23 research outputs found

    Application-layer Performance Analysis of PRIME in Smart Metering Networks

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    This paper assesses the performance of actual PRIME v1.3.6 and PRIME v1.4 systems when used for Smart Metering applications. The analysis is performed at the application level using the DLMS/COSEM stack. Hence, it considers performance indicators that are of practical interest for distribution system operators, such as the availability and the average time needed to read the energy load profile of all the meters. To this end, two test networks with 112 smart meters have been deployed in the laboratory (to ensure the stability of the network). In one of them all the Service Nodes communicate directly with the Base Node, while there exist up to 5 switching levels in the other tested network. First, the PRIME v1.3.6 system is evaluated, stressing the significant performance gain that can be obtained by implementing some MAC layer strategies, which are compatible with the specification but not specifically defined on it. Then,the improvement offered by the PRIME v1.4 system is assessed.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

    Unsupervised neural models for country and political risk analysis

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    This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyze levels of country, business and political risk. Its main goal is to help business decision-makers understand the dynamics within the emerging market countries in which they operate. Most of the neural models applied in this study are defined within the framework of unsupervised learning. They are based on Exploratory Projection Pursuit, Topology Preserving Maps and Curvilinear Component Analysis. Two interesting real data sets are analyzed to empirically probe the robustness of these models. The first case study describes information from a significant sample of Spanish multinational enterprises (MNEs). It analyses data pertaining to such aspects as decisions over the location of subsidiary enterprises in various regions across the world, the importance accorded to such decisions and the driving forces behind them. Through a projection-based analysis, this study reveals a range of different reasons underlying the internationalization strategies of Spanish MNEs and the different goals they pursue. It may be concluded that projection connectionist techniques are of immense assistance in the process of identifying the internationalization strategies of Spanish MNEs, their underlying motives and the goals they pursue. The second case study covers several risk categories that include task policy, security, and political stability among others, and it tracks the scores of different countries all over the world. Interesting conclusions are drawn from the application of several business intelligence solutions based on neural projection models, which support data analysis in the context of country and political risk analysisAlfredo Jimenez Palmero is grateful for the financial support from the Spanish Ministry of Science and Innovation through the FPU programme. This research has been partially supported through the Junta of Castilla and Leon under project BU006A08; the Spanish Ministry of Education and Innovation under project CIT-020000-2008-2 and CIT-020000-2009-12. The authors would also like to thank the vehicle interior manufacturer, Grupo Antolin Ingenieria S.A., under project MAGNO2008-1028.- CENIT Project funded by the Spanish Government

    Algunos resultados de la aplicación del nuevo Plan de Estudios

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    Este dossier coordinado por Alfredo Alvar Ezquerra contiene los siguientes artículos: La inclusa de Madrid; El protocolo 258 y Madrid hacia 1562; Evolución de dos casas panadería en el Madrid de la época moderna; Canencia: un ejercicio de demografía histórica.Este artículo está sujeto a una licencia CC BY 4.0Peer reviewe

    Country and Political Risk Analysis of Spanish Multinational Enterprises Using Exploratory Projection Pursuit

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    As part of a multidisciplinary research project on relevant applications of Exploratory Projection Pursuit, this study sets out to examine levels of country and political risk that are assumed by a sample of Spanish Multinational Enterprises (MNEs). It analyses information pertaining to points such as decisions over the localization of subsidiary firms in various regions across the world, the importance accorded to such decisions and the driving forces behind them. The specific variables under study are economic freedoms, perceived levels of corruption and the constraints affecting the host governments in a sample of 1773 Spanish MNE subsidiaries throughout the world. Several neural projection models are applied, and we are able to conclude that these connectionist techniques help analyse the relevant data to identify the internationalization strategies of Spanish MNEs, their underlying motives and the goals they pursue

    II Premio Nacional de educación para el desarrollo "Vicente Ferrer" 2010 : buenas prácticas

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    Resumen basado en el de la publicaciónLa Agencia Española de Cooperación Internacional para el Desarrollo (AECID) junto con el Ministerio de Educación convoca anualmente los premios de educación para el desarrollo que están dirigidos a todos los centros docentes españoles sostenidos con fondos públicos que impartan educación infantil, educación primaria, educación secundaria obligatoria, bachillerato y formación profesional. Se recogen las buenas prácticas de los docentes premiados en esta segunda edición. Docentes que en el ejercicio de su función educadora han convertido el proceso educativo en un proceso dinámico e interactivo que permite al alumnado desarrollar un conocimiento crítico de nuestro mundo. Profesores y profesoras que han estimulado la participación del alumnado en la construcción de estructuras sociales más justas y solidarias, y han promovido actuaciones basadas en el principio de la corresponsabilidad de todos los actores implicados.MadridBiblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San Agustín, 5 - 3 planta; 28014 Madrid; Tel. +34917748000; [email protected]

    Legal Status and the Struggles of Farmworkers in West Texas and New Mexico, 1942-1993

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    Dietary α-linolenic acid, marine ω-3 fatty acids, and mortality in a population with high fish consumption: Findings from the PREvención con DIeta MEDiterránea (PREDIMED) Study

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    12 Páginas.-- 6 Tablas.-- 1 FiguraBackground-Epidemiological evidence suggests a cardioprotective role of α-linolenic acid (ALA), a plant-derived ω-3 fatty acid. It is unclear whether ALA is beneficial in a background of high marine ω-3 fatty acids (long-chain n-3 polyunsaturated fatty acids) intake. In persons at high cardiovascular risk from Spain, a country in which fish consumption is customarily high, we investigated whether meeting the International Society for the Study of Fatty Acids and Lipids recommendation for dietary ALA (0.7% of total energy) at baseline was related to all-cause and cardiovascular disease mortality. We also examined the effect of meeting the society's recommendation for long-chain n-3 polyunsaturated fatty acids (≥500 mg/day). Methods and Results-We longitudinally evaluated 7202 participants in the PREvención con DIeta MEDiterránea (PREDIMED) trial. Multivariable-adjusted Cox regressionmodels were fitted to estimate hazard ratios. ALA intake correlated towalnut consumption (r=0.94). During a 5.9-y follow-up, 431 deaths occurred (104 cardiovascular disease, 55 coronary heart disease, 32 sudden cardiac death, 25 stroke). The hazard ratios formeeting ALArecommendation (n=1615, 22.4%) were 0.72 (95% CI 0.56-0.92) for all-causemortality and 0.95 (95% CI 0.58-1.57) for fatal cardiovascular disease. The hazard ratios formeeting the recommendation for long-chain n-3 polyunsaturated fatty acids (n=5452, 75.7%) were 0.84 (95% CI 0.67-1.05) for all-causemortality, 0.61 (95% CI 0.39-0.96) for fatal cardiovascular disease, 0.54 (95% CI 0.29-0.99) for fatal coronary heart disease, and 0.49 (95% CI 0.22-1.01) for sudden cardiac death. The highest reduction in all-cause mortality occurred in participants meeting both recommendations (hazard ratio 0.63 [95% CI 0.45-0.87]). Conclusions-In participants without prior cardiovascular disease and high fish consumption, dietary ALA, supplied mainly by walnuts and olive oil, relates inversely to all-cause mortality, whereas protection from cardiac mortality is limited to fish-derived long-chain n-3 polyunsaturated fatty acids.This study was funded in part by Instituto de Salud Carlos III (ISCIII) (Spanish Ministry of Economy) through grants RTIC G03/140, RTIC RD 06/0045, Centro Nacional de Investigaciones Cardiovasculares CNIC 06/2007, ISCIII FIS PS09/01292, the Spanish Ministry of Science and Innovation (MICINN) AGL2010‐22319‐C03‐02 and AGL2009‐13906‐C02‐02, and an unrestricted grant from the California Walnut Commission. Sala‐Vila holds a Miguel Servet I fellowship from the Ministry of Economy and Competitiveness through the ISCIII
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