Aplicaciones de software libre para docencia en ingeniería

Póster presentado en: VIII Jornadas de Innovación Docente de la UBU, Burgos, 5 de abril de 2016, organizadas por el Instituto de Formación e Innovación Educativa-IFIE de la Universidad de Burgo

Laboratorios virtuales y experimentos simulados para innovación docente

Póster presentado en: VIII Jornadas de Innovación Docente de la UBU, Burgos, 5 de abril de 2016, organizadas por el Instituto de Formación e Innovación Educativa-IFIE de la Universidad de Burgo

Programas de visualización 3D y servidores web de predicción de estructuras para la enseñanza en biotecnología

Póster presentado en: VIII Jornadas de Innovación Docente de la UBU, Burgos, 5 de abril de 2016, organizadas por el Instituto de Formación e Innovación Educativa-IFIE de la Universidad de Burgo

Distributed multivariate regression with unknown noise covariance in the presence of outliers: an MDL approach

We consider the problem of estimating the coefficients in a multivariable linear model by means of a wireless sensor network which may be affected by anomalous measurements. The noise covariance matrices at the different sensors are assumed unknown. Treating outlying samples, and their support, as additional nuisance parameters, the Maximum Likelihood estimate is investigated, with the number of outliers being estimated according to the Minimum Description Length principle. A distributed implementation based on iterative consensus techniques is then proposed, and it is shown effective for managing outliers in the data.Peer ReviewedPostprint (author's final draft

Textos e imágenes de un viaje educativo por el sureste de España : un patrimonio geológico en vías de desaparición

En el DVD “El sureste de España: un patrimonio geológico en vías de desaparición” se ha recopilado información en páginas html sobre la geología y minería de las zonas de Almería (Sorbas, Sierra Alhamilla, y el entorno del Cabo de Gata) y Murcia (La Unión y Mazarrón). El DVD contiene además de los textos, abundantes fotografías y clips de video mostrando las características más reseñables de estas zonas con especial dedicación a los afloramientos geológicos de la zona, así como a los problemas medioambientales, de diferente índole que se plantean en la actualidad

Large Nc scaling of meson masses and decay constants

We perform an ab initio calculation of the Nc scaling of the low-energy couplings of the chiral Lagrangian of low-energy strong interactions, extracted from the mass dependence of meson masses and decay constants. We compute these observables on the lattice with four degenerate fermions, Nf= 4 , and varying number of colours, Nc= 3 –6, at a lattice spacing of a≃ 0.075 fm. We find good agreement with the expected Nc scaling and measure the coefficients of the leading and subleading terms in the large Nc expansion. From the subleading Nc corrections, we can also infer the Nf dependence, that we use to extract the value of the low-energy couplings for different values of Nf. We find agreement with previous determinations at Nc= 3 and Nf= 2 , 3 and also, our results support a strong paramagnetic suppression of the chiral condensate in moving from Nf= 2 to Nf=

Geoguía 3: El Distrito Minero de La Unión, plomo, zinc, plata y estaño en la Sierra de Cartagena

El distrito minero de La Unión (Murcia) es uno de los sitios de interés geológico y minero más importantes de España, y junto con los distritos de Mazarrón y Rodalquilar constituye un extraordinario ejemplo de la relación entre el magmatismo mioceno del SE de España, la tectónica y los procesos metalogénicos. El distrito de La Unión ocupa una superficie de unos 10 x 5 km que encierra la mayor concentración de mineralizaciones de Pb-Zn de las Béticas y una de las mayores de España

Combination of global features for the automatic quality assessment of retinal images

Producción CientíficaDiabetic retinopathy (DR) is one of the most common causes of visual loss in developed countries. Computer-aided diagnosis systems aimed at detecting DR can reduce the workload of ophthalmologists in screening programs. Nevertheless, a large number of retinal images cannot be analyzed by physicians and automatic methods due to poor quality. Automatic retinal image quality assessment (RIQA) is needed before image analysis. The purpose of this study was to combine novel generic quality features to develop a RIQA method. Several features were calculated from retinal images to achieve this goal. Features derived from the spatial and spectral entropy-based quality (SSEQ) and the natural images quality evaluator (NIQE) methods were extracted. They were combined with novel sharpness and luminosity measures based on the continuous wavelet transform (CWT) and the hue saturation value (HSV) color model, respectively. A subset of non-redundant features was selected using the fast correlation-based filter (FCBF) method. Subsequently, a multilayer perceptron (MLP) neural network was used to obtain the quality of images from the selected features. Classification results achieved 91.46% accuracy, 92.04% sensitivity, and 87.92% specificity. Results suggest that the proposed RIQA method could be applied in a more general computer-aided diagnosis system aimed at detecting a variety of retinal pathologies such as DR and age-related macular degeneration.Ministerio de Ciencia, Innovación y Universidades - Fondo Europeo de Desarrollo Regional (projects RTC-2015-3467-1 and DPI2017-84280-R

Monitoring of Volatile Additives from Plant Protection Products in Tomatoes Using HS-SPME-GC-HRMS: Targeted and Suspect Approaches

Additives present in plant protection products (PPPs) are normally not monitored after sample treatments. In this study, the fate of additives detected by targeted and nontargeted analysis in tomato samples treated with two PPPs was carried out. The study was carried out in a greenhouse for 12 days, in which two applications with each PPP were made. Compounds were extracted by applying a headspace solid phase microextraction (HS-SPME) and analyzed by gas chromatography coupled to high resolution mass spectrometry (GC-HRMS), performing targeted and suspect approaches. Three targeted and 15 nontargeted compounds were identified at concentration levels of up to 150 μg/kg. Compounds detected encompassed benzene, toluene, indene, and naphthalene derivatives, as well as conservatives and flavouring compounds. Most of them degraded in less than 7 days after the second application, following first-order kinetic. This study aims to reduce knowledge gaps regarding additives and their fate under real climatic conditions of greenhouses cultivations.Spanish Ministry of Economy and Competitiveness (MINECO)FEDER-EU (project PID2019-106201RB-I00)Regional Government of Andalusia, SpainEuropean funds for financial support (project P18- RT-2329)Andalusian Ministry of Economic Transformation, Industry, Knowledge and Universities for financial support from “Ayudas para Captación, Incorporación y Movilidad de Capital Humano de I+D+i (PAIDI 2020)”University of Almería for his “Convocatoria de Recualificación do Sistema Universitario Español-Margarita Salas”“Plan de Recuperación Transformación” program funded by the Spanish Ministry of UniversitiesEuropean Union’s NextGenerationEU fund