A Federated System is a collection of independent, cooperative, possibly heterogeneous and autonomous computer systems (usually database systems) which allows sharing all or some of its data. A Service-oriented Architecture is an application architecture whose functionalities are defined as independent…

Este artículo reporta el trabajo de investigación realizado en base a datos extraídos de la Encuesta Anual realizada por la CESSI durante el año 2007 entre organizaciones dedicadas al desarrollo de Software en Argentina. Si bien la temática de mejora…

We describe the design, implementation and deployment of the multi-level agent-based system architecture developed for the SEWASIE project. The aim of the system is to help the user in querying heterogeneous data sources which are integrated by means of ontologies.…

A Federated System is a collection of independent, cooperative, possibly heterogeneous and autonomous computer systems (usually database systems) which allows sharing all or some of its data. A Service-Oriented Architecture is an application architecture whose functionalities are defined as independent…

El objetivo de este trabajo fue el de analizar el contenido de cafeína y ácido 5-cafeoilquínico (5-cqa) en bebidas tales como chimarrão, tererê y maté té. La determinación de estos compuestos se realizó por HPLC. Las bebidas a base de…

Issues related to maternal mortality have generated a lot of empirical and theoretical information. However, despite the amount of work published on the topic, maternal mortality continues to occur at high rates and solutions to the problem are still not…

Biofouling is the colonization of man-made substrata by sessile organisms. The aim of this paper is to evaluate the performance of two antifouling saturated copper coating. Bioassays were can-ied out at a harbor in Argentine (38°02'S-57°32'W). During six months, one…

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In this study we use cointegration methods to investigate the relationship between the variables of the Ohlson model (stock price, earnings per share and book value) with panel data. The cointegration tests were applied at individual and group level (by…

The k nearest neighbor (k-NN) classifier has been extensively used in Pattern Recognition because of its simplicity and its good performance. However, in large datasets applications, the exhaustive k-NN classifier becomes impractical. Therefore, many fast k-NN classifiers have been developed;…