142 research outputs found

    El potencial turístico de los festivales de música. El caso de Sonorama Ribera

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    Este trabajo plantea el potencial turístico de los festivales de música analizando la historia, evolución y situación actual de los mismos, así como sus impactos. Relacionando este turismo de festivales con el turismo cultural y creativo que presta el marco del Turismo naranja, vemos cómo muchos de los festivales que se celebran hoy en día en España se han convertido en nuestro patrimonio cultural y en incentivo para el desplazamiento de turistas. Sobre el caso de estudio, presentamos Sonorama Ribera como ejemplo de calidad y constante renovación, además de festival convertido en recurso turístico y portal para dar a conocer a los asistentes la cultura del vino, la gastronomía y los bienes turísticos de Aranda de Duero.Departamento de Economía AplicadaGrado en Turism

    El fenómeno de los festivales de música y su internacionalización. Estudio práctico: Sonorama MX 2019

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    En este TFG se expone una propuesta detallada para realizar la primera edición del festival Sonorama en el Estado de México bajo el marco de la internacionalización de los festivales de música. La estructura de esta investigación se divide en tres grandes capítulos, los dos primeros conforman el marco teórico de los eventos y sus tipologías, así como los festivales de música, su clasificación, su historia y su situación actual centrándonos especialmente en el caso de Sonorama Ribera y sus primeras expansiones y trabajos en el extranjero. El tercer capítulo engloba la propuesta detallada para la realización de Sonorama incluyendo fecha y ubicación, objetivos, público objetivo, programación, alianzas estratégicas, patrocinadores y colaboradores, propuesta corporativa y plan de comunicación y promoción.Departamento de Historia Moderna, Contemporánea y de América, Periodismo y Comunicación Audiovisual y PublicidadGrado en Publicidad y Relaciones Pública

    Social Frame Work, cooperativa de viviendas en San Jerónimo, Sevilla

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    Se plantea un proyecto de vivienda colectiva gestionada como cooperativa o co-housing, con un planteamiento de vivienda que oscila entre la vivienda protegida, la vivienda mínima y la construcción colectiva, y una relevante presencia del espacio colectivo. El programa se desarrolla como parte de un proyecto de reinserción socio-laboral de población ex reclusa. Éste se basa en ofrecer alojamiento temporal y formación laboral a esta población durante un periodo de tiempo, así como propiciar la interacción social de la comunidad, con el objeto de acabar con el estigma social al que se enfrentan por su condición de ex convictos. El 50% de las viviendas se destina a este sector y el resto pueden ser solicitadas por cualquier usuario que quiera formar parte de la cooperativa. En este proyecto, los espacios comunitarios son fundamentales, destinados al área de trabajo, labores del hogar, espacios de ocio y socialización y asistencia sanitaria.Universidad de Sevilla. Máster en Arquitectur

    Viabilidad de proyectos de negocio o empresa

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    En este trabajo se presenta el estudio de viabilidad de un centro deportivo en la ciudad de Zaragoza, el estudio consiste en determinar si el proyecto es viable o no basándonos en un análisis de la compañía y de su entorno, además, se tienen en cuenta decisiones como el análisis operativo, plan de marketing y estudio económico-financiero.<br /

    Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing

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    [EN] The use of remote sensing to map the distribution of plant diseases has evolved considerably over the last three decades and can be performed at different scales, depending on the area to be monitored, as well as the spatial and spectral resolution required. This work describes the development of a small low-cost field robot (Remotely Operated Vehicle for Infection Monitoring in orchards, XF-ROVIM), which is intended to be a flexible solution for early detection of Xylella fastidiosa (X. fastidiosa) in olive groves at plant to leaf level. The robot is remotely driven and fitted with different sensing equipment to capture thermal, spectral and structural information about the plants. Taking into account the height of the olive trees inspected, the design includes a platform that can raise the cameras to adapt the height of the sensors to a maximum of 200 cm. The robot was tested in an olive grove (4 ha) potentially infected by X. fastidiosa in the region of Apulia, southern Italy. The tests were focused on investigating the reliability of the mechanical and electronic solutions developed as well as the capability of the sensors to obtain accurate data. The four sides of all trees in the crop were inspected by travelling along the rows in both directions, showing that it could be easily adaptable to other crops. XF-ROVIM was capable of inspecting the whole field continuously, capturing geolocated spectral information and the structure of the trees for later comparison with the in situ observations.This work was partially supported by funding from the European Union's Horizon 2020 research and innovation programme under grant agreement 727987 Xylella Fastidiosa Active Containment Through a multidisciplinary-Oriented Research Strategy (XF-ACTORS).Rey, B.; Aleixos Borrás, MN.; Cubero-García, S.; Blasco Ivars, J. (2019). Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing. Remote Sensing. 11(3). https://doi.org/10.3390/rs11030221113Martelli, G. P., Boscia, D., Porcelli, F., & Saponari, M. (2015). The olive quick decline syndrome in south-east Italy: a threatening phytosanitary emergency. European Journal of Plant Pathology, 144(2), 235-243. doi:10.1007/s10658-015-0784-7Olmo, D., Nieto, A., Adrover, F., Urbano, A., Beidas, O., Juan, A., … Landa, B. B. (2017). First Detection of Xylella fastidiosa Infecting Cherry (Prunus avium) and Polygala myrtifolia Plants, in Mallorca Island, Spain. Plant Disease, 101(10), 1820-1820. doi:10.1094/pdis-04-17-0590-pdnSaponari, M., Giampetruzzi, A., Loconsole, G., Boscia, D., & Saldarelli, P. (2019). Xylella fastidiosa in Olive in Apulia: Where We Stand. Phytopathology®, 109(2), 175-186. doi:10.1094/phyto-08-18-0319-fiVergara-Díaz, O., Zaman-Allah, M. A., Masuka, B., Hornero, A., Zarco-Tejada, P., Prasanna, B. M., … Araus, J. L. (2016). A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization. Frontiers in Plant Science, 7. doi:10.3389/fpls.2016.00666Thenkabail, P. S., & Lyon, J. G. (Eds.). (2016). Hyperspectral Remote Sensing of Vegetation. doi:10.1201/b11222Calderón, R., Navas-Cortés, J. A., Lucena, C., & Zarco-Tejada, P. J. (2013). High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices. Remote Sensing of Environment, 139, 231-245. doi:10.1016/j.rse.2013.07.031Gonzalez-Dugo, V., Hernandez, P., Solis, I., & Zarco-Tejada, P. (2015). Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping. Remote Sensing, 7(10), 13586-13605. doi:10.3390/rs71013586Hernández-Clemente, R., Navarro-Cerrillo, R., Ramírez, F., Hornero, A., & Zarco-Tejada, P. (2014). A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data. Remote Sensing, 6(11), 11627-11648. doi:10.3390/rs61111627Colaço, A. F., Molin, J. P., Rosell-Polo, J. R., & Escolà, A. (2018). Application of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: current status and challenges. Horticulture Research, 5(1). doi:10.1038/s41438-018-0043-0Ma, Q., Su, Y., Luo, L., Li, L., Kelly, M., & Guo, Q. (2018). Evaluating the uncertainty of Landsat-derived vegetation indices in quantifying forest fuel treatments using bi-temporal LiDAR data. Ecological Indicators, 95, 298-310. doi:10.1016/j.ecolind.2018.07.050Ma, Q., Su, Y., & Guo, Q. (2017). Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(9), 4225-4236. doi:10.1109/jstars.2017.2711482Martinelli, F., Scalenghe, R., Davino, S., Panno, S., Scuderi, G., Ruisi, P., … Dandekar, A. M. (2014). Advanced methods of plant disease detection. A review. Agronomy for Sustainable Development, 35(1), 1-25. doi:10.1007/s13593-014-0246-1Calderón, R., Navas-Cortés, J., & Zarco-Tejada, P. (2015). Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas. Remote Sensing, 7(5), 5584-5610. doi:10.3390/rs70505584Zarco-Tejada, P. J., Camino, C., Beck, P. S. A., Calderon, R., Hornero, A., Hernández-Clemente, R., … Navas-Cortes, J. A. (2018). Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nature Plants, 4(7), 432-439. doi:10.1038/s41477-018-0189-7Aasen, H., Honkavaara, E., Lucieer, A., & Zarco-Tejada, P. (2018). Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows. Remote Sensing, 10(7), 1091. doi:10.3390/rs10071091Vicent, A., & Blasco, J. (2017). When prevention fails. Towards more efficient strategies for plant disease eradication. New Phytologist, 214(3), 905-908. doi:10.1111/nph.14555Wang, X., Singh, D., Marla, S., Morris, G., & Poland, J. (2018). Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies. Plant Methods, 14(1). doi:10.1186/s13007-018-0324-5Bourgeon, M. A., Gée, C., Debuisson, S., Villette, S., Jones, G., & Paoli, J. N. (2016). « On-the-go » multispectral imaging system to characterize the development of vineyard foliage with quantitative and qualitative vegetation indices. Precision Agriculture, 18(3), 293-308. doi:10.1007/s11119-016-9489-yUnderwood, J. P., Hung, C., Whelan, B., & Sukkarieh, S. (2016). Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors. Computers and Electronics in Agriculture, 130, 83-96. doi:10.1016/j.compag.2016.09.014Zampetti, E., Papa, P., Di Flaviano, F., Paciucci, L., Petracchini, F., Pirrone, N., … Macagnano, A. (2017). Remotely Controlled Terrestrial Vehicle Integrated Sensory System for Environmental Monitoring. Sensors, 338-343. doi:10.1007/978-3-319-55077-0_43Hiremath, S. A., van der Heijden, G. W. A. M., van Evert, F. K., Stein, A., & ter Braak, C. J. F. (2014). Laser range finder model for autonomous navigation of a robot in a maize field using a particle filter. Computers and Electronics in Agriculture, 100, 41-50. doi:10.1016/j.compag.2013.10.005Pérez-Ruiz, M., Gonzalez-de-Santos, P., Ribeiro, A., Fernandez-Quintanilla, C., Peruzzi, A., Vieri, M., … Agüera, J. (2015). Highlights and preliminary results for autonomous crop protection. Computers and Electronics in Agriculture, 110, 150-161. doi:10.1016/j.compag.2014.11.010Weiss, M., Baret, F., Smith, G. J., Jonckheere, I., & Coppin, P. (2004). Review of methods for in situ leaf area index (LAI) determination. Agricultural and Forest Meteorology, 121(1-2), 37-53. doi:10.1016/j.agrformet.2003.08.001Hosoi, F., & Omasa, K. (2006). Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar. IEEE Transactions on Geoscience and Remote Sensing, 44(12), 3610-3618. doi:10.1109/tgrs.2006.881743Stein, M., Bargoti, S., & Underwood, J. (2016). Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry. Sensors, 16(11), 1915. doi:10.3390/s16111915Saponari, M., Boscia, D., Altamura, G., Loconsole, G., Zicca, S., D’Attoma, G., … Martelli, G. P. (2017). Isolation and pathogenicity of Xylella fastidiosa associated to the olive quick decline syndrome in southern Italy. Scientific Reports, 7(1). doi:10.1038/s41598-017-17957-

    Non-destructive testing of stone biodeterioration and biocleaning effectiveness

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    Microorganisms (bacteria, green algae and fungi) may lead to complex problems in the conservation of cultural heritage assets due to their biodeteriorative potential. The biodeterioration phenomena observed on materials of cultural heritage is determined by several factors, such as climatic conditions, chemical composition and nature of the material itself, as well as biological colonizers. The combination of several non-destructive techniques is compulsory in the field of cultural heritage in order to develop and design new and effective conservation strategies to prevent, control and minimize the causes of decay. For instance, Confocal Laser Scanning Microscopy (CLSM) permits to detect the presence, the penetration depth and the spatial organization of different phototrophic microorganisms established on stone surfaces, as well as Digital Image Analysis allows quantifying the surface area covered by microorganisms without destroying the sample. In this study, these non-destructive instrumental analyses, together with in vitro chlorophyll a quantification, were applied in order to evaluate a new procedure of stone cleaning consisting of the application of secondary metabolites with biocide properties. Three different natural biocides were tested on Hontoria limestone samples, a biosparitic limestone used in many Spanish monuments, previously inoculated with a multi-species phototrophic culture. After 1 month of biofilm growth on Hontoria limestone samples, the following biocides were applied: - culture filtrates of the fungus Trichoderma harzianum T-22 strain, - culture filtrates of the bacterium Burkholderia gladioli pv. agaricicola ICMP (Bga) 11096 strain, - glycoalkaloids (GLAs) extract from unripe berries of Solanum nigrum. After one month of incubation, CLSM revealed that none of the treatments was efficient against all inoculated phototrophic species, probably due to different biocide resistance. This was also corroborated by spectrophotometric determination of chlorophyll a and digital image analysis. Among all treatments, the culture filtrates of T.harzianum and the GLAs’ extract showed higher biocidal efficiency than the Bga culture filtrate. It seems evident that non-destructive analysis and ecological cleaning methods can represent a innovative strategy for the protection of our stone cultural heritage. Further work on the biocidal effectiveness and durability of secondary metabolites in the medium and long-term is needed for the design of effective and sustainable treatments for minimizing or eradicate stone biodeteriorationPeer Reviewe

    El trabajo en equipo del profesorado universitario en procesos de Innovación Docente

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    Tradicionalmente, la cultura española en cuanto a docencia en educación superior ha sido muy individualista, existiendo en muchas ocasiones una falta de coordinación en cuanto a contenidos, metodología de enseñanza-aprendizaje y de evaluación desarrolladas. Con el Espacio Europeo de Educación Superior se fomentan prácticas cooperativas y colaborativas para superar estas limitaciones. Con el fin de mejorar y superar las reticencias al respecto se están desarrollando distintas iniciativas que sirven como medio para la colaboración y cooperación del profesorado universitario de diferentes áreas de conocimiento. En nuestro caso concreto, el trabajo que se presenta está basado en un proyecto de innovación docente de la Universidad de Cádiz en el que 9 profesores y profesoras, de diferentes áreas de conocimiento, trabajan conjuntamente para diseñar e implementar un procedimiento de evaluación participativo en sus respectivas asignaturas. Los resultados presentados ponen el énfasis en el desarrollo profesional producido gracias a la colaboración y el trabajo en equipo, los aprendizajes adquiridos en el marco del proyecto en colaboración con compañeros y, finalmente, en la propuesta de líneas estratégicas a seguir para un mayor desarrollo de la coordinación

    Nonuniversality due to inhomogeneous stress in semiconductor surface nanopatterning by low-energy ion-beam irradiation

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    A lack of universality with respect to ion species has been recently established in nanostructuring of semiconductor surfaces by low-energy ion-beam bombardment. This variability affects basic properties of the pattern formation process, like the critical incidence angle for pattern formation, and has remained unaccounted for. Here, we show that nonuniform generation of stress across the damaged amorphous layer induced by the irradiation is a key factor behind the range of experimental observations, as the form of the stress field is controlled by the ion/target combination. This effect acts in synergy with the nontrivial evolution of the amorphous-crystalline interface. We reach these conclusions by contrasting a multiscale theoretical approach, which combines molecular dynamics and a continuum viscous flow model, with experiments using Xe+ and Ar+ ions on a Si(100) target. Our general approach can apply to a variety of semiconductor systems and conditions.This work has been partially supported by MICINN (Spain) Grant MAT2011-13333-E, and MINECO (Spain) Grants FIS2012-38866-C05-01, FIS2012-38866-C05-05, FIS2013-47949-C2-2-P and FIS2012-32349. TEM work has been conducted at LABMET laboratory, associated with Red de Laboratorios of CAM, Spain. A.M.-B. acknowledges support from MINECO, through FPI scolarship BES-2010-036179. A.R.C. acknowledges funding from Juan de la Cierva program (Spain) under Contract No. JCI-2012-14509.Publicad

    Preliminary approach for the detection of olive trees infected by Xylella fastidiosa using a field robot and proximal sensing

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    A small field robot was designed and built within the framework of the H2020 project Xylella fastidiosa Active Containment Through a Multidisciplinary-Oriented Research Strategy (XF-ACTORS). The robot is remotely driven and provided with different proximal sensing equipment for the early detection of Xf in olive groves, including thermal, colour and multispectral cameras, and a 2D laser scanner (LiDAR) to obtain the 3D structure of the crop. The equipment is completed by a GPS to geolocate the data obtained and an IMU (inertial measurement unit) to correct the data captured by the LiDAR. An industrial computer triggers the sensors and controls the data acquisition, which is synchronised with the advance of the robot by means of a pulse encoder coupled to the axis of the motor. Then, crop maps can be created off-line after the analysis of the collected data to show graphically potential Xf infection in the trees. Owing to the height of the olive trees inspected, the cameras were placed on a platform that can be elevated up to 200 cm. Two batteries power the electric motors attached to the wheels, thereby allowing a continuous inspection for approximately six hours (a field of about 4 ha). A series of tests have been carried out in an olive orchard showing slight symptoms of Xf infection in the region of Apulia, southern Italy. During the first tests, the robot inspected each row in both directions with the cameras pointing to one side, so as to inspect all sides of the trees. The tests were mainly focused on the development of the mechanics, navigation systems, sensors and data acquisition. Synchronised and geolocated images of the whole crop were also captured with the cameras in different climatic conditions, as well as with the laser scanner for later comparison to the in-situ observation

    High-fat diet and glucose and albumin circadian rhythms' chronodisruption in rats

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    La obesidad es una de las enfermedades nutricionales más extendidas en las sociedades desarrolladas y se considera un factor de riesgo de enfermedad cardiovascular. El objetivo del presente trabajo fue evaluar cómo una dieta alta en grasas puede influir en la cronobiología de los ritmos circadianos de glucosa y albúmina. Ochenta y cuatro ratas Wistar macho comunes se separaron en dos grupos: un grupo de control (n = 42) y un grupo alimentado con una dieta rica en grasas (n = 42); tanto para el grupo control como para el grupo inducido por la obesidad establecimos 7 subgrupos (6 ratas por subgrupo) para tomar muestras de sangre a las 0000, 0200, 0400, 1000, 1400, 1800 y 2200 horas. Los niveles plasmáticos de glucosa y albúmina se analizaron en muestras de sangre y sus ritmos circadianos se evaluaron mediante la prueba Cosinor. Nuestros resultados mostraron síntomas claros de cronodisrupción en las oscilaciones de glucosa y albúmina, aunque estos trastornos circadianos fueron más evidentes en los ritmos de glucosa.Obesity is one of the most widespread nutritional diseases in developed societies and it is considered a cardiovascular disease risk factor. The aim of the present work was to evaluate how a high-fat diet may influence the chronobiology of glucose and albumin circadian rhythms. Eighty-four male common Wistar rats were separated into two groups: a control group (n = 42) and a group fed a high-fat diet (n = 42); both for the control and the obesity-induced group we stablished 7 subgroups (6 rats per subgroup) to take blood samples at 0000, 0200, 0400, 1000, 1400, 1800, and 2200 hours. Glucose and albumin plasma levels were analyzed in blood samples and their circadian rhythms were evaluated through the cosinor method. Our results showed clear chronodisruption symptoms in both glucose and albumin oscillations, although these circadian disorders were more evident in glucose rhythms.• Junta de Extremadura y Fondos FEDER. Ayuda GR15051peerReviewe
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