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A model National Emergency Health Policy with policy goals, objectives, programs and evaluation benchmarks was generated.
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For experimentation purpose, ten large benchmarks are generated, synthesized, and partitioned using a combination of locally developed and commercial tools.
The SIs employed for fusion, in all the benchmarks, are generated through OBMC and OBDC and denoted as Y OBMC and Y OBDC respectively.
For the benchmark set, a new alignment was generated using the sequence associated with each PDB.
A series of benchmarks have been generated during the evaluation process for technology selection.
Two sets of benchmark instances were generated to evaluate the proposed algorithms.
For every parameter of each operation, a set of valid input values (values in the parameter domain specified by the benchmark user) is generated randomly.
To assess statistical significance, 1000 repetitions of the benchmark dataset were generated by randomly shuffling the order of the assays and repeating the procedure described above.
To assess statistical significance, 1000 repetitions of the benchmark dataset were generated by randomly shuffling all components of the dataset (i.e. the order of the molecules, the set of neighbours) and repeating the procedure described above.
Simulation data for benchmark tests were generated partially based on a study by Guttman et al. (2007).
From this pool, 52 benchmark sets were generated that each contained four randomly chosen types of complexes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com