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The bi-level optimization algorithm can be represented schematically as in Figure 7. On the first implementation of the Bi-Level optimization algorithm the dynamics of the boxed metabolites from Figure 1 are used but, following the algorithm structure, steady-state is assumed.
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This paper proposes to do just that based on an examination of the first implementation phase of the At Home/Chez Soi pilot project in Montreal, Canada (2009 2010).
Results of the second implementation on the eight-core are shown in Figure 11. Figure 11 Number of instructions & tasks distribution using 'Basic-NPS'.
Focusing on iris, the first implementation of a fuzzy vault scheme (see Section 2.2) was presented in [43, 44] in which salient feature points are extracted from iris textures.
The first implementation runs on a shared memory computer, the second one on a distributed memory computer, and the last one is a hybrid implementation executed on a distributed system in which each node is a shared memory multiprocessor.
Based on the relevant use cases, the first implementation of the programmable channel interleaver features 1 Mbit of local data memory and 256 kbit of address generation program memory.
The first implementation is the on-line estimator of source numbers improved from the cross-validation technique.
In the first implementation, based on a tapped delay line interpolator, the achieved resolution is in the 40 100 ps range.
To the best of our knowledge, this case study represents the first implementation process on strengthening the empowerment in healthcare encounters of persons with CKD and their family members.
On the second implementation it is assumed that only stoichiometric information is available for the reactions inside the box of Figure 1.
For instance, the first implementation of the API on the Parallella copies the local packet into a shared memory location for the master to consume it.
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CEO of Professional Science Editing for Scientists @ prosciediting.com