In this work we have chosen to use resin phantoms, which allow us flexibility of shape for later studies in head models while maintaining experimental consistency.
All reports were analyzed using story-grammar rules, which allow us to identify units larger than single contents and describe their story-like organization.
Thus, it is essential to use mathematical pathway models which allow us to calculate more solutions, going beyond canonical metabolic pathways.
The Li-BSF used was a new method which allow us to modulate and choice the depletion width.
We represent the nonlinear mapping using artificial neural networks (ANNs), which allow us to deal with the complicated force planning strategy.
Further, we give some useful properties of cone metric spaces, which allow us to prove convergence results for Picard iteration with a priori and a posteriori error estimates.
Software process models, which allow us to develop software products, can be improved by using the corresponding quality model.
These relations may be used for elaboration of the forecasting models, which allow us to calculate probability of the solar proton events from the X-ray observations.
Ultimately, these models could be useful to guide the design of novel therapies, which allow us to control the progression of heart failure.
In this work, we use four different computing systems with shared memory, which allow us to confront our shared memory implementations against a similar distributed memory implementation.
We employ efficient computational methods which allow us to study very large systems.
