Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Pasquale Gaudio"'
Autor:
Andrea Murari, Michela Gelfusa, Teddy Craciunescu, Claudio Gelfusa, Pasquale Gaudio, Gianluigi Bovesecchi, Riccardo Rossi
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
The coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), broke out in December 2019 in Wuhan city, in the Hubei province of China. Since then, it has spread practically all over the world, d
Externí odkaz:
https://doaj.org/article/88dc82c9110341d4a80b0c9bc43f2206
Autor:
Francesca Bonfigli, Sabina Botti, Maria Aurora Vincenti, Rosa Maria Montereali, Alessandro Rufoloni, Pasquale Gaudio, Riccardo Rossi
Publikováno v:
Condensed Matter, Vol 8, Iss 4, p 103 (2023)
Lithium fluoride (LiF) film detectors for extreme ultraviolet radiation, soft and hard X-rays, based on the photoluminescence of radiation-induced electronic defects, have been proposed and are currently under further development and investigation. L
Externí odkaz:
https://doaj.org/article/d7e586250fad45129b950d797be9a244
Publikováno v:
Journal of Infection and Public Health, Vol 14, Iss 1, Pp 123-130 (2021)
Background: The aim of this research is to assess the predictive accuracy of the Infectious Diseases Seeker (IDS) – an innovative tool for prompt identification of the causative agent of infectious diseases during outbreaks – when field epidemiol
Externí odkaz:
https://doaj.org/article/7ea3dd9c0efb49d5be64b8f92a896d24
Publikováno v:
SoftwareX, Vol 15, Iss , Pp 100773- (2021)
The analysis of causality between systems is still an important research activity, which finds application in several fields of science. The software presented is a new tool for causality detection and analysis between time series. The proposed techn
Externí odkaz:
https://doaj.org/article/9fbd13cfdae44202a5b8243220a8773e
Autor:
Riccardo Rossi, Silvia Cesaroni, Francesca Bombarda, Pasquale Gaudio, Michela Gelfusa, Marco Marinelli, Gianluca Verona Rinati, Emmanuele Peluso, JET Contributors
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3681 (2022)
The high confinement mode (H-mode) is considered the optimal regime for the production of energy through nuclear fusion for industrial purposes since it allows to increase the energy confinement time of the plasma roughly by a factor of two. Conseque
Externí odkaz:
https://doaj.org/article/fc15cc4a320a40f98d9264e4b133f447
Autor:
Fabio Marturano, Luca Martellucci, Andrea Chierici, Andrea Malizia, Daniele Di Giovanni, Francesco d’Errico, Pasquale Gaudio, Jean-Franҫois Ciparisse
Publikováno v:
Drones, Vol 5, Iss 3, p 69 (2021)
The risk associated with chemical, biological, radiological, nuclear, and explosive (CBRNe) threats in the last two decades has grown as a result of easier access to hazardous materials and agents, potentially increasing the chance for dangerous even
Externí odkaz:
https://doaj.org/article/53d72825809d49aaaf8203ce8f20c9ba
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 434 (2021)
Laser-based methods are widely used techniques for thermonuclear plasma diagnostics, since they can probe the internal of the plasma, being contactless and non-invasive. The interferometer, the polarimeter and Thomson scattering are the most widespre
Externí odkaz:
https://doaj.org/article/1fd06842929444eebb24e4ad73540157
Publikováno v:
Entropy, Vol 22, Iss 5, p 584 (2020)
Determining the coupling between systems remains a topic of active research in the field of complex science. Identifying the proper causal influences in time series can already be very challenging in the trivariate case, particularly when the interac
Externí odkaz:
https://doaj.org/article/be002573efa24309bfae42faaa751bd0
Publikováno v:
Entropy, Vol 22, Iss 4, p 447 (2020)
The Bayesian information criterion (BIC), the Akaike information criterion (AIC), and some other indicators derived from them are widely used for model selection. In their original form, they contain the likelihood of the data given the models. Unfor
Externí odkaz:
https://doaj.org/article/028219845b2e4d73a7b2c32741c7d581
Autor:
Fabio Marturano, Jean-François Ciparisse, Andrea Chierici, Francesco d’Errico, Daniele Di Giovanni, Francesca Fumian, Riccardo Rossi, Luca Martellucci, Pasquale Gaudio, Andrea Malizia
Publikováno v:
Sensors, Vol 20, Iss 6, p 1770 (2020)
This study addresses the optimization of the location of a radioactive-particle sensor on a drone. Based on the analysis of the physical process and of the boundary conditions introduced in the model, computational fluid dynamics simulations were per
Externí odkaz:
https://doaj.org/article/748a4382bec04d779e79b2f8dd008bc4