Zobrazeno 1 - 10
of 47 534
pro vyhledávání: '"Oriol A."'
Autor:
Ana Ojeda-Rodriguez, Oriol A. Rangel-Zuñiga, Antonio P. Arenas-de Larriva, Francisco M. Gutierrez-Mariscal, Jose D. Torres-Peña, Juan L. Romero-Cabrera, Alicia Podadera-Herreros, Helena García-Fernandez, Esther Porras-Pérez, Raul M. Luque, Stefanos N. Kales, Pablo Perez-Martinez, Javier Delgado-Lista, Elena M. Yubero-Serrano, Jose Lopez-Miranda
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Background Telomere Length (TL), a marker of cellular aging, holds promise as a biomarker to elucidate the molecular mechanism of diabetes. This study aimed to investigate whether shorter telomeres are associated with a higher risk of type 2
Externí odkaz:
https://doaj.org/article/cbc4a16da96a4562840765be3e3e909a
Autor:
Jaime López-Alcalá, Ana Gordon, Andrés Trávez, Carmen Tercero-Alcázar, Alejandro Correa-Sáez, María Jesús González-Rellán, Oriol A. Rangel-Zúñiga, Amaia Rodríguez, Antonio Membrives, Gema Frühbeck, Rubén Nogueiras, Marco A. Calzado, Rocío Guzmán-Ruiz, María M. Malagón
Publikováno v:
Journal of Biomedical Science, Vol 31, Iss 1, Pp 1-28 (2024)
Abstract Background Excessive lipid accumulation in the adipose tissue in obesity alters the endocrine and energy storage functions of adipocytes. Adipocyte lipid droplets represent key organelles coordinating lipid storage and mobilization in these
Externí odkaz:
https://doaj.org/article/67e13ce9f2ae45388dd0b4f7ac1984d8
This study analyzes the behavior of a differentially heated channel flow by means of a direct numerical simulations (DNS) with variable thermophysical properties under low-speed conditions focusing on the impact of the temperature gradient on the tur
Externí odkaz:
http://arxiv.org/abs/2411.07669
Autor:
Collados-Rodriguez, Carlos, Spier, Daniel Westerman, Cheah-Mane, Marc, Prieto-Araujo, Eduardo, Gomis-Bellmunt, Oriol
In this paper, frequency dynamics in modern power systems with a high penetration of converter-based generation is analysed. A fundamental analysis of the frequency dynamics is performed to identify the limitations and challenges when the converter p
Externí odkaz:
http://arxiv.org/abs/2411.08161
A wall-resolved large-eddy simulation (LES) of the fluid flow around a 30P30N airfoil is conducted at a Reynolds number of Rec=750,000 and an angle of attack (AoA) of 9 degrees. The simulation results are validated against experimental data from prev
Externí odkaz:
http://arxiv.org/abs/2411.05592
Autor:
Montalà, Ricard, Font, Bernat, Suárez, Pol, Rabault, Jean, Lehmkuhl, Oriol, Rodriguez, Ivette
This paper presents a deep reinforcement learning (DRL) framework for active flow control (AFC) to reduce drag in aerodynamic bodies. Tested on a 3D cylinder at Re = 100, the DRL approach achieved a 9.32% drag reduction and a 78.4% decrease in lift o
Externí odkaz:
http://arxiv.org/abs/2411.05536
The dynamics of wild-type (wt) RNA viruses and their defective viral genomes (DVGs) have been extensively studied both experimentally and theoretically. This research has paid special attention to the interference effects of DVGs on wt accumulation,
Externí odkaz:
http://arxiv.org/abs/2411.00070
Strong coupling between excitons and confined modes of light presents a promising pathway to tunable and enhanced energy transport in organic materials. By forming hybrid light-matter quasiparticles, exciton-polaritons, electronic excitations can tra
Externí odkaz:
http://arxiv.org/abs/2410.23739
Autor:
Méndez, Martín, Torras, Pau, Molina, Adrià, Chen, Jialuo, Ramos-Terrades, Oriol, Fornés, Alicia
Historical ciphered manuscripts are documents that were typically used in sensitive communications within military and diplomatic contexts or among members of secret societies. These secret messages were concealed by inventing a method of writing emp
Externí odkaz:
http://arxiv.org/abs/2410.21913
Autor:
Sakshi, S, Tyagi, Utkarsh, Kumar, Sonal, Seth, Ashish, Selvakumar, Ramaneswaran, Nieto, Oriol, Duraiswami, Ramani, Ghosh, Sreyan, Manocha, Dinesh
The ability to comprehend audio--which includes speech, non-speech sounds, and music--is crucial for AI agents to interact effectively with the world. We present MMAU, a novel benchmark designed to evaluate multimodal audio understanding models on ta
Externí odkaz:
http://arxiv.org/abs/2410.19168