Phylogenetics Based on Partial ORF2 of Triatoma Virus in Triatomines Collected over a Decade from Domiciliary Habitats

The only virus sequenced and studied in triatomines is the Triatoma virus, from the Dicistroviridae family, which causes delayed development, reduced oviposition, and premature death of infected insects. With the goal of expanding the sequences already obtained in previous years and verifying if any changes occurred in their genomic sequences, 68 samples of triatomines from several provinces of Argentina were analyzed. Sixteen positive samples were obtained by Reverse Transcription (RT)-polymerase chain reaction using the VP3-VP1 subregion of open reading frame-2 as a diagnostic method; after sequencing, 11 samples were obtained from Triatoma infestans. These new sequences showed no significant differences in the analyzed regions, which were not grouped by species or habitat or geographical distribution. There were no differences when compared with the sequences found during 2002-2012, all obtained from the wild.We conclude that despite being an RNA virus, the different sequences show high homology.Centro de Estudios Parasitológicos y de VectoresFacultad de Ciencias Veterinaria

Implementation of a semantic document search engine on a document management platform with support for digital signature

La búsqueda semántica de documentos es un tema ampliamente estudiado en el ámbito académico. Sin embargo, la implementación de estas tecnologías en la industria del software todavía sigue siendo un desafío. Mucho de ello se debe a que las tecnologías semánticas recién ahora están lo suficientemente maduras para lograr implementaciones escalables. El objetivo del presente trabajo es mostrar la incorporación de tecnologías semánticas para realizar búsquedas de documentos en la plataforma Signar de la empresa Lyris IT S.A.S. Este trabajo muestra cómo investigaciones que se llevan a cabo en una Universidad aportan valor agregado a empresas para potenciar sus productos y hacerlos más competitivos en el mercado internacional, incorporando tecnologías innovadoras.The semantic search of documents is a subject widely studied in the academic field. However, the implementation of these technologies in the software industry still remains a challenge. Much of this is because semantic technologies are only now mature enough for reliable implementations. The objective of this work is to show the incorporation of semantic technologies to search for documents in the Signar platform of the company Lyris IT S.A.S. This work shows how research carried out at a University adds value to companies to enhance their products and make them more competitive in the international market, incorporating innovative technologies.Sociedad Argentina de Informática e Investigación Operativ

La explicación en las ciencias naturales y en su enseñanza: Aproximaciones epistemológica y didáctica

En este trabajo nos proponemos “explicar la explicación” en ciencias naturales desde dos miradas metateóricas, provistas por la epistemología y por la didáctica de las ciencias naturales respectivamente. El estudio de la explicación desde la epistemología permite identificar, a partir de diversos metamodelos propuestos a lo largo del siglo XX, las características de la “buena” explicación científica erudita y escolar. El estudio de la explicación desde la didáctica arroja luz sobre la labor que lleva adelante el profesorado de ciencias naturales en el aula cuando expone para co-construir textos que expliquen

Implementation of a semantic document search engine on a document management platform with support for digital signature

La búsqueda semántica de documentos es un tema ampliamente estudiado en el ámbito académico. Sin embargo, la implementación de estas tecnologías en la industria del software todavía sigue siendo un desafío. Mucho de ello se debe a que las tecnologías semánticas recién ahora están lo suficientemente maduras para lograr implementaciones escalables. El objetivo del presente trabajo es mostrar la incorporación de tecnologías semánticas para realizar búsquedas de documentos en la plataforma Signar de la empresa Lyris IT S.A.S. Este trabajo muestra cómo investigaciones que se llevan a cabo en una Universidad aportan valor agregado a empresas para potenciar sus productos y hacerlos más competitivos en el mercado internacional, incorporando tecnologías innovadoras.The semantic search of documents is a subject widely studied in the academic field. However, the implementation of these technologies in the software industry still remains a challenge. Much of this is because semantic technologies are only now mature enough for reliable implementations. The objective of this work is to show the incorporation of semantic technologies to search for documents in the Signar platform of the company Lyris IT S.A.S. This work shows how research carried out at a University adds value to companies to enhance their products and make them more competitive in the international market, incorporating innovative technologies.Sociedad Argentina de Informática e Investigación Operativ

Módulo basado en tecnologías semánticas para realizar búsquedas de documentos en la plataforma Signar

El objetivo del presente trabajo es mostrar la incorporación de tecnologías semánticas para realizar búsquedas de documentos. En este caso, esa búsqueda de documentos es realizada en la plataforma Signar de la empresa Lyris IT S.A.S. Este trabajo muestra cómo investigaciones que se llevan a cabo en una Universidad aportan valor agregado a empresas para potenciar sus productos y hacerlos más competitivos en el mercado internacional, incorporando tecnologías innovadoras.Sociedad Argentina de Informática e Investigación Operativ

Modelling the potential geographic distribution of triatomines infected by <i>Triatoma virus</i> in the southern cone of South America

Background: Triatoma virus (TrV) is the only entomopathogenous virus identified in triatomines. We estimated the potential geographic distribution of triatomine species naturally infected by TrV, using remotely sensed and meteorological environmental variables, to predict new potential areas where triatomines infected with TrV may be found. Methods: Detection of TrV infection in samples was performed with RT-PCR. Ecological niche models (ENM) were constructed using the MaxEnt software. We used 42 environmental variables derived from remotely sensed imagery (AVHRR) and 19 bioclimatic variables (Bioclim). The MaxEnt Jackknife procedure was used to minimize the number of environmental variables that showed an influence on final models. The goodness of fit of the model predictions was evaluated by the mean area under the curve (AUC). Results: We obtained 37 samples of 7 species of triatomines naturally infected with TrV. Of the TrV positive samples, 32% were from sylvatic habitat, 46% came from peridomicile habitats and 22% from domicile habitats. Five of the seven infected species were found only in the sylvatic habitat, one species only in the domicile and only Triatoma infestans was found in the three habitats. The MaxEnt model estimated with the Bioclim dataset identified five environmental variables as best predictors: temperature annual range, mean diurnal range, mean temperature of coldest quarter, temperature seasonality and annual mean temperature. The model using the AVHRR dataset identified six environmental variables: minimum Land Surface Temperature (LST), minimum Middle Infrared Radiation (MIR), LST annual amplitude, MIR annual amplitude annual, LST variance and MIR variance. The potential geographic distribution of triatomine species infected by TrV coincides with the Chaco and the Monte ecoregions either modelled by AVHRR or Bioclim environmental datasets. Conclusions: Our results show that the conditions of the Dry Chaco ecoregion in Argentina are favourable for the infection of triatomine species with TrV, and open the possibility of its use as a potential agent for the biological control of peridomestic and/or sylvatic triatomine species. Results identify areas of potential occurrence that should be verified in the field.Facultad de Ciencias VeterinariasCentro de Estudios Parasitológicos y de Vectore

Modelling the potential geographic distribution of triatomines infected by <i>Triatoma virus</i> in the southern cone of South America

Background: Triatoma virus (TrV) is the only entomopathogenous virus identified in triatomines. We estimated the potential geographic distribution of triatomine species naturally infected by TrV, using remotely sensed and meteorological environmental variables, to predict new potential areas where triatomines infected with TrV may be found. Methods: Detection of TrV infection in samples was performed with RT-PCR. Ecological niche models (ENM) were constructed using the MaxEnt software. We used 42 environmental variables derived from remotely sensed imagery (AVHRR) and 19 bioclimatic variables (Bioclim). The MaxEnt Jackknife procedure was used to minimize the number of environmental variables that showed an influence on final models. The goodness of fit of the model predictions was evaluated by the mean area under the curve (AUC). Results: We obtained 37 samples of 7 species of triatomines naturally infected with TrV. Of the TrV positive samples, 32% were from sylvatic habitat, 46% came from peridomicile habitats and 22% from domicile habitats. Five of the seven infected species were found only in the sylvatic habitat, one species only in the domicile and only Triatoma infestans was found in the three habitats. The MaxEnt model estimated with the Bioclim dataset identified five environmental variables as best predictors: temperature annual range, mean diurnal range, mean temperature of coldest quarter, temperature seasonality and annual mean temperature. The model using the AVHRR dataset identified six environmental variables: minimum Land Surface Temperature (LST), minimum Middle Infrared Radiation (MIR), LST annual amplitude, MIR annual amplitude annual, LST variance and MIR variance. The potential geographic distribution of triatomine species infected by TrV coincides with the Chaco and the Monte ecoregions either modelled by AVHRR or Bioclim environmental datasets. Conclusions: Our results show that the conditions of the Dry Chaco ecoregion in Argentina are favourable for the infection of triatomine species with TrV, and open the possibility of its use as a potential agent for the biological control of peridomestic and/or sylvatic triatomine species. Results identify areas of potential occurrence that should be verified in the field.Facultad de Ciencias VeterinariasCentro de Estudios Parasitológicos y de Vectore

Caracterización de la exposición a la penetración de agua atmosférica en fachadas mediante el uso de datos climáticos AEMET OpenData.

La penetración de agua atmosférica en las fachadas de los edificios genera problemas en las construcciones y a los residentes de estos. Con propósito de evitar estos problemas y minimizar el riesgo que conlleva la exposición ambiental, en España se define un grado de impermeabilidad mínimo requerido para las fachadas en el Código Técnico de la edificación (Documento Básico HS1), a partir de dos parámetros climatológicos. Estos parámetros son la pluviometría media anual y la velocidad básica del viento de cada emplazamiento.Varios estudios en comunidades autónomas españolas y en otros países han demostrado que es necesaria una caracterización más exhaustiva de la exposición ambiental a la que están sometidas las fachadas para determinar con mayor exactitud y precisión el grado de impermeabilidad requerido en las solicitaciones existentes. En este trabajo se calcularán los índices de exposición escalares y direccionales en cada emplazamiento analizado, a partir de datos climáticos diarios disponibles en formato Json en la base de datos AEMET OpenData. Con estos índices se elaborarán mapas de exposición de las comunidades autónomas de Cataluña, Islas Canarias y Galicia, incorporando información relativa a las orientaciones de solicitación dominantes y se determinarán valores de exposición y de intensidad de precipitación y viento asociados a distintos periodos de retorno. Los resultados se compararán con los establecidos por el Código Técnico de la Edificación (DB-HS1) para los mismos emplazamientos. Las comparaciones mostrarán la invalidez del método de cálculo propuesto por el CTE, frente a los procedimientos de cálculo aceptados y comprobados internacionalmente para determinar la exposición a la lluvia batiente (Driving Rain Index o daDRI) y la presión eólica simultánea a la lluvia batiente (Driving Rain Wind Pressure o DRWP), ambos parámetros clave para caracterizar el riesgo de penetración de agua de lluvia en fachadas.<br /

An Online Tree-Based Approach for Mining Non-Stationary High-Speed Data Streams

 This paper presents a new learning algorithm for inducing decision trees from data streams. In these domains, large amounts of data are constantly arriving over time, possibly at high speed. The proposed algorithm uses a top-down induction method for building trees, splitting leaf nodes recursively, until none of them can be expanded. The new algorithm combines two split methods in the tree induction. The first method is able to guarantee, with statistical significance, that each split chosen would be the same as that chosen using infinite examples. By doing so, it aims at ensuring that the tree induced online is close to the optimal model. However, this split method often needs too many examples to make a decision about the best split, which delays the accuracy improvement of the online predictive learning model. Therefore, the second method is used to split nodes more quickly, speeding up the tree growth. The second split method is based on the observation that larger trees are able to store more information about the training examples and to represent more complex concepts. The first split method is also used to correct splits previously suggested by the second one, when it has sufficient evidence. Finally, an additional procedure rebuilds the tree model according to the suggestions made with an adequate level of statistical significance. The proposed algorithm is empirically compared with several well-known induction algorithms for learning decision trees from data streams. In the tests it is possible to observe that the proposed algorithm is more competitive in terms of accuracy and model size using various synthetic and real world datasets.