Sentence examples for capture the preferences from inspiring English sources
In economics, utility functions are used to capture the preferences or the willingness of a user to pay for a resource.
Results of a study of 64 individuals responding to a hypothetical decision problem show that none of these scales can accurately capture the preferences of all individuals.
The attribute-levels include all other "needle-free" methods of drug administration to capture the preferences of patients who desire oral drug delivery and/or have a fear of needles.
This suggests that our motifs sufficiently capture the preferences specified by the PSSMs that are useful for predicting Ste20p substrates.
We also employ a finite-mixture modeling approach to capture the preference heterogeneity across North Shore visitors.
The differences in the (K_{s}) distribution as produced by both models become more evident in log-linear scale, where we can clearly see that the EPR model does not capture the preference for recently-visited locations (see main plot of Figure 6(c) and Figure 6(d)).
Exploiting the large number of sequenced bacterial genomes and an operon structure which packages many pairs of interacting TCS proteins together, we developed a computational approach to extract a molecular interaction code capturing the preferences of a small but critical number of directly interacting residue pairs.
This range should ensure capturing the preferences of all clinicians and most patients interviewed.
Which technique best captures the preferences of society may depend on the research question and whether relative weights of various equity concerns will be investigated simultaneously in combined trade-offs.
Under these assumptions, the threshold probability, P t is equal to [ 27, 29, 30]: (1) P t = 1 1 + U 1 − U 3 U 4 − U 2 Equation 1 effectively captures the preferences of the decision maker towards administering or not administering treatment.
To evaluate the impacts of investment preferences on the development path of the power sector, we developed an agent-based model combined with Monte Carlo simulation to quantitatively capture the risk preferences and adaptive technical preferences of power enterprises in their decision-making process.
