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NVP-HSP990 (24, 24) was obtained from Novartis Pharma AG and formulated using a propriety solution.
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The model is designed for multilocus genomic sequence alignments, with one sequence sampled from each of the three species, and is formulated using a Markov chain representation that allows use of matrix exponentiation to compute analytical expressions for the probability density of coalescent histories.
The fluid is modeled as a Newtonian inviscid pulsatile flow and it is formulated using a hybrid model based on the linear potential flow theory and considering the unsteady viscous effects obtained from the unsteady time-averaged Navier-Stokes equations.
The fluid is modeled as a Newtonian pulsatile flow and it is formulated using a hybrid model that contains the unsteady effects obtained from the linear potential flow theory and the pulsatile viscous effects obtained from the unsteady time-averaged Navier Stokes equations.
The stress and strain partitioning into the austenite and martensite phases are formulated using a mean-field homogenization approach.
A control-like problem and a structural optimization problem are formulated using a common framework.
To facilitate the modeling, the coupling between the AMS and the adjacent acoustic fields is formulated using a sub-structuring approach.
The problem has been formulated using a linear integer programming model and solved by the CPLEX.
The problem is formulated using a mixed integer linear programming model, whereby accessibility and quality are translated to euros.
A fourth predictor, the Reynolds Risk Score, performed best, but was formulated using a more narrow, lower-risk population.
Latent class models with conditional independence can be equivalently formulated using a loglinear framework [ 11, 12].
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