Mapeo y cuantificación de las infestaciones de Orobanche crenata en guisantes mediante teledetección

Póster presentado en el XIII Congreso Nacional de Malherbología celebrado en La Laguna (Tenerife) en noviembre de 2011.Los jopos (Orobanche crenata Forsk.) son especies parásitas de cultivos leguminosos, muy extendidas en el área mediterránea (García-Torres et al., 1994). La agricultura de precisión trata de determinar y manejar la distribución espacial de factores bióticos, tales como malas hierbas y patógenos, y de factores abióticos y así fundamentar la aplicación de inputs a dosis variables, ajustados a las necesidades de pequeñas aéreas o sub-parcelas. El objetivo de este trabajo es describir brevemente la discriminación de rodales de jopos en el cultivo de guisante (Pisum sativum L.) mediante imágenes remotas multiespectrales y su manejo de precisión mediante el software SARI® (Sectioning and Assessment of Remote Images) un módulo complementario de ENVI® que divide y cuantifica la imagen de una parcela en sub-parcelas.Esta investigación se ha financiado en parte a través de los proyectos AGL2007-60926 (FEDER) y AGL2010-15506 (FEDER).Peer reviewe

Using Fuzzy Patterns for Gene Selection and Data Reduction on Microarray Data

The advent of DNA microarray technology has supplied a large volume of data to many fields like machine learning and data mining. Intelligent support is essential for managing and interpreting this great amount of information. One of the well-known constraints specifically related to microarray data is the large number of genes in comparison with the small number of available experiments. In this context, the ability of design methods capable of overcoming current limitations of state-of-the-art algorithms is crucial to the development of successful applications. In this paper we demonstrate how a supervised fuzzy pattern algorithm can be used to perform DNA microarray data reduction over real data. The benefits of our method can be employed to find biologically significant insights relating to meaningful genes in order to improve previous successful techniques. Experimental results on acute myeloid leukemia diagnosis show the effectiveness of the proposed approach

Applying GCS Networks to Fuzzy Discretized Microarray Data for Tumour Diagnosis

Gene expression profiles belonging to DNA microarrays are composed of thousands of genes at the same time, representing the complex relationships between them. In this context, the ability of designing methods capable of overcoming current limitations is crucial to reduce the generalization error of state-of-the-art algorithms. This paper presents the application of a self-organised growing cell structures network in an attempt to cluster biological homogeneous patients. This technique makes use of a previous successful supervised fuzzy pattern algorithm capable of performing DNA microarray data reduction. The proposed model has been tested with microarray data belonging to bone marrow samples from 43 adult patients with cancer plus a group of six cases corresponding to healthy persons. The results of this work demonstrate that classical artificial intelligence techniques can be effectively used for tumour diagnosis working with high-dimensional microarray data

Sectioning remote imagery for characterization of Avena sterilis infestations. Part A: Weed abundance

Software was developed to spatially assess key crop characteristics from remotely sensed imagery. Sectioning and Assessment of Remote Images (SARI ®), written in IDL ® works as an add-on to ENVI ®, has been developed to implement precision agriculture strategies. SARI ® splits field plot images into grids of rectangular >micro-images> or >micro-plots>. The micro-plot length and width were defined as multiples of the image spatial resolution. SARI ® calculates different indicators for each micro-plot, including the integrated pixel digital values. Studies on weed patches were done with SARI ® using ground-truth data and remote images of two wheat plots infested with Avena sterilis at LaFloridaII and Navajas (Southern Spain). Patches of A. sterilis represented 47.5 and 19.2% of the field areas at the two locations, respectively; the infested areas were a combination of a few large and several small patches. At LaFloridaII, 2.1% of all patches were >500 m 2 and 55.0% of all patches were smaller than 10 m 2. Based on ground-truth weed abundance data, SARI ® output includes geo-referenced and visual herbicide prescription maps, which could be used with variable-rate application equipment. © 2011 Springer Science+Business Media, LLC.This research was partially financed by the Spanish Commission of Science and Technology through the projects AGL2007-60926 and AGL2010-15506.This research was partially financed by the Spanish Commission of Science and Technology through the projects AGL2007-60926 and AGL2010-15506.Peer Reviewe

Relaxing Feature Selection in Spam Filtering by Using Case-Based Reasoning Systems

This paper presents a comparison between two alternative strategies for addressing feature selection on a well known case-based reasoning spam filtering system called SpamHunting. We present the usage of the k more predictive features and a percentage-based strategy for the exploitation of our amount of information measure. Finally, we confirm the idea that the percentage feature selection method is more adequate for spam filtering domain

Managing irrelevant knowledge in CBR models for unsolicited e-mail classification

The problem of unsolicited e-mail has been increasing during recent years. Fortunately, some advanced technologies have been successfully applied to spam filtering, achieving promising results. Recently, we have introduced SpamHunting, a successful spam filter able to address the concept drift problem by combining a relevant term identification technique with an evolving sliding window strategy. Several successful spam filtering techniques use continuous learning strategies to achieve better adaptation capabilities and address concept drift issues. Nevertheless, due to the presence of concept drift and hidden changes in the environment, the presence of obsolete and irrelevant knowledge becomes a serious drawback. Soon after the launch of the filter, many decisions are made based on irrelevant and/or obsolete knowledge. Therefore, in such a situation, the use of forgetting strategies is as important as the implementation of continuous learning approaches. In this paper we introduce a novel technique designed for identifying and removing the obsolete and irrelevant knowledge that has accumulated over to the passage of time. We have carried out several experiments to test for the suitability of our proposal showing the results obtained and its applicability

Loss of smell and taste can accurately predict COVID-19 infection: a machine-learning approach

The COVID-19 outbreak has spread extensively around the world. Loss of smell and taste have emerged as main predictors for COVID-19. The objective of our study is to develop a comprehensive machine learning (ML) modelling framework to assess the predictive value of smell and taste disorders, along with other symptoms, in COVID-19 infection. A multicenter case-control study was performed, in which suspected cases for COVID-19, who were tested by real-time reversetranscription polymerase chain reaction (RT-PCR), informed about the presence and severity of their symptoms using visual analog scales (VAS). ML algorithms were applied to the collected data to predict a COVID-19 diagnosis using a 50-fold cross-validation scheme by randomly splitting the patients in training (75%) and testing datasets (25%). A total of 777 patients were included. Loss of smell and taste were found to be the symptoms with higher odds ratios of 6.21 and 2.42 for COVID-19 positivity. The ML algorithms applied reached an average accuracy of 80%, a sensitivity of 82%, and a specificity of 78% when using VAS to predict a COVID-19 diagnosis. This study concludes that smell and taste disorders are accurate predictors, with ML algorithms constituting helpful tools for COVID-19 diagnostic prediction.Junta de Andalucí

Aerial Photogrammetry by drone in archaeological sites with large structures. Methodological approach and practical application in the medieval castles of Campo de Montiel

[EN] By writing this article we aim to illustrate the interesting combination of two existing techniques, accessible both for research groups and for professionals who want to study archaeological heritage: photogrammetry and aerial photography using a drone. We have applied these techniques to archaeological sites with standing structures, such as medieval castles in “Campo de Montiel” (Ciudad Real). Based on our expertise and experience, we have developed methodology for surface archaeological research, excavation and wall stratigraphy, thus identifying positive and negative aspects of this ethodology. The results obtained are truly positive, as we generated high-quality images offering news opportunities to investigate and show results, saving a considerable amount of time and money compared to traditional methods for graphical documentation.[ES] El objeto principal de este artículo es exponer el valor combinado de dos técnicas ya maduras y accesibles tanto a grupos de investigación como a profesionales para el estudio de patrimonio arqueológico: la fotogrametría y la fotografía aérea por drone. En nuestro caso las hemos aplicado a yacimientos con grandes estructuras emergentes como son los castillos medievales del Campo de Montiel (Ciudad Real). A partir de nuestra experiencia, se ha desarrollado una metodología aplicable a trabajos de prospección arqueológica de superficie, excavación y lectura de paramentos, identificando tanto las limitaciones como las ventajas o virtudes del método. Los resultados obtenidos son altamente positivos, generando imágenes de alta calidad que ofrecen nuevas posibilidades para la investigación y la presentación de resultados, lográndose además un considerable ahorro de tiempo y dinero con respecto a los métodos de documentación gráfica tradicionales.Ruiz Sabina, JÁ.; Gallego Valle, D.; Peña Ruiz, C.; Molero García, JM.; Gómez Laguna, A. (2015). Fotogrametría aérea por drone en yacimientos con grandes estructuras. Propuesta metodológica y aplicación práctica en los castillos medievales del Campo de Montiel. Virtual Archaeology Review. 6(13):5-19. doi:10.4995/var.2015.4366SWORD519613AYALA MARTÍNEZ, C. de (1996): "Las Órdenes Militares y la ocupación del territorio manchego (siglos XII-XIII)", en Alarcos 1195. Actas del congreso internacional conmemorativo del VIII centenario de la batalla de Alarcos. Cuenca, pp. 49-104.BEZZI, A. (2013): "Caldonazzo castle - from ruins to archaeological 3D reconstruction", en ATOR (Arc-Team Open Research), 9 de diciembre de 2013 [on line] http://arc-team-open-research.blogspot.com.es/2013/12/caldonazzo-castle-from-ruins-to.html [Consulta: 12-09-2014].CLERCQ W. de; REU, J. de; SERGANT, J.; DECIBYNCK, J.; LALOO P. (2013): "Orthophoto mapping and digital Surface modeling for archaelogical excavations", en Digital Heritage International Congress Vol. 1 pp. 205-208 [on line] http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6743734 Consulta [13-9-2014].CUELI LÓPEZ, J. T. (2011): Fotogrametría práctica, tutorial Photomodeler. Ediciones Tantín. Torrelavega (Cantabria).DELLEPIANE, M.; DELL'UNTO N.; GALLIERI, M.; LINDGREN S.; SCOPIGNO, R. (2013): "Arqueological excavation monitoring using dense stereo matchin techniques", en Journal of Cultural Heritage, Vol. 14, Issue 3, pp. 201-213 [on line] http://www.sciencedirect.com/science/article/pii/S1296207412000258. Consultado [13-9-2014].DONEUS, M.; VERHOEVEN G.; FERA M.; BRIESE CH.; KUCERA M.; NEUBAUERT W. (2011): "From deposit to point could - a study of low-cost computer visión approaches for the straightforeard documentation of archaeological excavations" in Geoinformatics CTU FCE, 6. [on line] http://pub-geo.tuwien.ac.at/showentry.php?ID=206899〈=6&nohtml=1. Consultado [12-9-2014].GALLEGO VALLE, D. y LILLO FERNÁNDEZ, E. (2012): "Estudio arqueológico del castillo de La Estrella (Montiel) a través de sus técnicas constructivas", en Castillos de España, nº 167-170, pp. 155-160.GALLEGO VALLE, D. (2014): "Un espacio fortificado: el Campo de Montiel en tiempo de Las Navas", en La Península Ibérica en tiempos de Las Navas de Tolosa, Monografías de la Sociedad Española de Estudios Medievales, 5. Madrid, pp. 155-168.JAMES, M. R. y ROBSON, S. (2012): "Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application", en Journal of Geophysical Research. Earth Surface, nº 117 [on line] http://onlinelibrary.wiley.com/doi/10.1029/2011JF002289/full. Consulta [12-9-2014].LUIS RIVAS I. (2013): Toma de datos fotogramétricos, reconstruccion virtual, realidad aumentada y difusion en la red de la iglesia de Nuestra Señora de la Asunción, Mombuey (Zamora). Trabajo Fin del Máster en geotecnologías cartográficas en ingeniería y arquitectura. Unversidad de Salamanca-Universidad de Valladolid, [on line] http://hdl.handle.net/10366/122177 [Consulta: 10-09-2014].MADRID Y MEDINA, A. (1989): "El Castillo de Rochafrida entre la literatura y la historia", en Espacio, Tiempo y Forma. Serie III. Historia Medieval nº 1, pp. 351-368.MADRID Y MEDINA, A. (2004): "Un señorío de la Orden de Santiago en la Edad Media: el Campo de Montiel", en Cuadernos de Estudios Manchegos, nº 28, pp. 145-176.MATELLANES MERCHÁN, J. V. (1999): La Orden de Santiago y la organización social de la Transierra castellano-leonesa (ss. XII-XIV). Cuadernos de Historia Medieval, Monografías, 1 [on line] http://www.uam.es/departamentos/filoyletras/hmedieval/Cuader_ini.htm [Consulta: 20-11-2005].McCARTHY, J. (2014): "Multi-image photogrammetry as a practical tool for cultural heritage survey and community engagement", en Journal of Archaeological Science, nº 43, pp. 175-185.MOLERO GARCÍA, J. M. y GALLEGO VALLE, D. (2013): "El primer encastillamiento cristiano en el Campo de Montiel (1213 c.-1250)", en Alcaraz del Islam al concejo cristiano. Alcaraz, pp. 111-142.PEREIRA-UZAL, J. M. y ROBLEDANO ARILLO, J. (2013): "Uso de tecnologías 3D en la digitalización y difusión de documentos de alto valor patrimonial", en El personal de la información (ejemplar dedicado a bibliotecas y documentación de museos), Vol. 22, nº 3, pp. 215-223. PEREIRA, J. (2012): "Introducción a la fotogrametría con VisualSFM", en Digital Heritage, 8 de Octubre de 2012 [on line] http://www.jpereira.net/software-revisiones-y-consejos/introducicon-a-la-fotogrametria-parte-1[Consulta: 11-09-2014].POIRIER, N.; HAUTEFEUILLE, F.; CALASTRENC, C. (2014): "Utilisation des micro-drônes pour la prospection archéologique à basse altitude", en Colloque scientifique francophone. Drones et moyens légers aéroportés d'observation. Montpellier, 24-26 Juin 2014 [on line]. http://drone.teledetection.fr/restitue.php [Consulta: 21-09-2014].PRETEL MARÍN, A. (2000): "Conflictos de interés en el repartimiento y la repoblación de una villa realenga (Alcaraz) durante el siglo XIII", en Historia, Instituciones, Documentos, nº 27, pp. 235-274.REU J. de; PLETS, G.; VERHOEVEN G.; DE SMEDT P.; BATS M.; CHERRETTÉ B.; DE MAEYER W.; DECONNYNCK J.; HERREMANS D.; LALOO P.; VAN MEIRVERNNE M. (2013): "Towards a three-dimensional cost-effective registration of archaeological heritage", en Journal of Archaelogical Science, Vol. 40, pp. 1108-1121 [on line] http://www.journals.elsevier.com/journal-of-archaeological-science/ Consulta [12-9-2014].REU J. de; SMEDT P. de; HERREMANS D.; LALOO, P.; CLERCQ W. de (2014): "On introducing an image-based 3D reconstruction method in archaelogical excavation practice", en Journal of Archaelogical Science. Vol. 41. Enero 2014, pp. 251-262 [on line] http://www.journals.elsevier.com/journal-of-archaeological-science/ [Consulta: 12-9-2014].RIVERA GARRETAS, M. (1985): La Encomienda, el Priorato y la villa de Uclés en la Edad Media. Formación de un señorío de la Orden de Santiago (1174-1310). Madrid-Barcelona.RUIBAL RODRÍGUEZ, A. (1984): "Eznavexore o ¿Torres de Xoray?: vestigios islámicos en el primer enclave santiaguista de Ciudad Real", en Separata de la Revista Al-Qantara, Vol. V, facs. 1 y 2, pp. 429-450.RUIBAL RODRÍGUEZ, A. (1984): "El enclave de Montiel: vestigios de los antiguos castillos de La Estrella y San Polo y del lugar de Torres", en Anuario de Estudios Medievales, nº 14, pp. 153-186.RUIBAL RODRÍGUEZ, A. (1985): "El Castillo de Alhambra" en Cuadernos de Estudios Manchegos, nº 16, pp. 153-160.SÁINZ, A.; SÁINZ, J.; JOVÉ, F.; MARTÍNEZ, J.; GARCÍA, L.; DEL RÍO, M. (2013): "Las villas medievales castellanas. Análisis de los núcleos de Peñaflor y Tordehumos, Valladolid", en Construcción con tierra. Pasado, presente y futuro. Congreso de Arquitectura de tierra en Cuenca de Campos 2012. Universidad de Valladolid, pp. 61-72 [on line] http://www5.uva.es/grupotierra/publicaciones/digital/libro2013/05tr-sainz.pdf. Consultado [12-9-2014].SIMON GARCÍA, J. L. (2011): Castillos y torres de Albacete. Instituto de Estudios Albacetenses. Albacete

Genetic variants in PARP1 (rs3219090) and IRF4 (rs12203592) genes associated with melanoma susceptibility in a Spanish population

Background Few high penetrance genes are known in Malignant Melanoma (MM), however, the involvement of low-penetrance genes such as MC1R, OCA2, ASIP, SLC45A2 and TYR has been observed. Lately, genome-wide association studies (GWAS) have been the ideal strategy to identify new common, low-penetrance susceptibility loci. In this case–control study, we try to validate in our population nine melanoma associated markers selected from published GWAS in melanoma predisposition. Methods We genotyped the 9 markers corresponding to 8 genes (PARP1, MX2, ATM, CCND1, NADSYN1, CASP8, IRF4 and CYP2R1) in 566 cases and 347 controls from a Spanish population using KASPar probes. Genotypes were analyzed by logistic regression and adjusted by phenotypic characteristics. Results We confirm the protective role in MM of the rs3219090 located on the PARP1 gene (p-value 0.027). Additionally, this SNP was also associated with eye color (p-value 0.002). A second polymorphism, rs12203592, located on the IRF4 gene was associated with protection to develop MM for the dominant model (p-value 0.037). We have also observed an association of this SNP with both lentigines (p-value 0.014) and light eye color (p-value 3.76 × 10-4). Furthermore, we detected a novel association with rs1485993, located on the CCND1 gene, and dark eye color (p-value 4.96 × 10-4). Finally, rs1801516, located on the ATM gene, showed a trend towards a protective role in MM similar to the one firstly described in a GWAS study. Conclusions To our knowledge, this is the first time that these SNPs have been associated with MM in a Spanish population. We confirmed the proposed role of rs3219090, located on the PARP1 gene, and rs12203592, located on the IRF4 gene, as protective to MM along the same lines as have previous genome-wide associated works. Finally, we have seen associations between IRF4, PARP1, and CCND1 and phenotypic characteristics, confirming previous results for the IRF4 gene and presenting novel data for the last two, suggesting that pigmentation characteristics correlated with eye color are potential mediators between PARP1 and MM protection