Accordingly, when we distributed the excitatory inputs on the apical tuft of a layer 5 pyramidal neuron and placed the inhibitory inputs 'on the way' to the soma (Fig. 6 A, left), we observed lower voltage clamp error even though synaptic currents had similar characteristics to the co-aligned distribution shown in Fig. 6 A, where large interactions were observed.
Further research to understand the mechanisms behind the other variables with large interactions is clearly warranted.
Using the smaller interactions as a decision guide, follow-up analyses for the larger interaction were limited to anterior and posterior temporal electrode locations.
However, if a large interaction effect is found, then this indicates a non-constant risk relation.
The central location of Med16 within the Tail module and a large interaction surface with Med5 are consistent with the finding that the entire Tail module is destabilized and lost in Mediator preparations from a strain from which the MED16 gene was deleted (Li et al., 1995).
Increasing the observed interactions in the PBC and AUGIB datasets by a factor of 7.5 resulted in the odds ratio or hazard ratio of the largest interactions being increased to almost 399 and 162 respectively.
In scenario III where C is the predominant factor, power to detect an A × E interaction is even larger when C × E is present than when A × E is in the data.
A large muscle × age interaction was observed (p < 0.001, ηp = 0.20) for SLEO.
As expected, a significant main effect of p(C) was found, F 1, 74) = 16.41, p <.001, η p =.18, and no main effect of personal involvement nor an interaction was observed, largest F 1, 74) = 0.47, η p =.01.
In membrane processes a larger solvent-membrane interaction is linked to a higher flux through the membrane; thus, plotting the flux of pure solvents through a given membrane and grouping these data by flux is postulated to give an estimation of the HSP distribution of the membrane.
