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However, this approach requires very precisely manufactured phase masks, which are expensive and time-consuming to make.
Diagnosis through this approach requires very costly equipment and may not be installed in all hospitals and clinics.
That approach requires very simple computer calculations making it very attractive for process design and control in industrial applications of mixed-gas adsorption on solids.
It is shown that, for large scale DESs, the proposed approach requires very little computation to design a controller compared to a centralized design approach.
However, saturating entire genomes by this approach requires very large populations and it is restricted to specific genetic backgrounds (varieties).
In contrast, the bottom-up approach requires very granular cost data.
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CERN is currently using a minimal-functionality VM-wrapper in C to prototype BOINC applications for LHC physics computing, with an approach requiring very few host<->guest functions.
It is a"soft modeling" approach requiring very few distributional assumptions, variables can be numerical, ordinal or nominal, and no need for normality assumptions, while covariance-based SEM is a "hard modeling" with heavy distribution assumptions.
Three cases have been tested to demonstrate the validity and efficiency of the proposed approach, which requires very short computational times to obtain optimal solutions when energy saving or profit is to be maximised through retrofit.
This approach requires a very strict protocol and hence difficult to perform at field levels.
This candidate-centric approach requires a very strong brand and equally strong recruiting practices.
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CEO of Professional Science Editing for Scientists @ prosciediting.com