Zobrazeno 1 - 10
of 705
pro vyhledávání: '"Victor Sanchez"'
Autor:
Thais Ealo, Victor Sanchez-Gaya, Patricia Respuela, María Muñoz-San Martín, Elva Martin-Batista, Endika Haro, Alvaro Rada-Iglesias
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract The specificity of gene expression during development requires the insulation of regulatory domains to avoid inappropriate enhancer-gene interactions. In vertebrates, this insulator function is mostly attributed to clusters of CTCF sites loc
Externí odkaz:
https://doaj.org/article/7c35716ba98249bc94a35aa49faec8e9
Publikováno v:
Vaccines, Vol 12, Iss 10, p 1176 (2024)
Background/Objectives: The impact of virion maturation on neutralizing antibody responses in HIV treatment is not fully understood. This study examines whether antiretroviral regimens (ART) with boosted protease inhibitors (b-PI), which increase expo
Externí odkaz:
https://doaj.org/article/d5837269010549548f96d6a4eeeb669d
Publikováno v:
IEEE Access, Vol 11, Pp 3494-3510 (2023)
Deep learning is regarded as a promising solution for reversible steganography. There is an accelerating trend of representing a reversible steo-system by monolithic neural networks, which bypass intermediate operations in traditional pipelines of re
Externí odkaz:
https://doaj.org/article/bfbd0bd400944a4b91b7e7610b025792
Trait anxiety slows speed of processing but does not affect specific components of executive control
Autor:
Daniel Adrover-Roig, Victor Sanchez-Azanza, Lucía Buil-Legaz, Raúl López-Penadés, Eva Aguilar-Mediavilla
Publikováno v:
Acta Psychologica, Vol 238, Iss , Pp 103973- (2023)
The present work aimed to establish the influence of self-reported trait anxiety on computerized and self-reported measures of executive control, and speed of processing in young adults using latent variable modeling. One hundred and six participants
Externí odkaz:
https://doaj.org/article/a0010dda400344f08aa674c43e3ded0f
Autor:
Victor Sanchez-Merino, Miguel Martin-Serrano, Manuela Beltran, Beatriz Lazaro-Martin, Eloisa Cervantes, Manuel Oltra, Talia Sainz, Felipe Garcia, Maria Luisa Navarro, Eloisa Yuste
Publikováno v:
Vaccines, Vol 12, Iss 1, p 8 (2023)
Broadly neutralizing antibodies (bnAbs) bind and neutralize diverse HIV isolates and demonstrate protective effects in primate models and humans against specific isolates. To develop an effective HIV vaccine, it is widely believed that inducing these
Externí odkaz:
https://doaj.org/article/cfb0d33b75b74570b22c16cf71bbfab7
Autor:
Manuel García, Radim Vočka, Riku Tuominen, Andre Gommlich, Jaakko Leppänen, Ville Valtavirta, Uwe Imke, Diego Ferraro, Paul Van Uffelen, Lukáš Milisdörfer, Victor Sanchez-Espinoza
Publikováno v:
Nuclear Engineering and Technology, Vol 53, Iss 10, Pp 3133-3150 (2021)
This work deals with the validation of a high-fidelity multiphysics system coupling the Serpent 2 Monte Carlo neutron transport code with SUBCHANFLOW, a subchannel thermalhydraulics code, and TRANSURANUS, a fuel-performance analysis code. The results
Externí odkaz:
https://doaj.org/article/a33301b22f5342ef95b0f04cb031d091
Autor:
Mina Iskander, BA, Galen Hu, ScB, Shefali Sood, BA, Noah Heilenbach, BA, Victor Sanchez, BA, Titilola Ogunsola, BS, Dinah Chen, MD, Ceyhun Elgin, PhD, Vipul Patel, Andrew Wronka, BS, Lama A. Al-Aswad, MD, MPH
Publikováno v:
Ophthalmology Science, Vol 2, Iss 3, Pp 100182- (2022)
Purpose: To validate and assess user satisfaction and usability of the New York University (NYU) Langone Eye Test application, a smartphone-based visual acuity (VA) test. Design: Mixed-methods cross-sectional cohort study. Participants: Two hundred f
Externí odkaz:
https://doaj.org/article/5e30ef2b53b6443c97cc3dbff7150fa8
Autor:
Bachir Kaddar, Hadria Fizazi, Miguel Hernandez-Cabronero, Victor Sanchez, Joan Serra-Sagrista
Publikováno v:
IEEE Access, Vol 9, Pp 105892-105901 (2021)
Designing small and efficient mobile neural networks is difficult because the challenge is to determine the architecture that achieves the best performance under a given limited computational scenario. Previous lightweight neural networks rely on a c
Externí odkaz:
https://doaj.org/article/645aad8c01c44835b6f8001641a87f91
Publikováno v:
IEEE Access, Vol 9, Pp 117267-117270 (2021)
Recently, data-driven algorithms such as deep neural networks have attracted a lot of attention and have become a popular area of research and development. This interest is driven by several factors, such as recent advances in processing power (cheap
Externí odkaz:
https://doaj.org/article/325cad75d9744cb5b13b7a6e95a1b485
Autor:
Efstratios Stylianidis, Devrim Akca, Daniela Poli, Martin Hofer, Armin Gruen, Victor Sanchez Martin, Konstantinos Smagas, Andreas Walli, Orhan Altan, Elisa Jimeno, Alejandro Garcia
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 8, Pp 854-885 (2020)
A 3D forest monitoring system, called FORSAT (a satellite very high resolution image processing platform for forest assessment), was developed for the extraction of 3D geometric forest information from very high resolution (VHR) satellite imagery and
Externí odkaz:
https://doaj.org/article/72a532046af546918108ba62bd5cd4eb