Suchergebnisse

Este trabajo muestra un estudio electroquímico de recubrimientos SiO2 TiO2 ZrO2 obtenidos por el método sol-gel, sinterizados vía plasma y vía convencional. Los recubrimientos se conformaron a partir de Si(OC2H5)4, Ti(OBu)4 y Zr(OC3H7)4, se depositaron sobre sustratos de acero ANSI/304 mediante dip-coating en monocapa y bicapa. El proceso de densificado vía plasma se realizó a temperaturas del sustrato de 250 ºC, 300 ºC y 330 ºC y el convencional a 400 ºC y a una velocidad de calentamiento de 2 ºC/min. El comportamiento anticorrosivo se estudió mediante las técnicas de espectroscopía de impedancia electroquímica (EIS) y Tafel. Se observó que el proceso de sinterización vía plasma, mejora la resistencia a la corrosión con respecto al método convencional.Palabras Clave: sol-gel; corrosión; plasma; EIS;Tafel Abstract This work shows a comparative electrochemical study among the anticorrosive properties of coatings SiO2 TiO2 ZrO2 obtained by the method sol-gel and plasma sintering process and conventional. The coatings conformed to starting from Si(OC2 H5 )4 , Ti(OBu)4 and Zr(OC3 H7 )4 . These were deposited on steel substrate 304 by means of dip-coating in mono-layer and bi-layer. The plasma sintering process was carried out to temperatures of the substrate of 250 ºC, 300 ºC and 330 ºC and the conventional to 400 ºC and a speed of heating of 2 ºC/min. the anticorrosive behavior was studied by means of the techniques of electrochemical impedance spectroscopy (EIS) and Tafel. It was observed that the plasma sintering process, it improves the resistance to the corrosive attack to in regard to the conventional method.Keywords: sol-gel, corrosion, plasma, EIS, Tafel

ABSTRACTPurpose/ObjectivesThe healthcare workforce is challenged with preparing for the increasing number of older persons and complexities of their healthcare needs. Fellowship trained geriatric dentists are charged with the task of addressing the dental needs of this vastly growing cohort.The purpose of this study is to formulate a set of competencies for Geriatric Dental Fellowship Training Programs.MethodsThe Delphi technique—a series of three rounds of anonymous questionnaires to obtain the opinions of experts without bringing them together.ResultsIn Round 1, we proposed 45 competencies based on findings in previous literature. In Round 2, there were 19 respondents whose edits narrowed our list to 39 competencies proposed by the participants. In Round 3, based on group consensus we formulated a final list of 42 competencies.ConclusionUtilizing the Delphi process, a panel of geriatric dental experts identified a set of core competencies for curriculums in dental fellowship programs.

National audience ; Large volumes of RDF data collections are being created, published and used lately in various contexts, from scientific data to domain ontologies and to open government data, in particular in the context of the Linked Data movement. Managing such large volumes of RDF data is challenging due to the sheer size and the heterogeneity. To tackle the size challenge, a single isolated machine is not an efficient solution anymore. The MapReduce paradigm is a promising direction providing scalability and massively parallel processing of large-volume data. We present CliqueSquare, an efficient RDF data management platform based on Hadoop, an open source MapReduce implementation, and its file system, Hadoop Distributed File System (HDFS). CliqueSquare relies on a novel RDF data partitioning scheme enabling queries to be evaluated efficiently, by minimizing both the number of MapReduce jobs and the data transfer between nodes during query execution. We present preliminary experiments comparing our system against HadoopRDF, the state-of-the-art Hadoop-based RDF platform. The results demonstrate the advantages of CliqueSquare not only in terms of query response times, but also in terms of network traffic. ; De grands volumes de données RDF sont créés, publiés et utilisés dans de nombreux contextes, allant des données scientifiques aux ontologies de domaine, en passant par les données ouvertes notamment avec l'essor des données liées. Gérer de telles données RDF est un challenge de par leur volume et leur hétérogénéité. En particulier, les solutions centralisées ne font plus face à la masse des données. Le paradigme MapReduce, offrant des traitements massivement parallèles à fort potentiel de passage à l'échelle, semble une voie prometteuse pour manipuler ces nouveaux ordres de grandeur de données. Dans cet article, nous présentons CliqueSquare, une plateforme efficace de gestion de données RDF fondée sur Hadoop, une implémentation open-source de MapReduce, et son système de fichiers, Hadoop Distributed ...

National audience ; Large volumes of RDF data collections are being created, published and used lately in various contexts, from scientific data to domain ontologies and to open government data, in particular in the context of the Linked Data movement. Managing such large volumes of RDF data is challenging due to the sheer size and the heterogeneity. To tackle the size challenge, a single isolated machine is not an efficient solution anymore. The MapReduce paradigm is a promising direction providing scalability and massively parallel processing of large-volume data. We present CliqueSquare, an efficient RDF data management platform based on Hadoop, an open source MapReduce implementation, and its file system, Hadoop Distributed File System (HDFS). CliqueSquare relies on a novel RDF data partitioning scheme enabling queries to be evaluated efficiently, by minimizing both the number of MapReduce jobs and the data transfer between nodes during query execution. We present preliminary experiments comparing our system against HadoopRDF, the state-of-the-art Hadoop-based RDF platform. The results demonstrate the advantages of CliqueSquare not only in terms of query response times, but also in terms of network traffic. ; De grands volumes de données RDF sont créés, publiés et utilisés dans de nombreux contextes, allant des données scientifiques aux ontologies de domaine, en passant par les données ouvertes notamment avec l'essor des données liées. Gérer de telles données RDF est un challenge de par leur volume et leur hétérogénéité. En particulier, les solutions centralisées ne font plus face à la masse des données. Le paradigme MapReduce, offrant des traitements massivement parallèles à fort potentiel de passage à l'échelle, semble une voie prometteuse pour manipuler ces nouveaux ordres de grandeur de données. Dans cet article, nous présentons CliqueSquare, une plateforme efficace de gestion de données RDF fondée sur Hadoop, une implémentation open-source de MapReduce, et son système de fichiers, Hadoop Distributed ...

National audience ; Large volumes of RDF data collections are being created, published and used lately in various contexts, from scientific data to domain ontologies and to open government data, in particular in the context of the Linked Data movement. Managing such large volumes of RDF data is challenging due to the sheer size and the heterogeneity. To tackle the size challenge, a single isolated machine is not an efficient solution anymore. The MapReduce paradigm is a promising direction providing scalability and massively parallel processing of large-volume data. We present CliqueSquare, an efficient RDF data management platform based on Hadoop, an open source MapReduce implementation, and its file system, Hadoop Distributed File System (HDFS). CliqueSquare relies on a novel RDF data partitioning scheme enabling queries to be evaluated efficiently, by minimizing both the number of MapReduce jobs and the data transfer between nodes during query execution. We present preliminary experiments comparing our system against HadoopRDF, the state-of-the-art Hadoop-based RDF platform. The results demonstrate the advantages of CliqueSquare not only in terms of query response times, but also in terms of network traffic. ; De grands volumes de données RDF sont créés, publiés et utilisés dans de nombreux contextes, allant des données scientifiques aux ontologies de domaine, en passant par les données ouvertes notamment avec l'essor des données liées. Gérer de telles données RDF est un challenge de par leur volume et leur hétérogénéité. En particulier, les solutions centralisées ne font plus face à la masse des données. Le paradigme MapReduce, offrant des traitements massivement parallèles à fort potentiel de passage à l'échelle, semble une voie prometteuse pour manipuler ces nouveaux ordres de grandeur de données. Dans cet article, nous présentons CliqueSquare, une plateforme efficace de gestion de données RDF fondée sur Hadoop, une implémentation open-source de MapReduce, et son système de fichiers, Hadoop Distributed ...

National audience ; Large volumes of RDF data collections are being created, published and used lately in various contexts, from scientific data to domain ontologies and to open government data, in particular in the context of the Linked Data movement. Managing such large volumes of RDF data is challenging due to the sheer size and the heterogeneity. To tackle the size challenge, a single isolated machine is not an efficient solution anymore. The MapReduce paradigm is a promising direction providing scalability and massively parallel processing of large-volume data. We present CliqueSquare, an efficient RDF data management platform based on Hadoop, an open source MapReduce implementation, and its file system, Hadoop Distributed File System (HDFS). CliqueSquare relies on a novel RDF data partitioning scheme enabling queries to be evaluated efficiently, by minimizing both the number of MapReduce jobs and the data transfer between nodes during query execution. We present preliminary experiments comparing our system against HadoopRDF, the state-of-the-art Hadoop-based RDF platform. The results demonstrate the advantages of CliqueSquare not only in terms of query response times, but also in terms of network traffic. ; De grands volumes de données RDF sont créés, publiés et utilisés dans de nombreux contextes, allant des données scientifiques aux ontologies de domaine, en passant par les données ouvertes notamment avec l'essor des données liées. Gérer de telles données RDF est un challenge de par leur volume et leur hétérogénéité. En particulier, les solutions centralisées ne font plus face à la masse des données. Le paradigme MapReduce, offrant des traitements massivement parallèles à fort potentiel de passage à l'échelle, semble une voie prometteuse pour manipuler ces nouveaux ordres de grandeur de données. Dans cet article, nous présentons CliqueSquare, une plateforme efficace de gestion de données RDF fondée sur Hadoop, une implémentation open-source de MapReduce, et son système de fichiers, Hadoop Distributed File System (HDFS), pour stocker et traiter de grands volumes de données. Nous proposons une méthode de partitionnement efficace des données RDF réduisant les transferts de données lors de l'évaluation des requêtes, ainsi qu'un algorithme fondé sur des cliques pour produire des plans de requêtes, minimiser le nombre d'étapes MapReduce, et exploiter notre schéma de partitionnement des données. Enfin, nous présentons des résultats préliminaires en comparant notre système avec HadoopRDF, la référence de la littérature pour les solutions de stockage et interrogation de données RDF fondées sur Hadoop. Nous montrons notamment la supériorité de CliqueSquare en termes de temps de réponse et de trafic réseau.

22 pages, no figures.-- PACS nrs.: 02.10.De, 02.30.Hq.-- MSC2000 code: 33C45. ; MR#: MR1820610 (2003c:33014) ; Zbl#: Zbl 0945.33006 ; The linearization of products of wavefunctions of exactly solvable potentials often reduces to the generalized linearization problem for hypergeometric polynomials (HPs) of a continuous variable, which consists of the expansion of the product of two arbitrary HPs in series of an orthogonal HP set. Here, this problem is algebraically solved directly in terms of the coefficients of the second-order differential equations satisfied by the involved polynomials. General expressions for the expansion coefficients are given in integral form, and they are applied to derive the connection formulae relating the three classical families of hypergeometric polynomials orthogonal on the real axis (Hermite, Laguerre and Jacobi), as well as several generalized linearization formulae involving these families. The connection and linearization coefficients are generally expressed as finite sums of terminating hypergeometric functions, which often reduce to a single function of the same type; when possible, these functions are evaluated in closed form. In some cases, sign properties of the coefficients such as positivity or non-negativity conditions are derived as a by-product from their resulting explicit representations. ; This work was partially supported by research grants from the Dirección General de Enseñanza Superior (DGES) of Spain (project codes PB95-1205 for AMF and JSD, and PB96-0120 for JSR), the European Union (INTAS-93-219-ext, for JSR, AMF and JSD), and the Junta de Andalucía (FQM0207 for JSR and JSD, FQM0229 for PLA and AMF). ; Publicado

1. Conflicts over the management of wildlife species that impact human livelihoods are increasingly frequent. In Spanish farmland areas, the European rabbit, one of the most important game species, can cause considerable crop damage. Tensions typically emerge between farmers who advocate rabbit reduction and hunters who are responsible for controlling populations when crop damage occurs but wish for healthy rabbit populations for shooting. 2. In this study, we used in-depth interviews and small group discussions with farmers, hunters and representatives of the governmental environmental and agricultural agencies to assess their positions in this conflict. 3. Our results showed tensions between and within groups, and that the conflict is influenced by leadership, distrust and past decision-making issues, and by differences in beliefs among groups. Positions of farmers and hunters are also relatively rigid, which may make difficult their engagement in collaborative processes. To be effective, such processes would demand that local leaders were empowered and likely also that external neutral mediators were involved. 4. Our study highlights the complexity and dynamic nature of the conflicts associated with wildlife species causing damage to human livelihoods and provides new insights that may be useful to facilitate dialogue and negotiation between stakeholders and to aid management and governance. ; This study was funded by projects CGL2013‐43197‐R (Ministerio de Economía y Competetividad) and PII‐201810I026 (CSIC) and contributes to the project RTI2018‐096348‐R‐C21/C22 (MCI/AEI/FEDER, UE).

En esta investigación se analizan los elementos de la neuroplanificación presentes en el proceso estratégico de las universidades privadas del estado Zulia. Este trabajo se fundamentó en los postulados teóricos de Pittaluga (2015), Marafuschi (2014), Hill y Col (2011), Braidot (2010), Mintzberg (1999) y Bertalanffy (1980). En este estudio, tipificado como descriptivo, no experimental, transeccional y de campo, los datos se recolectaron a través de un cuestionario con escalamiento de frecuencias, sometido al juicio de expertos y cuya confiabilidad Alfa de Cronbach fue de 0.92. Los resultados demuestran que el pensamiento estratégico es el único elemento de la neuroplanificación que casi siempre está presente en el proceso estratégico de las universidades estudiadas, sin embargo, algunos de los otros elementos presentaron un moderado nivel de ocurrencia, lo cual conlleva a que la gerencia de estas instituciones deban atender realidades internas que le permitan fortalecer las habilidades estratégicas en su personal directivo, por cuanto, la efectividad de todo proceso estratégico no descansa solo en que los líderes tengan un pensamiento visionario, sino, además, en la puesta en práctica constante del análisis integral del todo y sus partes, la aplicación continua de la creatividad, el estudio de diversos modelos de éxitos que ofrece el entono

Actas de congreso ; En estas Jornadas se pone el acento en los aportes de las investigaciones que se realizan en la FAUD tanto a la docencia de grado y posgrado como a la sociedad en su conjunto. Las universidades nacionales son las responsables de avizorar la necesidad creciente de buscar nuevos vínculos con impacto social, diferenciados de las nrmas del mercado, de tal manera que las reposiciones en relación a sus labores prioritarias. La búsqueda de soluciones concretas por las instituciones de estudios superiores a las problemáticas urgentes de todos los sectores sociales se convierte en la clave para la formulación de alternativas de respuesta. La democratización del conocimiento a través de la divulgación y valoración de las actividades científicas, tecnológicas y artísticas de la Universidad traslada a la sociedad y a su dirigencia la materialización, la ideología y el proyecto de país que se construye. Cada trabajo recogido en esta obra nos sirve para contextualizar el quehacer en las aulas de grado y posgrado, los cursos y conferencias de actualización, profundización y perfeccionamiento, y la transferencia al medio. Los textos están marcados por la heterogeneidad de los temas materia de investigación de la Facultad de Arquitectura, Urbanismo y Diseño.