Data Science and Big Data in Energy Forecasting

This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, which was published at MDPI’s Energies journal. The special issue took place in 2017 and accepted a total of 13 papers from 7 different countries. Electrical, solar and wind energy forecasting were the most analyzed topics, introducing new methods with applications of utmost relevance.Ministerio de Competitividad TIN2014-55894-C2-RMinisterio de Competitividad TIN2017-88209-C2-

Evaluación formativa con feedback rápido usando mandos interactivos

Numerosos estudios han demostrado que el uso del feedback como herramienta docente resulta beneficioso para el aprendizaje. Para que este feedback sea útil debe ser rápido, es decir, llegar al alumno poco después de haber realizado su tarea.En este artículo presentamos resultados de una prueba piloto en la que se ha usado una herramienta para proporcionar feedback basada en transparencias y mandos interactivos. Con esta herramienta los alumnos contestan todos a la vez a preguntas realizadas en clase. La herramienta recopila los datos y ofrece estadísticas inmediatas sobre las respuestas de los alumnos. Esto permite al profesor detectar los errores comunes y enfatizar aquellos aspectos más deficitarios para los alumnos, proporcionando feedback inmediato. En este trabajo explicamos las características de la herramienta, el entorno de trabajo, los beneficios aportados, las deficiencias observadas y las incidencias producidas. Finalmente proporcionamos una evaluación estadística de la prueba, tanto a través de encuestas a los estudiantes como analizando sus resultados académicos.Peer Reviewe

Relación entre estado de salud bucal y calidad de vida de los adultos de 35-44 años de la región del Maule, Chile, 2011.

81 p.INTRODUCCIÓN: La salud bucal es esencial para una óptima calidad de vida. En Chile, un tercio de la población de 20 a 44 años declara que su salud bucal afecta su calidad de vida. Con la implementación del GES se ha asegurado cobertura odontológica a niños, embarazadas y adultos mayores. Entre otros factores, una escasez de estudios para los adultos de 35 a 44 años imposibilita la ampliación de la cobertura a este rango etario.OBJETIVO: Determinar la relación entre el estado de salud bucal y la calidad de vida de los adultos de 35 - 44 años de la Región del Maule, Chile, 2011. SUJETOS Y MÉTODO: Estudio analítico transversal. Se realizó un examen clínico a 436 adultos de 35 a 44 años, para evaluar COPD, IPC e IPI. Se aplicó el GOHAI y se les solicitó que completaran una ficha sociodemográfica. Estos datos fueron analizados mediante tablas de frecuencias y porcentajes, además de tablas de contingencia, para describir la muestra y test de correlación (Coef. Correlación de Pearson, Tau C de Kendall) para conocer la relación entre variables, con un nivel de significancia de 95%. RESULTADOS: Se encontró alta prevalencia de caries y enfermedad periodontal, También se encontró una mala calidad de vida en relación a la salud bucal. La dimensión más afectada del GOHAI fue la función psicosocial. Se encontró correlación entre COPD, componente C, P, IPC y GOHAI. CONCLUSIÓN: La realidad bucodental de la población adulta de la región del Maule es mala. Así mismo, la calidad de vida relacionada con la salud bucal es baja, y se encuentra en relación a los indicadores de salud de manera débil PALABRAS CLAVES: Salud bucal, calidad de vida, COPD, IPC, GOHAI /ABSTRACT: INTRODUCTION: Oral health is essential for optimal quality of life. In Chile, a third of the population aged 20 to 44 said that your oral health affects their quality of life. With the implementation of GES has ensured dental coverage to children, pregnant women and elderly. Among other factors, a dearth of studies for adults 35 to 44 years precludes the extension of coverage to this age range. OBJECTIVE: To determine the relationship between oral health status and quality of life of adults 35-44 years of the Maule Region, Chile, 2011. SUBJECTS AND METHODS: Cross-sectional analytical study. A clinical examination to 436 adults aged 35 to 44 years was conducted to assess COPD, CPI and IPI. The GOHAI was applied and were asked to complete a sociodemographic record. These data were analyzed using frequency tables and percentages, plus contingency tables to describe the sample and test correlation (Coef. Pearson correlation, Tau C Kendall) to determine the relationship between variables with a significance level 95%. RESULTS: High prevalence of caries and periodontal disease was found, a poor quality of life in relation to oral health was also found. The most affected was GOHAI dimension of psychosocial function. Correlation between COPD, component C, P, and IPC GOHAI found.CONCLUSION: Oral reality of the adult population in the region of Maule is bad. Likewise, the quality of life related to oral health is low, and is in relation to health indicators weakly KEYWORDS: Oral health, quality of life, COPD, IPC, GOHA

Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences

This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model. When real-world time series are forecasted, there exist many samples whose values may be specially unexpected. By the combination of frequent episodes and the LBF algorithm, the new procedure does not make better predictions over these outliers but, on the contrary, it is able to predict the apparition of such atypical samples with a great accuracy. In short, this work shows how to detect the occurrence of anomalous samples in time series improving, thus, the general forecasting scheme. Moreover, this hybrid approach has been successfully tested on electricity-related time series

WLANS (Wireless Local Area Networks): descripción y aplicaciones

Peer Reviewe

Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps

Remote sensing based on imagery has traditionally been the main tool used to extract land uses and land cover (LULC) maps. However, more powerful tools are needed in order to fulfill organizations requirements. Thus, this work explores the joint use of orthophotography and LIDAR with the application of intelligent techniques for rapid and efficient LULC map generation. In particular, five types of LULC have been studied for a northern area in Spain, extracting 63 features. Subsequently, a comparison of two well-known supervised learning algorithms is performed, showing that C4.5 substantially outperforms a classical remote sensing classifier (PCA combined with Naive Bayes). This fact has also been tested by means of the non-parametric Wilcoxon statistical test. Finally, the C4.5 is applied to construct a model which, with a resolution of 1 m 2, obtained precisions between 81% and 93%

Recent Advances in Energy Time Series Forecasting

This editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published in MDPI’s Energies journal. The special issue took place in 2016 and accepted a total of 21 papers from twelve different countries. Electrical, solar, or wind energy forecasting were the most analyzed topics, introducing brand new methods with very sound results.Ministerio de Economía y Competitividad TIN2014-55894-C2-

Phytochemical-Based Nanomaterials against Antibiotic-Resistant Bacteria: An Updated Review

Antibiotic-resistant bacteria (ARB) is a growing global health threat, leading to the search for alternative strategies to combat bacterial infections. Phytochemicals, which are naturally occurring compounds found in plants, have shown potential as antimicrobial agents; however, therapy with these agents has certain limitations. The use of nanotechnology combined with antibacterial phytochemicals could help achieve greater antibacterial capacity against ARB by providing improved mechanical, physicochemical, biopharmaceutical, bioavailability, morphological or release properties. This review aims to provide an updated overview of the current state of research on the use of phytochemical-based nanomaterials for the treatment against ARB, with a special focus on polymeric nanofibers and nanoparticles. The review discusses the various types of phytochemicals that have been incorporated into different nanomaterials, the methods used to synthesize these materials, and the results of studies evaluating their antimicrobial activity. The challenges and limitations of using phytochemical-based nanomaterials, as well as future directions for research in this field, are also considered here. Overall, this review highlights the potential of phytochemical-based nanomaterials as a promising strategy for the treatment against ARB, but also stresses the need for further studies to fully understand their mechanisms of action and optimize their use in clinical setting