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Your search keyword '"Burgos, Clara"' showing total 26 results
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26 results on '"Burgos, Clara"'

6. Some Tools to Study Random Fractional Differential Equations and Applications

Author

Burgos, Clara, Cortés, Juan-Carlos, Roselló, María-Dolores, Villanueva, Rafael-J., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, and De Cursi, José Eduardo Souza, editor

Published
2021
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11. Uncertainty Quantification for Meningococcus B Carriers Prediction

Author

Acedo, Luis, Burgos, Clara, Cortés, Juan-Carlos, Villanueva, Rafael J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rojas, Ignacio, editor, and Ortuño, Francisco, editor

Published
2017
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19. El alumnado con vulnerabilidad socioeducativa en situación de contingencia sanitaria: Propuesta didáctica de educación a distancia para la asignatura de inglés como segunda lengua

Author

González Burgos, Clara, Calderón Quindós, María Teresa, and Universidad de Valladolid. Facultad de Educación y Trabajo Social

Subjects
COVID-19, Vulnerabilidad
Abstract

Este Trabajo de Fin de Grado nace de la necesidad de buscar el modo de ofrecer apoyo educativo al alumnado más vulnerable durante la situación de contingencia sanitaria producida por el Covid-19. En este enclave surge la propuesta de realizar una colaboración entre la Facultad de Educación y Trabajo Social y el Área de Cooperación de Universidad de Valladolid. El objetivo es dar un seguimiento en la asignatura de inglés a través de varias ONGD que ya trabajaban previamente con niños y niñas en situaciones desfavorecidas. Tras analizar las diferentes causas de las desigualdades educativas ocasionadas por la pandemia, se desarrolla una propuesta didáctica para cubrir esas necesidades. Esta propuesta y las conclusiones que aquí se desarrollan son el producto final del trabajo realizado con este alumnado y sus familias., This Final Degree Project arises from the need to find a way to offer educational support to the most vulnerable students during the health contingency situation produced by Covid-19. In this enclave the proposal arises to carry out a collaboration between the School of Education and Social Worl and the Cooperation Area at the University of Valladolid. The objective is to provide puplis with a follow-up in the English subject through various NGDOs that had previously worked with children in disadvantaged situations. After analyzing the different causes of educational inequalities caused by the pandemic, a didactic proposal is developed to cover these needs. This proposal and the conclusions that are developed here are the final product of the work carried out with these students and their families., Grado en Educación Primaria

Published
2020

25. Calibrating a large network model describing the transmission dynamics of the human papillomavirus using a particle swarm optimization algorithm in a distributed computing environment.

Author

Acedo, Luis, Burgos, Clara, Hidalgo, José-Ignacio, Sánchez-Alonso, Victor, Villanueva, Rafael-Jacinto, and Villanueva-Oller, Javier

Subjects
*DISTRIBUTED computing, *TRANSMISSION of papillomavirus diseases, *PARTICLE swarm optimization, *ALGORITHMS, *COMPUTER simulation, *SEXUAL partners
Abstract

Working in large networks applied to epidemiological-type models has led us to design a simple but effective computed distributed environment to perform a large amount of model simulations in a reasonable time in order to study the behavior of these models and to calibrate them. Finding the model parameters that best fit the available data in the designed distributed computing environment becomes a challenge and it is necessary to implement reliable algorithms for model calibration. In this article, we have adapted the random particle swarm optimization algorithm to our distributed computing environment to be applied to the calibration of a papillomavirus transmission dynamics model on a lifetime sexual partners network. And we have obtained a good fitting saving time and calculations compared with the exhaustive searching strategy we have been using so far. [ABSTRACT FROM AUTHOR]

Published
2018
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