Seroprevalencia de la toxoplasmosis humana en Córdoba

Se realiza un estudio sobre seroprevalencia de la toxoplasmosis humana en Córdoba, mediante inmunofluorescencia indirecta y hemaglutinación indirecta. La muestra encuestada se compone de 443 sueros, 356 personas supuestamente sanas (estudiantes fundamentalmente) y 87, consideradas de “alto riesgo” (enfermos del Hospital “Reina Sofía”). La positividad obtenida para el total de la muestra ha sido del 43,79 % con IFI y 53,50 % para HAI. Con respecto al sexo, la prevalencia es superior en mujeres con un 54,36 % y 70,47 % con IFI y HAI, respectivamente, en varones el 38,43 % y 44,90 % para las mismas pruebas. En relación con la procedencia de la muestra, 31,lB % con IFI y 43,25 % para HAI sobre la población normal, en la de “alto riesgo” para ambas pruebas el 95,40 %. Entre ambas pruebas hay diferencias significativas a títulos bajos, no así en diluciones altas, Concluimos que la toxoplasmosis humana está presente y difundida en las poblaciones estudiadasA seroprevalency study of human toxoplasmosis was carried out in Córdoba, using indirect immunofluorescence and indirect haemoglutination. The sample of people interviewed was made up of 443 serums, 356 supposedly healthy people (mainly students) and 87, considered “high risk” (pafients from the “Reina Sofia” Hospital). The positiveness obtained for the total of the sample was 43,79 % with IFI and 53,59 % for HAI. As regards sex of the person tested, prevalence is higher in women, with 54,36 % and 70,47 % with IFI and HAI respectively, in men the scores were 38,43 % and 44,90 % for the same tests. As far as the origin of the sample was concerned, there were 31,lB % with IFI and 43,25 % for HAI of the nornal population, in the “high risk” sample, for both tests it was 9540 %. With both tests there are significative differences in low amounts, but not in high dilutions. We conclude that human toxoplasmosis is present and widespread in the studied population

Variability and evolution of the optical polarization of a sample of gamma-ray blazars

We present a polarization variability analysis of a sample of 26 $\gamma$-ray blazars monitored by the Steward Observatory between 2008 and 2018 in the optical band. We investigate the properties and long-term variability of their optical polarization, searching for differences between blazar types. We observe that BL Lac objects are typically less polarized and less variable than flat spectrum radio quasars (FSRQs). Moreover, BL Lacs display a distribution of their polarization angle typically oriented in a preferential direction, contrary to the rather random distribution of FSRQs. For the latter blazar type, as well as those sources showing a bright stellar emission, we take into account the depolarizing effect introduced by the broad line region and the host galaxy on the measured polarization degree. In this sample we also observe that BL Lacs present an uncorrelated evolution of the flux and the polarization. Contrary, FSRQs show a correlation before the depolarization correction, that is lost however after considering this effect. In addition, we study the behaviour of the polarization angle, searching for angle rotations in its long-term evolution. We derive that the FSRQs studied here show rotations more frequently than BL Lac objects by a factor $\sim$1.5. During these periods we also observe a systematic decrease of the polarization fraction, as well as a marginal flux increase, not significant however to connect rotations with optical flares. We interpret these results within the extended shock-in-jet scenario, able to explain the overall features observed here for the polarization of the blazar sample.Comment: Accepted for publication in MNRA

Using Large Language Models for Interpreting Autonomous Robots Behaviors

The deployment of autonomous robots in various domains has raised significant concerns about their trustworthiness and accountability. This study explores the potential of Large Language Models (LLMs) in analyzing ROS 2 logs generated by autonomous robots and proposes a framework for log analysis that categorizes log files into different aspects. The study evaluates the performance of three different language models in answering questions related to StartUp, Warning, and PDDL logs. The results suggest that GPT 4, a transformer-based model, outperforms other models, however, their verbosity is not enough to answer why or how questions for all kinds of actors involved in the interaction

Estudio del comportamiento mecánico de tuberías de material compuesto para el transporte de hidrocarburos por elementos finitos

Congreso de Métodos Numéricos en Ingeniería CMN2017Valencia, 3-5 julio, 2017International audienceRecientemente, diferentes tipos de tuberías de material compuesto se han empleado con éxito en los campos de petróleo y gas, debido a que sus propiedades mecánicas resultan muy atractivas, en especial su relación peso/resistencia y su resistencia a la corrosión [1]. Otras características como facilidad de instalación, alta durabilidad y facilidad de mantenimiento las hacen más deseables que las tuberías de acero. Diferentes estudios sobre las propiedades mecánicas y ensayos de laboratorio han sido llevados a cabo para su caracterización [2], [3]. En este trabajo se investiga la caracterización del comportamiento mecánico de la tubería compuesta Fiberspar [4, 5] por medio de análisis por elementos finitos (FEA), con el fin de estudiar la integridad estructural de tuberías compuestas para el transporte de petróleo. Se realizaron ensayos de laboratorio de acuerdo con la norma ASTM D2290 con el objetivo de determinar la resistencia a la tensión y comparar los resultados con el modelo numérico. Se utilizaron los criterios de fallo de Tsai-Wu y Tsai-Hill para la tubería trabajando a diferentes presiones, incluyendo la presión operacional, determinando valores para el fallo e identificando la respuesta mecánica en las capas críticas