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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 ...

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 ...

A new algorithm developed by researchers at Columbia University can analyze thousands of variants across the genome and estimate a person's risk of developing chronic kidney disease -- and it works in ...

There are many variations in genetic algorithm vocabulary. For example, the array that this article calls a chromosome is also called a genotype. The second parameter used by EO is the population size ...

Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. A global team of scientists has discovered how to make more accurate predictions of genetic mutations that ...

Much recent psychometric literature has focused on cognitive diagnosis models (CDMs), a promising class of instruments used to measure the strengths and weaknesses of examinees. This article ...

This is a preview. Log in through your library . Abstract This paper studies the behavior of the exchange rate in the Kareken-Wallace overlapping generations economy with two currencies in which ...

Often, when we think of getting a computer to complete a task, we contemplate creating complex algorithms that take in the relevant inputs and produce the desired behaviour. For some tasks, like ...