Zobrazeno 1 - 10
of 11 908
pro vyhledávání: '"A. Bernabeu"'
Autor:
José A. Ortiz, B. Lledó, R. Morales, A. Máñez-Grau, A. Cascales, A. Rodríguez-Arnedo, Juan C. Castillo, A. Bernabeu, R. Bernabeu
Publikováno v:
Reproductive Biology and Endocrinology, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Purpose To determine the factors influencing the likelihood of biochemical pregnancy loss (BPL) after transfer of a euploid embryo from preimplantation genetic testing for aneuploidy (PGT-A) cycles. Methods The study employed an observationa
Externí odkaz:
https://doaj.org/article/1d6e83c0282a4cc0b94d2cd52e86550d
Autor:
M. Martínez-Moya, J. Guerrero, J. L. Girela, A. Pitas, A. Bernabeu, R. Bernabeu, J. C. Castillo
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionProgesterone-primed cycles effectively suppress the pituitary LH surge during ovarian stimulation in oocyte donors and in the infertile population. Particularly in oocyte donors, the use of synthetic progesterone (progestins) has been exp
Externí odkaz:
https://doaj.org/article/52e247a4356343bb941afb9328d5e826
Autor:
B. Lledo, A. Fuentes, F. M. Lozano, A. Cascales, R. Morales, M. Hortal, F. Sellers, A. Palacios-Marques, R. Bermejo, F. Quereda, J. C. Martínez-Escoriza, R. Bernabeu, A. Bernabeu
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The factors that cause a preterm birth (PTB) are not completely understood up to date. Moreover, PTB is more common in pregnancies achieved by in-vitro fertilization (IVF) than in spontaneous pregnancies. Our aim was to compare the compositi
Externí odkaz:
https://doaj.org/article/20b9ff50db8a40dfbddc611ef8dfea39
The continued release of new and better image generation models increases the demand for synthetic image detectors. In such a dynamic field, detectors need to be able to generalize widely and be robust to uncontrolled alterations. The present work is
Externí odkaz:
http://arxiv.org/abs/2409.14128
Autor:
Bernabeu, Joan, Cortijo, Alberto
Magnetic Catalysis is a known proposal for inducing dynamical axionic gapped phases by means of external magnetic fields from a Weyl or Dirac semimetal phase. At finite Fermi level, the phase transition is of first order type and the magnetic field n
Externí odkaz:
http://arxiv.org/abs/2405.18473
Autor:
Burke, Jamie, Engelmann, Justin, Hamid, Charlene, Moukaddem, Diana, Pugh, Dan, Dhaun, Neeraj, Storkey, Amos, Strang, Niall, King, Stuart, MacGillivray, Tom, Bernabeu, Miguel O., MacCormick, Ian J. C.
The choroid is a key vascular layer of the eye, supplying oxygen to the retinal photoreceptors. Non-invasive enhanced depth imaging optical coherence tomography (EDI-OCT) has recently improved access and visualisation of the choroid, making it an exc
Externí odkaz:
http://arxiv.org/abs/2405.14453
Autor:
Gururajan, Ashwin Kumar, Lopez-Cuena, Enrique, Bayarri-Planas, Jordi, Tormos, Adrian, Hinjos, Daniel, Bernabeu-Perez, Pablo, Arias-Duart, Anna, Martin-Torres, Pablo Agustin, Urcelay-Ganzabal, Lucia, Gonzalez-Mallo, Marta, Alvarez-Napagao, Sergio, Ayguadé-Parra, Eduard, Garcia-Gasulla, Ulises Cortés Dario
As the capabilities of Large Language Models (LLMs) in healthcare and medicine continue to advance, there is a growing need for competitive open-source models that can safeguard public interest. With the increasing availability of highly competitive
Externí odkaz:
http://arxiv.org/abs/2405.01886
Autor:
Engelmann, Justin, Bernabeu, Miguel O.
Artificial Intelligence in medicine is traditionally limited by the lack of massive training datasets. Foundation models, pre-trained models that can be adapted to downstream tasks with small datasets, could alleviate this problem. Researchers at Moo
Externí odkaz:
http://arxiv.org/abs/2405.00117
Language identification is a crucial component in the automated production of language resources, particularly in multilingual and big data contexts. However, commonly used language identifiers struggle to differentiate between similar or closely-rel
Externí odkaz:
http://arxiv.org/abs/2404.08345
Autor:
de Gibert, Ona, Nail, Graeme, Arefyev, Nikolay, Bañón, Marta, van der Linde, Jelmer, Ji, Shaoxiong, Zaragoza-Bernabeu, Jaume, Aulamo, Mikko, Ramírez-Sánchez, Gema, Kutuzov, Andrey, Pyysalo, Sampo, Oepen, Stephan, Tiedemann, Jörg
We present the HPLT (High Performance Language Technologies) language resources, a new massive multilingual dataset including both monolingual and bilingual corpora extracted from CommonCrawl and previously unused web crawls from the Internet Archive
Externí odkaz:
http://arxiv.org/abs/2403.14009