Zobrazeno 81 - 90
of 14 341
pro vyhledávání: '"de Lorenzo, A."'
Autor:
Bittner, Adrian, Sánchez-Blázquez, Patricia, Gadotti, Dimitri A., Neumann, Justus, Fragkoudi, Francesca, Coelho, Paula, de Lorenzo-Cáceres, Adriana, Falcón-Barroso, Jesús, Kim, Taehyun, Leaman, Ryan, Martín-Navarro, Ignacio, Méndez-Abreu, Jairo, Pérez, Isabel, Querejeta, Miguel, Seidel, Marja K., van de Ven, Glenn
Publikováno v:
A&A 643, A65 (2020)
The centres of disc galaxies host a variety of structures built via both internal and external processes. In this study, we constrain the formation and evolution of these central structures, in particular nuclear rings and nuclear discs, by deriving
Externí odkaz:
http://arxiv.org/abs/2009.01856
Autor:
Paolo Pedrazzoli, Francesco De Lorenzo, Elisabetta Iannelli, Cristina Bosetti, Valentina Da Prat, Riccardo Caccialanza, Emanuele Cereda, Fortes Cristina, Alessandra Ferrari, Francesco Serra, Amanda Casirati, Sara Masi, Silvia Crotti, Lorenzo Perrone, Claudia Santucci, Caccialanza Riccardo, Cannizzaro Renato, Casalone Valentina, Cici Rosalisa, De Lorenzo Francesco, De Pergola Giovanni, Di Lauro Teresa, Gori Stefania, Ibrahim Toni, Longhi Alessandra, Mele Maria Cristina, Mele Roberto, Montemurro Filippo, Nardi Maria Teresa, Pedrazzoli Paolo, Pezzuolo Debora, Pinto Carmine, Pignata Sandro, Pozzo Carmelo, Sanchez Mete Lupe, Serra Patrizia, Sukkar Samir Guseppe, Tonello Marco, Zagonel Vittorina
Publikováno v:
BMJ Open, Vol 13, Iss 8 (2023)
Background Malnutrition is a frequent problem in oncology and is associated with reduced response to cancer treatments, increased drug-related toxicity, higher rates of clinical complications, reduced quality of life (QoL) and worse prognosis. Guidel
Externí odkaz:
https://doaj.org/article/d02cf93987f641e18c0f9ba3f1804022
Autor:
de Lorenzo, Victor1 (AUTHOR) vdlorenzo@cnb.csic.es
Publikováno v:
PLoS Biology. 2/8/2024, Vol. 22 Issue 2, p1-4. 4p.
Autor:
De Lorenzo, Antonino1 (AUTHOR) delorenzo@uniroma2.it, Itani, Leila2 (AUTHOR) l.itani@bau.edu.lb, Gualtieri, Paola1 (AUTHOR) paola.gualtieri@uniroma2.it, Pellegrini, Massimo3 (AUTHOR) massimop@unimore.it, El Ghoch, Marwan3 (AUTHOR) m.elghoch@unimore.it, Di Renzo, Laura1 (AUTHOR) laura.di.renzo@uniroma2.it
Publikováno v:
Life (2075-1729). Jan2024, Vol. 14 Issue 1, p21. 9p.
Autor:
Stavropoulou De Lorenzo, Sotiria1 (AUTHOR) iradel7714@gmail.com, Bakirtzis, Christos1 (AUTHOR) cbakirtzis@auth.gr, Konstantinidou, Natalia1 (AUTHOR) kesidoue@auth.gr, Kesidou, Evangelia1 (AUTHOR) dparisis@auth.gr, Parissis, Dimitrios1 (AUTHOR) ngrigoriadis@auth.gr, Evangelopoulos, Maria Eleptheria2 (AUTHOR) evangelopme@med.uoa.gr, Elsayed, Dina3 (AUTHOR) dr.dina237@gmail.com, Hamdy, Eman3 (AUTHOR) eman.ameen@alexmed.edu.eg, Said, Sameh3 (AUTHOR) drsamsaids@gmail.com, Grigoriadis, Nikolaos1 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Jan2024, Vol. 13 Issue 1, p214. 17p.
Autor:
Kim, Juhyun1 (AUTHOR), de Lorenzo, Víctor2 (AUTHOR), Goñi‐Moreno, Ángel3 (AUTHOR) angel.goni@upm.es
Publikováno v:
Environmental Microbiology Reports. Dec2023, Vol. 15 Issue 6, p708-715. 8p.
Autor:
Federica Cugnata, Maria Giovanna Scarale, Rebecca De Lorenzo, Marco Simonini, Lorena Citterio, Patrizia Rovere Querini, Antonella Castagna, Clelia Di Serio, Chiara Lanzani
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract A full understanding of the characteristics of Covid-19 patients with a better chance of experiencing poor vital outcomes is critical for implementing accurate and precise treatments. In this paper, two different advanced data-driven statist
Externí odkaz:
https://doaj.org/article/a311dc3830d14ae1b734c7a168369971
Autor:
Held, Martin, de Lorenzo, Stefan
We present a simple wavefront-like approach for computing multiplicatively weighted Voronoi diagrams of points and straight-line segments in the Euclidean plane. If the input sites may be assumed to be randomly weighted points then the use of a so-ca
Externí odkaz:
http://arxiv.org/abs/2006.14298
Many risk-sensitive applications require Machine Learning (ML) models to be interpretable. Attempts to obtain interpretable models typically rely on tuning, by trial-and-error, hyper-parameters of model complexity that are only loosely related to int
Externí odkaz:
http://arxiv.org/abs/2004.11170