A Constitution of Social Governance for the European Union

This chapter considers the EU’s socio-economic constitution under the lens of humaneness. It argues that the EU’s unique socio-economic constitution demands equilibrium of socio-economic integration instead of widening the gap between economic integration at EU levels and social integration at national levels. While the EU lacks the legislative competences to achieve this equilibrium, the constitutional principle still prevails. Indeed, the EU competences reflect its own values as well as the socio-economic constitutions of its constituent Member States. These frequently do not allow for total state-governance of social spheres such as working life, education, care or other social services. Instead, societal actors are given scope to (co-)govern these spheres at national levels. Accordingly, the apparent tension between the EU’s socio-economic values and principles and its limited competences in the social policy field can be resolved through a dynamic interpretation of the EU Treaties towards a “constitution of social governance”. This interpretation reads the Treaties as authorising governance by societal actors. The chapter connects the idea of humanness to the ideals of social governance at EU level and proposes two options for practical application of the concept. These are rules for trans-national labour markets based on European collective labour agreements and a European higher education sector developed by agreements between universities.

New androgen receptor genomic targets show an interaction with the ETS1 transcription factor

The androgen receptor (AR) initiates important developmental and oncogenic transcriptional pathways. The AR is known to bind as a homodimer to 15-base pair bipartite palindromic androgen-response elements; however, few direct AR gene targets are known. To identify AR promoter targets, we used chromatin immunoprecipitation with on-chip detection of genomic fragments. We identified 1,532 potential AR-binding sites, including previously known AR gene targets. Many of the new AR target genes show altered expression in prostate cancer. Analysis of sequences underlying AR-binding sites showed that more than 50% of AR-binding sites did not contain the established 15 bp AR-binding element. Unbiased sequence analysis showed 6-bp motifs, which were significantly enriched and were bound directly by the AR in vitro. Binding sequences for the avian erythroblastosis virus E26 homologue (ETS) transcription factor family were also highly enriched, and we uncovered an interaction between the AR and ETS1 at a subset of AR promoter targets.

On the statistics of transverse permeability of randomly distributed fibers

An RVE–based stochastic numerical model is used to calculate the permeability of randomly generated porous media at different values of the fiber volume fraction for the case of transverse flow in a unidirectional ply. Analysis of the numerical results shows that the permeability is not normally distributed. With the aim of proposing a new understanding on this particular topic, permeability data are fitted using both a mixture model and a unimodal distribution. Our findings suggest that permeability can be fitted well using a mixture model based on the lognormal and power law distributions. In case of a unimodal distribution, it is found, using the maximum-likelihood estimation method (MLE), that the generalized extreme value (GEV) distribution represents the best fit. Finally, an expression of the permeability as a function of the fiber volume fraction based on the GEV distribution is discussed in light of the previous results.