Excerpts

Our results also demonstrated significant relationships for the control variables of cattle and crop density (p<0.01) and highly significant relationships (p<0.001) for lagged deforestation, time period fixed effects, and the spatial autocorrelation coefficient (Rho).

Difference in survival between the genotypes (R) and (S) in the deltamethrin treated group was highly significant (Pearson’s chi squared; p<0.001, Table 5 ).

The initial DFA model, which included 14 characters measured from 137 scorpions, confirmed that morphological differences between the sexes were highly significant (Wilks’ Λ = 0.12, χ 2 = 266.87, df = 14, P < 0.001, canonical correlation = 0.936), with means for the discriminant function scores of-2.22 (range = -0.38 –-4.33) and 3.12 (range = 1.25–6.01) for females and males, respectively.

Both time points showed a highly significant increase in weight compared to day 7 (p≤0.001).

This is also supported by the observed statistically highly significant interaction term (p<0.001) between life event stress and the character trait optimism vs pessimism (line 325).

For example, for 614 isolated spinal vertebrae, correlation was highly significant (p<0.001; r = .704).

However, in the analysis of floret germination during three years by GLZ with multinomial model (three categories; germinated in the 1 st , 2 nd and 3 rd year) the effect of site was not significant (Wald Statistics 0.8, p>0.05), while effect of floret position within a spikelet was highly significant (Wald Statistics 138, p<0.001).

Glucose consumption and lactate accumulation were strongly correlated with a negative trend in viability seen between 12°C and 37°C ( r = -0.784 and -0.700, respectively; P < 0.001 in both cases).

Regarding Putting Accuracy (PA), TATG and SBTG exhibited substantial gains (Δ = 0.3% and 7.5%, respectively), with TATG achieving highly significant results (F = 258.05, p < 0.001, η2p = 0.92), while ACG showed negligible improvement (Δ = 0.1%).

We found a significant effect of age : w AlbB interaction ( F = 4.55, P = 0.037), a significant effect of population ( F = 3.58, P = 0.034) and a highly significant effect of w AlbB ( P <0.001), while all other interactions or main effects were non significant ( P >0.05).

Heatmaps were constructed to enable visualization of data for the top 25 highly significant compounds that had large changes in abundance in dogs with sepsis at the lowest P-values <0.001 ( Fig 2C ).

The variable “Open access” was highly significant ( p < 0.001), with a positive coefficient of 0.786, suggesting that open-access studies are associated with higher R 0 values.

This difference was highly significant (p<0,001).

For the lack of the scope of communicating with the students of the companies, it caused highly significant depression (p < 0.001) also significant stress (p = 0.041).

When comparing individual quintiles, a positive trend with mortality was found (multivariable-adjusted test for trend: p<0.001, S1 Fig and Table C in S1 File ).

The association of low Dnase1 mRNA levels and presence of EDS in GBM was statistically highly significant (correlation coefficient = −0,565, p<0,001, Table 1 ).

ANOVA consequently revealed a highly significant main effect of CORT level ( F 1,18 = 40, p < 0.001) ( Fig. 2 ).

Controlling for age in the model did not alter results, neuroticism and extraversion remaining highly significant (p < .001) predictors.

In both cases the main effect of education was found to be highly significant (p<0.001).

The risk variable was highly significant (p<0.001); as was years of experience (p = 0.004); but 2D∶4D was not (p = 0.911). 2D∶4D was, however, correlated with risk in a simple regression (n = 47, r = −.43, p = 0.001.

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

Regression analysis revealed highly significant (P<0.001 in all cases) linear relationships between the frequency of body undulations with tail excursions>90° and metabolic rate ( Fig. 3 ).

The fixed effect estimate (slope) was highly significant ( estimate = 0.16, CI = 0.12–0.20, p < 0.001, n = 500) and the residual analyses showed no deviance from the expected for the fitted model (S10 Fig in S1 File ).

T-tests demonstrated that difference in African proportions between the Hispanic Caucasian and the Hispanic non-Caucasian groups is highly significant (p<0.001), while the difference in the Native American proportions approaches statistical significance (p = 0.05).

P-values < 0.05 were considered statistically significant (*), p-values < 0.01 were considered highly significant (**) and p-values < 0.001 were considered very highly significant (***).