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A modelling structure for different architectures of Hybrid Electric Vehicles (HEVs) is presented in this paper.
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We used the Rosetta structure prediction algorithm (www.robetta.org) [ 47] to model structures for the signal sequences Y21, CA25 and the three chimaeras that showed surface INV activity (CH-C, CH-BC and CH-CD).
For this, it employs the VOROLIGN structural comparison between the model structure for the target with the native template structure used for the model.
We used dummy-variable regression model structure for analyzing the winter weather impact on truck traffic.
Guidance for selecting an appropriate model structure for a particular closed area problem is given.
Fig. 1 Decision tree model structure for children with CHD during the first year of the model simulation.
Figure 5 Model structure for a human sharing control of a virtual percussion instrument with a neural oscillator.
Fragility analysis is carried out to investigate the failure probability of each model structure for a given seismic intensity.
By comparing the effect of changes in model structure for different model objectives, model selection can be better evaluated.
Functional expansion (FEx) models are a subclass of the general block-oriented model structure for nonlinear process systems.
The model structure for actual measurement was built by using a steel-reinforced concrete cube (sides 3 m).
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