El bienestar en España: una perspectiva de largo plazo, 1850-1991

Los historiadores económicos han estimado tradicionalmente el bienestar en términos de renta por persona. Durante la última década se han publicado, sin embargo, diversos trabajos que utilizan otros indicadores. Siguiendo esta línea de investigación, el artículo contrasta cuatro indicadores del bienestar en España (renta per capita, índice de Desarrollo Humano, Índice Físico de Calidad de Vida y estatura), dos de los cuales son inéditos (IDH e IFCV). Los resultados complican el objeto de estudio, pero sirven para proponer algunas hipótesis que deben ser ratificadas o desmentidas por futuras investigaciones.

How Does Intimate Partner Violence Differ Depending on Level of Rurality of Residential Area in Spain?

Intimate partner violence (IPV) is recognized as a worldwide public health problem. Most theories ascribe IPV to individual, family, or cultural factors. Authors analyzed different residential areas in Spain in terms of IPV frequency as well as its impact on health and the use of services. A standardized self-administered cross-sectional survey was administered to ever-partnered adult women ages 18 to 70 years receiving care at primary health care centers (N = 10,322). Logistic regression analyzed the association between the level of rurality and health indicators, IPV, and use of services. The lowest frequency of IPV among women is reflected in higher rurality. Women of medium and low rurality presented a poorer self-perceived health and more physical health problems. Women from medium and low rurality areas declared seeking health services more frequently. These results show the importance of the environment in health and indicate the need for research on urban–rural differences in health problems to develop specific public health programs for each country.

μ-MAR: Multiplane 3D Marker based Registration for depth-sensing cameras

Many applications including object reconstruction, robot guidance, and. scene mapping require the registration of multiple views from a scene to generate a complete geometric and appearance model of it. In real situations, transformations between views are unknown and it is necessary to apply expert inference to estimate them. In the last few years, the emergence of low-cost depth-sensing cameras has strengthened the research on this topic, motivating a plethora of new applications. Although they have enough resolution and accuracy for many applications, some situations may not be solved with general state-of-the-art registration methods due to the signal-to-noise ratio (SNR) and the resolution of the data provided. The problem of working with low SNR data, in general terms, may appear in any 3D system, then it is necessary to propose novel solutions in this aspect. In this paper, we propose a method, μ-MAR, able to both coarse and fine register sets of 3D points provided by low-cost depth-sensing cameras, despite it is not restricted to these sensors, into a common coordinate system. The method is able to overcome the noisy data problem by means of using a model-based solution of multiplane registration. Specifically, it iteratively registers 3D markers composed by multiple planes extracted from points of multiple views of the scene. As the markers and the object of interest are static in the scenario, the transformations obtained for the markers are applied to the object in order to reconstruct it. Experiments have been performed using synthetic and real data. The synthetic data allows a qualitative and quantitative evaluation by means of visual inspection and Hausdorff distance respectively. The real data experiments show the performance of the proposal using data acquired by a Primesense Carmine RGB-D sensor. The method has been compared to several state-of-the-art methods. The results show the good performance of the μ-MAR to register objects with high accuracy in presence of noisy data outperforming the existing methods.

Herramientas e indicadores SEO: características y aplicación al análisis de cibermedios

La búsqueda es una de las actividades centrales en el mundo digital y, por tanto, uno de los elementos clave en el análisis de cibermedios, ya que una parte de sus audiencias y de sus ingresos procede de las páginas de resultados de los buscadores (SERP). En este trabajo, presentamos algunas de las herramientas de análisis de posicionamiento SEO más utilizadas con el fin de considerar su aplicación en estudios académicos sobre cibermedios. Aplicamos los nueve indicadores más importantes de estas herramientas a la página principal de cuatro cibermedios generalistas espanoles con el fin de estimar su viabilidad como indicadores alternativos al PageRank y otros indicadores de Google.