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We develop a probabilistic graphical model based methodology to efficiently perform uncertainty quantification in the presence of both stochastic input and multiple scales.
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This paper outlines a network optimization based methodology to search the neighborhood efficiently and presents a proof of concept by applying it to the capacitated minimum spanning tree problem, an important problem in telecommunications network design.
To achieve our small libraries 24– 34, 34– 75, and 79– 99 (Scheme 2), a solution-based methodology to efficiently generate our library was pursued.
The focus of this work was to establish a pragmatic methodology to efficiently collect information from electronic medical records (EMRs) about patients who meet clinical research eligibility criteria.
This paper presents a methodology to efficiently design food supply chains.
We provide the scaling analyses performed on the Stampede supercomputer and numerical examples that illustrate the capability of our methodology to efficiently simulate different aspects of epitaxial growth.
To address this, we expressed GFP PKD1 or GFP in NRVMs by adenoviral gene transfer and employed GFP-Trap methodology to efficiently immunoprecipitate protein complexes associated with these proteins.
Here we describe methodology to efficiently place iTol2 cassettes precisely at the ends of the genomic DNA insert using either a loxP or a lox511 recombination system.
Here we describe a methodology to efficiently generate Drosophila knock-in alleles by capitalizing on the availability of numerous genomic MiMIC transposon insertions carrying recombinogenic attP sites.
They must also include methodologies to efficiently compare different solutions/scenarios.
These are the key features of information that require particular tools and methodologies to efficiently address them.
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CEO of Professional Science Editing for Scientists @ prosciediting.com