An Experience in Automatically Building Lexicons for Affective Computing in Multiple Target Languages

Affective Computing in text attempts to identify the emotional charge reflected in it, trying to analyse the moods transmitted while writing. There are several techniques and approaches to perform Affective Computing in texts, but lexicons are their common point. However, it is difficult to find solutions for specific languages different from English. Thus, this article presents an experience in automatically generating lexicons to perform Affective Computing following a multiple-target languages approach. The experience starts with some initial seeds of words in English that define the emotions we want to identify. It then expands them as much as possible with related words in a bootstrapping process and finally obtains a lexicon by processing the context sentences from parallel translated text where the terms have been used. We have checked the resulting lexicons by conducting an exploratory analysis of the affective fingerprint on a parallel corpus with books translated from and to different languages. The obtained results look promising, showing really similar affective fingerprints in different language translations for the same books.The authors are grateful to anonymous referees for providing constructive comments and helping to improve the contents of this manuscript. The research of the authorswas supported in part by theARTEMISJoint Undertaking under grant agreement no. 295373 (project nSafeCer) and by National funding. The research of Ricardo J. Rodríguez was also supported in part by EU Horizon 2020 research and innovation programme under grant agreement no. 644869 (DICE) and by Spanish MINECO project CyCriSec (TIN2014-58457-R). The research of Clara Benac Earle was also supported by Spanish MINECO project STRONGSOFT (TIN2012-39391-C04-02) and by the Madrid Regional Government project nGreens (S2013/ICE-2731)

Dos mil quinientas voces castizas y bien autorizadas que piden lugar en nuestro léxico

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Biomass-Derived Carbon Molecular Sieves Applied to an Enhanced Carbon Capture and Storage Process (e-CCS) for Flue Gas Streams in Shallow Reservoirs

The authors give thanks to Universidad Nacional de Colombia and the University of Granada for the logistical and financial support.It is possible to take advantage of shallow reservoirs (<300 m) for CO2 capture and storage in the post-combustion process. This process is called enhanced carbon capture and storage (e-CCS). In this process, it is necessary to use a nano-modifying agent to improve the chemical-physical properties of geological media, which allows the performance of CO2 selective adsorption to be enhanced. Therefore, this study presents the development and evaluation of carbon sphere molecular nano-sieves (CSMNS) from cane molasses for e-CSS. This is the first report in the scientific literature on CSMNS, due to their size and structure. In this study, sandstone was used as geological media, and was functionalized using a nanofluid, which was composed of CNMNS dispersed in deionized water. Finally, CO2 or N2 streams were used for evaluating the adsorption process at different conditions of pressure and temperature. As the main result, the nanomaterial allowed a natural selectivity towards CO2, and the sandstone enhanced the adsorption capacity by an incremental factor of 730 at reservoir conditions (50 ◦C and 2.5 MPa) using a nanoparticle mass fraction of 20%. These nanofluids applied to a new concept of carbon capture and storage for shallow reservoirs present a novel landscape for the control of industrial CO2 emissions.Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias 647-2014Fondo Nacional de Financiamiento para la Ciencia, la Tecnologia y la Innovacion "FRANCISCO JOSE DE CALDAS"Agencia Nacional de Hidrocarburos (ANH)Departamento Administrativo de Ciencia, Tecnologia e Innovacion ColcienciasUniversidad Nacional de ColombiaERDF/Ministry of Science, Innovation and Universities-State Research Agency RTI2018-099224-B-I0

Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring

The study presents a novel computational intelligence algorithm designed to optimise energy consumption in an environmental monitoring process: specifically, water level measurements in flooded areas. This algorithm aims to obtain a tradeoff between accuracy and power consumption. The implementation constitutes a data aggregation and fusion in itself. A harsh environment can make the direct measurement of flood levels a difficult task. This study proposes a flood level estimation, inferred through the measurement of other common environmental variables. The benefit of this algorithm is tested both with simulations and real experiments conducted in Donñana, a national park in southern Spain where flood level measurements have traditionally been done manually.Junta de Andalucía P07-TIC-0247

Lo necrológico en la producción científica de la Dra. Rosario Camacho Martínez.

El interés de Rosario Camacho por la multiplicidad de mensajes y la cultura simbólica de carácter funerario fue, inicialmente, una consecuencia natural de sus investigaciones sobre la arquitectura barroca. En uno de sus libros más reconocidos, Málaga barroca. Arquitectura religiosa de los siglos XVII y XVIII (1981) analizó el panteón de los condes de Buenavista en la iglesia del monasterio de la Victoria y su impresionante conjunto de relieves y esculturas en torno a la muerte, recogiendo algunas de las interpretaciones que hasta entonces se habían realizado, como las de Juan Temboury o Santiago Sebastián. El carácter excepcional del conjunto arquitectónico de la iglesia, el monasterio, y especialmente, de la rica y original superposición de espacios verticales integrado por el mencionado panteón, la sacristía y el camarín de la Virgen, justifican la atención pormenorizada que se le prestó en una de las carpetas que, incluyendo planimetría y dedicadas al Barroco, fueron publicadas por el Colegio de Arquitectos de Málaga. La titulada El Santuario de la Victoria de Málaga (1986) tuvo por autores a Rosario Camacho y al arquitecto José María Romero

Obras

Complemento de la memoria sobre Espinosa.Copia digital : Diputación de Málaga. Biblioteca Canovas del Castillo, 201

Panegírico a la Ciudad de Antequera

El texto original procede de la edición: PANEGÍRICO A LA NOBILISSIMA, LEAL, AUGUSTA, FELICE CIUDAD ANTEQUERA. Su hijo Pedro Espinosa, Capellán del Excelentíssimo Señor Duque de Medina Sidonia. Rector del Colegio de San Ildefonso. Con licencia. Impresso en Xerez de la Frontera, por Fernando Rey. Año 1626.Dedicatoria autógrafa de F. Rodríguez Marín.Copia digital : Diputación de Málaga. Biblioteca Canovas del Castillo, 201

An experience on the correlation analysis between academic marks and emotions

This article is an extended and modified version of a paper presented at the Third International Workshop on Adaptive Learning via Interactive, Collaborative and Emotional approaches (ALICE 2013), held on July 3-5, 2013, in Taichung, Taiwan, in conjunction with the 7th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2013)Observe appropriate evidence that pointing emotions plays an important role in the learning process. However, there is no precedent of a research analyzing the relationship between emotions and academic marks using text analysis. Thus, in this article, we show the experience we have performed in order to analyze the possible existing correlations between student marks, assigned by both their classmates and by their instructors, and the emotion traces that can be found in their writings. To that end, we gathered data corresponding to text contributions of a course on Computer Systems in our University and perform the correspondent analysis. The obtained results look to indicate that some kind of correlation exists between marks and emotions in both the highest and the lowest marks.This research was partially funded by the Spanish National Plan of R+D, project numbers TIN2010-17344, TIN2011-24139 and TIN2011-29542-C02-02, and by the Autonomous Community of Madrid, e-Madrid project, number S2009/TIC-1650