Figure 2 ).

Tables 4 and 5 present the results of a three-level model of LBW assessing the interaction between world region of origin and destination, which was highly significant (p<0.0001).

Importantly, the risk stratification revealed a highly significant correlation with objective response ( P < .0001, chi‐squared test, Figure 3D ).

Specifically, the interaction effect was highly significant ( p < 0.0001), indicating that the combined influence of MTG concentration and incubation time is critical for understanding their impact on leakage properties.

MYOCD x CSPG4 correlations were highly significant across the brain regions examined in this analysis (P < 0.0001 throughout).

As shown in Additional file 1 : Figure S1, the correlation of eGDR calculated using this formula with glucose disposal rate (GDR) measured with euglycaemic-hyperinsulinemic clamp in 140 T2D patients was highly significant ( r = 0.624; p < 0.0001); moreover, it was higher than that of Homeostasis Model Assessment – Insulin resistance (HOMA-IR) in the 85 patients with calculable values ( r = 0.441; p < 0.0001) and similar to that reported in the validation study in T1D individuals [ 25 ].

When comparing the medians (interquartile ranges) of the 2 GA-T trials performed by the participants, no significant difference was noted, although the time to complete the second trial was shorter [365 (260-545) s vs 360 (250-540) s, P=0.81]; highly significant intraobserver agreement (P<0.0001) was observed between the measurements of the 2 GA-T trials (ICC=0.97 and 95%CI: 0.96-0.99).

Between group comparisons revealed a highly significant difference in antibody concentrations for male rats compared to female rats at weeks 8 ( p < 0.0001) and 10 ( p < 0.01).