Zobrazeno 1 - 10
of 9 030
pro vyhledávání: '"TIRELLI, A."'
Complex phenomena can be better understood when broken down into a limited number of simpler "components". Linear statistical methods such as the principal component analysis and its variants are widely used across various fields of applied science t
Externí odkaz:
http://arxiv.org/abs/2407.03173
Given a homomorphism $\tau$ from a suitable finite group $\mathsf{\Gamma}$ to $\mathsf{SU}(4)$ with image $\mathsf{\Gamma}^\tau$, we construct a cohomological gauge theory on a noncommutative resolution of the quotient singularity $\mathbb{C}^4/\math
Externí odkaz:
http://arxiv.org/abs/2405.14792
Autor:
Tirelli, Cristian, Sapriza, Juan, Álvarez, Rubén Rodríguez, Ferretti, Lorenzo, Denkinger, Benoît, Ansaloni, Giovanni, Calero, José Miranda, Atienza, David, Pozzi, Laura
Coarse-Grain Reconfigurable Arrays (CGRAs) represent emerging low-power architectures designed to accelerate Compute-Intensive Loops (CILs). The effectiveness of CGRAs in providing acceleration relies on the quality of mapping: how efficiently the CI
Externí odkaz:
http://arxiv.org/abs/2402.12834
Autor:
Nalin, Francesco, Tirelli, Maria Celeste, Garstecki, Piotr, Postek, Witold, Costantini, Marco
We present Tuna-step, a novel microfluidic module based on step emulsification that allows for reliable generation of droplets of different sizes. Until now, sizes of droplets generated with step emulsification were hard-wired into the geometry of th
Externí odkaz:
http://arxiv.org/abs/2307.05259
Autor:
Giulia Brigadoi, Francesca Tirelli, Sara Rossin, Veronica Casotto, Francesca Riello, Giulia Gallinaro, Daniele Donà, Silvia Bressan, Liviana Da Dalt
Publikováno v:
Italian Journal of Pediatrics, Vol 50, Iss 1, Pp 1-9 (2024)
Abstract Background Fever in children represents one of the most common causes of medical evaluation. Infants younger than 90 days of age are at higher risk of severe and invasive bacterial infections (SBI and IBI). However, clinical signs and sympto
Externí odkaz:
https://doaj.org/article/7fad7b094b59480aa3584827c031fb41
Autor:
Adriana Rosa Gambardella, Caterina Antonucci, Cristiana Zanetti, Francesco Noto, Sara Andreone, Davide Vacca, Valentina Pellerito, Chiara Sicignano, Giuseppe Parrottino, Valentina Tirelli, Antonella Tinari, Mario Falchi, Adele De Ninno, Luca Businaro, Stefania Loffredo, Gilda Varricchi, Claudio Tripodo, Claudia Afferni, Isabella Parolini, Fabrizio Mattei, Giovanna Schiavoni
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-25 (2024)
Abstract Immune cell-derived extracellular vesicles (EV) affect tumor progression and hold promise for therapeutic applications. Eosinophils are major effectors in Th2-related pathologies recently implied in cancer. Here, we evaluated the anti-tumor
Externí odkaz:
https://doaj.org/article/9b0f9646ff2d4fdcab61db2ede19e22c
Autor:
Matteo Floris, Antonino Moschella, Myriam Alcalay, Annalaura Montella, Matilde Tirelli, Laura Fontana, Maria Laura Idda, Pharmacogenomics Working Group of the Italian Society of Human Genetics (SIGU), Paolo Guarnieri, Mario Capasso, Corrado Mammì, Paola Nicoletti, Monica Miozzo
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-13 (2024)
Abstract Pharmacogenetics investigates sequence of genes that affect drug response, enabling personalized medication. This approach reduces drug-induced adverse reactions and improves clinical effectiveness, making it a crucial consideration for pers
Externí odkaz:
https://doaj.org/article/ee98d4d6ede14313a133bbdf3fbf6f01
Particle Image Velocimetry (PIV) estimates velocities through correlations of particle images within interrogation windows, leading to a spatial modulation of the velocity field. Although in principle Particle Tracking Velocimetry (PTV) estimates loc
Externí odkaz:
http://arxiv.org/abs/2302.05760
We study rank $r$ cohomological Donaldson-Thomas theory on a toric Calabi-Yau orbifold of $\mathbb{C}^4$ by a finite abelian subgroup $\mathsf\Gamma$ of $\mathsf{SU}(4)$, from the perspective of instanton counting in cohomological gauge theory on a n
Externí odkaz:
http://arxiv.org/abs/2301.13069
We present a study of the principal deuterium Hugoniot for pressures up to $150$ GPa, using Machine Learning potentials (MLPs) trained with Quantum Monte Carlo (QMC) energies, forces and pressures. In particular, we adopted a recently proposed workfl
Externí odkaz:
http://arxiv.org/abs/2301.03570