Zobrazeno 1 - 10
of 2 507
pro vyhledávání: '"Baldassari, A."'
This work introduces a sampling method capable of solving Bayesian inverse problems in function space. It does not assume the log-concavity of the likelihood, meaning that it is compatible with nonlinear inverse problems. The method leverages the rec
Externí odkaz:
http://arxiv.org/abs/2405.15676
Autor:
Maha Dahawi, Jean-Madeleine de Sainte Agathe, Mohamed S. Elmagzoub, Elhami A. Ahmed, Julien Buratti, Thomas Courtin, Eric Noé, Julie Bogoin, Bruno Copin, Fatima A. Elmugadam, Wasma A. Abdelgadir, Ahmed K. M. A. Ahmed, Mohamed A. Daldoum, Rayan Mamoon Ibrahim Altayeb, Mohamed Bashir, Leena Mohamed Khalid, Sahar Gamil, Sara Baldassari, Liena Elsayed, Boris Keren, Gregory Nuel, Ammar E. Ahmed, Eric Leguern
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-18 (2024)
Abstract Genetic generalized epilepsy (GGE) including childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy (JME), and GGE with tonic–clonic seizures (TCS) (GGE-TCS), is genetically influenced with a two- to four- fold
Externí odkaz:
https://doaj.org/article/da14490885db477eb26406082e9daf33
Since their initial introduction, score-based diffusion models (SDMs) have been successfully applied to solve a variety of linear inverse problems in finite-dimensional vector spaces due to their ability to efficiently approximate the posterior distr
Externí odkaz:
http://arxiv.org/abs/2305.19147
Autor:
Bran, Andres M, Cox, Sam, Schilter, Oliver, Baldassari, Carlo, White, Andrew D, Schwaller, Philippe
Over the last decades, excellent computational chemistry tools have been developed. Integrating them into a single platform with enhanced accessibility could help reaching their full potential by overcoming steep learning curves. Recently, large-lang
Externí odkaz:
http://arxiv.org/abs/2304.05376
Through coupled physics, we study an early-warning inverse source problem for the elasto-gravitational equations. It consists of a mixed hyperbolic-elliptic system of partial differential equations describing elastic wave displacement and gravity per
Externí odkaz:
http://arxiv.org/abs/2304.03118
Autor:
Alice Balboni, Giorgia Ailuno, Sara Baldassari, Giuliana Drava, Andrea Petretto, Nicole Grinovero, Ornella Cavalleri, Elena Angeli, Andrea Lagomarsino, Paolo Canepa, Alessandro Corsaro, Beatrice Tremonti, Federica Barbieri, Stefano Thellung, Paola Contini, Katia Cortese, Tullio Florio, Gabriele Caviglioli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Glioblastoma (GBM), one of the deadliest brain tumors, accounts for approximately 50% of all primary malignant CNS tumors, therefore novel, highly effective remedies are urgently needed. Boron neutron capture therapy, which has recently repo
Externí odkaz:
https://doaj.org/article/2affd4e6c5004727a6a85e10b1e73128
Autor:
Samuel J. Dicken, Christina C. Dahm, Daniel B. Ibsen, Anja Olsen, Anne Tjønneland, Mariem Louati-Hajji, Claire Cadeau, Chloé Marques, Matthias B. Schulze, Franziska Jannasch, Ivan Baldassari, Luca Manfredi, Maria Santucci de Magistris, Maria-Jose Sánchez, Carlota Castro-Espin, Daniel Rodríguez Palacios, Pilar Amiano, Marcela Guevara, Yvonne T. van der Schouw, Jolanda M.A. Boer, W.M. Monique Verschuren, Stephen J. Sharp, Nita G. Forouhi, Nicholas J. Wareham, Eszter P. Vamos, Kiara Chang, Paolo Vineis, Alicia K. Heath, Marc J. Gunter, Geneviève Nicolas, Elisabete Weiderpass, Inge Huybrechts, Rachel L. Batterham
Publikováno v:
The Lancet Regional Health. Europe, Vol 46, Iss , Pp 101043- (2024)
Summary: Background: It is unknown whether the association between ultra-processed food (UPF) intake and type 2 diabetes mellitus differs from other degrees of food processing. We examined the association between degree of food processing and inciden
Externí odkaz:
https://doaj.org/article/4aa088a8f2b9484fb8e5247b66d1fcb0
Autor:
Baldassari, Sara1 (AUTHOR) sara.baldassari@unige.it, Yan, Mengying2 (AUTHOR) my.yan@siat.ac.cn, Ailuno, Giorgia1 (AUTHOR) giorgia.ailuno@unige.it, Zuccari, Guendalina1 (AUTHOR) guendalina.zuccari@unige.it, Bassi, Anna Maria3,4 (AUTHOR) anna.maria.bassi@unige.it, Vernazza, Stefania3,4 (AUTHOR) stefania.vernazza@unige.it, Tirendi, Sara3,4 (AUTHOR) tirendisara@gmail.com, Ferrando, Sara5 (AUTHOR) sara.ferrando@unige.it, Comite, Antonio6 (AUTHOR) antonio.comite@unige.it, Drava, Giuliana1 (AUTHOR) giuliana.drava@unige.it, Caviglioli, Gabriele1,7 (AUTHOR) gabriele.caviglioli@unige.it
Publikováno v:
Pharmaceutics. Oct2024, Vol. 16 Issue 10, p1341. 23p.
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Machine learning algorithms have shown great accuracy in predicting chemical reaction outcomes and retrosyntheses. However, designing synthesis pathways remains challenging for existing machine learning models which are trained for single-st
Externí odkaz:
https://doaj.org/article/645eb6f591f346859cf2e0c92b6a3894
In this paper, we show that it is possible to overcome one of the fundamental limitations of super-resolution microscopy techniques: the necessity to be in an \emph{optically homogeneous} environment. Using recent modal approximation results we show
Externí odkaz:
http://arxiv.org/abs/2207.06288