Zobrazeno 1 - 10
of 72 814
pro vyhledávání: '"DE LUCA, A."'
Autor:
Denis, Nadine, Dede, Didem, Nurmamytov, Timur, Cianci, Salvatore, Santangeli, Francesca, Felici, Marco, Boureau, Victor, Polimeni, Antonio, Rubini, Silvia, Morral, Anna Fontcuberta i, De Luca, Marta
III-V nanowire heterostructures can act as sources of single and entangled photons and are enabling technologies for on-chip applications in future quantum photonic devices. The unique geometry of nanowires allows to integrate lattice-mismatched comp
Externí odkaz:
http://arxiv.org/abs/2411.03185
Autor:
Riva, G., Pratt, G. W., Rossetti, M., Bartalucci, I., Kay, S. T., Rasia, E., Gavazzi, R., Umetsu, K., Arnaud, M., Balboni, M., Bonafede, A., Bourdin, H., De Grandi, S., De Luca, F., Eckert, D., Ettori, S., Gaspari, M., Gastaldello, F., Ghirardini, V., Ghizzardi, S., Gitti, M., Lovisari, L., Maughan, B. J., Mazzotta, P., Molendi, S., Pointecouteau, E., Sayers, J., Sereno, M., Towler, I.
We characterise the entropy profiles of 32 very high mass ($M_{500}>7.75\times10^{14}~M_{\odot}$) galaxy clusters (HIGHMz), selected from the CHEX-MATE sample, to study the intracluster medium (ICM) entropy distribution in a regime where non-gravitat
Externí odkaz:
http://arxiv.org/abs/2410.11947
Autor:
Paliwal, A., De Petris, M., Ferragamo, A., Adam, R., Ade, P., Ajeddig, H., André, P., Artis, E., Aussel, H., Bartalucci, I., Beelen, A., Benoît, A., Berta, S., Bing, L., Bourrion, O., Calvo, M., Catalano, A., De Luca, F., Désert, F. -X., Doyle, S., Driessen, E. F. C., Ejlali, G., Gomez, A., Goupy, J., Hanser, C., Katsioli, S., Kéruzoré, F., Kramer, C., Ladjelate, B., Lagache, G., Leclercq, S., Lestrade, J. -F., Macías-Pérez, J. F., Madden, S. C., Maury, A., Mauskopf, P., Mayet, F., Melin, J. -B., Monfardini, A., Moyer-Anin, A., Muñoz-Echeverría, M., Perotto, L., Pisano, G., Pointecouteau, E., Ponthieu, N., Pratt, G. W., Revéret, V., Rigby, A. J., Ritacco, A., Romero, C., Roussel, H., Ruppin, F., Schuster, K., Sievers, A., Tucker, C., Wicker, R., Zylka, R.
Having a detailed knowledge of the intracluster medium (ICM) to infer the exact cluster physics such as the cluster dynamical state is crucial for cluster-based cosmological studies. This knowledge limits the accuracy and precision of mass estimation
Externí odkaz:
http://arxiv.org/abs/2410.11668
This paper aims to investigate a reaction-diffusion model which describes in-host infection for Mycobacterium tuberculosis (Mtb) allowing random motion (i.e. linear diffusion) and chemotaxis (i.e. non-linear diffusion) of macrophages and bacteria pop
Externí odkaz:
http://arxiv.org/abs/2410.10918
A ternary reaction-diffusion model for early HIV infection dynamics, incorporating logistic growth of target cells, is introduced. According to in vitro and in vivo studies, random movement of target cells, infected cells, and virions and a chemotact
Externí odkaz:
http://arxiv.org/abs/2410.13889
We consider the time evolution of multiple clusters of Brownian Sachdev-Ye-Kitaev (SYK), i.e. systems of N Majorana fermions with a noisy interaction term. In addition to the unitary evolution, we introduce two-fermion monitorings. We construct a coh
Externí odkaz:
http://arxiv.org/abs/2410.08079
The properties of functional brain networks are heavily influenced by how the network nodes are defined. A common approach uses Regions of Interest (ROIs), which are predetermined collections of fMRI measurement voxels, as network nodes. Their defini
Externí odkaz:
http://arxiv.org/abs/2410.05972
Autor:
de Luca, Artur Back, Giapitzakis, George, Yang, Shenghao, Veličković, Petar, Fountoulakis, Kimon
There has been a growing interest in the ability of neural networks to solve algorithmic tasks, such as arithmetic, summary statistics, and sorting. While state-of-the-art models like Transformers have demonstrated good generalization performance on
Externí odkaz:
http://arxiv.org/abs/2410.01686
Autor:
Malitesta, Daniele, Medda, Giacomo, Purificato, Erasmo, Boratto, Ludovico, Malliaros, Fragkiskos D., Marras, Mirko, De Luca, Ernesto William
Diffusion-based recommender systems have recently proven to outperform traditional generative recommendation approaches, such as variational autoencoders and generative adversarial networks. Nevertheless, the machine learning literature has raised se
Externí odkaz:
http://arxiv.org/abs/2409.04339
Autor:
Carpegna, Alessio, De Luca, Chiara, Pozzi, Federico Emanuele, Savino, Alessandro, Di Carlo, Stefano, Indiveri, Giacomo, Donati, Elisa
Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients, where HR trends can signal stress or agitation. Developing wearable
Externí odkaz:
http://arxiv.org/abs/2409.02618