In the present limited cohort of patients younger than 60 years old, biologic aortic valve replacement was associated with reduced mid-term survival compared with survival after mechanical aortic valve replacement. Despite similar valve-related event rates in both groups, the better hemodynamic performance of the mechanical valves and/or protective effect of oral anticoagulation seemed to improve the outcome. The transcatheter valve-in-valve intervention as potential treatment of tissue valve degeneration should not be considered the sole bailout strategy for younger patients because no evidence is available that this would improve the outcome.

No abstract

With the growth of location-based information and the widespread adoption of mobile devices and connected sensors, human mobility has recently emerged as an important research area. Nowadays, the exponential development of mobile sensors and the Internet of Things offers many opportunities for the integration of real-time data on humans acting in indoor and outdoor environments. Moreover, mobile crowd-sensing allows volunteers to actively provide real-time trajectory and activity data (Guo et al., 2015). However, such crowd-sourcing data are most often heterogeneous in space and time and require a flexible data model that can integrate the data as they are and provide data manipulation and analysis capabilities to reformat the data at the appropriate level of abstraction. Understanding urban mobility patterns, together with associated contextual information, requires a sound integration of the modelling level within current information infrastructures. Such development appears as

Abstract-The accelerating progress in science with the active role of the communication media -mainly the web -make person in front of a difficult task, in finding appropriate information during a brief time. In a narrower context, many researches were created in the expertise retrieval domain, as an interesting and complicated task for the scientific community, in face of this huge amount of data scattered across the web. Benefiting from the semantic web technologies and the efforts of data structuring, in this paper we propose a novel approach of correlation based profile building, by exploiting heterogynous web sources. The aim is to generate comprehensive and validated profiles about researchers and experts in the computer science domain.