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These meta-phenotypes illustrate global phenotypic variation and sensitivities, trade-offs associated with multiple engineering goals, and fundamental differences in organism-specific capabilities.
If multiple engineering goals are selected, then a resultant set of Pareto optimal designs are tabulated where one can compare alternative designs with competing metric values.
Many, or even most, real engineering problems have multiple engineering goals, such as maximizing operational performance, minimizing material cost, and maximizing experimental reproducibility.
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Persistent during these advances has been the desire to develop design strategies that address multiple simultaneous engineering goals, such as maximizing productivity, while minimizing raw material costs.
Conversely, our approach addresses the multifaceted nature of metabolic engineering design processes by exhaustively generating and systematically analyzing more than four hundred million designs that incorporate both extracellular (i.e. medium composition) and intracellular (i.e. genetic knockout) perturbations and multiple microorganisms and engineering goals.
Figure 3 and Additional file 1: Figure S5 show all candidate designs and Pareto optimal designs for multiple (two and three-dimensional) engineering goals.
These engineers varied in age from 22 to 50 and came from multiple engineering subfields.
How do they persist in their science and engineering goals after transfer?
Therefore, the engineering goals are preventing such surface constructions from mining damage.
We have world class engineering students and faculty from multiple engineering disciplines.
So far, we focused on specific engineering goals.
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