Towards Syntactic Iberian Polarity Classification

Lexicon-based methods using syntactic rules for polarity classification rely on parsers that are dependent on the language and on treebank guidelines. Thus, rules are also dependent and require adaptation, especially in multilingual scenarios. We tackle this challenge in the context of the Iberian Peninsula, releasing the first symbolic syntax-based Iberian system with rules shared across five official languages: Basque, Catalan, Galician, Portuguese and Spanish. The model is made available.Comment: 7 pages, 5 tables. Contribution to the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA-2017) at EMNLP 201

Human and Object Recognition with a High-resolution tactile sensor

This paper 1 describes the use of two artificial intelligence methods for object recognition via pressure images from a high-resolution tactile sensor. Both meth- ods follow the same procedure of feature extraction and posterior classification based on a supervised Supported Vector Machine (SVM). The two approaches differ on how features are extracted: while the first one uses the Speeded-Up Robust Features (SURF) descriptor, the other one employs a pre-trained Deep Convolutional Neural Network (DCNN). Besides, this work shows its applica- tion to object recognition for rescue robotics, by distinguishing between differ- ent body parts and inert objects. The performance analysis of the proposed methods is carried out with an experiment with 5-class non-human and 3-class human classification, providing a comparison in terms of accuracy and compu-tational load. Finally, it is discussed how feature-extraction based on SURF can be obtained up to five times faster compared to DCNN. On the other hand, the accuracy achieved using DCNN-based feature extraction can be 11.67% superior to SURF.Proyecto DPI2015-65186-R European Commission under grant agreement BES-2016-078237. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Implementación de indicadores de calidad en los servicios académicos ofrecidos por el Departamento de ciencias naturales y exactas basado en control estadístico de procesos SPC

Se presentan resultados parciales relacionados con la investigación, en su fase 2, en la que se implementarán indicadores de calidad, usando herramientas del Control Estadístico de Procesos, SPC, que permitan medir y evaluar algunos de los servicios académicos ofrecidos por el Departamento de Ciencias Naturales y Exactas (DCNE), de la Fundación Universidad Autónoma de Colombia (FUAC). La información necesaria para alimentar las bases de datos, depende de las variables seleccionadas en el estudio, estas son: Realización curso de Matemática Introductoria, Seguimiento académico a los estudiantes que recibe la FUAC, y Evaluación final de las asignaturas mediante la aplicación de una prueba final conjunta (PFC). Esta información se genera en el programa Excel y es llevada al software estadístico R-studio para sus respectivos análisis e interpretación. Se presentan las fichas técnicas de los indicadores propuestos, las respectivas tablas y el análisis estadístico respectivo

Self-healing of dense asphalt concrete by two different approaches: electromagnetic induction and infrared radiation

Self-healing of cracks in asphalt mixtures is a phenomenon that can be accelerated by reducing the viscosity of bitumen as it increases the capillarity flow through the cracks. One method to achieve this is by increasing temperature, which also produces a thermal expansion that contributes to the circulation of the bitumen through cracks. In the present paper, the healing performance of asphalt mixture heated using infrared heating to simulate the natural solar radiation, and induction heating, a new method to increase the temperature of asphalt pavements, were compared in terms of time and healing temperature. Healing was defined as the relationship between the 3-point bending strength of an asphalt beam before and after healing. The results show that both methods reach similar and satisfactory healing ratios at around 90 %. However, induction heating is more energy efficient because the effect is concentrated on the binder, instead of heating the whole mix. This can be translated into much shorter heating times to reach the same healing level. Finally, an optimum radiation energy was found, after which higher amounts of infrared radiation damage the properties of the healed material

Mobile Robot Lab Project to Introduce Engineering Students to Fault Diagnosis in Mechatronic Systems

This document is a self-archiving copy of the accepted version of the paper. Please find the final published version in IEEEXplore: http://dx.doi.org/10.1109/TE.2014.2358551This paper proposes lab work for learning fault detection and diagnosis (FDD) in mechatronic systems. These skills are important for engineering education because FDD is a key capability of competitive processes and products. The intended outcome of the lab work is that students become aware of the importance of faulty conditions and learn to design FDD strategies for a real system. To this end, the paper proposes a lab project where students are requested to develop a discrete event dynamic system (DEDS) diagnosis to cope with two faulty conditions in an autonomous mobile robot task. A sample solution is discussed for LEGO Mindstorms NXT robots with LabVIEW. This innovative practice is relevant to higher education engineering courses related to mechatronics, robotics, or DEDS. Results are also given of the application of this strategy as part of a postgraduate course on fault-tolerant mechatronic systems.This work was supported in part by the Spanish CICYT under Project DPI2011-22443

Uso del vídeo para el fact-checking en Facebook. Análisis de la evolución y el alcance de la producción iberoamericana (2016-2021)

Social networks –and Facebook in particular– have become an important element of the information diet for millions of people around the world. By using them, the traditional media lose control of the distribution channel for their content, whose reach now depends, firstly, on the relevance criteria established by the networks themselves and, secondly, on the interactions generated by the audience with each publication. Very often research on journalism has tackled the issue of reach and how efficient fact-checkers are. To find answer to the sociodemographic features of their audiences or the characteristics of their posts are explored. However, factors such as the influence of the algorithms which choose the content users are shown on the social networks is not often dealt with. This article aims to contribute in both areas. Firstly, it offers a broad perspective on the publications of Ibero-American fact-checkers on Facebook between 2016 and 2021, focuses on the evolution of video production (n=9075) and on the views and engagement achieved by this format with respect to the rest, and relates them to changes in the News Feed algorithm. Secondly, it proposes a content analysis to identify formal and thematic elements in the most popular videos in the same period (n=414) and relates them to previous research. Our results show significant similarities in popular videos, but also changes in video production, a generalized decrease in the ratio of views and a drop in the interaction rate more accentuated than in all the publications of the period. Although the focus of this research does not allow us to make direct causal inferences, the trends identified coincide with the changes in the Facebook News Feed algorithm that were made public in those years.Las redes sociales –y Facebook en particular– se han convertido en un elemento importante de la dieta informativa para millones de personas en todo el mundo. Al utilizarlas, los medios de comunicación tradicionales pierden el control del canal de distribución de sus contenidos, cuyo alcance depende ahora, en primer lugar, de los criterios de relevancia establecidos por las propias redes y, en segundo lugar, de las interacciones generadas por la audiencia en cada publicación. La investigación sobre periodismo ha abordado en múltiples ocasiones el problema del alcance y la eficacia de los fact-checkers, buscando respuestas en los rasgos sociodemográficos de sus audiencias o en las características de sus publicaciones, sin embargo, suelen obviarse factores como la influencia de los algoritmos que seleccionan el contenido al que los usuarios se ven expuestos en las redes sociales. Este artículo trata de realizar una contribución en ambas vertientes: en primer lugar ofrece un análisis sobre la evolución de la producción, visionados y engagement de los vídeos publicados por los fact-checkers iberoamericanos en Facebook entre 2016 y 2021 (n=9.075), los compara con los datos del total de publicaciones y los relaciona con cambios en el algoritmo del News Feed; en segundo lugar plantea un análisis de contenido para identificar elementos formales y temáticos en los vídeos de mayor éxito en el mismo período (n=414) y los pone en relación con la investigación previa. Nuestros resultados permiten identificar características comunes a los vídeos de mayor éxito pero también cambios en la producción de vídeo, y caídas en los ratios de visualizaciones e interacciones más acentuadas que en el conjunto de publicaciones del periodo. Aunque el enfoque de esta investigación no permite hacer inferencias causales directas, las tendencias identificadas coinciden con modificaciones en el algoritmo del News Feed de Facebook con respecto al vídeo

The Impact of Regional Differences on Elementary School Teachers' Attitudes Towards Their Students' Use of Code Switching in a South Texas School District

This study focused on investigating whether the teachers' geographical distribution influences their attitudes towards their students¿ use of code switching. The study was guided by the following research question: Are there differences between teachers¿ opinions of the north elementary schools and teachers¿ opinions of the south elementary schools, which are predominantly Hispanic, towards their students¿ use of code switching? If so, why? A twenty-item structured survey was utilized. The population consisted of 279 elementary school teachers at seven Northern and seven Southern schools in the same South Texas region. The data were analyzed with descriptive statistics. Findings showed thatSouthern teachers had more prejudices towards code switching than those from the North, who weremore receptive to this socio-cultural and linguistic phenomenon due to the ethnic makeup of their classrooms

Yielding and Ultimate Deformations of Wide and Deep Reinforced Concrete Beams

[EN] Current formulations proposed by Eurocode 8 part 3 for the inelastic deformations of existing reinforced concrete members are assessed separately for wide beams (WB) and conventional deep beams (DB). The current approach, based on a large experimental database of members, predicts larger ultimate chord rotation but lower chord rotation ductility for WB rather than for DB despite the similar curvature ductility, due to lower plastic hinge lengths in WB. However, if the data are disaggregated into DB and WB, predicted chord rotations are consistently conservative for DB and not conservative for WB if compared with experimental values, especially at ultimate deformation. Thus, plastic hinge length may be even greater for DB in comparison to WB. Therefore, some feasible corrections of the formulations for chord rotations are proposed, in order to reduce the bias and thus increase the robustness of the model for cross-section shape variability.Gómez-Martínez, F.; Perez-Garcia, A. (2022). Yielding and Ultimate Deformations of Wide and Deep Reinforced Concrete Beams. Buildings. 12(11). https://doi.org/10.3390/buildings12112015121