Sentence examples for implementing heterogeneity from inspiring English sources

In order to assess the validity of our understanding of the players' behavior we designed a new model implementing heterogeneity by starting from the same amounts of each of the five types of players (the model is referred to as heterogeneous model).

This model framework provides a means for analyzing individual-level risks of drug resistance and implementing heterogeneities among hosts, thereby achieving a crucial prerequisite for improving population-level models of drug resistance.

Table 2 summarizes the currently implemented heterogeneity indices in CGITA.

In our case study of ORC data, we found that more than ten of the current implemented heterogeneity indices outperformed SUVmean for outcome prediction in the ROC analysis with a higher area under curve (AUC).

Using the example of accidental tenofovir-based pre-exposure prophyaxis (PrEP) use during HIV infection, we will explore methods of implementing host heterogeneities and their long-term effects on drug resistance.

This is due to the implemented structural heterogeneity considered in the thermal model of this study compared to the interpolation between measured data points in the GeotIS project (Agemar et al. 2014b) assuming a homogeneous and isotropic configuration of the subsurface.

In particular, these recommendations will help guide the planning of investigations of clinical heterogeneity, implementing such plans, and reporting the findings.

The heterogeneity implemented in this work provides complex porous network and preferential pathways for mobile phase flow to a producing well.

We used two test statistics measuring compositional heterogeneity implemented in PhyloBayes.

Divergence times were estimated using the uncorrelated lognormal (UCLN) model of molecular evolutionary rate heterogeneity implemented in the computer program BEAST v. 1.8 [ 106, 107].

Meta-analysis of SNPs that showed evidence of effect heterogeneity was also carried out using the Han and Eskin random-effects model, which increases power to detect associations under heterogeneity, implemented in METASOFT software (Han and Eskin, 2011).