Zobrazeno 1 - 10
of 303
pro vyhledávání: '"michele piana"'
Autor:
Davide Parodi, Edoardo Dighero, Giorgia Biddau, Francesca D’Amico, Matteo Bauckneht, Cecilia Marini, Sara Garbarino, Cristina Campi, Michele Piana, Gianmario Sambuceti
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Background Analysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Nevertheless, tumor lesions also contain inflammatory infiltrates who
Externí odkaz:
https://doaj.org/article/559de17b4a6043bd92939bf073511964
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract The analysis of the psoas muscle in morphological and functional imaging has proved to be an accurate approach to assess sarcopenia, i.e. a systemic loss of skeletal muscle mass and function that may be correlated to multifactorial etiologic
Externí odkaz:
https://doaj.org/article/cc59320bcbf24919862eed49db3b2f6a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Chemical reaction networks are powerful tools for modeling cell signaling and its disruptions in diseases like cancer. Realistic chemical reaction networks involve hundreds of proteins and reactions, resulting in a model depending on a consi
Externí odkaz:
https://doaj.org/article/3fc069b55c5242c894137aee35a635c0
Autor:
Davide Menga, Yan‐Sheng Li, Ana Marija Damjanović, Olivier Proux, Friedrich E. Wagner, Tim‐Patrick Fellinger, Hubert A. Gasteiger, Michele Piana
Publikováno v:
ChemElectroChem, Vol 11, Iss 18, Pp n/a-n/a (2024)
Abstract The stability of Fe−N−C oxygen reduction reaction (ORR) electrocatalysts has been considered a primary challenge for their practical application in proton exchange membrane fuel cells (PEMFCs). While several studies have attempted to rev
Externí odkaz:
https://doaj.org/article/f5242a6c30f745e0b69d48a897265b2f
Autor:
Matteo Bauckneht, Cecilia Marini, Vanessa Cossu, Cristina Campi, Mattia Riondato, Silvia Bruno, Anna Maria Orengo, Francesca Vitale, Sonia Carta, Silvia Chiola, Sabrina Chiesa, Alberto Miceli, Francesca D’Amico, Giuseppe Fornarini, Carlo Terrone, Michele Piana, Silvia Morbelli, Alessio Signori, Paola Barboro, Gianmario Sambuceti
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-12 (2023)
Abstract Background Positron Emission Tomography (PET) imaging with Prostate-Specific Membrane Antigen (PSMA) and Fluorodeoxyglucose (FDG) represent promising biomarkers for risk-stratification of Prostate Cancer (PCa). We verified whether the expres
Externí odkaz:
https://doaj.org/article/6cd832d06026417086a422455d891893
Autor:
Sabrina Guastavino, Michele Piana, Marco Tizzi, Federico Cassola, Antonio Iengo, Davide Sacchetti, Enrico Solazzo, Federico Benvenuto
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelligence algorithms. Within this latter framework, the most used
Externí odkaz:
https://doaj.org/article/1f16cd36b2fa4faf9e69fc9510fc64af
Autor:
Sara Sommariva, Silvia Berra, Giorgia Biddau, Giacomo Caviglia, Federico Benvenuto, Michele Piana
Publikováno v:
Frontiers in Systems Biology, Vol 3 (2023)
Introduction: Chemical reaction networks (CRNs) are powerful tools for describing the complex nature of cancer’s onset, progression, and therapy. The main reason for their effectiveness is in the fact that these networks can be rather naturally enc
Externí odkaz:
https://doaj.org/article/9aeaf1bd1ad3482384a2370e9f10206e
Autor:
Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, Fabiana Camattari, Gianluca Audone, Daniele Telloni, Roberto Susino, Gianalfredo Nicolini, Silvano Fineschi, Michele Piana, Anna Maria Massone
Publikováno v:
The Astrophysical Journal, Vol 971, Iss 1, p 94 (2024)
This study addresses the prediction of geomagnetic disturbances by exploiting machine learning techniques. Specifically, the Long Short-term Memory recurrent neural network, which is particularly suited for application over long time series, is emplo
Externí odkaz:
https://doaj.org/article/a975427f91e0457cb2d61e92e047c8c8
Autor:
Hamish A. S. Reid, Sophie Musset, Daniel F. Ryan, Vincenzo Andretta, Frédéric Auchère, Deborah Baker, Federico Benvenuto, Philippa Browning, Éric Buchlin, Ariadna Calcines Rosario, Steven D. Christe, Alain Jody Corso, Joel Dahlin, Silvia Dalla, Giulio Del Zanna, Carsten Denker, Jaroslav Dudík, Robertus Erdélyi, Ilaria Ermolli, Lyndsay Fletcher, Andrzej Fludra, Lucie M. Green, Mykola Gordovskyy, Salvo L. Guglielmino, Iain Hannah, Richard Harrison, Laura A. Hayes, Andrew R. Inglis, Natasha L. S. Jeffrey, Jana Kašparová, Graham S. Kerr, Christian Kintziger, Eduard P. Kontar, Säm Krucker, Timo Laitinen, Philippe Laurent, Olivier Limousin, David M. Long, Shane A. Maloney, Paolo Massa, Anna Maria Massone, Sarah Matthews, Tomasz Mrozek, Valery M. Nakariakov, Susanna Parenti, Michele Piana, Vanessa Polito, Melissa Pesce-Rollins, Paolo Romano, Alexis P. Rouillard, Clementina Sasso, Albert Y. Shih, Marek Stęślicki, David Orozco Suárez, Luca Teriaca, Meetu Verma, Astrid M. Veronig, Nicole Vilmer, Christian Vocks, Alexander Warmuth
Publikováno v:
Aerospace, Vol 10, Iss 12, p 1034 (2023)
Particle acceleration is a fundamental process arising in many astrophysical objects, including active galactic nuclei, black holes, neutron stars, gamma-ray bursts, accretion disks, solar and stellar coronae, and planetary magnetospheres. Its ubiqui
Externí odkaz:
https://doaj.org/article/7de951d7474e42deb96132d1967570a2
Autor:
Daniel F. Ryan, Sophie Musset, Hamish A. S. Reid, Säm Krucker, Andrea F. Battaglia, Eric Bréelle, Claude Chapron, Hannah Collier, Joel Dahlin, Carsten Denker, Ewan Dickson, Peter T. Gallagher, Iain Hannah, Natasha L. S. Jeffrey, Jana Kašparová, Eduard Kontar, Philippe Laurent, Shane A. Maloney, Paolo Massa, Anna Maria Massone, Tomasz Mrozek, Damien Pailot, Melody Pallu, Melissa Pesce-Rollins, Michele Piana, Illya Plotnikov, Alexis Rouillard, Albert Y. Shih, David Smith, Marek Steslicki, Muriel Z. Stiefel, Alexander Warmuth, Meetu Verma, Astrid Veronig, Nicole Vilmer, Christian Vocks, Anna Volpara
Publikováno v:
Aerospace, Vol 10, Iss 12, p 985 (2023)
Models of particle acceleration in solar eruptive events suggest that roughly equal energy may go into accelerating electrons and ions. However, while previous solar X-ray spectroscopic imagers have transformed our understanding of electron accelerat
Externí odkaz:
https://doaj.org/article/a69fad475823477987444259a129e62b