Zobrazeno 1 - 10
of 2 619
pro vyhledávání: '"Fisichella A."'
Autor:
Sgouros, O., Cutuli, M., Cappuzzello, F., Cavallaro, M., Carbone, D., Agodi, C., De Gregorio, G., Gargano, A., Linares, R., Brischetto, G. A., Calvo, D., Lomeli, E. R. Chavez, Ciraldo, I., Delaunay, F., Djapo, H., Eke, C., Finocchiaro, P., Fisichella, M., Guazzelli, M. A., Hacisalihoglu, A., Lubian, J., Medina, N. H., Moralles, M., Oliveira, J. R. B., Pakou, A., Pandola, L., Soukeras, V., Souliotis, G., Spatafora, A., Torresi, D., Yildirim, A., Zagatto, V. A. B.
Publikováno v:
Physical Review C 108, 044611 (2023)
The present article reports new data on the $^{48}$Ti($^{18}$O,$^{17}$O)$^{49}$Ti reaction at 275 MeV incident energy as part of the systematic research pursued within the NUMEN project. Supplementary measurements of the same reaction on $^{16}$O and
Externí odkaz:
http://arxiv.org/abs/2310.14765
Autor:
Ciraldo, I., Brischetto, G. A., Torresi, D., Cavallaro, M., Agodi, C., Boiano, A., Calabrese, S., Cappuzzello, F., Carbone, D., Cortesi, M., Delaunay, F., Fisichella, M., Neri, L., Pandalone, A., Paolucci, P., Rossi, B., Sgouros, O., Soukeras, V., Spatafora, A., Vanzanella, A., Yildirim, A.
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1048 (2023) 167893
A new gas detector prototype for the upgrade of the focal plane detector of the MAGNEX large-acceptance magnetic spectrometer has been developed and tested in view of the NUMEN project. It has been designed to operate at low gas pressure for detectin
Externí odkaz:
http://arxiv.org/abs/2304.02390
Autor:
Lois-Fuentes, J., Fernández-Domínguez, B., Pereira-López, X., Delaunay, F., Catford, W. N., Matta, A., Orr, N. A., Duguet, T., Otsuka, T., Somà, V., Sorlin, O., Suzuki, T., Achouri, N. L., Assié, M., Bailey, S., Bastin, B., Blumenfeld, Y., Borcea, R., Caamaño, M., Caceres, L., Clément, E., Corsi, A., Curtis, N., Deshayes, Q., Farget, F., Fisichella, M., de France, G., Franchoo, S., Freer, M., Gibelin, J., Gillibert, A., Grinyer, G. F., Hammache, F., Kamalou, O., Knapton, A., Kokalova, Tz., Lapoux, V., Crom, B. Le, Leblond, S., Marqués, F. M., Morfouace, P., Pancin, J., Perrot, L., Piot, J., Pollacco, E., Ramos, D., Regueira-Castro, D., Rodríguez-Tajes, C., Roger, T., Rotaru, F., Sénoville, M., de Séréville, N., Smith, R., Stanoiu, M., Stefan, I., Stodel, C., Suzuki, D., Thomas, J. C., Timofeyuk, N., Vandebrouck, M., Walshe, J., Wheldon, C.
The low-lying structure of $^{15}$C has been investigated via the neutron-removal $^{16}$C$(d,t)$ reaction. Along with bound neutron sd-shell hole states, unbound p-shell hole states have been firmly confirmed. The excitation energies and the deduced
Externí odkaz:
http://arxiv.org/abs/2302.08382
Autor:
Ganguly, Niloy, Fazlija, Dren, Badar, Maryam, Fisichella, Marco, Sikdar, Sandipan, Schrader, Johanna, Wallat, Jonas, Rudra, Koustav, Koubarakis, Manolis, Patro, Gourab K., Amri, Wadhah Zai El, Nejdl, Wolfgang
State-of-the-art AI models largely lack an understanding of the cause-effect relationship that governs human understanding of the real world. Consequently, these models do not generalize to unseen data, often produce unfair results, and are difficult
Externí odkaz:
http://arxiv.org/abs/2302.06975
Fairness-aware mining of massive data streams is a growing and challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to replace humans at critical decision-making points e.g., hiring staff, asses
Externí odkaz:
http://arxiv.org/abs/2211.04812
Climate change has become one of the biggest challenges of our time. Social media platforms such as Twitter play an important role in raising public awareness and spreading knowledge about the dangers of the current climate crisis. With the increasin
Externí odkaz:
http://arxiv.org/abs/2211.03533
Autor:
Leandro Nicolás Grendas, Eugenio Antonio Carrera Silva, Romina Isabel Álvarez Casiani, Alejandro Olaviaga, Josefina Robetto, Ángeles Romina Arena, Vera Tifner, Luciana Carla Chiapella, Marcelo Fisichella, Melina Bianca Penna, Fernando Hunter, Cintia Romina Prokopez, Andrea Emilse Errasti, Federico Manuel Daray
Publikováno v:
Brain, Behavior, & Immunity - Health, Vol 38, Iss , Pp 100777- (2024)
Background: Suicidal ideation and attempt (SI/SA) have been associated with dysregulation of the immune response and inflammation. However, few studies have explored how innate and acquired cellular immunity impact on the peripheral immune response.
Externí odkaz:
https://doaj.org/article/ef56abb20a5a49929aadfa2cc31cc173
Autor:
Ciraldo, I., Cappuzzello, F., Cavallaro, M., Carbone, D., Burrello, S., Spatafora, A., Gargano, A., De Gregorio, G., Vsevolodovna, R. I. Magaña, Acosta, L., Agodi, C., Amador-Valenzuela, P., Borello-Lewin, T., Brischetto, G. A., Calabrese, S., Calvo, D., Capirossi, V., Lomelí, E. R. Chávez, Colonna, M., Delaunay, F., Djapo, H., Eke, C., Finocchiaro, P., Firat, S., Fisichella, M., Foti, A., Hacisalihoglu, A., Iazzi, F., La Fauci, L., Linares, R., Medina, N. H., Moralles, M., Oliveira, J. R. B., Pakou, A., Pandola, L., Petrascu, H., Pinna, F., Russo, G., Santopinto, E., Sgouros, O., Guazzelli, M. A., Solakci, S. O., Soukeras, V., Souliotis, G., Torresi, D., Tudisco, S., Yildirim, A., Zagatto, V. A. B.
Publikováno v:
Physical Review C 105, 044607 (2022)
Purpose: We want to analyze transitions to low-lying excited states of the residual and ejectile nuclei in the 76Se(18O, 17O) 77Se one-neutron stripping reaction at 275-MeV incident energy and determine the role of single-particle and core excitation
Externí odkaz:
http://arxiv.org/abs/2206.12341
Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers
From the latter half of the last decade, there has been a growing interest in developing algorithms for automatically solving mathematical word problems (MWP). It is a challenging and unique task that demands blending surface level text pattern recog
Externí odkaz:
http://arxiv.org/abs/2205.15683
Autor:
Chang, Yi, Laridi, Sofiane, Ren, Zhao, Palmer, Gregory, Schuller, Björn W., Fisichella, Marco
Due to the development of machine learning and speech processing, speech emotion recognition has been a popular research topic in recent years. However, the speech data cannot be protected when it is uploaded and processed on servers in the internet-
Externí odkaz:
http://arxiv.org/abs/2203.04696