“highly significant”

The decline close to the cell bodies was not significant (37 ± 3% to 26 ± 4%; Figures 3E and 4A ; t -test, P < 0.08; n = 31), but the three-fold decline at longer distances (>250 μm) was highly significant (14 ± 2% at P36 to P40 to 4 ± 1% at >P41; t -test, P < 0.0001).

Two-way ANOVA showed highly significant treatment effects ( p < 0.0001) and time exposure ( p < 0.0001).

The average responses for the 5 specimens decreased from 38.88 ± 2.13% when the skin on (with; Fig 6B ) to 4.03 ± 1.05% after skin removal (without; Fig 6B ), this 90% reduction being highly significant (P < 0.0001, Mann-Whitney non-parametric t-test).

We observed a highly significant linear correlation between the cycle threshold (Ct) of both genes (beta-actin vs GAPDH, r = 0.912, F [ 1 , 46 ] = 157.73, p < 0.0001).

Crucially, the interaction between genotype and group status was highly significant (F 2,509 = 22.14, p < 0.0001, η 2 = 0.080), with a statistical power of 99%.

Analysis of FSH and INB levels in the groups we defined, revealed highly significant differences among the 4 groups for both males ( P < 0.0001, ANOVA), and females ( P < 0.0001 and P < 0.001 for FSH and INB respectively) (Figure 1 ), as expected for the study design.

The association between biofilm category (strong, intermediate, weak, and non-biofilm producers) and the production of curli and cellulose was analyzed using a chi-square test, which showed a highly significant relationship across Salmonella Enteritidis isolates ( p < 0.0001).

The difference between NT-proBNP and galectin-3 being highly significant ( P < 0.0001).

A cutoff of 8.8 for max SUVmax advocated in our previous report was highly significant ( p < 0.0001).

group II (0.972±0.505 ng/ml), and the differences were highly significant (p<0.0001).

As shown by the χ 2 value of 106.102, this difference is highly significant with P < 0.0001.

Our study revealed that deaths associated with cardiovascular diseases and diabetes are highly significant ( p < 0.0001) compared to hospitalized in countries like Italy, France, and Spain unlike the Netherlands.

To further reveal the interrelationship between N400, P600, and behavioral scores, we first performed a correlation analysis, which revealed a highly significant positive correlation between the change in N400 and the change in P600 ( r = .769, p < .0001).

For RR, the difference between “combined actions including the power grasp” is highly significant when compared with “single actions” ( p = 0.0001, d = 1.5802) as well as when compared with “combined actions without the power grasp” ( p = 0.0039, d = 1.5178) after the Holm–Bonferroni correction.

The main effect of Age was highly significant with respect to accuracy (Figure 3 , F(1,58) = 11.9, p < 0.0001).

In addition, there were highly significant correlations in the immunostaining scores between these two-paired sets ( r >0.90 and P <0.0001, for each protein).

Interestingly, our formulation was capable of inducing a 1.65-fold higher immune response in rabbits than in cattle (i.e., a 65% increase); this difference was highly significant (p<0.0001; Figure-3a and b ).

Gentamicin showed the most prominent change, with a highly significant shift in overall susceptibility distribution (χ2 = 95.27, p < 0.0001).

Chemotype extract concentration also had a strong and highly significant effect on nematode motility (F = 20.44, p < 0.0001), demonstrating a clear dose-dependent response.

Data from non-island world countries provides more highly significant correlations (p < 0.0001) between COVID-19 morbidity, and: GDP (r = 0.616), overweight (r = 0.581), obesity (r = 0.583); COVID-19 mortality, and: GDP (r = 0.43), overweight (r = 0.556), obesity (r = 0.539); GDP, and: overweight (r = 0.601), obesity (r = 0.633).

This starkly contrasted with the control group, which exhibited a much higher activity level of 152.33±12.71 U/mg protein, with a highly significant difference ( P <0.0001).

This increase was especially pronounced for moribund individuals and during the “High & Prolonged 1” trial (Supporting Information Figure S2 ), and is supported by the highly significant differences in CIE b * values between trials ( F = 38.17, df = 6, P < 0.0001) and between monitoring periods ( F = 6.21, df = 4, P < 0.0001).

Results showed the most effective binary combinations against MRSA, excluding β 14 (SGEO-TET) and β 34 (SMEO-TET), while the ternary combination of VOEO, SMEO, and TET ( β 234 ) had a highly significant effect on SACI-1 ( p = 0.0001).

These differences were confirmed by ANOVA, in which F values for genotypic differences were highly significant ( P = 0.0001; Table 2 ) and coefficient of variation (CV) ranged from 16.5 to 28.6% for parental genotypes and from 40.0 to 83.7% for the RILs.

This reflects a -9.89% reduction in pore count from baseline, with a highly significant difference (p < 0.0001).