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By Integer Linear Programming (ILP) model and heuristic solution, the proposed approach aims at the maximal coverage under the survivability constraints on the connection of wireless routers.
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Extrapolation of the proteome coverage progression further enabled us to specify the maximal coverage of the test set.
In all three repetitions, at least two peptides corresponding to AMOT p130 were identified in the tryptic digest, and the maximal coverage was 33% (see Figure 1 figure supplement 1).
Using this approach, we are able to obtain the maximal coverage of terms identified via lexical matching.
In another analysis variant, the maximal coverage problem, conservation targets for all features cannot be met within constraints.
Families were chosen on the basis of maximal coverage of loci in an alignment (not family age or size).
We determine the density of macro cells which gives maximal coverage at minimal cost, modelling an irregular dispersion of candidate base station locations with varying procurement costs.
The predicted progression enabled us to specify maximal coverage for the test sample.
The predicted peptides were then selected in a way that ensured maximal coverage of the available influenza A strains.
A third type of criteria of geometrical nature, e.g. a maximal coverage of the design domain, are based uniquely on the distance between the network stations.
This motivates us to select maximal coverage in the UL direction as asset for network coverage planning.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com