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The strong antecedent effect of depression as a risk factor in the development of coronary artery disease (CAD) has been demonstrated in many robust epidemiological studies.
Reliability analysis using post-optimization Monte Carlo analysis proved that while a stochastic single objective optimization failed to provide reliable solutions with a stack size of 50, the proposed method resulted in many robust solutions with high reliability close to 1.0.
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To circumvent this disadvantage, in the literature, many robust association tests have been proposed [ 7, 12, 14– 22].
In recent years, many robust approaches have been developed to allow researchers to efficiently investigate the role of chromosome conformation in gene regulation on a fully genome-wide scale.
In conclusion, up to now, genomic research to identify drivers of healthy aging and longevity in humans has not yet delivered many robust longevity loci and pathways.
Compressive sensing generally relies on the ℓ 2 norm for data fidelity, whereas in many applications, robust estimators are needed.
We discovered many robust novel prognostic molecular features that were undetected in prior studies.
Many robust distributed beamforming techniques for relay networks have been proposed in the literature[17 24].
However, many robust *features* can be reliably inferred (using, for example, bootstrap, just like in phylogenetics).
We focus now on attractors that are robust and apparently prevalent in many such systems: robust heteroclinic attractors.
The application of simple empirical equations for estimating reference evapotranspiration (ETo) is the only alternative in many cases to robust approaches with high input requirements, especially at the local scale.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com