We conducted a cross-sectional seroepidemiological study in 2012-2013 to determine the seroprevalence of varicella-zoster virus (VZV) in adolescents and adults living in Korea, where varicella vaccination has been recommended universally at age 12-15 months since 2005. Residual serum samples were collected from 1196 healthy adults and adolescents aged ⩾10 years between November 2012 and March 2...

An algorithm for learning an overcomplete dictionary using a Cauchy mixture model for sparse decomposition of an underdetermined mixing system is introduced. The mixture density function is derived from a ratio sample of the observed mixture signals where 1) there are at least two but not necessarily more mixture signals observed, 2) the source signals are statistically independent and 3) the s...

Our work is part of the heterogeneous data integration, with the definition of a structural and semantic mediation model. Our aim is to propose architecture for the heterogeneous sources metadata mediation, represented by XML, RDF and RuleML models, providing to the user the metadata transparency. This, by including data structures, of natures fundamentally different, and allowing the decomposi...

A new Joining and model Checking scheme (JaCk-SAT) for parallel resolution of the SATisfiability problem is presented. The main goal of this methodology is to cut the variable-set in two subsets of about equal size. In contrast with recent propositions [12,16] for sequential resolution only, we do not use sophisticated hypergraph decomposition techniques such as Tree Decomposition that are very...

The purpose of this paper is to show that the problem of trust relates to all three levels of financial engagement by a retail investor. (1) Engagement with the adviser who advises on financial products. (2) Engagement with the financial institutions that produce the financial products. (3) Engagement with the stock markets in which the financial products are invested. It is proposed that these...

This paper considers estimation of moving average (MA) models with non-Gaussian errors. Information in higher order cumulants allows identification of the parameters without imposing invertibility. By allowing for an unbounded parameter space, the generalized method of moments estimator of the MA(1) model has classical (root-T and asymptotic normal) properties when the moving average root is in...

In this paper, we propose upper and lower error bounding techniques for reduced order modelling applied to the computational homogenisation of random composites. The upper bound relies on the construction of a reduced model for the stress field. Upon ensuring that the reduced stress satisfies the equilibrium in the finite element sense, the desired bounding property is obtained. The lower bound...