Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Stefano Grassi"'
Autor:
Albino Eccher, Davide Seminati, Vincenzo L’Imperio, Gabriele Casati, Daniela Pilla, Umberto Malapelle, Isabella Piga, Greta Bindi, Alessandro Marando, Emanuela Bonoldi, Emanuele Dainese, Mattia Riefolo, Antonia D’Errico, Matteo Costantini, Alberto Lugli, Stefano Grassi, Aldo Scarpa, Angelo Paolo Dei Tos, Fabio Pagni
Publikováno v:
Journal of Personalized Medicine, Vol 14, Iss 4, p 333 (2024)
In the molecular era, proper archival conditions within pathology laboratories are crucial, especially for formalin-fixed paraffin-embedded (FFPE) tissue specimens retrieved years after the original diagnosis. Indeed, improper preservation can impact
Externí odkaz:
https://doaj.org/article/48aba7221643418e94ffc59426116257
Autor:
Valeria Fumagalli, Pietro Di Lucia, Micol Ravà, Davide Marotta, Elisa Bono, Stefano Grassi, Lorena Donnici, Rolando Cannalire, Irina Stefanelli, Anastasia Ferraro, Francesca Esposito, Elena Pariani, Donato Inverso, Camilla Montesano, Serena Delbue, Stanley Perlman, Enzo Tramontano, Raffaele De Francesco, Vincenzo Summa, Luca G Guidotti, Matteo Iannacone
Publikováno v:
EMBO Molecular Medicine, Vol 15, Iss 5, Pp n/a-n/a (2023)
Abstract Alongside vaccines, antiviral drugs are becoming an integral part of our response to the SARS‐CoV‐2 pandemic. Nirmatrelvir—an orally available inhibitor of the 3‐chymotrypsin‐like cysteine protease—has been shown to reduce the ri
Externí odkaz:
https://doaj.org/article/af6a4cf2e9764395b79666f9ed74a291
Autor:
Angela Genchi, Aurora Semerano, Ghil Schwarz, Beatrice Dell’Acqua, Giorgia Serena Gullotta, Michela Sampaolo, Enzo Boeri, Angelo Quattrini, Francesca Sanvito, Susanna Diamanti, Andrea Bergamaschi, Stefano Grassi, Paola Podini, Pietro Panni, Caterina Michelozzi, Franco Simionato, Francesco Scomazzoni, Paolo Remida, Luca Valvassori, Andrea Falini, Carlo Ferrarese, Patrik Michel, Guillaume Saliou, Steven Hajdu, Simone Beretta, Luisa Roveri, Massimo Filippi, Davide Strambo, Gianvito Martino, Marco Bacigaluppi
Publikováno v:
Acta Neuropathologica Communications, Vol 10, Iss 1, Pp 1-13 (2022)
Abstract Coronavirus disease 2019 (COVID-19) is associated with an increased risk of thrombotic events. Ischemic stroke in COVID-19 patients entails high severity and mortality rates. Here we aimed to analyze cerebral thrombi of COVID-19 patients wit
Externí odkaz:
https://doaj.org/article/0e50d475d0ca431b91f15a7675227609
Publikováno v:
Journal of Statistical Software, Vol 79, Iss 1, Pp 1-40 (2017)
This paper presents the R package MitISEM (mixture of t by importance sampling weighted expectation maximization) which provides an automatic and flexible two-stage method to approximate a non-elliptical target density kernel - typically a posterior
Externí odkaz:
https://doaj.org/article/174bec722c8d4a58a5241b4d6b2ae20c
Publikováno v:
Journal of Statistical Software, Vol 68, Iss 1, Pp 1-30 (2015)
This paper presents the MATLAB package DeCo (density combination) which is based on the paper by Billio, Casarin, Ravazzolo, and van Dijk (2013) where a constructive Bayesian approach is presented for combining predictive densities originating from d
Externí odkaz:
https://doaj.org/article/c497288b5456402fb1e7f948a20bb94d
Autor:
Athina Korfiati, Charalampos Gkonos, Fabio Veronesi, Ariadni Gaki, Stefano Grassi, Roland Schenkel, Stephan Volkwein, Martin Raubal, Lorenz Hurni
Publikováno v:
International Journal of Sustainable Energy Planning and Management, Vol 9 (2016)
There is an increasing demand for renewable electricity sources, due to the global efforts to reduce CO2 emissions. Despite the promising effects, only a limited amount of electricity is currently produced globally from solar power. In order to help
Externí odkaz:
https://doaj.org/article/b99f05f341824448b80bf175797276b3
Publikováno v:
Econometrics, Vol 4, Iss 1, p 11 (2016)
This paper presents the parallel computing implementation of the MitISEM algorithm, labeled Parallel MitISEM. The basic MitISEM algorithm provides an automatic and flexible method to approximate a non-elliptical target density using adaptive mixtures
Externí odkaz:
https://doaj.org/article/ba22d8be6eb14cfca5974afd046e0359
Autor:
Valeria Fumagalli, Pietro Di Lucia, Micol Ravà, Davide Marotta, Elisa Bono, Stefano Grassi, Lorena Donnici, Rolando Cannalire, Irina Stefanelli, Anastasia Ferraro, Francesca Esposito, Elena Pariani, Donato Inverso, Camilla Montesano, Serena Delbue, Stanley Perlman, Enzo Tramontano, Raffaele De Francesco, Vincenzo Summa, Luca G. Guidotti, Matteo Iannacone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed11ebae8bf1512578a581e335df22cc
https://doi.org/10.15252/rc.2023057660
https://doi.org/10.15252/rc.2023057660
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of Forecasting
This paper uses a new textual data index for predicting stock market data. The index is applied to a large set of news to evaluate the importance of one or more general economic-related keywords appearing in the text. The index assesses the importanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff780a1716e5ce4a549e9ffda4d5ab64
https://hdl.handle.net/11391/1537216
https://hdl.handle.net/11391/1537216