María Eugenia Castellanos

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ETHNOPHARMACOLOGICAL RELEVANCE We introduce and explain the advantages of the Bayesian approach and exemplify the method with an analysis of the medicinal flora of Campania, Italy. The Bayesian approach is a new method, which allows to compare medicinal floras with the overall flora of a given area and to investigate over- and underused plant families. In(More)
We exploit Bayesian criteria for designing an M/M/c//r queueing system with spares. This problem arises in many applications of the so-called machine interference problem, like job-shop type systems, telecommunication traffic, semiconductor manufacturing and transport. We exemplify our approach by a problem from aeronautic maintenance, where the numbers of(More)
Gastrointestinal parasites have evolved with humans and colonize many asymptomatic subjects. We investigated the influence of microbial gastrointestinal colonization on the nutritional status of rural Amerindians (40 males and 61 females). Helicobacter pylori was detected by 13C-breath test, and intestinal parasites were detected in fecal specimens. Body(More)
ETHNOPHARMACOLOGICAL RELEVANCE "Nothing in biology makes sense except in the light of evolution" The historical legacy and relevance of ethnopharmacology in drug discovery is undisputed. Here we connect the parameters influencing the selection of plant derived medicines by human culture with the concept of evolution. AIM OF THE STUDY In the present(More)
Association studies consist in identifying the genetic variants which are related to a specific disease through the use of statistical multiple hypothesis testing or segregation analysis in pedigrees. This type of studies has been very successful in the case of Mendelian monogenic disorders while it has been less successful in identifying genetic variants(More)
Hierarchical models are increasingly used in many applications. Along with this increase use comes a desire to investigate whether the model is compatible with the observed data. Bayesian methods are well suited to eliminate the many (nuisance) parameters in these complicated models; in this paper we investigate Bayesian methods for model checking. Since we(More)
Sampling from conditional distributions is a problem often encountered in statistics when inferences are based on conditional distributions which are not of closed-form. Several Markov chain Monte Carlo (MCMC) algorithms to simulate from them are proposed. Potential problems are pointed out and some suitable modifications are suggested.Approximations based(More)
Robot programming by demonstration is a robot programming paradigm in which a human operator directly demonstrates the task to be performed. In this paper, we focus on programming by demonstration of compliant motion tasks, which are tasks that involve contacts between an object manipulated by the robot and the environment in which it operates. Critical(More)
OBJECTIVE To compare the clinical and microbiological effects of three protocols for nonsurgical periodontal therapy, including full-mouth scaling and root planing plus systemic antibiotics, on the treatment of chronic periodontitis patients. METHODS Twenty-nine patients diagnosed with moderate to severe chronic periodontitis, selected according to(More)