Sentence examples for basis of models of from inspiring English sources
For this purpose, it is required to model the three-dimensionally nonuniform viscoelastic (rheological) crustal structure on the basis of models of thermal and lithological structures, and to model the regional stress field to be applied as a boundary condition (Fig. 2).
The species-specific repertoire, genomic organization, presence or absence of clusters and, in the case of vertebrates, numbers of clusters, and their deployment have formed the basis of models of animal body plan evolution and diversification [5], [6].
On the basis of models of fishing behavior, the U.S. EPA evaluated the benefits from what it considered to be the most important environmental pathway for mercury exposure: prenatal exposure from the consumption of recreationally caught freshwater fish.
On the basis of models of Fe(II) diffusion toward the oxidation zone and considering the microscale resolution of the measurements, a decrease in Fe(II) would have been predicted.
Recently, fewer deaths from mesothelioma have been reported than predicted on the basis of models of carcinogenesis (Berry et al, 2004; Pelucchi et al, 2004), raising the possibility of a gradual elimination of asbestos from the lungs (Berry et al, 2004).
After that outbreak, a study conducted on the basis of modeling of international commercial flight data to and from Angola suggested that DENV would most likely have been imported from Latin America (5 ).
These results will hopefully come from large randomised adjuvant studies and form the basis of models to predict patterns of relapse.
Funding based on a 'numbers' basis risks the reward of models of care in which multiple "revision" surgical procedures take place to rectify unsatisfactory outcomes or complications.
Since the optimal system design has been derived on the basis of models, methods of sensitivity analysis are applied to assess the model quality and reveal potential for model improvements.
The PPO model is compared to ordinal and multinomial response models on the basis of adequacy of model fit, significance of covariates, and out-of-sample prediction accuracy.
The feed forward back propagation algorithms was applied using different transfer function and best transfer function (logsig) is chosen on the basis of performance of model.
