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We apply these matrices to a problem in modular arithmetic.
Japanese companies reported using existing product data (e.g., warranty) and a broader set of matrices to a greater extent.
The general modeling approach uses [6 × 6] transformation matrices to reflect contact stiffness matrices to a common coordinate system where they are added together as a parallel combination, for example.
Hardness was measured as the force (N) required to indent the matrices to a set distance (mm).
Treatment of JEG-3 cells with PROK1-conditioned menhancedhadhesionhesion to fibronectin (Fig. 6 A, lane 2) and laminin (Fig. 6 B, lane 2) matrices to a level comparable with that observed after treatment with recombinant LIF protein alone (Fig. 6 A, B ; lane 6).
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For ease of interpretation of estimates of variance components we standardized both matrices to an average diagonal value of (approximately) one.
Fig. 1 Transforming a similarity matrix to a similarity network.
In this scenario, the hit-matrix reduces from a matrix to a array.
Inconsistency is based on the distance of the matrix to a special matrix measured by a particular metric.
Basically, these methods try to fit the covariance matrix to a certain model.
The algorithm aims at partitioning the process' occurrence matrix to a specific block lower-triangular form.
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