Comparing Governmental Agendas: Evolution of the Prioritization of Issues in the USA and Spain

This paper is the first step in a long term project investigating policy stability and change in Spain from an agenda setting perspective and comparing the Spanish policy agenda to that of other advanced democracies. Here we begin to compare the allocation of issue attention in Spain and the USA by comparing the substance of annual President and Prime Minister speeches from 1982 to 2005. Existing research argues that the public agenda has become more crowded, competitive and volatile in recent years. We find that in both countries there has been a transformation of the political agenda towards an increasing diversity of issues. However, most of the volatility in executive attention seems to be explained by salient events rather than by issue crowding. We conclude by discussing some limitations of executive speeches as a measure of governmental issue attention and directions for future research.

Xarxes tolerants a endarreriments i interrupcions: desenvolupament d'un scheduler d'agents mòbils

En aquest projecte es proposa i s’implementa una nova forma de crear xarxes DTN (Delay-Tolerant Networks) mitjançant agents mòbils. Aquestes xarxes tenen la peculiaritat de ser tolerants a endarreriments i interrupcions, podent ser utilitzades en entorns on les xarxes actuals no es poden aplicar. Hem dissenyat mecanismes que permeten prendre decisions d’encaminament a nivell d’aplicació i mecanismes de priorització d’agents mitjançant informació d’alt nivell. Aquests mecanismes milloren les DTN fent-les més flexibles i efectives.

Improving the prediction of the functional impact of cancer mutations by baseline tolerance transformation

High-throughput prioritization of cancer-causing mutations (drivers) is a key challenge of cancer genome projects, due to the number of somatic variants detected in tumors. One important step in this task is to assess the functional impact of tumor somatic mutations. A number of computational methods have been employed for that purpose, although most were originally developed to distinguish disease-related nonsynonymous single nucleotide variants (nsSNVs) from polymorphisms. Our new method, transformed Functional Impact score for Cancer (transFIC), improves the assessment of the functional impact of tumor nsSNVs by taking into account the baseline tolerance of genes to functional variants.