A Potential Belief Of Thymidine kinase Revealed

As mentioned before we used a difference score as an index of inhibition (calculated by subtracting the baseline score from the interference condition score). This score was significantly different from zero for both the numerical [t(85) = 29.24, p ABT-737 nmr stroop task, which indicates that the task manipulation worked. The results of our analyses were very similar if we calculated (partial) correlations with the interference condition controlled for the baseline condition instead of the difference score. Secondly, the use of the MATLAB script provided by Piazza et al. (2004) for the non-symbolic numerical magnitude comparison task, including a control for the non-numerical parameters density, dot size and total occupied area, allowed us to divide the items into congruent items (i.e., items where children could reliably use non-numerical cues or perceptual features to make a correct decision, i.e., congruency between visual cues and numerical cues) and incongruent items (i.e., items where children could not reliably use non-numerical Nutlin-3 cell line cues or perceptual features to make a correct decision, i.e., visual and numerical cues lead to opposite decisions). Our data showed an effect of congruency: congruent items were solved faster than incongruent items [t(85) = -4.87; p 0.044), and therefore, the effect of this manipulation was not further considered. Thirdly, on the verification tasks we analyzed whether performance on items with different types of false solutions differed in reaction time and/or accuracy. In the addition task accuracy was significantly lower on the items with the false solutions with a distance of 2 of the correct solution, than on the items with a false solution with a distance of Thymidine kinase 1 of the correct solution (p