Zobrazeno 1 - 10
of 1 378
pro vyhledávání: '"Spallanzani A."'
Autor:
Bonacci, Miki, Qiao, Junfeng, Spallanzani, Nicola, Marrazzo, Antimo, Pizzi, Giovanni, Molinari, Elisa, Varsano, Daniele, Ferretti, Andrea, Prezzi, Deborah
Publikováno v:
npj Computational Materials volume 9, Article number: 74 (2023)
The automation of ab initio simulations is essential in view of performing high-throughput (HT) computational screenings oriented to the discovery of novel materials with desired physical properties. In this work, we propose algorithms and implementa
Externí odkaz:
http://arxiv.org/abs/2301.06407
Autor:
Ingolfsson, Thorir Mar, Vero, Mark, Wang, Xiaying, Lamberti, Lorenzo, Benini, Luca, Spallanzani, Matteo
The computational demands of neural architecture search (NAS) algorithms are usually directly proportional to the size of their target search spaces. Thus, limiting the search to high-quality subsets can greatly reduce the computational load of NAS a
Externí odkaz:
http://arxiv.org/abs/2204.14103
Autor:
Di Mauro, Alfio, Prasad, Arpan Suravi, Huang, Zhikai, Spallanzani, Matteo, Conti, Francesco, Benini, Luca
Event-based sensors are drawing increasing attention due to their high temporal resolution, low power consumption, and low bandwidth. To efficiently extract semantically meaningful information from sparse data streams produced by such sensors, we pre
Externí odkaz:
http://arxiv.org/abs/2204.10687
Training quantised neural networks (QNNs) is a non-differentiable optimisation problem since weights and features are output by piecewise constant functions. The standard solution is to apply the straight-through estimator (STE), using different func
Externí odkaz:
http://arxiv.org/abs/2203.11323
Efficient detection and description of geometric regions in images is a prerequisite in visual systems for localization and mapping. Such systems still rely on traditional hand-crafted methods for efficient generation of lightweight descriptors, a co
Externí odkaz:
http://arxiv.org/abs/2203.03610
Antivirals and monoclonal antibody combination therapy in haematological patients in the omicron era
Autor:
Serena Vita, Emanuela Giombini, Patrizia De Marco, Martina Rueca, Cesare Ernesto Maria Gruber, Alessia Beccacece, Laura Scorzolini, Valentina Mazzotta, Carmen Pinnetti, Priscilla Caputi, Daniele Focosi, Enrico Girardi, Andrea Antinori, Fabrizio Maggi, Alessandra D'Abramo, Emanuele Nicastri, Investigation Team Spallanzani COVID-19 case
Publikováno v:
Mediterranean Journal of Hematology and Infectious Diseases, Vol 16, Iss 1 (2024)
Abstract: Im We describe here a single-center case series of 27 IC COVID-19 inpatients (mostly with haematological disorders) treated with a combined therapy based on tixagevimab/cilgavimab (T/C) plus small-molecule antivirals (AV), between April 1 2
Externí odkaz:
https://doaj.org/article/30738854fff242a78d2283cc996ef5ee
Autor:
Herrera Kok, Johnn Henry, Marano, Luigi, van den Berg, Jan Willem, Shetty, Preethi, Vashist, Yogesh, Lorenzon, Laura, Rau, Beate, van Hillegersberg, Richard, de Manzoni, Giovanni, Spallanzani, Andrea, Seo, Won Jun, Nagata, Hiromi, Eveno, Clarisse, Mönig, Stefan, van der Sluis, Karen, Solaini, Leonardo, Wijnhoven, Bas PL., Puccetti, Francesco, Chevallay, Mickael, Lee, Eunju, D'Ugo, Domenico
Publikováno v:
In European Journal of Surgical Oncology July 2024 50(7)
Autor:
Wang, Gang, Muñoz-Rojas, Andrés R., Spallanzani, Raul German, Franklin, Ruth A., Benoist, Christophe, Mathis, Diane
Publikováno v:
In Immunity 11 June 2024 57(6):1345-1359
Autor:
Spallanzani, Marco
Publikováno v:
Journal of Glass Studies, 2023 Jan . 65, 303-307.
Externí odkaz:
https://www.jstor.org/stable/48750055
Publikováno v:
OncoTargets and Therapy, Vol Volume 16, Pp 995-1012 (2023)
Beatrice Riccò,* Giulio Martinelli,* Camilla Bardasi, Massimo Dominici, Andrea Spallanzani, Massimiliano Salati Department of Oncology and Hematology, University Hospital of Modena, Modena, Italy*These authors contributed equally to this
Externí odkaz:
https://doaj.org/article/ca0799c0204c4610a00e901784834dd0