“highly significant”

The group effect was highly significant, F (2, 219) = 16.84, p < 0.001, BF 10 > 1000 (i.e., strong Bayesian evidence for H 1 ).

Furthermore, all the factor loadings are highly significant ( p < 0.001), and both the coefficient alpha values (0.880–0.931) and the composite reliabilities (0.882–0.926) of all the constructs exceed the 0.70 benchmark.

As such, there was a highly significant effect among sites within exposure (F 4, 30 = 10.1, p<0.001) but no significant difference in overall density of colonies of Acropora spp. between exposures (F 1, 30 = 0.8, p>0.10).

The model predicted 32% of the variance and was highly significant (R 2 = 0.32, P <0.001).

After adjusting for differences in baseline data, the addition of benzylpenicillin was independently associated with a highly significant reduction in the incidence of surgically revised SWI (adjusted odds ratio (OR)=0.36, 95% confidence interval (CI)=0.23–0.56, p <0.001), Table III .

found that after 1 month of treatment, the OSDI scores decreased from 55.45 to 25.85 (55.18% reduction) in the AS group and from 55.25 to 44.48 (19.5% reduction) in the PFAT group, and symptomatic improvement in the AS group was highly significant (p<0.001) ( 25 ) .

Both doses of the plant extract fractions (200 and 400 mg/kg) showed dose‐dependent anxiolytic and antidepressant‐like effects in mice, with the 400 mg/kg dose found to have highly significant ( p < 0.001) effects.

The difference between the two groups was highly significant ( p < 0.001).

These types of errors were highly significant (P < 0.001) with handwritten prescriptions compared with computerized, however, there was a few percent of computerized prescriptions that showed absent basic data.

Participants in the obese group had highly significant ( p < 0.001) increased BMI compared to participants with T2DM.

Finally, the distribution of the mean MIs among survivors and those who died revealed a highly significant difference by the Kruskal–Wallis test (H = 6351.263; GL = 1; p-value < 0.001) (Fig. 5 ).

Results and discussion We found that the effect of stretch was highly significant for ACE2 (p < 0.001) within both the Cnt and CSE groups ( Fig. 1 A).

This influence was highly significant ( p < 0.001) in the August drought period, while the TWD influence in the June drought period was slightly above the significance level ( p = 0.058).

When the correlation of the calculated clinical scores of the patients was evaluated, there was a statistically highly significant linear relationship between the HAI score and FIB-4 and APRI scores in the positive direction with weak strength (r=0.23 and p =0.001; r=0.19 and p =0.006, respectively).

This was a highly significant ( P < 0.001) reduction based on a pair-wise comparison.

Our results showed a highly significant difference in the genotype frequencies of TNF-α (−376 G/A) SNP between S-AKI and non-AKI patients ( p < 0.001).

Our data confirm that blowing the whistle is indeed effective in increasing the average proportion of reported income, being equal to 0.65 in the treatments in which subjects cannot signal others’ choices to the tax authority ( NoWhistle_NoInfo and NoWhistle_Info ) and equal to 0.80 in the treatments including the whistleblowing stage ( Whistle_NoInfo and Whistle_Info ), with this difference being highly significant ( p = 0.001, MW).

,[ 22 ] the prevalence of MetS in cases (53%) was statistically very highly significant when compared to controls (17%) ( P < 0.001).

These differences were found to be statistically highly significant ( p ≤ 0.001).

The differences were highly significant ( p < 0.001) when the average contents of AA (H: 154.38), DHAA (H: 364.97), and TAA (H: 120.73) were compared among generations.

CXR findings Twenty-five of 30 (83.33%) COVID-19 positive patients had abnormal findings in the CXR (bilateral lesions), compared to 37 of 87 (42.53%) in COVID-19 negative patients, and the difference was highly significant (p<0.001).

Compared with the “Very Low” category, the risk of death increased progressively across other categories, being not significant in the ‘Low’ (RR 1.37; 95% CI 0.99–1.89, p = 0.14), but significant in the “Intermediate” (RR 1.66; 95% CI 1.23–2.23, p = 0.018) and highly significant in the “High” (RR 2.24; 95% CI 1.69–2.97, p < 0.001) after Bonferroni adjustment.

The most comprehensive model, incorporating all three factors (age, WBC, and D-dimer), also yielded a highly significant AUC area of 0.723 ( p < 0.001).

AMMI ANOVA showed that the genotype, environment, and G × E interaction effects were highly significant ( p < 0.001) for GY (Table 5 ).

A repeated-measures ANOVA on vRTs revealed an highly significant difference among stimulated hemispheres [ F (1, 103) = 11.740; p < 0.001] with a right-lateralized hemispheric preference.