Excerpts

The p overall and p trend for the RS mutations were both highly significant (p<0.001) demonstrating a clear mutagenic effect, with the exception of the lowest dose tested (0.25 Gy) where no RS mutations were observed.

Patterns in genetic diversity Global population differentiation was highly significant using all SNPs (global F ST = 0.0068, 95% CI [0.005, 0.0105]; global genic differentiation test, p < 0.001), although clustering analyses with ADMIXTURE provided the strongest support for the model with a single underlying population (Fig C in S1 File ).

We detected highly significant fits (p < 0.001) for weekly and monthly data with R 2 and MAPE values of 0.948, and 21.622% and 0.955 and 29.316%, respectively, whereas for the annual data, we detected significance at the p < 0.05 level, with a higher MAPE value (52.96%).

Car size was also highly significant, F (1,59) = 126.512, p < .001, η p 2 = .682.

Patients with heart failure also showed a trend toward higher risk at overall follow-up ( HR = 1.61 p < 0.001).

In contrast, the CPP for domestic Canadian papers was 16.99, a highly significant difference (P<0.001).

There was also a directionally similar borderline significant difference between inverted faces and angry faces ( Mdn = 261.68 ms), Z = 2.50, p = .001, r = .30.

A highly significant (p-value = 0.001) age factor for the severity and prevalence of sleep apnea was also observed in this study.

The results are highly significant for the entire shape ( F = 55.22; df = 1, 98; p < .001), the haft shape ( F = 26.95; df = 1, 98; p < .001), and the blade shape ( F = 69.67; df = 1, 98; p < .001), and we confidently reject the null hypothesis of “no allometry” (full results in S2 Table 1 in S2 Table ).

Overall, there was an increasing trend of RWE abstract acceptance from 2018 to 2020 (2018 vs 2019 vs 2020: 27.16% vs 33.6% vs 39.24%; p < 0.001) ( Table 1 ).

The effect of temperature was highly significant with lower temperature resulting in higher adult L. bostrychophila counts (t = −5.763, p<0.001).

Bartlett’s test of sphericity was highly significant, χ2(78) = 1200.15, p < .001, confirming that the correlations between items were sufficiently large to proceed with factor analysis.

All reported reductions were highly significant (p<0.001) due to the forced modeling.

Concerning the correlations between the measured endocrine parameters in chickens (regardless of the butyrate exposure), highly significant (P < 0.001) positive correlations were found between plasma GIP and GLP-1 values ( Fig 3A ), GIP and insulin levels ( Fig 3B ) and GLP-1 and insulin concentrations ( Fig 3C ).

The correlation between predicted ranking and adoption probability is negative and highly significant (−0.013, p < 0.001).

The 250 mg/kg and 125 mg/kg doses showed highly significant activity (p < 0.001) compared to the control group in the hot plate test.

This difference was highly significant (corrected p -value < 0.001) in 15 of 17 patients (88%) for both cumulants and less significant (corrected p -value < 0.01) in the other 2 patients.

For both parameters, we could confirm a statistically highly significant correlation between the NLR and CRP/fibrinogen (p-value of <0.001; for NLR>3.95 and CRP: Pearson's r = 0.5; Spearman's rho = 0.4; for NLR>3.95 and fibrinogen: Pearson's r = 0.4; Spearman's rho = 0.4).

For both ERs and RTs, the GEE showed highly significant main effects of Age Bin (χ 2 = 674, p < .001; χ 2 = 1081, p < .001) and Trial Type (χ 2 = 551, p < .001; χ 2 = 37, p < .001), and Age Bin*Trial Type interaction (χ 2 = 28; p < .001; χ 2 = 63; p < .001).

Within-group analyses of the SCAS reports from pre to 12-month follow-up (see Fig 4 and Table 4 ) revealed large and highly significant improvements for all responders (adolescents: d = .99, p < .001; mothers: d = 1.10, p < .001; and fathers: d = .94, p < .001).

For the first node, there were seven possible pairs, and it was apparent that the majority of features were extremely significant between the normal person samples and the patient samples (N vs. rest, 57 features with p <0.001) among all these possible pairs.

Geographic distance, chronological distance, and the interaction term all have a highly significant effect ( p < .001).

The sex of the animal, location and agro-ecology were fitted as fixed effects in the model and had highly significant (p<0.001) effects for most body measurements.

Despite the difference was not significant in the 50–59 (53.6% vs 54.2%, p = 0.972) and ≥70-year-old age groups (121.1% vs 80.8%, p = 0.130), the overall difference between men’s and women’s remaining sLYD estimates was large and highly significant (101.6% vs 52.2%, p< 0.001).

A one-way ANOVA on these ratings with prime type (5) as a repeated measures factor revealed a highly significant main effect of prime type, F (1.11, 28.79) = 257, MSE = 2.45, p < .001, ηp2 = .91 Power = 1).