Mutant derivatives of DsRed have been generated to overcome these problems, these include mCherry [15], mKate [16], mPlum [17], tdKatushka [16], tdTomato [15] and Turbo-635 [16].
For instance, Huang [17] put forward a mean-variance model for optimal allocation of capital, and a genetic algorithm on the basis of fuzzy simulation was generated to address this optimization problem.
The paired-end reads were generated to resolve the assembly problem caused by repetitive regions.
Multiple grammar classifiers were generated to solve a 4‐way problem of assigning a helix pair to one of the four most populous classes.
Inspired from our observations in Milad hospital, random test problems are generated to evaluate the performance of the SA algorithm.
In this methodology, graphical solutions to the separation problem are generated to design a cost-optimal membrane system (process configuration, operating conditions) that satisfy CO2 capture ratio and product purity requirements.
According to this conception, force is understood in terms of the activity of substances, an activity that Kant then uses to explain how the motions of bodies are generated, to solve the mind-body problem, and to account for both the possibility of other, actually existing worlds and the three-dimensionality of space.
A number of test problems have been generated to evaluate the performance of the proposed algorithm (non-dominated sorting genetic algorithm II (NSGA-II)) in comparison with ɛ-Constraint.
This reduction then allows many solutions to be generated for problems of engineering interest; such solutions are also presented in this chapter.
On the other hand, in the case of Hokkaido, no other interferograms could be generated due to the burst overlapping problem even though there were several ScanSAR observations in the corresponding area.
