Sentence examples for modeling studies demonstrate from inspiring English sources

[1], [4], [27] [30] Understanding this heterogeneity is important, because modeling studies demonstrate that the models incorporating variability in transmission differ substantially from standard outbreak models, and, in these models, individually targeted interventions are much more effective than untargeted interventions.

These differences in coil choice are not trivial, as modeling studies demonstrate that coil geometry determines important factors such as the depth, width and relative intensity of the electric field generated in the brain [5].

On the other hand, modeling studies demonstrate that there is most likely substantial current dispersion under the electrodes, especially at the cerebrospinal fluid level, where the conductance is particularly high [34], [53].

Neural network modeling studies demonstrate that scale-invariant contour grouping is indeed possible in such a hierarchical network (Korjoukov & Roelfsema, manuscript in preparation).

Modeling studies demonstrate that the CCR5 antagonists bind in a similar pocket of the CCR5 receptor within the transmembrane region (Westby et al. 2005b).

Prior modeling studies demonstrated the need for sufficient supplemental immunization activities (SIAs) with OPV prior to globally-coordinated OPV cessation to prevent the creation of circulating vaccine-derived poliovirus (cVDPV) outbreaks after OPV cessation [ 2– 6].

This hypothesis has generated numerous modeling studies demonstrating that the standing level of genetic variation in traits can be explained by the demographic history of a species not linked to fitness of an individual (Wolf et al., 2000; Barton and Turelli, 2004; Hufford et al., 2012; Pyhajarvi et al., 2013).

Molecular modeling study demonstrated sterically stabilized conformations of polymeric conjugates.

A modeling study demonstrates that the obtained data for the reaction order can be transferred to RAFT polymerization systems.

This modeling study demonstrated the usefulness of multi-objective optimization in the design of mixed farming systems; the potential of the model to support the learning and decision-making processes of farmers and advisers is discussed.

This modeling study demonstrated differences in the impacts of humidification between forced air and radiant home heating methods.