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.

Do Educated Leaders Matter

Abstract: This article uses data on more than 1,000 political leaders between 1875 and 2004 to investigate whether having a more educated leader affects the rate of economic growth. We use an expanded set of random leadership transitions because of natural death or terminal illness to show, following an earlier paper by Jones and Olken (2005), that leaders matter for growth. We then provide evidence supporting the view that heterogeneity among leaders’ educational attainment is important with growth being higher by having leaders who are more highly educated.

Incorporating societal concerns for fairness in numerical valuations of health programmes.

Abstract: The paper addresses some limitations of the QALY approach and outlines a valuation procedure that may overcome these limitations. In particular, we focus on the following issues: the distinction between assessing individual utility and assessing societal value of health care; the need to incorporate concerns for severity of illness as an independent factor in a numerical model of societal valuations of health outcomes; similarly, the need to incorporate reluctance to discriminate against patients that happen to have lesser potentials for health than others; and finally, the need to combine measurements of health-related quality of life obtained from actual patients (or former patients) with measurements of distributive preferences in the general population when estimating societal value. We show how equity weights may serve to incorporate concerns for severity and potentials for health in QALY calculations. We also suggest that for chronically ill or disabled people a life year gained should count as one and no less than one as long as the year is considered preferable to being dead by the person concerned. We call our approach ‘cost-value analysis’. Copyright © 1999 John Wiley & Sons, Ltd.

A Wavenet for Speech Denoising

Abstract: Most speech processing techniques use magnitude spectrograms as front-end and are therefore by default discarding part of the signal: the phase. In order to overcome this limitation’ we propose an end-to-end learning method for speech denoising based on Wavenet. The proposed model adaptation retains Wavenet's powerful acoustic modeling capabilities, while significantly reducing its time-complexity by eliminating its autoregressive nature. Specifically, the model makes use of non-causal, dilated convolutions and predicts target fields instead of a single target sample. The discriminative adaptation of the model we propose, learns in a supervised fashion via minimizing a regression loss. These modifications make the model highly parallelizable during both training and inference. Both quantitative and qualitative evaluations indicate that the proposed method is preferred over Wiener filtering, a common method based on processing the magnitude spectrogram.

Cell type–specific genetic regulation of gene expression across human tissues

Abstract: The Genotype-Tissue Expression (GTEx) project has identified expression and splicing quantitative trait loci in cis (QTLs) for the majority of genes across a wide range of human tissues. However, the functional characterization of these QTLs has been limited by the heterogeneous cellular composition of GTEx tissue samples. We mapped interactions between computational estimates of cell type abundance and genotype to identify cell type-interaction QTLs for seven cell types and show that cell type-interaction expression QTLs (eQTLs) provide finer resolution to tissue specificity than bulk tissue cis-eQTLs. Analyses of genetic associations with 87 complex traits show a contribution from cell type-interaction QTLs and enables the discovery of hundreds of previously unidentified colocalized loci that are masked in bulk tissue.