The interaction terms, including pHTemp, pHConc, and TempConc, highlight significant combined effects, with the TempConc interaction being highly significant ( p < 0.001).
Excerpts
Upper beak length exhibited a significant ( p < 0.01) increase in both treatment groups, while lower beak length showed a highly significant ( p < 0.001) increase in the Vit B12 group compared to the Pb group.
For traits related to plant architecture and biomass allocation, branch number, root dry weight, root-to-shoot ratio, and root volume, the cultivar term accounted for the largest mean squares, with highly significant effects ( P < 0.001) and non-significant treatment and interaction terms.
MGEs were also significantly associated with ARGs (M2 = 0.695, P = 0.024) and showed a highly significant correlation with MRGs (M2 = 0.601, P < 0.001).
The functional enrichment of these genes showed that the genes assigned to the enzyme gene category 27 (e) were highly significant ( p < 0.001) for growth in both media (Fig. 1 C).
Analysis of variance (ANOVA) showed that the effects of neck, as shown in Table 11 , trunk and knee were all highly significant, P < 0.001.
After obtaining highly significant results ( p < 0.001) for both factors and their interactions, mean values of linear shrinkage, DC, shrinkage stress, maximum shrinkage stress rate, and time to achieve maximum shrinkage stress rate were compared among the composites using one-way ANOVA and Tukey’s adjustment for multiple comparisons.
The ANOVA results for the effect of the independent parameters on the dependent parameters for the single flange rotary tiller experiment are shown in Table 3 . Effect of independent parameters on the power requirement It can be seen from the ANOVA results in Table 3 that the model for the power requirement was highly significant (P < 0.001).
However, the interaction of stimulation by risk-to-lose got highly significant in the overall model ( z = 6.60, p < 0.001).
A highly significant positive correlation was obtained between tocopherol content and α-tocopherol (r = 0.97, ***P < 0.001).
The observed p -value is 0.0001, which falls in the “Highly Significant” range ( p < 0.001), meaning the improvement from PSO + RF is statistically significant.
Results are presented as mean ± S.E., with p < 0.05 considered statistically significant, p < 0.01 highly significant, and p < 0.001 very highly significant.
The regression between cochlea length and body mass is highly significant (ca. 54%, P < 0.001), but the respective scatterplot (Fig. 4 A) allows the observation that this result is mostly driven by rodents, the group with the widest body mass range in the sample.
Highly significant differences ( p < 0.001, two-tail t-Test; at 5% level of significance) was observed later after 36 h of incubation in Kuroshio and STG samples (Table 2 ).
However, three variables were found to have highly significant correlations (p < 0.001) with TCL at every scale and region assessed—FDI (positively correlated at each scale/region), percent of rural population (negatively correlated at each scale/region with a slightly weaker correlation in Africa [p < 0.01]), and GDP per capita (positively correlated across scales/regions except for Africa, which was negatively correlated at the p < 0.01 level) (Supplementary Figs.
The authors reported that regression of body height, body length and heart girth had highly significant ( P < 0.001) effects on body weight.
The pollutants included in the redundancy analyses (RDA) explained 62% of the variation of the biomarkers of energy metabolism, and the RDA model was highly significant based on Monte-Carlo test (1000 replicates, RV coefficient = 0.49, p < 0.001).
A very good separation was provided by the hybrid biomarker between the two lesion types that was found to be statistically extremely significant (p < 0.001).
The effect of trap model was highly significant (χ 2 = 50.6, df = 3, P > 0.001), whereas population of origin (χ 2 = 4.02, df = 3, P = 0.26), sex (z = −1.616, P = 0.106) and aquaria identity (z = 0.34, p = 0.73) were not.
Moreover, monocyte and red blood cell counts showed highly significant differences between the factories both before and after the employment period ( p < 0.001).
A moderately significant positive correlation was found between PTs’ attitudes and beliefs towards MSS management and their actual integration of MSS care ( r = 0.46, p < 0.001).
The correlation between the number of nematodes inserted and the number of nematodes detected by BSPIM was highly significant (linear regression R 2 = 0.9903; Spearman rank-order correlation p < 0.001, n = 5; Fig. 4b ).
Regression analysis revealed a highly significant correlation between δ 13 C in modern Sphagnum and the present WT depth ( R 2 = 0.67, p < 0.001, Fig.
Temperature (tm) had a highly significant positive effect on the number of red deer ( P < 0.001, Coef = 10.25, T = 13.89), indicating that a 1 °C increase in temperature was associated with an increase of approximately 10.25 individuals.
While GCS at admission had no influence on PH rates ( p = 0.356), its predictive value for overall mortality remains highly significant ( p < 0.001).