Zobrazeno 1 - 10
of 2 078
pro vyhledávání: '"P. Del Gaudio"'
Machine learning's influence is expanding rapidly, now integral to decision-making processes from corporate strategy to the advancements in Industry 4.0. The efficacy of Artificial Intelligence broadly hinges on the caliber of data used during its tr
Externí odkaz:
http://arxiv.org/abs/2404.18681
Autor:
R. De Ritis, A. Nardi, V. Materni, A. Venuti, P. Stefanelli, G. Rotella, V. Sapia, E. Carpentieri, C. Tolomei, R. Civico, M. Coltorti, T. Nanni, A. Argentieri, P. Del Gaudio, M. Chiappini
Publikováno v:
Earth and Space Science, Vol 7, Iss 7, Pp n/a-n/a (2020)
Abstract We present the results of a combined analysis of remote sensing and geophysical‐geotechnical data carried out in the Acque Albule Basin, a sinkhole prone area located close to the city of Roma, where a wide travertine wedge is present. We
Externí odkaz:
https://doaj.org/article/ed81df94c182471f97bc05df74b1c3ce
Publikováno v:
Clinical Epigenetics, Vol 16, Iss 1, Pp 1-4 (2024)
Abstract Gene expression is an intricate biological process that bridges gap between the genotype and the phenotype. Canonical and hereditable epigenetic mechanisms, such as histone and DNA modifications, regulate the release of genetic information e
Externí odkaz:
https://doaj.org/article/a3c1e332af5f46608acfc61505896699
Autor:
Vestuto V, Conte M, Vietri M, Mensitieri F, Santoro V, Di Muro A, Alfieri M, Moros M, Miranda MR, Amante C, Delli Carri M, Campiglia P, Dal Piaz F, Del Gaudio P, De Tommasi N, Leone A, Moltedo O, Pepe G, Cappetta E, Ambrosone A
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 9373-9393 (2024)
Vincenzo Vestuto,1,* Marisa Conte,1,* Mariapia Vietri,1,* Francesca Mensitieri,2 Valentina Santoro,1,3 Anna Di Muro,1 Mariaevelina Alfieri,4 Maria Moros,5,6 Maria Rosaria Miranda,1,3 Chiara Amante,1 Matteo Delli Carri,1 Pietro Campiglia,1
Externí odkaz:
https://doaj.org/article/623c680f1ad140e9bbedc3ca375259c4
Autor:
Chiara Papulino, Ugo Chianese, Ahmad Ali, Gregorio Favale, Concetta Tuccillo, Fortunato Ciardiello, Annabella Di Mauro, Chiara Mignogna, Gerardo Ferrara, Alfredo Budillon, Wouter Leonard Megchelenbrink, Nunzio Del Gaudio, Mariarosaria Conte, Fabrizio Merciai, Pietro Campiglia, Lucia Altucci, Vincenzo Carafa, Eduardo Sommella, Rosaria Benedetti
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Background Breast cancer manifests as a heterogeneous pathology marked by complex metabolic reprogramming essential to satisfy its energy demands. Oncogenic signals boost the metabolism, modifying fatty acid synthesis and glucose use from th
Externí odkaz:
https://doaj.org/article/e1c9da9a03da4c08b5e34b1d243a2230
Autor:
Antonio Fuggi, Simone Re, Giorgio Tango, Sergio Del Gaudio, Alessandro Brovelli, Giorgio Cassiani
Publikováno v:
Earthquake Science, Vol 37, Iss 5, Pp 415-433 (2024)
The ability to estimate earthquake source locations, along with the appraisal of relevant uncertainties, is paramount in monitoring both natural and human-induced micro-seismicity. For this purpose, a monitoring network must be designed to minimize t
Externí odkaz:
https://doaj.org/article/aa5447066f504240aff45b518ee08116
Publikováno v:
Chemical Engineering Transactions, Vol 60 (2017)
This study reports the development of a one-step method for the production of thin film coatings made with metal oxide nanoparticles. An aerosol flame synthesis system is used to produce monodisperse, ultra-fine nanoparticles of different metal oxide
Externí odkaz:
https://doaj.org/article/09cdba117dad43208a64e2c920fdd84f
Nowadays, machine learning plays a key role in developing plenty of applications, e.g., smart homes, smart medical assistance, and autonomous driving. A major challenge of these applications is preserving high quality of the training and the serving
Externí odkaz:
http://arxiv.org/abs/2302.04726
Autor:
Stefano Gabetti, Beatrice Masante, Alessandro Schiavi, Elisa Scatena, Eleonora Zenobi, Simone Israel, Alessandro Sanginario, Costantino Del Gaudio, Alberto Audenino, Umberto Morbiducci, Diana Massai
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Intrinsic permeability describes the ability of a porous medium to be penetrated by a fluid. Considering porous scaffolds for tissue engineering (TE) applications, this macroscopic variable can strongly influence the transport of oxygen and
Externí odkaz:
https://doaj.org/article/a56a8054b6644d5fbf69528c5be2554d
Autor:
Giovanni Falcone, Stefan Schrüfer, Sonja Kuth, Pierluigi Mazzei, Salvatore De Pasquale, Pasquale Del Gaudio, Rita P. Aquino, Aldo R. Boccaccini, Paola Russo
Publikováno v:
Carbohydrate Polymer Technologies and Applications, Vol 7, Iss , Pp 100524- (2024)
Studies about the use of different divalent cations to produce 3D printed scaffolds are almost limited to their application as secondary crosslinking agents after the printing of alginate. For this reason, this research aims to demonstrate the possib
Externí odkaz:
https://doaj.org/article/bc937d55420b4d5cbec19f178a510360