Separation method for Pu, Am and Sr in large air filter sample sets

On bD-Sets and Associated Separation Axioms

An Effective Filter for IBD Detection in Large Data Sets

Identity by descent (IBD) inference is the task of computationally detecting genomic segments that are shared between individuals by means of common familial descent. Accurate IBD detection plays an important role in various genomic studies, ranging from mapping disease genes to exploring ancient population histories. The majority of recent work in the field has focused on improving the accurac...

A hybrid filter-based feature selection method via hesitant fuzzy and rough sets concepts

High dimensional microarray datasets are difficult to classify since they have many features with small number ofinstances and imbalanced distribution of classes. This paper proposes a filter-based feature selection method to improvethe classification performance of microarray datasets by selecting the significant features. Combining the concepts ofrough sets, weighted rough set, fuzzy rough se...

Large Sample Asymptotics for the Ensemble Kalman Filter

The ensemble Kalman lter (EnKF) has been proposed as a Monte Carlo, derivative free, alternative to the extended Kalman lter, and is now widely used in sequential data assimilation, where state vectors of huge dimension (e.g. resulting from the discretization of pressure and velocity elds over a continent, as considered in meteorology) should be estimated from noisy measurements (e.g. collected...

Electronic structure of Pu and Am metals by self-consistent relativistic GW method

We present the results of calculations for Pu and Am performed using an implementation of a self-consistent fully relativistic GW method. The key feature of our scheme is to evaluate polarizability and self-energy in real space and Matsubara’s time. We compare our GW results with the calculations using local density and quasiparticle approximations and also with scalar-relativistic calculations...