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Two models differ in terms of the geographic scope used to derive land use matrices that quantify land use conditions.
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An overall measure of controller suboptimality is proposed along with a matrix that quantifies the closed-loop interactions among control loops.
Pagel's λ is a multiplier of the off-diagonal elements of the covariance matrix that quantifies the degree of phylogenetic relatedness between species.
Performance variability, a measure that reflects the temporal and non-temporal processes for each task, was used to construct a dissimilarity matrix that quantifies the distances between pairs of tasks.
A fundamental step when performing cluster analysis is choosing an appropriate similarity matrix that quantifies how similar individuals are with respect to measurements provided in the variables.
At the top layer, given a disease phenotype similarity profile (a real-valued matrix) that quantifies pairwise overlaps of diseases in their clinic traits, we construct the disease-disease similarity network by using two strategies.
The low echogenity pixels that quantify the hydration degree of the extracellular matrix especially in the lower dermis, are replaced by medium and high echogenity pixels, quantifying protein synthesis.
Based on this stochastic matrix we propose and compute an entropy measure that quantifies the degree of randomness in the local pattern of information flux around single genes.
Using this stochastic matrix we propose to use an entropy-like measure that quantifies the amount of disorder or randomness in the local flux distribution (Methods).
For every time sample, this gives a matrix that quantifies, in units of standard deviations, the differences in the overall replication kinetics from one chromosome to another.
To quantify the strength of the influence that is exerted by the conservation of the three physico-chemical amino acid features polarity, volume and hydrophobicity, we constructed matrices that contain the differences of these quantities for each amino acid pair.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com