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The differences that we found in calibration parameters between the standard model and random intercept logistic regression model (either used with the marginal or conditional risk calculation) slightly disappeared when the cluster effect was correlated with one of the predictors (Pearson correlation coefficient between cluster and X1 = 0.4, see Additional file 1: Table S1, S2 and S4).
not significant In contrast to O R usage, O R encoding strength by itself (i.e., size of the postlearning O R compatibility effect) was correlated with a different set of functional couplings, and this correlation was structured in a completely different way (see Table 3 and Figs. 4 and 5).
The effect was correlated with the activation of the PI3K/Akt signal pathway.
The antiproliferative effect was correlated with ERK activation and p21waf1 induction.
The magnitude of the ER effect was correlated with bulk ionic conductivity of the studied materials.
The external mass transfer effect was correlated with a model of the type JD = K Re−(1−n).
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The oxidation stability, magnetic susceptibility and catalytic effect are correlated with parameters of each dopants metal.
This effect is correlated to the build up of MoO3 crystals and of Al2(MoO4)3 at relatively high loading.
Experimental results for indentation size effect are correlated with the predictions from a dislocation-based strain-gradient plasticity model.
Some genetic markers (MAOA) and environmental factors (violence in childhood, mothering effect) are correlated to the development of a predisposition to antisocial feelings and acts.
Interestingly, this damping effect is correlated to the pore diameter of the scaffold, furnishing thus target values in the design of the scaffold.
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