We describe a system that maps the interaction between two people to control a genetic process for generating music. We start with a population of melodies encoded genetically. This population is allowed to breed every biological cycle creating new members of the population based upon the semantics of the spatial relationship between two people moving in a large, physical space. A pre-specified...

In multimodal biometric system, the effective fusion method is necessary for combining information from various modality systems. In this study a new approach to overcome the limitations by using multiple pieces of evidence of the same identity: iris and fingerprint, by combining ELM and Genetic Algorithm. According to ELM theory: “The hidden node / neuron parameters are not only independent of...

Spatial Bayesian clustering algorithms can provide correct inference of population genetic structure when applied to populations for which continuous variation of allele frequencies is disrupted by small discontinuities. Here we review works which used Bayesian clustering algorithms for studying the Scandinavian brown bears, with particular attention to a recent method based on hidden Markov ra...

The purpose of this article is to briefly review but also to highlight the rationale, motivation, and methods in the process of identifying patients of all ages with familial hypercholesterolemia (FH), an often hidden but very important genetic disorder. Since the initiation of population screening for FH in 1994 in the Netherlands, a vast amount of experience has been gathered, addressing almo...

Data indicate that substance abuse problems are common in the elderly but are largely ignored. The elderly cohort of abusers is divided into early and late onset groups. Abuse moderating factors include cohort effects, socioeconomic status, and frail health, while exacerbating factors include discretionary income, status as a hidden population, and caregiver complicity. Physiological and psycho...

Case-control studies of genetic factors are prone to a special form of confounding called population stratification, whenever the existence of one or more subpopulations may lead to a false association, be it positive or negative. We quantify both the bias (in terms of confounding risk ratio) and the probability of false association (type I error) in the most unfavorable situation in which only...