Análisis e implementación de una interfaz para visualización de un repositorio RDF

Los objetos de una biblioteca virtual están expresados en RDF cumpliendo los requerimientos de acceso de los Datos Abiertos Enlazados. El lenguaje de acceso a esos datos es el SPARQL de difícil compresión. Se trata de realizar formatos de acceso gráfico a la información semántica guardada en los repositorios RDF. Implementación de un interfaz que permita explotar la información almacenada en el repositorio RDF de la BVMC. Por ejemplo, permitir la navegación por siglos, épocas,..

Reference variables for analysing inflation in Spain

Artículo de revistaThis note analyses the main reasons why the Directorate General Economics, Statistics and Research of the Banco de España has recently adopted the Harmonised Index of Consumer Prices (HICP) and its associated measure of core inflation (the HICP excluding energy and food) as its reference variables for analysing inflation in Spain, instead of its previous practice of focusing on the consumer price index (CPI) and the CPI excluding unprocessed food and energy. The advantages in terms of communication and consistency with the other euro area countries and the European Central Bank (ECB) make it advisable to base the regular analysis of price developments on the harmonised measures. In any case, the CPI will continue to be analysed regularly, given its more extensive regional coverage and longer time serie

Composite indicators of inflationary pressures

Artículo de revistaThis article analyses a broad set of relevant variables for monitoring inflationary pressures in the Spanish economy. On the basis of these variables, composite indicators are calculated that proxy inflation expectations, the degree of slack in the economy and other inflation pressures, domestic and external alike. On the information analysed, the recent period of low inflation in the Spanish economy is estimated to have come about in a setting in which domestic factors particularly eased, with a notable reduction in inflation expectation

A suite of inflation forecasting models

En este trabajo se describen los modelos econométricos utilizados por el Banco de España para hacer el seguimiento de la inflación y prever sus tendencias futuras. La estrategia empleada se fundamenta en gran medida en los resultados de un conjunto de modelos econométricos, que se complementa con el juicio de expertos. Se consideran tres tipos diferentes de enfoques y se destaca la relevancia de la heterogeneidad en la determinación de precios y la importancia de utilizar modelos que permitan una evolución lenta de la media local cuando se prevé la inflaciónThis paper describes the econometric models used by the Banco de España to monitor consumer price inflation and forecast its future trends. The strategy followed heavily relies on the results from a set of econometric models, supplemented by expert judgment. We consider three different types of approaches and highlight the relevance of heterogeneity in price-setting behaviour and the importance of using models that allow for a slowly evolving local mean when forecasting inflatio

StarTroper, a film trope rating optimizer using Deep Learning and Evolutionary Algorithms

Designing a story is widely considered a crafty yet critical task that requires deep specific human knowledge in order to reach a minimum quality and originality. This includes designing at a high level different elements of the film; these high-level elements are called tropes when they become patterns. The present paper proposes and evaluates a methodology to automatically synthesise sets of tropes in a way that they maximize the potential rating of a film that conforms to them. We use deep learning to create a surrogate model mapping film ratings from tropes, trained with the data extracted and processed from huge film databases in Internet, and then we use a Genetic Algorithm that uses that surrogate model as evaluator to optimize the combination of tropes in a film. In order to evaluate the methodology, we analyse the nature of the tropes and their distributions in existing films, the performance of the models and the quality of the sets of tropes synthesised. The results of this proof of concept show that the methodology works and is able to build sets of tropes that maximize the rating and that these sets are genuine. The work has revealed that the methodology and tools developed are directly suitable for assisting in the plots generation as an authoring tool and, ultimately, for supporting the automatic generation of stories, for example, in massively populated videogames

Emerging archetypes in massive artificial societies for literary purposes using genetic algorithms

The creation of fictional stories is a very complex task that usually implies a creative process where the author has to combine characters, conflicts and plots to create an engaging narrative. This work presents a simulated environment with hundreds of characters that allows the study of coherent and interesting literary archetypes (or behaviours), plots and sub-plots. We will use this environment to perform a study about the number of profiles (parameters that define the personality of a character) needed to create two emergent scenes of archetypes: "natality control" and "revenge". A Genetic Algorithm (GA) will be used to find the fittest number of profiles and parameter configuration that enables the existence of the desired archetypes (played by the characters without their explicit knowledge). The results show that parametrizing this complex system is possible and that these kind of archetypes can emerge in the given environment.This work has been supported in part by FPU research grant AP2009-2942 and projects EvOrq (TIC-3903), CANUBE (CEI2013-P-14) and ANYSELF (TIN2011-28627-C04-02)

Mesenchymal Stem Cells for Clinical Use after Spinal Cord Injury

Since multipotential and immunoregulatory properties were identified in mesenchymal stem cells (MSCs) in the twentieth century, they have been proposed as an effective therapy for many degenerative and traumatic diseases such as spinal cord injury (SCI). SCI is a devastating event with a high mortality rate that evokes the loss of motor and sensory functions due to neurochemical imbalance and an exacerbated immune response as a consequence of the initial mechanical damage, which in conjunction creates a hostile microenvironment that inhibits neuronal circuitry restoration. This chapter pretends to lead the reader towards the immunomodulatory, differentiation, and tissue repairing capacities of MSCs that allow them to be a valuable candidate for clinical trials. In the first section, the physiopathology of SCI will be addressed; after that, the chapter will review the general aspects of MSCs such as origin, molecular markers, and the different mechanisms by which MSCs can heal the target tissues. Finally, we will discuss clinical trials involving autologous MSC transplantation and their limitations

The effect of oil price fluctuations on Spanish inflation

Artículo de revistaThis article analyses the impact of changes in oil prices on the consumer price index (CPI) in the Spanish economy from a historical perspective. The evidence provided reveals a substantial degree of pass-through of these changes to CPI components tied to heating and vehicle fuel (direct effect). However, the estimated effect of changes in crude prices on firms’ input costs (indirect effects) and on inflation or wage expectations (second-round effects) is, on average, moderate. Consequently, in the current situation, in the absence of fresh shocks in the expected path of oil prices, the rise in the CPI in early 2017 – linked to base effects prompted by the low price of this commodity for most of 2016 – can be expected to be essentially temporary and, therefore, consistent with a downward trajectory in inflation in the coming month

Prevalence and clinical characteristics of Charles Bonnet syndrome in Madrid, Spain

Purpose: Charles Bonnet syndrome (CBS) is a condition characterized by development of visual hallucinations in patients with no cognitive impairment and significant loss of vision mainly caused by age-related macular degeneration (AMD) or glaucoma. Methods: This was a study of prevalence and characteristics of CBS diagnosed at the Neuroophthalmic Unit within the Ophthalmology Department of Hospital Clínico San Carlos (HCSC), Madrid, Spain. Results: The CBS prevalence in patients from HCSC Madrid is 0.47%, rising to 15% in patients with low vision. Women over 80 years of age comprised 58.3% of the patients, who mainly had AMD (58.3%). Main characteristics of hallucinations included animals (50%), color (58.3%), moving (75%), 6- to 12-month evolution (50%), three times a day frequency (75%), and 3- to 5-minute duration (50%). Conclusions: Charles Bonnet syndrome is a complex process that must be treated jointly by ophthalmologists, neurologists, and psychiatrists in order to ensure accurate diagnosis and adequate management. New studies are needed in order to improve awareness of clinical manifestation of this condition, the incidence of which is underestimated due to patients' fear of being branded mentally ill, as well as physicians' lack of knowledge about CBS