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In this paper, we present simple methods to calculate the corresponding confidence intervals based on known methods for interval estimation of standard epidemiological effect measures.
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The aim is to improve existing identification methods based on known strains at three uniformly distributed sections by increasing the number of sections considered and by distributing them non-uniformly.
We construct niche models for 10 Anopheles species recognized as vectors of malaria in Africa using a maximum entropy method based on known species' occurrences and environmental layers.
We have evaluated our method on both real and simulated data, and observed that the approach can effectively retrieve relevant metagenomic samples, outperforming both the FIGfams method based on known highly informative protein families as well as retrieval based on species composition of the samples.
The proposed method is compared against another exact local reconstruction method also based on known region.
Multi-step Mori-Tanaka mean-field homogenization methods, either based on known microstructural arrangement in the composite, or property contrast between the constituents, are applied to predict the composite thermal conductivity.
Such methods are based on known threshold schemes of information splitting extended by adding an extra stage at which bit blocks of the shared information are coded using suitably defined context-free grammars.
typhi intergenic regions, and motif models based on known Crp and PurR sites (see Methods).
Though the method is based on known techniques in literature, the practical approach and the treatment of the subject presented is unique and has not been reported earlier.
Though the method is based on known techniques in literature, the analytical approach and the treatment of the subject presented is unique and has not been reported before.
This can be realized in many different ways, and one of them is a triangulation method that is based on known reference object positions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com