Diagnostic and therapeutic considerations in idiopathic hypereosinophilia with warm autoimmune hemolytic anemia.

Hypereosinophilic syndrome (HES) encompasses numerous diverse conditions resulting in peripheral hypereosinophilia that cannot be explained by hypersensitivity, infection, or atopy and that is not associated with known systemic diseases with specific organ involvement. HES is often attributed to neoplastic or reactive causes, such as chronic eosinophilic leukemia, although a majority of cases remains unexplained and are considered idiopathic. Here, we review the current diagnosis and management of HES and present a unique case of profound hypereosinophilia associated with warm autoimmune hemolytic anemia requiring intensive management. This case clearly illustrates the limitations of current knowledge with respect to hypereosinophilia syndrome as well as the challenges associated with its classification and management

Knowledge Representation of Intelligent Public Services through a Semantic Model

Today citizens make intensive use of mobile communication technology, and they demand to public services providers for complex and sophisticated information. To meet these demands, the governments' services agencies must orchestrate a lot of information from various sources and formats, and deliver them in the data terminals that people commonly use: computers, net-books, tablets and smart-phones. To overcome these problems, we propose a deductible model for conceptual representation of the organizational units of the State and his services, based on ontologies designed under the Linked Open Data principles. This model allows automatic extraction of information through machines, that support governmental decision-making processes and giving to citizens a comprehensive access to find and make formalities through intelligent agent.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Knowledge Representation of Intelligent Public Services through a Semantic Model

Today citizens make intensive use of mobile communication technology, and they demand to public services providers for complex and sophisticated information. To meet these demands, the governments' services agencies must orchestrate a lot of information from various sources and formats, and deliver them in the data terminals that people commonly use: computers, net-books, tablets and smart-phones. To overcome these problems, we propose a deductible model for conceptual representation of the organizational units of the State and his services, based on ontologies designed under the Linked Open Data principles. This model allows automatic extraction of information through machines, that support governmental decision-making processes and giving to citizens a comprehensive access to find and make formalities through intelligent agent.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Enhancement of On-Site Interactions of Tunnelling Ultracold Atoms in Optical Potentials using Radio-Frequency Dressing

We show how it is possible to more than double the on-site interaction energy of neutral atoms in optical potentials by the technique of radio-frequency (rf) dressing, while maintaining interwell dynamics. We calculate Bose-Hubbard parameters for rf dressed optical lattices and arrays of rf dressed dipole traps. We show that decreasing the distance between wells, by the interpolation of wells confining different m_F states, increases the interaction energy more than decreasing the height of the classically forbidden region between existing wells. The schemes we propose have negligible Landau-Zener losses caused by atomic motion; this was a dominant effect in the first experimental demonstration of the modification of an optical potential by radio-frequency dressing.Comment: 5 pages, 2 figures, 6 subfigure

A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning

To solve multi-objective problems, multiple reward signals are often scalarized into a single value and further processed using established single-objective problem solving techniques. While the field of multi-objective optimization has made many advances in applying scalarization techniques to obtain good solution trade-offs, the utility of applying these techniques in the multi-objective multi-agent learning domain has not yet been thoroughly investigated. Agents learn the value of their decisions by linearly scalarizing their reward signals at the local level, while acceptable system wide behaviour results. However, the non-linear relationship between weighting parameters of the scalarization function and the learned policy makes the discovery of system wide trade-offs time consuming. Our first contribution is a thorough analysis of well known scalarization schemes within the multi-objective multi-agent reinforcement learning setup. The analysed approaches intelligently explore the weight-space in order to find a wider range of system trade-offs. In our second contribution, we propose a novel adaptive weight algorithm which interacts with the underlying local multi-objective solvers and allows for a better coverage of the Pareto front. Our third contribution is the experimental validation of our approach by learning bi-objective policies in self-organising smart camera networks. We note that our algorithm (i) explores the objective space faster on many problem instances, (ii) obtained solutions that exhibit a larger hypervolume, while (iii) acquiring a greater spread in the objective space

Gobierno Electrónico 3.0, Aplicaciones de la Web Semántica a la Administración Pública

Las demandas de los ciudadanos hacia los proveedores de los servicios públicos son cada vez más sofisticadas y complejas. En la actualidad, los ciudadanos ya no se conforman con la recepción de sólo los datos que cumplen con su requerimiento, sino que esperan recibir información enriquecida que les permitan analizar las diferentes alternativas antes de tomar una decisión. Para satisfacer estas demandas, las agencias de servicios de los gobiernos deben orquestar una gran cantidad de información de diversas fuentes y formatos, y presentarlas en las terminales de datos que usuarios suelen utilizar: computadoras, netbooks, teléfonos inteligentes, etc. Para lograr esta orquestación de los servicios públicos, los gobiernos necesitan una plataforma que proporcione accesibilidad, interoperabilidad y compatibilidad de los datos y servicios basados en la web. En este trabajo se presenta como proyecto un modelo de integración de servicios de gobierno electrónico en una base semántica, diseñado dentro de un proyecto de investigación de la Universidad Nacional de Misiones y la Universidad de Málaga, para aplicarlo en el ámbito del Gobierno Electrónico de la Provincia de Misiones.Sociedad Argentina de Informática e Investigación Operativ

Knowledge Representation of Intelligent Public Services through a Semantic Model

Today citizens make intensive use of mobile communication technology, and they demand to public services providers for complex and sophisticated information. To meet these demands, the governments' services agencies must orchestrate a lot of information from various sources and formats, and deliver them in the data terminals that people commonly use: computers, net-books, tablets and smart-phones. To overcome these problems, we propose a deductible model for conceptual representation of the organizational units of the State and his services, based on ontologies designed under the Linked Open Data principles. This model allows automatic extraction of information through machines, that support governmental decision-making processes and giving to citizens a comprehensive access to find and make formalities through intelligent agent.Sociedad Argentina de Informática e Investigación Operativa (SADIO

High-precision prompt-γ-ray spectral data from the reaction Pu 241 (nth, f)

In this paper we present results from the first high-precision prompt-γ-ray spectral measurements from the reaction Pu241(nth, f). Apart from one recent experiment, no data are reported in the literature for this fissioning system, which motivated a new dedicated experiment. We have measured prompt-fission γ rays with three cerium-doped LaBr3 (two 5.08cm×5.08 cm and one 7.62cm×7.62 cm) and one CeBr3 (5.08cm×5.08 cm) scintillation detectors, which all exhibit excellent timing and good energy resolution. The average γ-ray multiplicity was determined to be ν̄γ=(8.21±0.09) per fission, the average energy to be εγ=(0.78±0.01) MeV, and the total energy to be Eγ,tot=(6.41±0.06) MeV as the weighted average from all detectors. Since the results from all detectors are in excellent agreement, and the total released γ energy is modestly higher than the one in the present evaluated nuclear data files, we suspect that the underestimation of the prompt-γ heating in nuclear reactors is due to fast-neutron-induced fission on U238 or rather from fission induced by γ rays from neutron capture in the construction material.European Commision NeutAndalus FP7-PEOPLE-2012-CIGPrograma ERINDA 26949

Realidad aumentada para teléfonos inteligentes en las misiones jesuíticas guaraníes

La Realidad Aumentada (RA) es el término que se usa para definir una experiencia de visualización del mundo real, la que se complementa con elementos virtuales con el fin último de crear una realidad mixta en tiempo real. La RA puede considerarse una evolución tecnológica de la Realidad Virtual, ya que si bien comparten algunas características comunes como ser la inclusión de información y objetos gráficos en el campo visual del observador, la RA no reemplaza el mundo real por uno virtual, sino que basándose en el mundo real, lo potencia superponiendo información a los objetos reales que visualiza el observador. El observador nunca pierde el contacto con el mundo real sino que interactúa y aumenta su percepción con la información virtual que es superpuesta. Ronald Azuma dice que la realidad aumentada: a) combina elementos reales y virtuales, b) es interactiva en tiempo real, c) está registrada en 3D (Azuma, 2001). Puede inferirse en una definición resumida, que la RA es la incorporación de datos e información digital en un entorno real, por medio del reconocimiento de patrones que se realiza mediante un software (Barfield & Caudell, 2001), (Bimber & Raskar, 2005). Como una actividad de la Catedra de Gestion del Conocimiento del Departamento de Informática, la propuesta planteada como trabajo de investigación parte de un relevamiento de las 30 reducciones jesuíticas guaraníes que se asentaron en Argentina, Brasil y Paraguay, a los efectos de determinar los puntos de interés (PDI), georreferenciarlos, y describirlos. La Informacion relevada y curada se publicará en la enciclopedia universal Wikipedia y posteriormente será vinculada con una aplicación de realidad aumentada para teléfonos inteligentes.Eje: Innovación en Sistemas de SoftwareRed de Universidades con Carreras en Informática (RedUNCI