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The effect of the use of administrative versus clinical models on benchmarking is shown in figure 4. The majority of SMRs calculated using the original administrative model was higher than 1, which indicates that the model underestimated the risk of mortality.
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In this prospective, randomized, controlled study, benchmarking was shown to be an effective tool for increasing achievement of critical quality indicators and potentially reducing patient cardiovascular residual risk profile.
This benchmark is shown in Fig. 7.
The breakdown of results for mips and motion benchmarks is shown in Figure 19a,b, respectively.
A systematic set of benchmarks is shown in Table 1.
The full comparison between LoopIng and the other methods assessed on the FREAD benchmark is shown in Supplementary Table S2.
The contingency table used for this benchmark is shown in Table 5. P signif can be written as N22 / (N21 + N22) and P non - signif can be written as N12 / (N11 + N12).
The distribution of entity types in the benchmark is shown in Table 2. > The data were distributed in a set of files that included eight curated CTD entries describing the following chemical compounds: raloxifene, aniline, amasacrine, doxorubicin, aspartame, quercetin, 2-acetylaminofluorene and indomethacin (5).
Performance on the pose, illumination, and expression subsets of the benchmark are shown in red, blue, and green, respectively.
The comparison results of the proposed hybrid approach with the current existing approach for different benchmarks are shown and the speedups obtained are also presented.
Comparative benchmarks are shown for system sizes up to 11,520 atoms (172,800 basis functions) on distributed memory supercomputing architectures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com