Análisis semántico de la opinión de los ciudadanos en redes sociales en la ciudad del futuro

En este artículo se presenta un sistema automático de almacenamiento, análisis y visualización de información semántica extraída de mensajes de Twitter, diseñado para proporcionar a las administraciones públicas una herramienta para detectar y analizar de una manera sencilla y rápida los patrones de comportamiento de los ciudadanos, su opinión acerca de los servicios públicos, la percepción de la ciudad, los eventos de interés, etc. Además, puede ser usado como un sistema de alerta temprana, mejorando la eficiencia y rapidez de actuación de los sistemas de emergencia

TweetAlert: Sistema de análisis semántico de la voz de los ciudadanos en redes sociales en la ciudad del futuro

En este artículo se presenta un sistema automático de almacenamiento, análisis y visualización de información semántica extraída de mensajes de Twitter, diseñado para proporcionar a las administraciones públicas una herramienta para detectar y analizar de una manera sencilla y rápida los patrones de comportamiento de los ciudadanos, su opinión acerca de los servicios públicos, la percepción de la ciudad, los eventos de interés, etc. Además, puede ser usado como un sistema de alerta temprana, mejorando la eficiencia y rapidez de actuación de los sistemas de emergencia

Opinion Mining in Social Networks using Semantic Analytics in the City of the Future

En este artículo se presenta un sistema automático de almacenamiento, análisis y visualización de información semántica extraída de mensajes de Twitter, diseñado para proporcionar a las administraciones públicas una herramienta para analizar de una manera sencilla y rápida los patrones de comportamiento de los ciudadanos, su opinión acerca de los servicios públicos, la percepción de la ciudad, los eventos de interés, etc. Además, puede usarse como sistema de alerta temprana, mejorando la rapidez de actuación de los servicios de emergencia.In this paper, a real-time analysis system to automatically record, analyze and visualize high level aggregated information of Twitter messages is described, designed to provide public administrations with a powerful tool to easily understand what the citizen behaviour trends are, their opinion about city services, their perception of the city, events of interest, etc. Moreover, it can used as a primary alert system to improve emergency services.Este trabajo ha sido financiado parcialmente por el proyecto Ciudad2020: Hacia un nuevo modelo de ciudad inteligente sostenible (INNPRONTA IPT-20111006)

Agro-Industrial Waste as Potential Heavy Metal Adsorbents and Subsequent Safe Disposal of Spent Adsorbents

Water pollution is an environmental problem that affects the ecosystem and living beings. Adsorption is one of the best technologies for the removal of heavy metals. Since waste recovery is the basis of the Circular Economy, agro-industrial waste is emerging as low-cost adsorbents for these pollutants from wastewater. Residues of pine sawdust, sunflower seed hulls and corn residues mix were evaluated as adsorbents of synthetic aqueous solutions of Ni(II), Zn(II) and Cd(II). These residues were characterized to determine their structure and composition, and to understand the adsorption mechanism. Adsorption efficiencies and capacities for the adsorbents and adsorbates were determined and compared. From the obtained results, it is possible to affirm that all biomasses used are good alternatives to the synthetic materials, with adsorption efficiencies greater than 50%. The order of adsorption was Cd > Zn > Ni. At the concentration range checked, adsorption efficiencies decreased in sawdust when a mixture of all metals together was considered (as present in real sewage). Finally, the heavy metals were immobilized, with efficiencies over 88.5%, in clay ceramics (as brick's precursors). This procedure would help to minimize the contamination that could be generated by the disposal of spent adsorbents, rarely explored in the literature

Propuesta multimodal para la enseñanza del género teatral en 2º ESO: roleplaying a través de Instagram y radioteatro

El presente trabajo aborda la enseñanza del género teatral en 2º ESO en un contexto forzado de confinamiento fruto de la pandemia covid-19. Siguiendo las bases de la educación literaria se detalla una propuesta multimodal que parte del papel activo del alumnado y que trata de mantener la motivación y el interés por la materia. Para ello se plantean actividades como una videoreseña de Historia de una escalera realizada a través de Instagram o la elaboración individual de una obra de radioteatro desde casa. La secuencia didáctica, que se impartió de forma no presencial sobre 51 alumnos del IES Bajo Aragón de Alcañiz entre abril y mayo de 2020, ofrece algunas claves acerca de la teledocencia y certifica las potencialidades del radioteatro como herramienta educativa.<br /

Ceramic bricks using pistachio shells as controlled porosity former

The present work studies the use of pistachio shells as a porosity-forming raw material in the manufacture of ceramic bricks. It focuses on the characteristics of the ceramic pieces obtained with different residual biomass contents (from 5 to 20% by volume). The specimens were shaped by uniaxial pressure of 25 MPa, and then were treated at 950°C for 3h. Based on the results obtained it is possible to conclude that the use of this residual biomass, as a pore former in the ceramic industry is feasible. The proportion of added biomass that generates the best characteristics and properties in the final product is 10%. Up to this percentage of aggregate, ceramic pieces with very good macroscopic and microscopic characteristics are obtained, with porosity and flexural strength values that meet market requirements for this type of product. Optical microscopy technique has been used to carry out a detailed analysis of the shape and size of the formed pores, which is a specific objective of this work. It has been observed that for contents of 5 and 10% biomass, the shape of pores is similar to the shape of the particles of added pistachio shells, while for higher contents (15 and 20%) it is different with elongated characteristics. In relation with the size of the pores, at lower contents is around 60% of the original particles size, and for the higher percentages of biomass, they are larger, indicating that agglomerates of particles are formed and when combusted, produce that porosity characteristics

Psychological Profile in Female Cyclists and Its Relationship with Age, Training Parameters, Sport Performance, and Injury Incidence.

Previous studies have highlighted the importance of psychology on sports performance and its relationship with the incidence of sport injuries. The objectives of the present investigation were: (1) to analyze the psychological profile of female cyclists as a function of age, training parameters, sport performance, and injuries suffered and (2) to design a model to predict their psychological profile. Sixty-one female cyclists participated in the study. Differences were found as a function of a competitive category for team cohesion (F = 5.035; p = 0.002), sport level effect on performance evaluation (F = 5.030; p = 0.004) and team cohesion (F = 64.706; p = 0.000), the effect of having reached the podium in the last competition on performance evaluation (t = 2.087; p = 0.041) and motivation (t = 4.035; p = 0.000), and injury severity on stress management (F = 6.204; p = 0.008). The factors that affected the psychological profile of the female cyclists the most, in addition to the independent psychological parameters, were the number of podiums in the last year and the years of cycling experience. In conclusion, there is an interaction between the psychological profile, sociodemographic variables, training, performance, and injuries suffered in female cyclists

Correlación entre el control metabólico y el nivel de actividad física en usuarios diagnosticados con Diabetes Mellitus tipo 1 hospital El Pino, año 2016-2017

Tesis (Licenciatura en Kinesiología)Determinar la correlación entre la actividad física realizada en tiempo libre y el control metabólico, medido a través de la hemoglobina glicosilada (HbA1c) en usuarios diagnosticados con diabetes mellitus tipo 1, en el hospital del pino durante el año 2016-2017. Este proceso investigativo corresponde a un estudio de tipo observacional de diseño transversal con hipótesis correlacional. Para poder obtener la información sobre la cantidad de actividad física realizada en tiempo libre se realizó a cada paciente el cuestionario sobre actividad física global (GPAQ). Para obtener información acerca de la HbA1c se realizó una búsqueda de datos en la ficha clínica de cada paciente. Para obtener información respecto a otras co-variables se realizó el test de Fagerstrom para identificar el nivel de dependencia a la nicotina (en caso de fumadores), el test de AUDIT (Alcohol Use Disorders Identification Test) para identificar si existe consumo riesgoso de alcohol, el nivel educacional de cada paciente mediante la pregunta ¿Cuál fue su último año de estudio aprobado?, farmacología y adherencia al tratamiento mediante las preguntas ¿Qué medicamentos toma?, ¿Ha olvidado tomar sus medicamentos en los últimos 7 días?. Para la realización del análisis estadístico se utilizó STATA. Resultados: El tamaño de la muestra total en esta investigación corresponde a 52 personas, las cuales tenían un promedio de edad de 31.05 años (DS±10.05). El promedio total de HbA1c que tenía la muestra es de 9.32% (DS±2.24). La cantidad de actividad física en tiempo libre según GPAQ realizada por la muestra arrojó que solo un 30.67% se los encuestados se clasifica como físicamente activos, mientras que un 69.23% del total se clasifica como Insuficientemente Activo. La adherencia al tratamiento fue de un 100%, el 100% de los participantes tiene una baja dependencia a la nicotina y una baja dependencia al alcohol. La correlación entre las variables de Hb1Ac y nivel de actividad física fue negativa (-0.0653), y la significancia dio como resultado (0.654), por lo que la correlación no es significativa. Se concluyó que no existe correlación entre el control metabólico y el nivel de actividad física realizada en tiempo libre. Este resultado no coincide con el sustento teórico existente, ya que variadas investigaciones han demostrado que el realizar actividad física contribuye a una mejora en el control metabólico, información que también exponemos en este estudio. Una de las grandes complicaciones identificadas en nuestra investigación fue la falta de cultura como sociedad chilena a la realización de actividad física puesto que al ser tan reducida la población físicamente activa condiciona a una dificultad en el análisis e interpretación de los resultados para extrapolarse a conclusiones realistas

BiSon-e: a lightweight and high-performance accelerator for narrow integer linear algebra computing on the edge

Linear algebra computational kernels based on byte and sub-byte integer data formats are at the base of many classes of applications, ranging from Deep Learning to Pattern Matching. Porting the computation of these applications from cloud to edge and mobile devices would enable significant improvements in terms of security, safety, and energy efficiency. However, despite their low memory and energy demands, their intrinsically high computational intensity makes the execution of these workloads challenging on highly resource-constrained devices. In this paper, we present BiSon-e, a novel RISC-V based architecture that accelerates linear algebra kernels based on narrow integer computations on edge processors by performing Single Instruction Multiple Data (SIMD) operations on off-The-shelf scalar Functional Units (FUs). Our novel architecture is built upon the binary segmentation technique, which allows to significantly reduce the memory footprint and the arithmetic intensity of linear algebra kernels requiring narrow data sizes. We integrate BiSon-e into a complete System-on-Chip (SoC) based on RISC-V, synthesized and Place Routed in 65nm and 22nm technologies, introducing a negligible 0.07% area overhead with respect to the baseline architecture. Our experimental evaluation shows that, when computing the Convolution and Fully-Connected layers of the AlexNet and VGG-16 Convolutional Neural Networks (CNNs) with 8-, 4-, and 2-bit, our solution gains up to 5.6×, 13.9× and 24× in execution time compared to the scalar implementation of a single RISC-V core, and improves the energy efficiency of string matching tasks by 5× when compared to a RISC-V-based Vector Processing Unit (VPU).This research was supported by the European Union Regional Development Fund within the framework of the ERDF Operational Program of Catalonia 2014-2020 with a grant of 50% of the total cost eligible, under the DRAC project [001-P-001723], and from the Spanish State Research Agency - Ministry of Science and Innovation (contract PID2019-107255GB). This research was also supported by the grant PRE2020-095272 funded by MCIN/AEI/ 10.13039/501100011033 and, by “ESF Investing in your future”.Peer ReviewedPostprint (author's final draft

Assessing the performance of a handheld laser scanning system for individual tree mapping—A mixed forests showcase in Spain

Producción CientíficaThe use of mobile laser scanning to survey forest ecosystems is a promising, scalable technology to describe the 3D structure of forests at a high resolution. We use a structurally complex, mixed-species Mediterranean forest to test the performance of a mobile Handheld Laser Scanning (HLS) system to estimate tree attributes within a forest patch in central Spain. We describe the different stages of the HLS approach: field position, ground data collection, scanning path design, point cloud processing, alignment between detected trees and measured reference trees, and finally, the assessment of main tree structural attributes diameter at breast height (DBH) and tree height considering species and tree size as control factors. We surveyed 418 reference trees to account for omission and commission error rates over a 1 ha plot divided into 16 sections and scanned using two different scanning paths. The HLS-based approach reached a high of 88 and 92% tree detection rate for the best combination of scanning path and point cloud processing modes for the HLS system. The root mean squared errors for DBH estimates varied between species: errors for Pinus pinaster were below 2 cm for Scan 02. Quercus pyrenaica, and Alnus glutinosa showed higher error rates. We observed good agreement between ALS and HLS estimates for tree height, highlighting differences to field measurements. Despite the complexity of the mixed forest area surveyed, our results show that HLS is highly efficient at detecting tree locations, estimating DBH, and supporting tree height measurements as confirmed with airborne laser data used for validation. This study is one of the first HLS-based studies conducted in the Mediterranean mixed forest region, where variability in tree allometries and spacing and the presence of natural regeneration pose challenges for the HLS approach. HLS is a feasible, time-efficient, scalable technology for tree mapping in mixed forests with potential to support forest monitoring programmes such as national forest inventories lacking three-dimensional, remote sensing data to support field measurements.European Union’s Horizon 2020 and Innovation Program Marie Skłodowska-Curie - (Grant 956355)Junta de Castilla y León y Fondo Europeo de Desarrollo Regional (FEDER) - (projects “CLU‑2019‑01 and CL‑EI‑2021‑05—iuFOR Institute Unit of Excellence”)Fondo Europeo de Desarrollo Regional (FEDER), project Interreg COMFOR‑SUDOE - (grant SOE4/P1/E1012