Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Andrea Santamaría"'
Publikováno v:
Land, Vol 13, Iss 10, p 1701 (2024)
Understanding the mechanisms whereby parks contribute to cooling urban settings is critical to effectively addressing the challenges posed by rising temperatures in densely populated cities and ultimately improving the quality of urban life. This stu
Externí odkaz:
https://doaj.org/article/53549cb331ab4040837e218fa3665e7d
Exogenous aralar/slc25a12 can replace citrin/slc25a13 as malate aspartate shuttle component in liver
Autor:
Luis González-Moreno, Andrea Santamaría-Cano, Alberto Paradela, María Luz Martínez-Chantar, Miguel Á. Martín, Mercedes Pérez-Carreras, Alberto García-Picazo, Jesús Vázquez, Enrique Calvo, Gloria González-Aseguinolaza, Takeyori Saheki, Araceli del Arco, Jorgina Satrústegui, Laura Contreras
Publikováno v:
Molecular Genetics and Metabolism Reports, Vol 35, Iss , Pp 100967- (2023)
The deficiency of CITRIN, the liver mitochondrial aspartate–glutamate carrier (AGC), is the cause of four human clinical phenotypes, neonatal intrahepatic cholestasis caused by CITRIN deficiency (NICCD), silent period, failure to thrive and dyslipi
Externí odkaz:
https://doaj.org/article/5453daac2dbc4e41bb3cd39e84ebf7cc
Autor:
Scomparin, Luca, Caselle, Michele, Garcia, Andrea Santamaria, Xu, Chenran, Blomley, Edmund, Dritschler, Timo, Mochihashi, Akira, Schuh, Marcel, Steinmann, Johannes L., Bründermann, Erik, Kopmann, Andreas, Becker, Jürgen, Müller, Anke-Susanne, Weber, Marc
The commissioning and operation of future large-scale scientific experiments will challenge current tuning and control methods. Reinforcement learning (RL) algorithms are a promising solution thanks to their capability of autonomously tackling a cont
Externí odkaz:
http://arxiv.org/abs/2409.16177
Autor:
Darcy Milena Barrios-Martínez, Zulma Patricia Zuluaga-Ocampo, María Caridad García-Cepero, Félix Antonio Gómez-Hernández, Andrea Santamaría, Laura Estefanía Castro-Fajardo, Andrea Sánchez-Vallejo
Publikováno v:
Magis: Revista Internacional de Investigación en Educación, Vol 11, Iss 23, Pp 75-94 (2019)
Este artículo presenta algunos resultados de la investigación Rutas de emergencia del talento docente, cuyo objetivo principal fue identificar y examinar factores asociados a la emergencia del talento de docentes que hacían uso pedagógico sob
Externí odkaz:
https://doaj.org/article/c30baaffb7ab490189861d620a4f257c
Autor:
Andrea Santamaría Villarroya
Publikováno v:
Ambigua, Iss 4, Pp 88-101 (2017)
The aim of this article is to analyze the unstable identity of the main character of “Contra el amor en compañía” (1991), by Carme Riera, who as well as other stories from the same collection, shows a peculiar version about double and alter ego
Externí odkaz:
https://doaj.org/article/2c1bf7218a28462fab050722da9b2209
Publikováno v:
Phys. Rev. Accel. Beams 27 (2024) 054601
Machine learning has emerged as a powerful solution to the modern challenges in accelerator physics. However, the limited availability of beam time, the computational cost of simulations, and the high-dimensionality of optimisation problems pose sign
Externí odkaz:
http://arxiv.org/abs/2401.05815
Autor:
Roussel, Ryan, Edelen, Auralee L., Boltz, Tobias, Kennedy, Dylan, Zhang, Zhe, Ji, Fuhao, Huang, Xiaobiao, Ratner, Daniel, Garcia, Andrea Santamaria, Xu, Chenran, Kaiser, Jan, Pousa, Angel Ferran, Eichler, Annika, Lubsen, Jannis O., Isenberg, Natalie M., Gao, Yuan, Kuklev, Nikita, Martinez, Jose, Mustapha, Brahim, Kain, Verena, Lin, Weijian, Liuzzo, Simone Maria, John, Jason St., Streeter, Matthew J. V., Lehe, Remi, Neiswanger, Willie
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simulations. The effectiveness of optimization algorithms in discovering id
Externí odkaz:
http://arxiv.org/abs/2312.05667
Autor:
Kaiser, Jan, Xu, Chenran, Eichler, Annika, Garcia, Andrea Santamaria, Stein, Oliver, Bründermann, Erik, Kuropka, Willi, Dinter, Hannes, Mayet, Frank, Vinatier, Thomas, Burkart, Florian, Schlarb, Holger
Online tuning of real-world plants is a complex optimisation problem that continues to require manual intervention by experienced human operators. Autonomous tuning is a rapidly expanding field of research, where learning-based methods, such as Reinf
Externí odkaz:
http://arxiv.org/abs/2306.03739
Autor:
Xu, Chenran, Boltz, Tobias, Mochihashi, Akira, Garcia, Andrea Santamaria, Schuh, Marcel, Müller, Anke-Susanne
Publikováno v:
Phys.Rev.Accel.Beams 26 (2023) 3, 034601
We have evaluated the data-efficient Bayesian optimization method for the specific task of injection tuning in a circular accelerator. In this paper, we describe the implementation of this method at the Karlsruhe Research Accelerator with up to nine
Externí odkaz:
http://arxiv.org/abs/2211.09504
Autor:
Carlos Chitiva, Luis1,2 (AUTHOR) chitival@javeriana.edu.co, Andrea Santamaría-Torres, Mary3 (AUTHOR) m.santamariatorres@uniandes.edu.co, Rezende-Teixeira, Paula4 (AUTHOR) paularez@usp.br, Pereira de Oliveira Borlot, Jessica Rodrigues5 (AUTHOR) jessicacarpo@hotmail.com, de Almeida Romagna, Rodrigo5 (AUTHOR) rodrigoromagna@gmail.com, Londoño, Ximena6 (AUTHOR) ximelondo@gmail.com, Rezende Kitagawa, Rodrigo5 (AUTHOR) rodrigo.kitagawa@ufes.br, Costa-Lotufo, Leticia V.4 (AUTHOR) costalotufo@usp.br, Prieto-Rodríguez, Juliet A.1 (AUTHOR) juliet.prieto@javeriana.edu.co, Castro-Gamboa, Ian7 (AUTHOR) ian.castro@unesp.br, Modesti Costa, Geison1 (AUTHOR) modesticosta.g@javeriana.edu.co
Publikováno v:
Molecules. Jul2024, Vol. 29 Issue 13, p1-28. 28p. 1 Color Photograph, 4 Diagrams, 1 Chart, 6 Graphs.