Draft programme of work of the Working Group on international classifications of the Statistical Conference of the Americas of the Economic Commission for Latin America and the Caribbean

Incluye Bibliografía

Recent developments in relation to the proposal for securing the international recognition of the Caribbean Sea as a special area in the context of sustainable development

Includes bibliography

POPIN: a catalyst for a better international exchange of population information

Analiza las actividades del POPIN, cuyo objetivo es ayudar al establecimiento de nuevos servicios de información y coordinar el intercambio entre los existentes, compatibilizando las tareas para mejorar el flujo de información sobre población y la utilización de las fuentes disponibles. Incluye las recomendaciones de la Cuarta Reunión del POPIN realizada en Beijing entre el 22 y el 25 de octubre de 1986; y una lista descriptiva de sus publicaciones.

Topological K-classification of finitely determined map germs

We consider smooth finitely C 0-K-determined map germs f: (ℝn, 0) → (ℝp, 0) and we look at the classification under C 0-K-equivalence. The main tool is the homotopy type of the link, which is obtained by intersecting the image of f with a small enough sphere centered at the origin. When f -1(0) = {0}, the link is a smooth map between spheres and f is C 0-K-equivalent to the cone of its link. When f -1(0) ≠ {0}, we consider a link diagram, which contains some extra information, but again f is C 0-K-equivalent to the generalized cone. As a consequence, we deduce some known results due to Nishimura (for n = p) or the first named author (for n < p). We also prove some new results of the same nature. © 2012 Springer Science+Business Media Dordrecht.

Automatic segmentation and classification of human intestinal parasites from microscopy images

Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that may range from moderate to high. The problem has been addressed via computational image analysis, but only for a few species and images free of fecal impurities. In routine, fecal impurities are a real challenge for automatic image analysis. We have circumvented this problem by a method that can segment and classify, from bright field microscopy images with fecal impurities, the 15 most common species of protozoan cysts, helminth eggs, and larvae in Brazil. Our approach exploits ellipse matching and image foresting transform for image segmentation, multiple object descriptors and their optimum combination by genetic programming for object representation, and the optimum-path forest classifier for object recognition. The results indicate that our method is a promising approach toward the fully automation of the enteroparasitosis diagnosis. © 2012 IEEE.

Informe de la Reunión Regional de América Latina y el Caribe Preparatoria del Año Internacional de la Familia = Report of the Latin American and Caribbean Regional Meeting Preparatory to the International Year of the Family

Incluye Bibliografía

Report of the Regional Intergovernmental Conference on Ageing: Towards a Regional Strategy for the Implementation in Latin America and the Caribbean of the Madrid International Plan of Action on Ageing

Spanish version available at the Library