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Covey discusses the four zones of the trust matrix, a combination of a high or low propensity of trust and a high or low degree of analysis.
In this matrix, a combination of colour, textual and numerical codes are used to define and rate the data sources.
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Since the T matrix was a combination of genetic architecture part (S matrix) and the G matrix according to equation 4, the favorable performance of BLUP|GA is mainly due to the genetic architecture part (S matrix) and the way we build the T matrix (weighted sum, equation 4).
The inverse problem is then solved with the LSQR algorithm (Nolet, 1987) since we can assume arbitrary damping matrix with a combination of diagonal and smoothing matrices.
In the current study, an experimental design approach was used to optimize the release properties of the model drug diclofenac from medical silicone elastomer matrix, including a combination of four permeation enhancers as additives and allowing for constraints in the properties of the material.
Many restoration methods apply (iteratively or not) a regularized inversion involving H T, or (R + H T H)-1 (where R is a regularization matrix), or a combination of both, such as their multiplication (which is a regularized version of H-1).
Assuming that any alternative in the decision matrix has a combination of beneficial and non-beneficial attributes, the total loss for choosing any alternative i can be written as L_{text{i}} = L_{text{S}} + L_{text{H}} (21 where L H is the loss caused by the beneficial attributes and L S is the loss caused by the non-beneficial attributes.
In a wider context, our approach provides a new way to deliver drugs specifically to the mitochondrial matrix through a combination of TPP targeting and ROS-induced uncaging.
Risk (R) is the product of consequence (C) and likelihood (L): R = C × L. In qualitative risk assessment, risk is illustrated in a two dimensional matrix as a combination of consequence and likelihood.
We performed this inference on both untrimmed and BMGE-trimmed versions of the concatenated matrix, using a combination of NNI and SPR heuristic searches, and inferring under the LG+F model with four 'free' (--free-rates) categories of rate variation.
We generated the miRmR map matrix using a combination of four target-prediction algorithms - miRanda (as implemented in miRBase), PicTar, TargetScanS and miRGen (intersection of PicTar (4-way) and TargetScanS).
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