Zobrazeno 1 - 10
of 15 204
pro vyhledávání: '"Caso, A"'
We present a wide-field study of the globular cluster systems (GCS) of the elliptical galaxy NGC 3640 and its companion NGC 3641, based on observations from Gemini Multi-Object Spectrograph/Gemini using the g'r'i' filters. NGC 3640 is a shell galaxy
Externí odkaz:
http://arxiv.org/abs/2403.00065
In the past years, Graph Neural Networks (GNNs) have become the `de facto' standard in various deep learning domains, thanks to their flexibility in modeling real-world phenomena represented as graphs. However, the message-passing mechanism of GNNs f
Externí odkaz:
http://arxiv.org/abs/2402.14802
Autor:
Caso, Diego, García-Prieto, Ana, Sebastiani-Tofano, Eugenia, Kamra, Akashdeep, Hernández, Cayetano, Prieto, Pilar, Aliev, Farkhad G.
Ferromagnetic/Antiferromagnetic (FM/AFM) bilayers dynamics have been a recent topic of interest due to the interaction occurring at the interface, where the magnetic moments of the AFM can be imprinted into the FM, and the exchange bias field can aff
Externí odkaz:
http://arxiv.org/abs/2402.10292
Autor:
Neyra, Enrique G., Rossini, Laureano A. Bulus, Videla, Fabián, Rebón, Lorena, Caso, Pablo A. Costanzo
The concept of superbandwidth refers to the fact that a band-limited signal can exhibit, locally, an increase of its bandwidth, i.e., an effective bandwidth greater than that predicted by its Fourier transform. In this work, we study the propagation
Externí odkaz:
http://arxiv.org/abs/2310.16149
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-21 (2024)
Abstract Background Parkinson´s disease (PD), the second most common neurodegenerative disease in the world, is characterized by the death or impairment of dopaminergic neurons (DAn) in the substantia nigra pars compacta and dopamine depletion in th
Externí odkaz:
https://doaj.org/article/b5277021b1b14fbf96f0455273878e46
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
Graph Neural Networks (GNNs) have become essential for studying complex data, particularly when represented as graphs. Their value is underpinned by their ability to reflect the intricacies of numerous areas, ranging from social to biological network
Externí odkaz:
http://arxiv.org/abs/2306.00707
Autor:
Miguel Ángel González Martínez, Dora Angélica Varillas Caso, María Ramírez Gómez, Mercedes Caba Molina
Publikováno v:
Nefrología, Vol 44, Iss 5, Pp 745-747 (2024)
Externí odkaz:
https://doaj.org/article/e097bb1e878c47a082aa47b5202c505e
Fast and efficient switching of nanomagnets is one of the main challenges in the development of future magnetic memories. We numerically investigate the evolution of the static and dynamic spin wave (SW) magnetization in short (50-400 nm length and 1
Externí odkaz:
http://arxiv.org/abs/2305.00346
Publikováno v:
European Journal of Psychology Applied to Legal Context, Vol 16, Iss 2, Pp 61-75 (2024)
Background/Objective: Witness’ interviews within a judicial investigation represent a complex procedure because human memory is subjected to suggestions and personal re-elaboration processes. Therefore, it is necessary to use an interview method th
Externí odkaz:
https://doaj.org/article/baf23d513ee9464fbee6e24af8b73dbd