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The approach complements current model-based performance prediction and analysis methods by generating the benchmark application from the same application architecture that the performance models are derived from.
We incorporate patterns constructed in pattern-matching methods by generating a binary feature for each pattern.
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Having considered the impact of a number of biosynthetic features on chemical similarity search, we finally sought to quantify the performance of each chemical similarity method by generating realistic libraries of extensively tailored natural products, and thereby derive general recommendations for similarity search in modular natural product chemical space.
This study aims to update the computer color matching method by generating a new ceramic shade system that covers the entire spectrum of natural tooth color and has an efficient design.
In this new method, by generating large sparse global matrices and yet taking advantage of properties of Green's function, solution of more complicated physical problem is achievable while at the same time much less computational effort is needed rather than boundary element method (BEM).
We demonstrate the robustness of the method by generating mass maps and SZE images of galaxy clusters from N-body+gas simulations and realistic interferometric observation strategies.
In this sense, the current method of extracting voxels with a low likelihood of tau binding might also be applicable to the SUVR method by generating voxel SUV frequency histograms in both healthy controls and tauopathy patients.
This study aims to determine the changes in material properties of concrete due to climate change using the PBE method by generating SC that represent the changes in wind speed and sunlight exposure time, as climate change factors that can have greatest impacts on material properties of concrete.
The switch from infinite to semi-infinite boundaries should benefit our method by generating more accurate reconstructions of different chromophores.
The proposed method is also applicable to the interval mapping method by generating datasets with model (19) containing all marker loci on the chromosome under consideration.
Missing values in covariates were handled by multiple imputations (Markov chain Monte Carlo method) by generating five independent data sets for all analyses.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com