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A study using robotic rotation analysis has demonstrated improved dynamic rotational stability with a double bundle reconstruction [81].
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It will be argued that in some sense the rotation algorithm problem in exploratory factor analysis has been solved.
For one, factor analysis has an array of rotations and extractions to choose from, given the same amount of variance from the original data.
Principal component analysis has been employed to extract the factors, and Varimax rotation has been used to clean up these factors in this study Table 4.
The analysis has started.
In the multivariable analysis having >35 degrees of internal rotation in at least one hip was predictive of better outcome of disability [ 37].
A previous study (Coordes 2014) has shown that this kind of rotation analysis could be applied to adaptive forest management under various uncertainties.
The analysis of rotation has important implications for evaluating patients with painful TKA.
Comparable analysis for mental rotation tasks has only been done for letters and numbers [ 2] but not for objects or body parts.
Factor analysis (promax rotation) had revealed that these four behaviors made up a separate factor.
Our analysis clearly show that the neuroretinal flow, which we describe, starts after the first, slight rotation and has already ceased before onset of the intense rotation of the optic cup (24 to 36 hpf, Schmitt and Dowling, 1994).
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