Zobrazeno 1 - 10
of 2 094
pro vyhledávání: '"Trunfio A"'
In the digital era, the prevalence of depressive symptoms expressed on social media has raised serious concerns, necessitating advanced methodologies for timely detection. This paper addresses the challenge of interpretable depression detection by pr
Externí odkaz:
http://arxiv.org/abs/2401.17477
Autor:
Antonio Saverio Valente, Teresa Angela Trunfio, Marco Aiello, Dario Baldi, Marilena Baldi, Silvio Imbò, Mario Alessandro Russo, Carlo Cavaliere, Monica Franzese
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 622-629 (2024)
MRI radiology reporting processes can be improved by exploiting structured and semantically labelled data that can be fed to artificial intelligence (AI) tools. AI-based tools assisting radiology reporting can help to automatically individuate cartil
Externí odkaz:
https://doaj.org/article/0fc1327a83a84c84b72c273103822951
Autor:
Damiano Currado, Francesca Saracino, Piero Ruscitti, Annalisa Marino, Ilenia Pantano, Marta Vomero, Onorina Berardicurti, Viktoriya Pavlych, Claudio Di Vico, Francesco Caso, Luisa Costa, Marco Tasso, Federica Camarda, Francesca Misceo, Francesco De Vincenzo, Addolorata Corrado, Luisa Arcarese, Amelia Rigon, Marta Vadacca, Erika Corberi, Lyubomyra Kun, Francesca Trunfio, Andrea Pilato, Ludovica Lamberti, Francesco Paolo Cantatore, Federico Perosa, Giuliana Guggino, Raffaele Scarpa, Paola Cipriani, Francesco Ciccia, Roberto Giacomelli, Luca Navarini
Publikováno v:
Arthritis Research & Therapy, Vol 26, Iss 1, Pp 1-9 (2024)
Abstract Background Chronic pain and inflammation are common features of rheumatic conditions such as Psoriatic Arthritis (PsA) and Axial Spondyloarthritis (axSpA), often needing prolonged medication treatment for effective management. Maintaining dr
Externí odkaz:
https://doaj.org/article/ddf19eefb7534b8b86e9f649cdc1d2da
Autor:
Marta Rosaria Marino, Teresa Angela Trunfio, Alfonso Maria Ponsiglione, Francesco Amato, Giovanni Improta
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract A critical problem that Emergency Departments (EDs) must address is overcrowding, as it causes extended waiting times and increased patient dissatisfaction, both of which are immediately linked to a greater number of patients who leave the E
Externí odkaz:
https://doaj.org/article/3f66c9f49ed04638a773f74395fad436
Publikováno v:
BioMedInformatics, Vol 4, Iss 3, Pp 1725-1744 (2024)
Background: Malignant breast cancer is the most common cancer affecting women worldwide. The COVID-19 pandemic appears to have slowed the diagnostic process, leading to an enhanced use of invasive approaches such as mastectomy. The increased use of a
Externí odkaz:
https://doaj.org/article/5edd760bde7e4cffb6bf1cf361fe82ed
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Effectiveness in health care is a specific characteristic of each intervention and outcome evaluated. Especially with regard to surgical interventions, organization, structure and processes play a key role in determining this parameter. In a
Externí odkaz:
https://doaj.org/article/3bd3c86671a54cbd9baef0a429a20b74
Autor:
Adnan Akman, Yohan Douest, Ludovico Andrea Alberta, Kevin Perrin, Ana-Maria Trunfio Sfarghiu, Nicolas Courtois, Benoit Ter-Ovanessian, Stefan Pilz, Martina Zimmermann, Mariana Calin, Annett Gebert
Publikováno v:
Journal of Materials Research and Technology, Vol 31, Iss , Pp 1419-1429 (2024)
β-type Ti–Nb alloys are promising materials for load-bearing implant applications with improved mechanical biofunctionality and biocompatibility. In this work, the electrochemical and tribo-electrochemical behaviour of laser powder bed fusion (LPB
Externí odkaz:
https://doaj.org/article/46ee13d500884399bb1277f917e134cb
Publikováno v:
Journal of Vascular Surgery Cases and Innovative Techniques, Vol 10, Iss 5, Pp 101572- (2024)
Externí odkaz:
https://doaj.org/article/0e0afe082e574582a8c6f4c4aca4ba7d
Autor:
Cantini, Riccardo, Marozzo, Fabrizio, Orsino, Alessio, Talia, Domenico, Trunfio, Paolo, Badia, Rosa M., Ejarque, Jorge, Vazquez, Fernando
Publikováno v:
Journal of Big Data, vol. 11, n. 19, 2024
The extensive use of HPC infrastructures and frameworks for running dataintensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, application performance can be heavily affected by how data are part
Externí odkaz:
http://arxiv.org/abs/2211.10819
Autor:
Ejarque, Jorge, Badia, Rosa M., Albertin, Loïc, Aloisio, Giovanni, Baglione, Enrico, Becerra, Yolanda, Boschert, Stefan, Berlin, Julian R., D'Anca, Alessandro, Elia, Donatello, Exertier, François, Fiore, Sandro, Flich, José, Folch, Arnau, Gibbons, Steven J, Koldunov, Nikolay, Lordan, Francesc, Lorito, Stefano, Løvholt, Finn, Macías, Jorge, Marozzo, Fabrizio, Michelini, Alberto, Monterrubio-Velasco, Marisol, Pienkowska, Marta, de la Puente, Josep, Queralt, Anna, Quintana-Ortí, Enrique S., Rodríguez, Juan E., Romano, Fabrizio, Rossi, Riccardo, Rybicki, Jedrzej, Kupczyk, Miroslaw, Selva, Jacopo, Talia, Domenico, Tonini, Roberto, Trunfio, Paolo, Volp, Manuela
Publikováno v:
Future Generation Computer Systems, Volume 134, Pages 414-429, ISSN 0167-739X, Elsevier, 2022
The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The complexity comes not only from the number of elements that compose the w
Externí odkaz:
http://arxiv.org/abs/2204.09287