Codi-strat - an interdisciplinary network geared towards sustainable management of chronic and infective diseases

A collaborative effort of clinicians, infectologists, molecular biologists, pharmacologists, veterinarians, bioinformaticians, management and education specialists is united in order to develop novel strategies of detecting early stages of chronic and infective diseases, their prevention and therapy. CODI-STRAT integrates 15 centers conducting leading–edge research of chronic inflammatory/infective diseases from seven European (five Mediterranean) countries and the USA, with specific aims to: i) establish long-standing partner center cross-disciplinary collaborations for clinical studies and research, ii) provide young investigators with broad and content-driven training and employability and iii) promote scientists up-skilled in genomics, transcriptomics, tissue expression, human serological and genetic studies, bioinformatics, chip technology, cell cultures and animal models, all directed toward clinical translation and chronic/infective disease management. This manuscript outlines the goals, partner roles and development of CODI-STRAT and its programme.peer-reviewe

Reconstruction of primary vertices at the ATLAS experiment in Run 1 proton–proton collisions at the LHC

This paper presents the method and performance of primary vertex reconstruction in proton–proton collision data recorded by the ATLAS experiment during Run 1 of the LHC. The studies presented focus on data taken during 2012 at a centre-of-mass energy of √s=8 TeV. The performance has been measured as a function of the number of interactions per bunch crossing over a wide range, from one to seventy. The measurement of the position and size of the luminous region and its use as a constraint to improve the primary vertex resolution are discussed. A longitudinal vertex position resolution of about 30μm is achieved for events with high multiplicity of reconstructed tracks. The transverse position resolution is better than 20μm and is dominated by the precision on the size of the luminous region. An analytical model is proposed to describe the primary vertex reconstruction efficiency as a function of the number of interactions per bunch crossing and of the longitudinal size of the luminous region. Agreement between the data and the predictions of this model is better than 3% up to seventy interactions per bunch crossing