Detection of Natural Infection by Leishmania sp. in Bats (Chiroptera, Mammalia) that Inhabit the City of Corrientes, Argentina.

Leishmaniasis is a zoonotic disease of importance in Argentina. It is important to be acquainted with its possible natural hosts and reservoirs. Bats have several reservoir attributes, which means they could fulfill these roles. The aim of this work was to investigate the presence of Leishmania sp. in bats that inhabit the city of Corrientes. Bats were captured and identified. From the captured specimens, spleen samples were taken and Leishmania sp. detection techniques were applied, including both optical microscopy and PCR. It was possible to capture 95 bat specimens belonging to 10 species. Using cytological preparations, a prevalence of 1.29% was detected and using PCR a prevalence of 32% was found. Our results confirm the presence of natural infection by Leishmania sp. in bats of the city of Corrientes which reveals the possibility of these animal species fulfilling a reservoir role for this disease.

La leishmaniose est une zoonose importante en Argentine. La connaissance de ses réservoirs possibles est essentielle. Les chauves-souris ont plusieurs attributs pour remplir ce rôle. L'objectif de ce travail était d'étudier la présence de Leishmania sp. chez les chauves-souris qui habitent la ville de Corrientes. Des captures de chauves-souris ont été faites et celles-ci ont été identifiées. Des échantillons de rates ont été prélevés sur ces spécimens pour rechercher Leishmania sp. en utilisant la microscopie optique et la PCR. Il a été possible de capturer 95 spécimens de chauves-souris appartenant à dix espèces. En utilisant des préparations cytologiques, une prévalence de 1,29 % a été détectée et en utilisant la PCR, une prévalence de 32 % a été trouvée. Nos résultats confirment la présence d'une infection naturelle par Leishmania sp. chez les chauves-souris de la ville de Corrientes, ce qui révèle la possibilité que ces espèces animales jouent un rôle de réservoir pour cette maladie.

Sensor fault detection and isolation via high-gain observers: application to a double-pipe heat exchanger.

This paper deals with fault detection and isolation (FDI) in sensors applied to a concentric-pipe counter-flow heat exchanger. The proposed FDI is based on the analytical redundancy implementing nonlinear high-gain observers which are used to generate residuals when a sensor fault is presented (as software sensors). By evaluating the generated residual, it is possible to switch between the sensor and the observer when a failure is detected. Experiments in a heat exchanger pilot validate the effectiveness of the approach. The FDI technique is easy to implement allowing the industries to have an excellent alternative tool to keep their heat transfer process under supervision. The main contribution of this work is based on a dynamic model with heat transfer coefficients which depend on temperature and flow used to estimate the output temperatures of a heat exchanger. This model provides a satisfactory approximation of the states of the heat exchanger in order to allow its implementation in a FDI system used to perform supervision tasks.