https://hdl.handle.net/10481/15029 2026-04-20T16:53:27Z 2026-04-20T16:53:27Z Alonso, Francisco Javier Ruiz Castro, Juan Eloy Alonso, Ignacio Javier Alonso, Esther https://hdl.handle.net/10481/112866 2026-04-17T09:32:47Z

V_APP: Sistema votación usando R (paquete shiny) Alonso, Francisco Javier; Ruiz Castro, Juan Eloy; Alonso, Ignacio Javier; Alonso, Esther En este trabajo se presenta un sistema para el desarrollo de un proceso de votación de forma anónima y aleatorizada. El sistema únicamente necesita dos ficheros, las personas que pueden votar y los candidatos a elegir. La salida que proporciona la identificación de las personas que han ejercido su derecho al voto, los votos depositados y un archivo de recuento de los votos recibidos por cada candidato. El sistema se ha desarrollado en R usando el paquete shiny.

Gómez Barroso, José Luis Marbán Flores, Raquel Rodríguez Sánchez, Ainara Miragaya Casillas, Cristina Isabel https://hdl.handle.net/10481/112725 2026-04-09T11:20:26Z

Revisiting the digital divide in Europe — The profile of those on the wrong side of the divide Gómez Barroso, José Luis; Marbán Flores, Raquel; Rodríguez Sánchez, Ainara; Miragaya Casillas, Cristina Isabel How deep is the digital divide in Europe today? What is the profile of those on the wrong side of the divide? This article provides answers to these two questions using data from the European Social Survey (round 10, data collected between 2020 and 2022) and conducting analyses using a probit regression model. It concludes that the digital divide, including the access divide, remains a problem in Europe. The prototype of the offline European would be someone who is not young, has little or no education, lives alone in a rural area, perceives their situation as financially difficult, is somewhat socially isolated, and has doubts about the benefits of communication. The profile of the person affected by the skills divide is not very different from that described above, although with some nuances: while women are less affected by the access divide, they are more affected by the skills divide; the larger the household size, the greater the likelihood of having lower digital proficiency; those “in education” are more skilled; capabilities increase with the number of hours spent in front of the screen.

Ruiz Fernández, Ana Isabel Fernández-Muñoz, María J López Montoya, Antonio Jesús Pérez, Jesús M. https://hdl.handle.net/10481/112609 2026-04-06T09:46:19Z

Monitoring incidence of human echinococcosis in Spain: 2000–2021 Ruiz Fernández, Ana Isabel; Fernández-Muñoz, María J; López Montoya, Antonio Jesús; Pérez, Jesús M. Since 1982, when human cystic echinococcosis (CE) became a notifiable disease in Spain, following European guidelines, its incidence has decreased by more than 90% to reach values below the European average. During the study period, mean incidence values ranged from 1.34/105 inhabitants (2000) to 0.14/105 inhabitants (2021) Therefore, Spain can be considered currently as an endemic (instead of hyperendemic) area for human CE. While the national trend during the study period (2000−2021) has generally shown a decline, several Spanish regions with more intensive livestock and slaughtering activities particularly those related to sheep meat production have experienced an increase in both the number of cases and incidence during the last one to two years, according to the available data. Despite official numbers of human CE may also be underestimated in Europe and Spain, as well, our data highlight the importance of educational, preventive and control programs. Nevertheless, despite being a notifiable disease, there is still a great disparity in the availability of official data for the different Spanish regions, which makes it difficult to monitor CE incidence values in real time.

Pérez Rocano, Wilson López Herrera, Antonio Gabriel Escabias Machuca, Manuel https://hdl.handle.net/10481/112153 2026-03-16T09:01:04Z

Outlier Curve Detection in Functional Data Using Robust FPCA Pérez Rocano, Wilson; López Herrera, Antonio Gabriel; Escabias Machuca, Manuel We propose a robust method for outlier detection in functional data analysis. This approach uses the robust Minimum Covariance Determinant estimator to compute the Mahalanobis distance applied to functional principal component scores. The main contribution of this research is the detection of outlier curves using the robust covariance matrix of functional principal components, in contrast to existing methods that use principal components on the discrete dataset. The proposed method is practical because it considers the entire functional form of the data, through their functional principal components, providing a comprehensive analysis that can detect anomalies across the entire functional range. A simulation study compares this approach with existing methods to evaluate their performance, followed by applications to El Niño Sea Surface Temperature data and SCImago Journal Rank data. The results show that the proposed method provides greater accuracy, demonstrating its effectiveness in detecting outlier curves.

Roldán López de Hierro, Antonio Francisco https://hdl.handle.net/10481/111669 2026-02-27T10:16:39Z

The proof of a proposition Roldán López de Hierro, Antonio Francisco In this work, the proof of a proposition is shown.