Construir confianza 2016: informe de transparencia y buen gobierno en la web de las fundaciones españolas

El análisis de este informe de transparencia y buen gobierno revela que los órganos de gobierno de las fundaciones están todavía muy lejos de entender y cumplir la alta responsabilidad que se les ha confiado. La mayoría de las fundaciones analizadas siguen contando con patronatos decorativos que, en el mejor de los casos, se limitan a cumplir funciones puramente representativas. Esta es la realidad y cuanto antes se reconozca, antes se podrán aplicar los remedios oportunos para corregirla

A process of rumor scotching on finite populations

Rumor spreading is a ubiquitous phenomenon in social and technological networks. Traditional models consider that the rumor is propagated by pairwise interactions between spreaders and ignorants. Spreaders can become stiflers only after contacting spreaders or stiflers. Here we propose a model that considers the traditional assumptions, but stiflers are active and try to scotch the rumor to the spreaders. An analytical treatment based on the theory of convergence of density dependent Markov chains is developed to analyze how the final proportion of ignorants behaves asymptotically in a finite homogeneously mixing population. We perform Monte Carlo simulations in random graphs and scale-free networks and verify that the results obtained for homogeneously mixing populations can be approximated for random graphs, but are not suitable for scale-free networks. Furthermore, regarding the process on a heterogeneous mixing population, we obtain a set of differential equations that describes the time evolution of the probability that an individual is in each state. Our model can be applied to study systems in which informed agents try to stop the rumor propagation. In addition, our results can be considered to develop optimal information dissemination strategies and approaches to control rumor propagation.Comment: 13 pages, 11 figure

Recent ET/STC/TT near Iberian Peninsula and Canary Islands

Comunicación presentada en: Workshop on subtropical cyclones and extratropical transitions celebrado del 8-9 de mayo de 2008 en Madrid

Analysis of advanced European nuclear fuel cycle scenarios including transmutation and economic estimates

Four European fuel cycle scenarios involving transmutation options (in coherence with PATEROS and CPESFR EU projects) have been addressed from a point of view of resources utilization and economic estimates. Scenarios include: (i) the current fleet using Light Water Reactor (LWR) technology and open fuel cycle, (ii) full replacement of the initial fleet with Fast Reactors (FR) burning U?Pu MOX fuel, (iii) closed fuel cycle with Minor Actinide (MA) transmutation in a fraction of the FR fleet, and (iv) closed fuel cycle with MA transmutation in dedicated Accelerator Driven Systems (ADS). All scenarios consider an intermediate period of GEN-III+ LWR deployment and they extend for 200 years, looking for long term equilibrium mass flow achievement. The simulations were made using the TR_EVOL code, capable to assess the management of the nuclear mass streams in the scenario as well as economics for the estimation of the levelized cost of electricity (LCOE) and other costs. Results reveal that all scenarios are feasible according to nuclear resources demand (natural and depleted U, and Pu). Additionally, we have found as expected that the FR scenario reduces considerably the Pu inventory in repositories compared to the reference scenario. The elimination of the LWR MA legacy requires a maximum of 55% fraction (i.e., a peak value of 44 FR units) of the FR fleet dedicated to transmutation (MA in MOX fuel, homogeneous transmutation) or an average of 28 units of ADS plants (i.e., a peak value of 51 ADS units). Regarding the economic analysis, the main usefulness of the provided economic results is for relative comparison of scenarios and breakdown of LCOE contributors rather than provision of absolute values, as technological readiness levels are low for most of the advanced fuel cycle stages. The obtained estimations show an increase of LCOE ? averaged over the whole period ? with respect to the reference open cycle scenario of 20% for Pu management scenario and around 35% for both transmutation scenarios. The main contribution to LCOE is the capital costs of new facilities, quantified between 60% and 69% depending on the scenario. An uncertainty analysis is provided around assumed low and high values of processes and technologies

Characteristics of nascent entrepreneur in Germany

Currently, the rate of creation of new enterprises -or start-ups- is considered as one of the maximum exponents of competitiveness within the different economies. The interest regarding the appearance of new enterprises has made numerous governments in the continent implement a series of support measures in that direction. It is expected that the European productive fabric can be revitalized in this way, and therefore to be able to compete with the present superiority of the United States, specially in the field of the so-called 'new economy'. However, very little is still known with respect to the specific characteristics of the individuals who create those enterprises. The knowledge about the figure of the entrepreneur could allow a greater effectiveness of the measures already in operation, as well as of others that may be implemented. In this work we seek to contribute to a better knowledge of the European entrepreneur through an analysis of the characteristics of nascent entrepreneurs in Germany, a major Central European country. Given that Germany is the most important economy in the continent, and taking into account the narrow cultural interrelations with the neighbouring countries, we understand that this study can be representative of that area in Europe. For this study we will be using data from the Panel Comparability (PACO) Project, which includes a longitudinal panel of German households. The Panel data provide information on economic variables and both personal and family characteristics that may influence the decision of creating a new enterprise. It allows us to analyze the features presented by the prospective entrepreneurs before the creation of their enterprises. Thus, we can approach to the ideal situation of studying which are the factors that cause the decision of settling down as an entrepreneur

A Decision Tree and S-Transform Based Approach for Power Quality Disturbances Classification

In this paper, it is presented an automated classification based on S-transform as feature extraction tool and Decision Tree as algorithm classifier. The signals generated according to mathematical models, including complex disturbances, have been used to design and test this approach, where noise is added to the signals from 40dB to 20dB. Finally, several disturbances, simple and complex, have been considered to test the implemented system. Evaluation results verifying the accuracy of the proposed method are presented.IEE