115 research outputs found
Understanding the effects of tunneling on buildings by analyzing DInSAR data: The case of the new subway in Rome, Italy
No full textMonitoring the displacements of the buildings during the execution of underground works is a very demanding activity in large urban areas contexts, due to the number of structures involved and to the duration of the measurements throughout the realization time. Therefore, the surface deformation detection cannot be based on direct measurements using ground-based sensors, only, and should include technologies that allow a systematic and comprehensive monitoring. The satellite DInSAR technique (Differential Interferometry Synthetic Aperture Radar) provides displacement time series of a large number of measuring points, which can be associated with different portions of a building and are able to reveal differential settlements. Furthermore, the availability of SAR data archived since 1992 allows performing back analyses to evaluate also long-term settlement processes not directly linked to the tunneling works. More recently, the COSMO-SkyMed constellation, developed by the Italian Space Agency (ASI), has provided data at higher space/time resolution, which have been profitably used to detect and follow the evolution of the settlements caused by tunneling excavation works, as in the case of the new metro line in Rome. By applying the advanced DInSAR methodology, we have estimated average rates of displacement for a number of buildings over the Metro C track interested by the subsidence, very likely triggered by tunneling. A classification-based approach was applied by taking into account the displacement rates and the associated statistical error parameters. This provided a tool for the direct identification of the most critical buildings that need further investigations
Studio di modelli per l’individuazione di aree provvisorie per lo stoccaggio di rifiuti mediante analisi multi criterio
No full textPatent ductus arteriosus in preterm infants born before 30 weeks’ gestation: high rate of spontaneous closure after hospital discharge
No full textAim: The aim of this study was to determine the spontaneous closure rate of patent ductus arteriosus at a 2-year follow-up, following failed medical therapy and beyond initial hospital discharge, and to evaluate in-hospital spontaneous or pharmacological closure rates. Materials and methods: A retrospective evaluation was conducted in a cohort of preterm infants admitted to the Neonatal ICU of Ancona between January, 2004 and June, 2013. Inclusion criteria were gestational age between 24+0 and 29+6 weeks or birth weight 1.5 mm, a left atrium-to-aorta ratio >1.4, and/or reversal of end-diastolic flow in the aorta >30% of the anterograde. First-line treatment was intravenous ibuprofen. Intravenous indomethacin was used if ibuprofen failed. Surgical ligation was considered in haemodynamically significant patent ductus arteriosus after medical treatment. Results: A total of 593 infants met the inclusion criteria, and patent ductus arteriosus was diagnosed in 317 (53.4%). Among them, 283 (89.3%) infants had haemodynamically significant patent ductus arteriosus, with pharmacological closure achieved in 228 (80.6%) infants and surgical ligation performed in 20 (7.1%). Follow-up at 24 months was available for 39 (81.3%) of 48 infants with patent ductus arteriosus at the hospital discharge: 36 (92.3%) underwent spontaneous closure, two (5.1%) underwent surgical ligation, and one (2.6%) had a patent ductus arteriosus. Discussion: A significant number of patent ductus arteriosus that fail pharmacological closure undergo spontaneous closure by the age of 2 years. This information should be taken into account when considering surgery or additional attempts of pharmacological closure
Assessing and improving the measuring capability of the Etna_NETVIS camera network for lava flow rapid mapping
No full textRECKOn: A real-world, context-aware knowledge-based lab
No full textThe RECKON project focuses on interconnection technologies and context-aware data-analytics techniques to improve safety in workplaces, with the ultimate objective of identifying and preventing dangerous situations before accidents occur. In RECKON, prevention is interpreted through the latest monitoring, diagnostics and prognostics techniques from a safety perspective, allowing to detect and use, even in real time, a large amount of data about the entire operational context. Using sensor networks, we are able to collect information that is used in two ways: (i) when a potentially dangerous situation is detected, the system raises an alarm to prevent an accident, and (ii) whenever an accident or a near-miss (i.e., a potential accident that was narrowly averted) occurs, the related useful information is stored in a case report automatically generated and later used to update the accident-prevention politics. This work briefly describes the operational framework of RECKON, along with its modules and their interaction
Assessing and improving the measuring capability of the Etna_NETVIS camera network for lava flow rapid mapping
No full text- …
