Zobrazeno 1 - 10
of 38 618
pro vyhledávání: '"Espinosa P"'
Publikováno v:
Revista Methodo, Vol 9, Iss 3 (2024)
INTRODUCCIÓN: Las gestantes con sífilis pueden transmitir la enfermedad al feto, lo que resulta en sífilis congénita (SC). Desde 2017, el Ministerio de Salud de Córdoba cuenta con una Sala de Situación sobre transmisión materno infantil (TM
Externí odkaz:
https://doaj.org/article/b672d6b4e8bd42f1b1ac0402da48e905
Autor:
Di Pasquale, Nicodemo, Algaba, Jesus, de Hijes, Pablo Montero, Sanchez-Burgos, Ignacio, Tejedor, Andres R., Yeandel, Stephen R., Blas, Felipe J., Davidchack, Ruslan L., Espinosa, Jorge R., Freeman, Colin L., Harding, John H., Laird, Brian B., Sanz, Eduardo, Vega, Carlos, Rovigatti, Lorenzo
The theory of interfacial properties in liquid-liquid or liquid-vapour systems is nearly 200 years old. The advent of computational tools has greatly advanced the field, mainly through the use of Molecular Dynamics simulations. Despite the successes
Externí odkaz:
http://arxiv.org/abs/2411.06231
Autor:
Trotta, D., Dimmock, A., Hietala, H., Blanco-Cano, X., Horbury, T. S., Vainio, R., Dresing, N., Jebaraj, I. C., Espinosa, F., Gomez-Herrero, R., Rodriguez-Pacheco, J., Kartavykh, Y., Lario, D., Gieseler, J., Janvier, M., Maksimovic, M., Sheshvan, N. Talebpour, Owen, C. J., Kilpua, E. K. J., Wimmer-Schweingruber, R.
Interplanetary shocks are fundamental constituents of the heliosphere, where they form as a result of solar activity. We use previously unavailable measurements of interplanetary shocks in the inner heliosphere provided by Solar Orbiter, and present
Externí odkaz:
http://arxiv.org/abs/2410.24007
In volcano monitoring, effective recognition of seismic events is essential for understanding volcanic activity and raising timely warning alerts. Traditional methods rely on manual analysis, which can be subjective and labor-intensive. Furthermore,
Externí odkaz:
http://arxiv.org/abs/2410.20595
Autor:
Kayser, Maxime, Menzat, Bayar, Emde, Cornelius, Bercean, Bogdan, Novak, Alex, Espinosa, Abdala, Papiez, Bartlomiej W., Gaube, Susanne, Lukasiewicz, Thomas, Camburu, Oana-Maria
The growing capabilities of AI models are leading to their wider use, including in safety-critical domains. Explainable AI (XAI) aims to make these models safer to use by making their inference process more transparent. However, current explainabilit
Externí odkaz:
http://arxiv.org/abs/2410.12284
Autor:
Castellano-Soria, A., Lopez-Mendez, R., Espinosa, A., Granados-Miralles, C., Varela, M., Marin, P., Navarro, E., Lopez-Sanchez, J.
In the pursuit of alternative and less invasive medical treatments, magnetic nanoparticles (NPs) have gained significant relevance. Iron carbides NPs stand out for their higher saturation magnetizations compared to iron oxides, while maintaining a su
Externí odkaz:
http://arxiv.org/abs/2410.00723
Autor:
Gingras, Luc, Espinosa, Yunuen Cervantes, Beaulieu, Frederic, Besnier, Magali, Coté, Benjamin, Lambert-Girard, Simon, Leblanc, Danahé, Lechasseur, Yoan, Therriault-Proulx, François, Beaulieu, Luc, Archambault, Louis
As small radiation fields play an ever-increasing role in radiation therapy, accurate dosimetry of these fields becomes critical to ensure high quality dose calculation and treatment optimization. The PRB-0002, a new plastic scintillation detector (P
Externí odkaz:
http://arxiv.org/abs/2410.00999
Autor:
Reyes-Amezcua, Ivan, Espinosa, Ricardo, Daul, Christian, Ochoa-Ruiz, Gilberto, Mendez-Vazquez, Andres
Accurate depth estimation in endoscopy is vital for successfully implementing computer vision pipelines for various medical procedures and CAD tools. In this paper, we present the EndoDepth benchmark, an evaluation framework designed to assess the ro
Externí odkaz:
http://arxiv.org/abs/2409.19930
Autor:
del Pozo, Jesús J., Bonhome-Espinosa, Ana B., Sun, Wei, Gutiérrez-Ariza, Carlos, Rica, Raúl A., Rodríguez-Arco, Laura
In the field of microdroplet manipulation, optical tweezers have been used to form and grow droplets, to transport them, or to measure forces between droplet pairs. However, the exploration of out-of-equilibrium phenomena in optically trapped droplet
Externí odkaz:
http://arxiv.org/abs/2409.18539
Autor:
Zarlenga, Mateo Espinosa, Sankaranarayanan, Swami, Andrews, Jerone T. A., Shams, Zohreh, Jamnik, Mateja, Xiang, Alice
Deep neural networks trained via empirical risk minimisation often exhibit significant performance disparities across groups, particularly when group and task labels are spuriously correlated (e.g., "grassy background" and "cows"). Existing bias miti
Externí odkaz:
http://arxiv.org/abs/2409.17691