University of Extremadura

About: University of Extremadura is a education organization based out in Badajoz, Spain. It is known for research contribution in the topics: Population & Hyperspectral imaging. The organization has 7856 authors who have published 18299 publications receiving 396126 citations. The organization is also known as: Universidad de Extremadura.

L-Kynurenine/Aryl Hydrocarbon Receptor Pathway Mediates Brain Damage After Experimental Stroke

Abstract: Background—Aryl hydrocarbon receptor (AhR) is a transcription factor that belongs to the basic helix-loop-helix PAS (Per-Arnt-Sim homology domain) family known to mediate the toxic and carcinogenic...

A New Sparse Subspace Clustering Algorithm for Hyperspectral Remote Sensing Imagery

Abstract: Robust techniques such as sparse subspace clustering (SSC) have been recently developed for hyperspectral images (HSIs) based on the assumption that pixels belonging to the same land-cover class approximately lie in the same subspace. In order to account for the spatial information contained in HSIs, SSC models incorporating spatial information have become very popular. However, such models are often based on a local averaging constraint, which does not allow for a detailed exploration of the spatial information, thus limiting their discriminative capability and preventing the spatial homogeneity of the clustering results. To address these relevant issues, in this letter, we develop a new and effective $\ell _{2} $ -norm regularized SSC algorithm which adds a four-neighborhood $\ell _{2} $ -norm regularizer into the classical SSC model, thus taking full advantage of the spatial-spectral information contained in HSIs. The experimental results confirm the potential of including the spatial information (through the newly added $\ell _{2} $ -norm regularization term) in the SSC framework, which leads to a significant improvement in the clustering accuracy of SSC when applied to HSIs.

Education as a Positional Good: A Life Satisfaction Approach

Abstract: In this paper we empirically investigate the direct effects of education on utility. Besides investment aspects of education, the focus is placed on its consumption component and on education positional concerns. We use data from the World Values Survey (WVS) and adopt a life satisfaction approach. First, we find that education shows a significant effect on life satisfaction independent of its effect on income, thus identifying a consumption component of education. Furthermore, given that the contribution of education to individual wellbeing might depend partly on relative position rather than absolute levels, we next study whether education can be considered as a positional good. To this end we analyse the relationship between education and life satisfaction for people in different income groups in which the reference levels of education may differ. Additionally, we control for occupational status since benefits from education could appear via occupational benefits. Our results indicate that the contribution of education to subjective wellbeing is stronger as less people attain a given level of education, thus suggesting that this contribution is partly due to positional concerns.