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A trait set size of five was chosen as a compromise between model convergence (models with more traits sometimes did not converge, and convergence times were prohibitively long) and the desirability of searching for covariance among as many traits as are often used in evolutionary studies of standard metric traits.
Serial cross sections through the moderately oblique convergence models (60 45°) are almost indistinguishable from the orthogonal model cross-sections.
60 and 45° oblique convergence models compare well to the Zagros where some strain partitioning on strike-slip faults occurs.
In contrast, for 30 and 15° oblique convergence models, strong deformation partitioning developed with steeply sloping pro-wedges that did not have critical tapers.
The literature has frequently used convergence models to show the role of demographic change on economic growth.
This approach includes: GRID convergence models, cloud, fog and mobile computing [13, 14]; association of computing clusters (grid, cloud and fog) in a single system; integration server application business logic, operating platforms, data warehouses; unification of administrative mechanism computing medium, information security on all data processing and storage levels.
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In the go-go days, cable operators touted a "convergence" model in which they would bundle TV and telephony and out-compete incumbent telecoms giants.
The report says providing adequate financial support and a well-organized focus within NIH for convergence research are key to the success of the convergence model, as is encouraging investigation that crosses existing research boundaries.
The convergence model is already under way at MIT, the report points out with some examples.
On the contrary, the convergence model shown in Table 5 can provide and manage essential information as a single record.
The goal of this training procedure is to update network parameters in order to obtain a convergence model.
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