Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Stefano, Zapperi"'
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionSocio-economic background is often an important determinant for health with low income households having higher exposure to risk factors and diminished access to healthcare and prevention, in a way that is specific to each country.Methods
Externí odkaz:
https://doaj.org/article/5f77f2789d2e4766b48c3c8b6950dc58
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Microclimate is a complex non-linear phenomenon influenced by both global and local processes. Its understanding holds a pivotal role in the management of natural resources and the optimization of agricultural procedures. This phenomenon can
Externí odkaz:
https://doaj.org/article/a1856f9f1be24763a0fd7fdbc4b2f680
Autor:
Mario Cioce, Maria Rita Fumagalli, Sara Donzelli, Frauke Goeman, Valeria Canu, Daniela Rutigliano, Giulia Orlandi, Andrea Sacconi, Claudio Pulito, Alina Catalina Palcau, Maurizio Fanciulli, Aldo Morrone, Maria Grazia Diodoro, Marco Caricato, Anna Crescenzi, Martina Verri, Vito Michele Fazio, Stefano Zapperi, Massimo Levrero, Sabrina Strano, Gian Luca Grazi, Caterina La Porta, Giovanni Blandino
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 42, Iss 1, Pp 1-22 (2023)
Abstract Background Approximately 20–50% of patients presenting with localized colorectal cancer progress to stage IV metastatic disease (mCRC) following initial treatment and this is a major prognostic determinant. Here, we have interrogated a het
Externí odkaz:
https://doaj.org/article/a12078091db24f6e823473565b12efbf
Autor:
Silvia Bonfanti, Roberto Guerra, Rene Alvarez-Donado, Paweł Sobkowicz, Stefano Zapperi, Mikko Alava
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013146 (2024)
High entropy alloys (HEAs) are designed by mixing multiple metallic species in nearly the same amount to obtain crystalline or amorphous materials with exceptional mechanical properties. Here we use molecular dynamics simulations to investigate the r
Externí odkaz:
https://doaj.org/article/e705da34e0174526b1ce58b6efa10f32
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Triple-negative breast cancer (TNBC) accounts for about 15–20% of all breast cancers and differs from other invasive breast cancer types because it grows and spreads rapidly, it has limited treatment options and typically worse prognosis.
Externí odkaz:
https://doaj.org/article/51276c48cb3b455fb2de7cbb043b58a6
Autor:
Francesc Font-Clos, Marco Zanchi, Stefan Hiemer, Silvia Bonfanti, Roberto Guerra, Michael Zaiser, Stefano Zapperi
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
The sheer number of parameters in deep learning makes the physical interpretation of failure predictions in glasses challenging. Here the authors use Grad-CAM to reveal the role of topological defects and local potential energies in failure predictio
Externí odkaz:
https://doaj.org/article/17265f6b4dce47ecac8a5d2be14f0e18
Autor:
Sara Donzelli, Francesca Spinella, Enea Gino di Domenico, Martina Pontone, Ilaria Cavallo, Giulia Orlandi, Stefania Iannazzo, Giulio Maria Ricciuto, ISG Virology Covid Team, Raul Pellini, Paola Muti, Sabrina Strano, Gennaro Ciliberto, Fabrizio Ensoli, Stefano Zapperi, Caterina A.M. La Porta, Giovanni Blandino, Aldo Morrone, Fulvia Pimpinelli
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 733-744 (2022)
Objectives: Despite extensive efforts to monitor the diffusion of COVID-19, the actual wave of infection is worldwide characterized by the presence of emerging SARS-CoV-2 variants. The present study aims to describe the presence of yet undiscovered S
Externí odkaz:
https://doaj.org/article/be046029ef294727aa78f57384c97b69
Autor:
Maria Rita Fumagalli, Stella Maria Saro, Matteo Tajana, Stefano Zapperi, Caterina A.M. La Porta
Publikováno v:
iScience, Vol 26, Iss 1, Pp 105868- (2023)
Summary: The metabolic activity of all the micro-organism composing the human microbiome interacts with the host metabolism contributing to human health and disease in a way that is not fully understood. Here, we introduce STELLA, a computational met
Externí odkaz:
https://doaj.org/article/34049c4479f44e0fa3426814a7319898
Autor:
Marco Zanchi, Stefano Zapperi, Chiara Zanotti, Marco Rotiroti, Tullia Bonomi, Stefano Gomarasca, Stefano Bocchi, Caterina A.M. La Porta
Publikováno v:
Heliyon, Vol 8, Iss 12, Pp e12435- (2022)
Time-dependent geolocalized analysis of pollution data allows to better understand their dynamics over time and could suggest strategies to restore a good ecological status of contaminated area. This research analyzes concentrations of pollutants in
Externí odkaz:
https://doaj.org/article/5607e7b6e6494f75b64aff565bd1ceeb
Publikováno v:
Forces in Mechanics, Vol 9, Iss , Pp 100141- (2022)
Spatial and temporal features are studied with respect to their predictive value for failure time prediction in subcritical failure with machine learning (ML). Data are generated from simulations of a novel, brittle random fuse model (RFM), as well a
Externí odkaz:
https://doaj.org/article/b22ea8f1bedd441d8a0dca0200aaa57a