Sectoral unions and employers organisations in the EU agricultural sector : final report

A portada: Universite catholique de Louvain. Institut de sciences du travailResearch project conducted on behalf of the Employment and Social Affairs DG of the European CommissionThis paper is the 17th report arising out of the study commissioned from the Institut des Sciences du Travail (IST) at the Catholic University of Louvain by the European Commission services, DGV, following call for tenders No V/001/97. This report seeks to provide the Commission with empirical data that will facilitate an assessment of the institutional representative status of European employers' and employees' organisations in the sector in the 15 Member States of the EU. It follows on from other research in the same field, but focuses particularly on organisations recognised as 'social partners' in the intersectoral level in each EU country, organisations affiliated to the CEC1 and to Eurocadres, and organisations that sign collective agreements in the construction, textiles and commerce sector. We will next tackle specifically the HORECA (hotels, restaurants and cafés) and local public service sectors

Sectorial unions and employers organisations in the EU hairdressing and other beauty treatments sector

A portada: Universite catholique de Louvain. Institut de sciences du travailResearch project conducted on behalf of the Employment and Social Affairs DG of the European CommissionTipus de projecte: Projecte europeuThis document is the 17th report arising out of the study commissioned from the Institut des Sciences du Travail (IST) at the Catholic University of Louvain by the European Commission services, DGV, following call for tenders No V/001/97. This report seeks to provide the Commission with empirical data that will facilitate an assessment of the institutional representativeness of European employers' and employees' organisations in the Hairdressing in the 15 Member States of the EU. To the extent that these activities are developped as such, it will also deal with 'other Beauty Treatment' activities. It follows on from other research in the same field, that focused ie particularly on organizations recognised as 'social partners' in the intersectoral level in each EU country, organisations affiliated to the CEC1 and to Eurocadres, and organisations that sign collective agreements in the construction, textiles and commerce sector, as well as road haulage and agriculture

Sectoral unions and employers organisations in the EU hotels, restaurants and cafés sector (NACE 55) : final report/

Tipus de projecte: Projecte europeuA portada: Universite catholique de Louvain. Institut de sciences du travailResearch project conducted on behalf of the Employment and Social Affairs DG of the European CommissionThis paper is the 18th report arising out of the study commissioned from the Institut des Sciences du Travail (IST) at the Catholic University of Louvain by the European Commission services, DGV, following call for tenders No V/001/97. This report seeks to provide the Commission with empirical data that will facilitate an assessment of the institutional representative status of European employers' and employees' organisations in the sector in the 15 Member States of the EU. It follows on from other research in the same field, but focuses particularly on organisations recognised as 'social partners' in the intersectoral level in each EU country, organisations affiliated to the CEC1 and to Eurocadres, and organisations that sign collective agreements in the construction, textiles and commerce sector. We will next tackle specifically the hairdressing and beauty care sector

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery