Zobrazeno 1 - 10
of 5 161
pro vyhledávání: '"A. Rizzello"'
Autor:
Marina Martello, Vincenza Solli, Gaia Mazzocchetti, Antonio Giovanni Solimando, Davide Bezzi, Barbara Taurisano, Ajsi Kanapari, Andrea Poletti, Enrica Borsi, Silvia Armuzzi, Ilaria Vigliotta, Ignazia Pistis, Vanessa Desantis, Giulia Marzocchi, Ilaria Rizzello, Lucia Pantani, Katia Mancuso, Paola Tacchetti, Nicoletta Testoni, Cristina Nanni, Elena Zamagni, Michele Cavo, Carolina Terragna
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Multiple myeloma (MM) is a plasma cell (PC) disorder characterized by skeletal involvement at the time of diagnosis. Recently, cell-free DNA (cfDNA) has been proven to recapitulate the heterogeneity of bone marrow (BM) disease. Our aim was t
Externí odkaz:
https://doaj.org/article/eaa37328df0f4ab996b97af02aa06e5b
Shape Memory Alloys (SMAs) are a class of smart materials that exhibit a macroscopic contraction of up to 5% when heated via an electric current. This effect can be exploited for the development of novel unconventional actuators. Despite having many
Externí odkaz:
http://arxiv.org/abs/2305.13928
This work aims to predict channels in wireless communication systems based on noisy observations, utilizing sequence-to-sequence models with attention (Seq2Seq-attn) and transformer models. Both models are adapted from natural language processing to
Externí odkaz:
http://arxiv.org/abs/2302.00341
Autor:
K. Mancuso, R. Mina, S. Rocchi, E. Antonioli, M. T. Petrucci, F. Fazio, A. Gozzetti, M. Salvini, C. S. Cartia, G. Bertuglia, F. Patriarca, A. B. Dalla Palma, S. Barbato, G. De Cicco, F. Bigi, E. Favero, P. Tacchetti, L. Pantani, I. Rizzello, M. Puppi, M. Talarico, V. Solli, A. Kanapari, M. Cavo, E. Zamagni
Publikováno v:
Cancer Medicine, Vol 13, Iss 22, Pp n/a-n/a (2024)
ABSTRACT Introduction MGRS are new rare clinical entities, whose recognition and optimal management is evolving. Methods To implement real‐life data, we retrospectively analysed a multicentre cohort of 60 patients with renal biopsy‐proven MGRS re
Externí odkaz:
https://doaj.org/article/0ce5afe23e09445b8e48ac9c3fd5af9d
Autor:
Laura Melotti, Matteo Rinaldi, Marco Salice, Nikolas K. Dussias, Nicholas Vanigli, Carlo Calabrese, Eleonora Scaioli, Liliana Gabrielli, Tiziana Lazzarotto, Francesca Rosini, Pierluigi Viale, Paolo Gionchetti, Maddalena Giannella, Fernando Rizzello
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 11 (2024)
ABSTRACT Cytomegalovirus (CMV) colitis is a serious concern worsening the prognosis of patients with ulcerative colitis (UC). We aimed to assess risk factors and prognostic impact of CMV colitis in patients with moderate-to-severe UC flare. We conduc
Externí odkaz:
https://doaj.org/article/31faf22bf0824a8b9e108927eeac0f7f
Autor:
Hoffmann, Matthias K., Heib, Lennart, Rizzello, Gianluca, Moretti, Giacomo, Flaßkamp, Kathrin
This contribution deals with multi-objective model-predictive control (MPC) of a wave energy converter (WEC) device concept, which can harvest energy from sea waves using a dielectric elastomer generator (DEG) power take-off system. We aim to maximis
Externí odkaz:
http://arxiv.org/abs/2212.03511
One way to improve the estimation of time varying channels is to incorporate knowledge of previous observations. In this context, Dynamical VAEs (DVAEs) build a promising deep learning (DL) framework which is well suited to learn the distribution of
Externí odkaz:
http://arxiv.org/abs/2210.17177
In this work, we propose an efficient method for channel state information (CSI) adaptive quantization and feedback in frequency division duplexing (FDD) systems. Existing works mainly focus on the implementation of autoencoder (AE) neural networks (
Externí odkaz:
http://arxiv.org/abs/2207.06924
To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink channel state information (CSI) is required at the base station (BS). In frequency division duplex (FDD) systems, the CSI is acquired through a feedback signal f
Externí odkaz:
http://arxiv.org/abs/2204.04723
Autor:
Stringari, Alessandro, Polo, Andrea, Rizzello, Carlo Giuseppe, Arora, Kashika, Racinelli, Federica, Ampollini, Marco, Gobbetti, Marco, Di Cagno, Raffaella
Publikováno v:
In New BIOTECHNOLOGY 25 December 2024 84:140-150