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The results also indicate a significant correlation between the α diversities of the zones and between their β diversities.
Our computational studies indicate a significant correlation between computed complexation energies of ABT-538 with the modeled mutant enzyme structures and the corresponding experimental inhibition constants.
Correlation coefficients above 0.1 or below − 0.1 indicate a significant correlation at the two-sided 99% level according to Student's t test.
Our phylogenetically based analyses indicate a significant correlation between opsins' G-protein binding phenotypes and amino acid positions in the fourth cytoplasmic loop of opsin, especially positions homologous to 310 and 312 of bovine rhodopsin.
In contrast, the data presented in Figure 1 indicate a significant correlation with age for PGE2 (Fig 1b; n = 56) with about 2-fold higher salivary levels of PGE2 in the subjects older than 40 years of age compared with those below 40 years (Table 2).
Because correlation analyses indicate a significant correlation within each bin between the total number of species (Table S2) and the rarefied species richness (Pearson r = 0.5654, p<0.0001) as well as the total number of occurrences (Table S1; Pearson r = 0.6739, p<0.0001), the SARs from the anthropogenic bin should have higher diversity if this bias were influencing our conclusions.
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The coefficient indicates a significant correlation.
Table 2 shows the Pearson r =0.152; p value 0.011 (p < 0.05) indicates a significant correlation between the two variables where n = 274.
In addition, regression analysis indicated a significant correlation between reduced amounts of C, N, P, and soil organic matter in eroded plots, and smaller tree volume.
Thus the statistical evaluation indicates a significant correlation between the dune's volume and pre-dawn water potential of the sample trees (Pearson Correlation Test, r = 0.37, t = 2.63, DF = 43, P ≤ 0.05).
The results indicated a significant correlation between the desertification hazard value with variables of wind erosion, precipitation, aridity index, technology development, slope index, vegetation state and land use changes.
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