Capillaria spp. eggs in Patagonian archaeological sites: statistical analysis of morphometric data

Discriminant analysis was used to identify eggs of Capillaria spp. at specific level found in organic remains from an archaeological site in Patagonia, Argentina, dated of 6,540 ± 110 years before present. In order to distinguish eggshell morphology 149 eggs were measured and grouped into four arbitrary subsets. The analysis used on egg width and length discriminated them into different morphotypes (Wilks' lambda = 0.381, p < 0.05). The correlation analysis suggests that width was the most important variable to discriminate among the Capillaria spp. egg morphotypes (Pearson coefficient = 0.950, p < 0.05). The study of eggshell patterns, the relative frequency in the sample, and the morphometric data allowed us to correlate the four morphotypes with Capillaria species.

Visibilité et diffusion de la recherche qualitative en psychologie à partir des sites Internet : une étude préliminaire.

Les méthodes de recherche qualitative en psychologie connaissent une diffusion de plus en plus importante, soutenue notamment par le développement phénoménal des réseaux de l'Internet. Nos investigations mettent en lumière diverses catégories de sites liés à la recherche qualitative, pour la plupart issues de grandes institutions nord-américaines. Cependant, la présence d'autant d'informa- tions sur le Web pose la question de la crédibilité des sites disponibles et de leur visibilité : en effet, si une certaine qualité peut être attendue des sites émanant d'institutions officielles, en termes de qualité d'information et de facilité d'accès, en revanche, il s'avère plus difficile d'évaluer certaines pages se réclamant pourtant de la recherche scientifique. Dans cet article, nous présentons quelques sites et liens Internet susceptibles de séduire les chercheurs intéressés par les méthodes qualitatives en psychologie.

Virtual Library Services for a Virtual University : User-Oriented Virtual Sites in an Open Library

La llegada de las tecnologías de la información, y su uso cada vez mayor y generalizado que se está haciendo de ellas, ha permitido para que una nueva situación aparezca que, a su vez, ha originado - de hecho, que ha precipitado - una serie de cambios de gran importancia en todos los niveles, pero especialmente en los niveles sociales, económicos y culturales. Este nueva escena ha tenido una gran influencia en el entorno pedagógico. De hecho, la aparición de nuevos modelos educativos como resultado de este cambio ha estado sucediendo de una manera continuada e ininterrumpida durante la década pasada. Estos cambios recientes en los sistemas actuales de enseñanza y de aprendizaje han significado un aumento y un cambio en el tipo de demandas hechas desde las bibliotecas y los centros de documentación.

Current epidemiological trends for Chagas disease in Latin America and future challenges in epidemiology, surveillance and health policy

Chagas disease, named after Carlos Chagas, who first described it in 1909, exists only on the American Continent. It is caused by a parasite, Trypanosoma cruzi, which is transmitted to humans by blood-sucking triatomine bugs and via blood transfusion. Chagas disease has two successive phases: acute and chronic. The acute phase lasts six-eight weeks. Several years after entering the chronic phase, 20-35% of infected individuals, depending on the geographical area, will develop irreversible lesions of the autonomous nervous system in the heart, oesophagus and colon, and of the peripheral nervous system. Data on the prevalence and distribution of Chagas disease improved in quality during the 1980s as a result of the demographically representative cross-sectional studies in countries where accurate information was not previously available. A group of experts met in Brasilia in 1979 and devised standard protocols to carry out countrywide prevalence studies on human T. cruzi infection and triatomine house infestation. Thanks to a coordinated multi-country programme in the Southern Cone countries, the transmission of Chagas disease by vectors and via blood transfusion was interrupted in Uruguay in 1997, in Chile in 1999 and in Brazil in 2006; thus, the incidence of new infections by T. cruzi across the South American continent has decreased by 70%. Similar multi-country initiatives have been launched in the Andean countries and in Central America and rapid progress has been reported towards the goal of interrupting the transmission of Chagas disease, as requested by a 1998 Resolution of the World Health Assembly. The cost-benefit analysis of investment in the vector control programme in Brazil indicates that there are savings of US$17 in medical care and disabilities for each dollar spent on prevention, showing that the programme is a health investment with very high return. Many well-known research institutions in Latin America were key elements of a worldwide network of laboratories that carried out basic and applied research supporting the planning and evaluation of national Chagas disease control programmes. The present article reviews the current epidemiological trends for Chagas disease in Latin America and the future challenges in terms of epidemiology, surveillance and health policy.

Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking

This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV

Autonomous underwater vehicle control using reinforcement learning policy search methods

Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task