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ePKs are the largest group and have been sub-classified into 8 families by examining sequence similarity between catalytic domains, the presence of accessory domains, and by considering modes of regulation [ 10, 11].
In considering modes and mode feature effects we will focus upon three issues that may be of particular relevance to those collecting data in a health context: antecedent features, constraints in choice of mode and the use to which the data is being put.
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Including the first 21 mode shapes as imperfect geometries will reduce the buckling pressure compared to only considering mode 1.
Simultaneously considering mode and future intention, we observed that the effects of the telephone mode (vs. mail) and future intention question were virtually unchanged (OR = 1.12 and 1.18, respectively).
However, beyond the considered modes, the predicted FRFs do not match the experimental FRFs.
Numerical results show that, upon the choice of the appropriate approximation order, very accurate results can be obtained for all the considered modes.
Therefore, I consider mode 3, and other higher modes, to be noise.
In the previous section, we considered mode switching in a static network.
We consider Mode I crack in particulate materials whose constituents are able to rotate.
Therefore, here, we consider mode adaptation (MA) that combines PMI and LI to obtain the "best" system performance.
Any particles that could be considered Mode 3 would then simply be the large size wing of the size distribution in these simulations.
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