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The measurement starts by automatic movement of the Biodex lever arm at default speed up to the prior defined position (angle).
If two assessments with any 2 devices are performed to a maximal ROM of 180°, differences between both devices reaches up to 8°, which is ahead of the prior defined tolerance interval of 5°.
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These quantities are easily expressed in terms of model (6) and the priors defined in (10) (see Supplementary Section B).
Copies of the *.xml files used in all BEAST analyses, containing the priors defined, are given in supplementary material S6, Supplementary Material online.
The SAE model does not need the prior defining features [9]; only through setting up the node numbers of hidden layer units, the hidden layer information of the target object images can be automatically learnt, and the essence of the internal correlation of the target object images can be obtained.
We restricted these two analyses to women who reported collecting their samples in the a prior defined sampling windows since salivary cortisol concentrations change rapidly in the first hour after waking and incorrectly timed samples can misclassify cortisol profiles (see Additional file 1: Table S1 for a priori defined windows) [ 28].
Note that T1, T2, db1 and db2 are not independent as the order of the colonization imposes a constraint on T2 (T2 < T1), whereas T1 can take any value within the uniform prior defined above.
The process of quantifying verbal data of think-alouds is presented in Appendix 2. Skill necessity is defined by the counted frequencies on the basis of a prior defined cut-off point.
The shape prior defines the initial PS including its topology and constraints of its segments and control points.
Furthermore, the B-spline based non-rigid registration technique is detailed described prior defining the suggested improvements to make it suitable for material science applications.
Two different approaches are presented: in the first approach, the prior is defined by a single Gaussian distribution, whereas in the second approach it is defined by a Gaussian mixture to represent the well data multimodal distribution and link the Gaussian components to different geological lithofacies.
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