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This article presents an integrated decisional tool combining a bioprocess economics simulation engine with an optimization procedure to identify optimal expansion technologies for cell therapies.
Hence, the sensitivity analysis of this parameter was extended by assigning to it different values within the range 360 2,930 cm/g and running the optimization algorithm to find the optimal expansion technology, across different lot sizes.
Figure 7 shows the optimal expansion scheme for the incinerator over the planning horizon.
The optimal expansion plan is defined by minimizing B j to all j.
The optimal expansion ratio increases with the increases in gas pressure and nozzle divergent length.
The automation of optimal expansion order is obtained based on the minimization of total stress uncertainty.
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The main result is the derivation of an analytical solution for a sub-optimal expansion of the Volterra kernels using a set of Kautz functions.
For optimal cell expansion, DMEM/F12 is more promoting than OPTIMEM and culturing with FCS shows a slightly better proliferation compared with hS supplementation.
We present a computationally efficient mixed-integer program (MIP) that determines optimal generator expansion decisions, and hourly unit commitment and dispatch in a power system.
As the restriction is relaxed, 85% of the cost benefits of the optimal grid expansion can be captured already with only 44% of the transmission volume.
To validate the choice of this norm, we compare the optimal basis expansion predicted from the norm and the inverse tangent norm with the actual best basis in terms of reconstruction quality.
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