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An evidence base of the feasibility of canine rabies elimination has been built up and now easier access to information and tools enables countries to design and implement rabies elimination strategies in a logical way, utilizing the structures of regional networks for rabies control.
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By utilizing the structure of the posterior distribution we construct efficient data augmentation schemes which create a robust sampling procedure.
Utilizing the structure of digital radio frequency memory (DRFM), we impose phase modulation onto the intercepted radar signal and retransmit it to the victim radar.
The main contribution of this paper is that the minimum number of controllers is designed to force the state of each agent to the desired objective by fully utilizing the structure of the network.
Phases were calculated by molecular replacement using the PHASER component of PHENIX utilizing the structure of zinc-bound VIM-2 (PDB accession code 1KO3) as the search model.
The structures were determined by molecular replacement with the program Molrep (37) utilizing the structure of S1dC·MgADP·VO4 (PDB accession number 1VOM) (23) as the starting model.
Our method called deep Taylor decomposition efficiently utilizes the structure of the network by backpropagating the explanations from the output to the input layer.
Weakly enforced boundary conditions are particularly suitable when considering complex geometrical shapes, because they do not require dedicated data structures for the imposition of the boundary degrees of freedom, but, rather, they utilize the structure of the variational formulation.
These algorithms utilize the structure of the transformed sparse signal (e.g., wavelet-tree structure) as the prior information.
Using novel analytic methods that utilize the structure of biologic networks, we are able to identify the specific networks that are highly significantly, nonrandomly altered by regions of copy number amplification observed in a systems-wide analysis.
We utilize the structure of the ontologies to expand the search and identify matches such as 'neoplasm' or 'tumor' that are closely related to the search.
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