One of the most pervasive and significant challenges in materials science is the prediction of the equilibrium structure and properties of interfaces in multicomponent systems as processing variables ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

[Kory] has been writing genetic algorithms for a few months now. This in itself isn’t anything unique or exceptional, except for what he’s getting these genetic algorithms to do. [Kory] has been using ...

The Journal of the Operational Research Society, Vol. 49, No. 11 (Nov., 1998), pp. 1130-1145 (16 pages) We have developed a Genetic algorithm (GA) for the optimisation of maintenance overhaul ...

Scientists with UC San Diego's Jacobs School of Engineering and the Qualcomm Institute have developed a new gene prediction algorithm, called MINING-D, that could help researchers investigate the ...

A dramatically better computer tool for finding the genetic missteps that fuel cancer has been developed . Researchers are using the new algorithm to help identify the chromosomal rearrangements and ...

So far, it has not been possible to explain the causes of around half of all rare hereditary diseases. A Munich research team has developed an algorithm that predicts the effects of genetic mutations ...