Zobrazeno 1 - 10
of 2 263
pro vyhledávání: '"Sorgente A"'
Autor:
Terwangne Christophe de, Sorgente Antonio, Tortora Redente, Cheung Diana, Duprez Frederic, Place Sammy, Lechien Jerome R., Capulzini Lucio, Cubber Michael De, Saussez Sven, Taccone Fabio Silvio, Mashayekhi Shahram
Publikováno v:
The Journal of Critical Care Medicine, Vol 7, Iss 1, Pp 21-27 (2021)
The objective of the study was to assess mortality rates in COVID-19 patients suffering from acute respiratory distress syndrome (ARDS) who also requiring mechanical ventilation. The predictors of mortality in this cohort were analysed, and the clini
Externí odkaz:
https://doaj.org/article/cf865c5e7b2f420991f140da9a268d05
Autor:
Sorgente, Tommaso, Berrone, Stefano, Biasotti, Silvia, Manzini, Gianmarco, Spagnuolo, Michela, Vicini, Fabio
We present an optimization procedure for generic polygonal or polyhedral meshes, tailored for the Virtual Element Method (VEM). Once the local quality of the mesh elements is analyzed through a quality indicator specific to the VEM, groups of element
Externí odkaz:
http://arxiv.org/abs/2404.11484
Autor:
Sorgente A, Cappato R
Publikováno v:
Research Reports in Clinical Cardiology, Vol 2015, Iss default, Pp 153-157 (2015)
Antonio Sorgente,1 Riccardo Cappato2 1Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates; 2Arrhythmia and Electrophysiology Research Center, IRCCS Humanitas Clinical and Research Center, Rozzano, Milan, Italy Ab
Externí odkaz:
https://doaj.org/article/5e690ada97fa440c93e23395f2557729
In social network analysis, the size of the k-core, i.e., the maximal induced subgraph of the network with minimum degree at least k, is frequently adopted as a typical metric to evaluate the cohesiveness of a community. We address the Collapsed k-Co
Externí odkaz:
http://arxiv.org/abs/2211.14833
Autor:
Roberto Sorgente, Federica Pessini, Aldo Francis Drago, Alberto Ribotti, Simona Genovese, Marco Barra, Angelo Perilli, Giovanni Quattrocchi, Andrea Cucco, Ignazio Fontana, Giovanni Giacalone, Gualtiero Basilone, Antonia Di Maio, Angelo Esposito, Angelo Bonanno
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The interannual variability of the physical properties of the shelf waters in Sardinia, western Mediterranean Sea, is studied by using hydrological data gathered during three oceanographic cruises: two in late summer of 2019 and 2021 respectively and
Externí odkaz:
https://doaj.org/article/bcc9680226ae4724b117e3ceaf39bb13
Autor:
Sorgente, Tommaso, Vicini, Fabio, Berrone, Stefano, Biasotti, Silvia, Manzini, Gianmarco, Spagnuolo, Michela
We propose a quality-based optimization strategy to reduce the total number of degrees of freedom associated to a discrete problem defined over a polygonal tessellation with the Virtual Element Method. The presented Quality Agglomeration algorithm re
Externí odkaz:
http://arxiv.org/abs/2208.09639
Autor:
Paul‐Adrian Călburean, Luigi Pannone, Cinzia Monaco, Domenico Della Rocca, Antonio Sorgente, Alexandre Almorad, Gezim Bala, Filippo Aglietti, Robbert Ramak, Ingrid Overeinder, Erwin Ströker, Gudrun Pappaert, Marius Măru’teri, Marius Harpa, Mark La Meir, Pedro Brugada, Juan Sieira, Andrea Sarkozy, Gian‐Battista Chierchia, Carlo de Asmundis
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 10 (2024)
Background Brugada syndrome (BrS) has been associated with sudden cardiac death in otherwise healthy subjects, and drug‐induced BrS accounts for 55% to 70% of all patients with BrS. This study aims to develop a deep convolutional neural network and
Externí odkaz:
https://doaj.org/article/46260e4e9a2e4e71b5c2609a5d3c3113
Publikováno v:
Frontiers in Behavioral Economics, Vol 3 (2024)
IntroductionSocially responsible investments (SRI) increased their popularity among investors over the last two decades. However, there is still a lack of knowledge on socially responsible investors' characteristics and motivations behind the decisio
Externí odkaz:
https://doaj.org/article/242dfc05da83435aa9688d4b26d2e703
The geometric kernel (or simply the kernel) of a polyhedron is the set of points from which the whole polyhedron is visible. Whilst the computation of the kernel for a polygon has been largely addressed in the literature, fewer methods have been prop
Externí odkaz:
http://arxiv.org/abs/2202.06625
We present the design of a mesh quality indicator that can predict the behavior of the Virtual Element Method (VEM) on a given mesh family or finite sequence of polyhedral meshes (dataset). The mesh quality indicator is designed to measure the violat
Externí odkaz:
http://arxiv.org/abs/2112.11365