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We study a single-commodity Robust Network Design problem (RND) in which an undirected graph with edge costs is given together with a discrete set of balance matrices, representing different supply/demand scenarios.
The same phylogenetic tree was used to simulate nucleotide sequence matrices representing different partitions within a replicate, but different tree topologies were used for each replicate.
Consistent with these two matrices representing different periods and sources of exposure, we observed modest correlations between bone and blood Pb concentrations.
RepeatMasker currently uses a variant of RepBase [ 14], a library of consensus sequences (representing the ancestral sequences of each transposon family), and an assortment of (non-position-specific) score matrices representing different transposon ages and target sequence isochores.
Matrices representing different segment lengths were tested, starting with the shortest possible segment satisfying the requirement of ≥1 GLAS shot per segment (i.e. one half the length of the longest gap between GLAS shots on the number line) and working upward until a viable solution was found.
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In effect, Stalnaker's 2D matrices represent different meanings that an expression could have had if it had occurred in different empirical circumstances.
This is intriguing given that these two matrices represent different sources and timing of Pb exposure.
LIMMA requires a design matrix representing different RNA targets, as well as a contrast matrix assigning the coefficients of the design matrix to the contrasts of interest (i.e., expression over time, disease status, and/or treatment).
Different regions of the criticality matrix represent different levels of criticality for rolling stock components.
Different cells within this matrix represent different volumes of ocean.
In small populations that are in the sequential fixation regime, we simply add additional transient transition matrix elements representing different mutations, with the uphill mutations transitioning to the uphill absorbing state, and similarly for the valley-crossing mutations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com