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Akademický článek

Optimal Assessment, Treatment, and Monitoring of Adults with Eosinophilic Esophagitis: Strategies to Improve Outcomes

Autor: Visaggi P, Ghisa M, Vespa E, Barchi A, Mari A, Pasta A, Marabotto E, de Bortoli N, Savarino EV

Publikováno v: ImmunoTargets and Therapy, Vol Volume 13, Pp 367-383 (2024)

Pierfrancesco Visaggi,1,* Matteo Ghisa,2,* Edoardo Vespa,3 Alberto Barchi,3 Amir Mari,4 Andrea Pasta,5 Elisa Marabotto,5,6 Nicola de Bortoli,1 Edoardo Vincenzo Savarino2 1Gastroenterology Unit, Department of Translational Research and New Tec

Externí odkaz: https://doaj.org/article/5ac890e6979f4a758d167061a2da5b03

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Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading

Autor: Ciani, Maicol, Parisi, Emanuele, Musa, Alberto, Barchi, Francesco, Bartolini, Andrea, Kulmala, Ari, Psiakis, Rafail, Garofalo, Angelo, Acquaviva, Andrea, Rossi, Davide

The rapid advancement and exploration of open-hardware RISC-V platforms are driving significant changes in sectors like autonomous vehicles, smart-city infrastructure, and medical devices. OpenTitan stands out as a groundbreaking open-source RISC-V d

Externí odkaz: http://arxiv.org/abs/2406.11558

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Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips

Autor: Parisi, Emanuele, Musa, Alberto, Ciani, Maicol, Barchi, Francesco, Rossi, Davide, Bartolini, Andrea, Acquaviva, Andrea

RISC-V open-source systems are emerging in deployment scenarios where safety and security are critical. OpenTitan is an open-source silicon root-of-trust designed to be deployed in a wide range of systems, from high-end to deeply embedded secure envi

Externí odkaz: http://arxiv.org/abs/2402.10395

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Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters

Autor: Esteves, J. H., Pereira, M. E. S., Soares-Santos, M., Annis, J., Farahi, A., Andrade-Oliveira, F., Barchi, P., Palmese, A., Lin, H., Welch, B., Wu, H. -Y., Aguena, M., Bacon, O. Alves D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Weaverdyck, N., Wiseman, P., Yamamoto, M., collaboration, DES

Cosmological analyses using galaxy clusters in optical/NIR photometric surveys require robust characterization of their galaxy content. Precisely determining which galaxies belong to a cluster is crucial. In this paper, we present the COlor Probabili

Externí odkaz: http://arxiv.org/abs/2401.12049

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TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust

Autor: Parisi, Emanuele, Musa, Alberto, Manoni, Simone, Ciani, Maicol, Rossi, Davide, Barchi, Francesco, Bartolini, Andrea, Acquaviva, Andrea

Modern RISC-V platforms control and monitor security-critical systems such as industrial controllers and autonomous vehicles. While these platforms feature a Root-of-Trust (RoT) to store authentication secrets and enable secure boot technologies, the

Externí odkaz: http://arxiv.org/abs/2401.02567

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Hawkes-based cryptocurrency forecasting via Limit Order Book data

Autor: Cestari, Raffaele Giuseppe, Barchi, Filippo, Busetto, Riccardo, Marazzina, Daniele, Formentin, Simone

Accurately forecasting the direction of financial returns poses a formidable challenge, given the inherent unpredictability of financial time series. The task becomes even more arduous when applied to cryptocurrency returns, given the chaotic and int

Externí odkaz: http://arxiv.org/abs/2312.16190

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BUT CHiME-7 system description

Autor: Karafiát, Martin, Veselý, Karel, Szöke, Igor, Mošner, Ladislav, Beneš, Karel, Witkowski, Marcin, Barchi, Germán, Pepino, Leonardo

This paper describes the joint effort of Brno University of Technology (BUT), AGH University of Krakow and University of Buenos Aires on the development of Automatic Speech Recognition systems for the CHiME-7 Challenge. We train and evaluate various

Externí odkaz: http://arxiv.org/abs/2310.11921

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