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The recent cloning of the H3 receptor, more than 15 years later, has allowed to start molecular studies that led to important findings for optimization of drug design.
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These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.
Implications of these findings for the possible optimization of SCC design and operation are discussed.
The findings provide valuable information for optimization of recombinant protein expression.
The findings would be useful for optimization of experimental parameters for shape-controlled synthesis of other metallic nanoparticles (e.g., Au, Cu, Pt, and Pd) with desirable functional properties.
The evolutionary programming algorithm (EPA) has been considered as a useful technique for finding global optimization solutions for certain complicated functions in recent years.
The findings of this study provide guidelines for optimization of high-performance graphene/CNT hybrid fibers.
The increased demand on throughput and precision of PVD sputter processes promote the development of modeling tools describing relevant process mechanisms in detail and allowing for finding efficient optimization strategies.
In contrast to earlier findings for the ldh of L. lactis in Synechocystis[ 14], codon optimization significantly increased expression levels for the B. subtilis ldh.
Once the optimization step converges for this PSAM, the residues of Z are then used for the next seed finding and optimization iteration.
In recent years, immune genetic algorithm (IGA) is gaining popularity for finding the optimal solution for non-linear optimization problems in many engineering applications.
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CEO of Professional Science Editing for Scientists @ prosciediting.com