Zobrazeno 1 - 10
of 16 947
pro vyhledávání: '"A. Egea"'
We apply the in-in formalism to address the question of whether the size of the one-loop spectrum of curvature fluctuations in ultra-slow-roll inflation models designed for producing a large population of primordial black holes implies a breakdown of
Externí odkaz:
http://arxiv.org/abs/2404.07196
Autor:
Ruiz, Javier, Jiménez-Díaz, Alberto, Egea-González, Isabel, Romeo, Ignacio, Kirby, Jon F., Audet, Pascal
The absence of plate tectonics and the young surface age (0.3-1 billion years) of Venus have led to diverse geodynamic models for Venus. The energetics of the Venusian interior drive these models; however, the lack of direct constraints on surface he
Externí odkaz:
http://arxiv.org/abs/2401.06558
Autor:
Maxime, Egea, Mikael, Escobar-Bach
We consider the estimation of the cumulative hazard function, and equivalently the distribution function, with censored data under a setup that preserves the privacy of the survival database. This is done through a $\alpha$-locally differentially pri
Externí odkaz:
http://arxiv.org/abs/2311.01303
Autor:
Mougan, Carlos, Plant, Richard, Teng, Clare, Bazzi, Marya, Cabrejas-Egea, Alvaro, Chan, Ryan Sze-Yin, Jasin, David Salvador, Stoffel, Martin, Whitaker, Kirstie Jane, Manser, Jules
The rise of datathons, also known as data or data science hackathons, has provided a platform to collaborate, learn, and innovate in a short timeframe. Despite their significant potential benefits, organizations often struggle to effectively work wit
Externí odkaz:
http://arxiv.org/abs/2309.09770
Autor:
Rémi Bernhard, Arnaud Bletterer, Maëlle Le Caro, Estrella García Álvarez, Belchin Kostov, Diego Herrera Egea
Publikováno v:
Dermatology and Therapy, Vol 14, Iss 11, Pp 2953-2969 (2024)
Abstract Introduction Developing automatic acne vulgaris grading systems based on machine learning is an expensive endeavor in terms of data acquisition. A machine learning practitioner will need to gather high-resolution pictures from a considerable
Externí odkaz:
https://doaj.org/article/5ae625f4feb845b5966929c134074ad7
Autor:
Sofía Ruffini Egea, Sara Elena Campos Ramírez, Natalia Pilar Pascual de la Fuente, María Luna Monreal Cepero, Fatima Mocha Campillo, Pablo Trincado Cobos, Antonio Antón Torres, Javier Martínez Trufero
Publikováno v:
Case Reports in Oncology, Vol 17, Iss 1, Pp 1252-1257 (2024)
Introduction: Malignant paragangliomas (M-PGL) are a group of neuroendocrine tumors that originate from chromaffin cells. The most common location for PGL is the head and neck, which comprise 65–70% of all PGL, and the M-PGL accounts for 0.6% of al
Externí odkaz:
https://doaj.org/article/54e617406b214294ac2f89daebbae6fc
Autor:
Francesco Dal Santo, María Paz García-Portilla, Emilio Fernández-Egea, Leticia González-Blanco, Pilar A. Sáiz, Giulia Maria Giordano, Silvana Galderisi, Julio Bobes
Publikováno v:
Schizophrenia, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract The Positive and Negative Syndrome Scale (PANSS) is the most widely used rating scale to assess psychotic symptoms in patients with schizophrenia and other primary psychoses. However, a definitive consensus regarding its dimensional structur
Externí odkaz:
https://doaj.org/article/9c4b545273dc400ca715067c6b492712
Autor:
María A. Cerón Hurtado, Sergi Barrantes, Antonio Sánchez Egea, Farners Armengol Siñol, Hernán González Rojas, Anna Padullés-Escarré, Jose A Jerez-Gonzalez, Anna López Ojeda, Joan Fontdevila Font
Publikováno v:
JPRAS Open, Vol 42, Iss , Pp 370-379 (2024)
Summary: Accurately assessing flap volume and thickness is a crucial aspect of breast reconstruction using the deep inferior epigastric perforator (DIEP) flap, especially in challenging cases such as thin or large-breasted women or bilateral reconstr
Externí odkaz:
https://doaj.org/article/0f7c786b71594cf2953608b116610dd9
Autor:
Perez, Santiago, Rodrigues, Dario, Estrada, Juan, Harnik, Roni, Liu, Zhen, Cervantes-Vergara, Brenda A., D'Olivo, Juan Carlos, Plestid, Ryan D., Tiffenberg, Javier, Yu, Tien-Tien, Aguilar-Arevalo, Alexis, Alcalde-Bessia, Fabricio, Avalos, Nicolas, Baez, Oscar, Baxter, Daniel, Bertou, Xavier, Bonifazi, Carla, Botti, Ana, Cancelo, Gustavo, Castelló-Mor, Nuria, Chavarria, Alvaro E., Chavez, Claudio R., Chierchie, Fernando, De Egea, Juan Manuel, Dreyer, Cyrus, Drlica-Wagner, Alex, Essig, Rouven, Estrada, Ezequiel, Etzion, Erez, Grylls, Paul, Fernandez-Moroni, Guillermo, Fernández-Serra, Marivi, Ferreyra, Santiago, Holland, Stephen, Barreda, Agustín Lantero, Lathrop, Andrew, Lawson, Ian, Loer, Ben, Luoma, Steffon, Villalpando, Edgar Marrufo, Montero, Mauricio Martinez, McGuire, Kellie, Molina, Jorge, Munagavalasa, Sravan, Norcini, Danielle, Piers, Alexander, Privitera, Paolo, Saffold, Nathan, Saldanha, Richard, Singal, Aman, Smida, Radomir, Sofo-Haro, Miguel, Stalder, Diego, Stefanazzi, Leandro, Traina, Michelangelo, Tsai, Yu-Dai, Uemura, Sho, Ventura, Pedro, Cortabitarte, Rocío Vilar, Yajur, Rachana
Oscura is a planned light-dark matter search experiment using Skipper-CCDs with a total active mass of 10 kg. As part of the detector development, the collaboration plans to build the Oscura Integration Test (OIT), an engineering test with 10% of the
Externí odkaz:
http://arxiv.org/abs/2304.08625
Autor:
Cervantes-Vergara, Brenda A., Perez, Santiago, Estrada, Juan, Botti, Ana, Chavez, Claudio R., Chierchie, Fernando, Saffold, Nathan, Aguilar-Arevalo, Alexis, Alcalde-Bessia, Fabricio, Avalos, Nicolás, Baez, Oscar, Baxter, Daniel, Bertou, Xavier, Bonifazi, Carla, Cancelo, Gustavo, Castelló-Mor, Nuria, Chavarria, Alvaro E., De Egea, Juan Manuel, D'Olivo, Juan Carlos, Dreyer, Cyrus, Drlica-Wagner, Alex, Essig, Rouven, Estrada, Ezequiel, Etzion, Erez, Grylls, Paul, Fernandez-Moroni, Guillermo, Fernández-Serra, Marivi, Ferreyra, Santiago, Holland, Stephen, Barreda, Agustín Lantero, Lathrop, Andrew, Lawson, Ian, Loer, Ben, Luoma, Steffon, Villalpando, Edgar Marrufo, Montero, Mauricio Martinez, McGuire, Kellie, Molina, Jorge, Munagavalasa, Sravan, Norcini, Danielle, Piers, Alexander, Privitera, Paolo, Rodrigues, Dario, Saldanha, Richard, Singal, Aman, Smida, Radomir, Sofo-Haro, Miguel, Stalder, Diego, Stefanazzi, Leandro, Tiffenberg, Javier, Traina, Michelangelo, Uemura, Sho, Ventura, Pedro, Cortabitarte, Rocío Vilar, Yajur, Rachana
Publikováno v:
Journal of Instrumentation, Volume 18, August 2023
Oscura is a proposed multi-kg skipper-CCD experiment designed for a dark matter (DM) direct detection search that will reach unprecedented sensitivity to sub-GeV DM-electron interactions with its 10 kg detector array. Oscura is planning to operate at
Externí odkaz:
http://arxiv.org/abs/2304.04401