Pompeu Fabra University

About: Pompeu Fabra University is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Population & Context (language use). The organization has 8093 authors who have published 23570 publications receiving 858431 citations. The organization is also known as: Universitat Pompeu Fabra & UPF.

Long-Run Substitutability between More and Less Educated Workers: Evidence from U.S. States 1950-1990

Abstract: We estimate the aggregate long-run elasticity of substitution between more and less educated workers (the slope of the demand curve for more relative to less educated workers) at the US state level. Our data come from the (five) 1950-1990 decennial censuses. Our empirical approach allows for state and time fixed effects and relies on time and state dependent child labor and compulsory school attendance laws as instruments for (endogenous) changes in the relative supply of more educated workers. We find the aggregate long-run elasticity of substitution between more and less educated workers to be around 1.5.

Connected components of sets of finite perimeter and applications to image processing

Abstract: This paper contains a systematic analysis of a natural measure theoretic notion of connectedness for sets of finite perimeter in ℝN, introduced by H. Federer in the more general framework of the theory of currents. We provide a new and simpler proof of the existence and uniqueness of the decomposition into the so-called M-connected components. Moreover, we study carefully the structure of the essential boundary of these components and give in particular a reconstruction formula of a set of finite perimeter from the family of the boundaries of its components. In the two dimensional case we show that this notion of connectedness is comparable with the topological one, modulo the choice of a suitable representative in the equivalence class. Our strong motivation for this study is a mathematical justification of all those operations in image processing that involve connectedness and boundaries. As an application, we use this weak notion of connectedness to provide a rigorous mathematical basis to a large class of denoising filters acting on connected components of level sets. We introduce a natural domain for these filters, the space WBV(Ω) of functions of weakly bounded variation in Ω, and show that these filters are also well behaved in the classical Sobolev and BV spaces.

Bicultural Identity Integration

Abstract: Given the growing numbers of bicultural individuals in the United States and around the world, bicultural identity integration (BII) is an important construct that helps researchers to better capture the diversity within this group. In this chapter, we organize and summarize the limited literature on individual differences in bicultural identity, with a special focus on BII. First, we discuss and define biculturalism and cultural identity in general. Second, we introduce individual differences in bicultural identity and the ways in which these differences have been studied. Third, we define BII, summarize research on this construct, and introduce the latest applications of BII theory to other areas of identity research. In unpacking the construct of BII, we first define it along with its components (harmony and blendedness) and nomological network. We also discuss what we believe to be the process involved in integrating one’s dual cultural identities. We then present correlates of BII, including self-group personality perceptions, culturally related behaviors and values, and sociocultural and psychological adjustment. Finally, we discuss how BII relates to other important social-cognitive constructs, such as cultural frame switching or code switching. We end with a brief overview of the latest applications of BII theory (e.g., to gay identity) and suggestions for future research on bicultural identity. In summary, our goal for this chapter is to introduce BII and to help readers understand the importance of culture in identity.

SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells.

Abstract: High-throughput sequencing technologies enable direct approaches to catalog and analyze snapshots of the total small RNA content of living cells. Characterization of high-throughput sequencing data requires bioinformatic tools offering a wide perspective of the small RNA transcriptome. Here we present SeqBuster, a highly versatile and reliable web-based toolkit to process and analyze large-scale small RNA datasets. The high flexibility of this tool is illustrated by the multiple choices offered in the pre-analysis for mapping purposes and in the different analysis modules for data manipulation. To overcome the storage capacity limitations of the web-based tool, SeqBuster offers a stand-alone version that permits the annotation against any custom database. SeqBuster integrates multiple analyses modules in a unique platform and constitutes the first bioinformatic tool offering a deep characterization of miRNA variants (isomiRs). The application of SeqBuster to small-RNA datasets of human embryonic stem cells revealed that most miRNAs present different types of isomiRs, some of them being associated to stem cell differentiation. The exhaustive description of the isomiRs provided by SeqBuster could help to identify miRNA-variants that are relevant in physiological and pathological processes. SeqBuster is available at http://estivill_lab.crg.es/seqbuster.