1,119 research outputs found

    Variables del marketing que permiten el desarrollo económico de un destino de sol y playa: Benidorm

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    Esta investigación se centra en el marketing turístico, en la lealtad hacia los destinos turísticos que sean de sol y playa (estudiándose en este caso Benidorm), para conocer si la fidelización de los turistas contribuye al desarrollo económico de los destinos de sol y playa. Dentro del objetivo que se persigue con esta investigación es mejorar el conocimiento del concepto de fidelización en los destinos turísticos y realizar un estudio empírico para analizar cada uno de los elementos que permiten la fidelización y la lealtad de un destino turístico de sol y playa. Y una vez analizadas las variables positivas, negativas y de fidelización de un destino turístico se interpretan todos los resultados mediante un análisis descriptivo de la media y de la desviación típica

    Evaluación continua a través de Moodle para involucrar al alumnado en su proceso de aprendizaje

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    El artículo presenta los resultados de un estudio orientado a conocer los efectos de un sistema de evaluación continua voluntaria usando la plataforma Moodle y un amplio banco de actividades, basadas en trabajos individuales y colaborativos, que el alumnado puede escoger. El objetivo de proponer este sistema de evaluación es doble. Por un lado, se persigue involucrar al alumnado ausente en el seguimiento de la evaluación continua mediante un entorno virtual. Por otro lado, se quiere motivar al alumnado en general en su aprendizaje a través de actividades continuas y orientadas a la práctica. El estudio se ha llevado a cabo en el contexto de una asignatura formada por dos grupos de los estudios de Administración y Dirección de Empresas de la Universidad de Barcelona. Como indicadores de bondad del sistema se han considerado la participación del alumnado en las actividades de evaluación y las notas finales. Los resultados han puesto de manifiesto la capacidad del sistema de involucrar al alumnado que asiste a clase en la realización de un mínimo de actividades y mejorar su aprendizaje, así como la incapacidad de involucrar significativamente al alumnado que no asiste a clase. Como conclusiones del estudio se apuntan la importancia de diseñar un buen modelo de feed-back y apostar más por tareas pensadas desde los enfoques de la evaluación auténtica.This article presents the results of a study aimed at getting to know the effects of a voluntary system of ongoing evaluation by means of the Moodle platform and a wide range of activities, based on individual and collaborative work, to be chosen by the students. There is a double objective for proposing such an evaluation system. On the one hand, it pursues to involve absent students in the follow-up of the ongoing evaluation through a virtual environment; while, on the other hand, engaging students in general in their own learning by means of continuous, practice-oriented activities. The study has been contextualised within a course that consists of two groups in the Business Administration Studies of the University of Barcelona. Student participation in the evaluation activities and their final grades have been taken as indicators for a satisfactory system. Results have exposed the capacity of the system, in the case of those students who attend classes, for getting them involved in improving their learning by engaging in a minimum number of activities. It has also shown its inability to involve to a significant extent those students who do not attend classes. The conclusions of the study point out towards the importance of designing a good feed-back model and towards a further support to activities designed from approaches of authentic assessment

    Evaluación continua a través del Moodle para involucrar al alumnado en su proceso de aprendizaje

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    El artículo presenta los resultados de un estudio orientado a conocer los efectos de un sistema de evaluación continua voluntaria usando la plataforma Moodle y un amplio banco de actividades, basadas en trabajos individuales y colaborativos, que el alumnado puede escoger. El objetivo de proponer este sistema de evaluación es doble. Por un lado, se persigue involucrar al alumnado ausente en el seguimiento de la evaluación continua mediante un entorno virtual. Por otro lado, se quiere motivar al alumnado en general en su aprendizaje a través de actividades continuas y orientadas a la práctica. El estudio se ha llevado a cabo en el contexto de una asignatura formada por dos grupos de los estudios de Administración y Dirección de Empresas de la Universidad de Barcelona. Como indicadores de bondad del sistema se han considerado la participación del alumnado en las actividades de evaluación y las notas finales. Los resultados han puesto de manifiesto la capacidad del sistema de involucrar al alumnado que asiste a clase en la realización de un mínimo de actividades y mejorar su aprendizaje, así como la incapacidad de involucrar significativamente al alumnado que no asiste a clase. Como conclusiones del estudio se apuntan la importancia de diseñar un buen modelo de feed-back y apostar más por tareas pensadas desde los enfoques de la evaluación auténtica

    Variational quantum circuits for machine learning. An application for the detection of weak signals

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    [EN] Featured Application Quantum classifier to detect weak signals. Quantum computing is a new paradigm for a multitude of computing applications. This study presents the technologies that are currently available for the physical implementation of qubits and quantum gates, establishing their main advantages and disadvantages and the available frameworks for programming and implementing quantum circuits. One of the main applications for quantum computing is the development of new algorithms for machine learning. In this study, an implementation of a quantum circuit based on support vector machines (SVMs) is described for the resolution of classification problems. This circuit is specially designed for the noisy intermediate-scale quantum (NISQ) computers that are currently available. As an experiment, the circuit is tested on a real quantum computer based on superconducting qubits for an application to detect weak signals of the future. Weak signals are indicators of incipient changes that will have a future impact. Even for experts, the detection of these events is complicated since it is too early to predict this impact. The data obtained with the experiment shows promising results but also confirms that ongoing technological development is still required to take full advantage of quantum computing.Griol-Barres, I.; Milla, S.; Cebrián Ferriols, AJ.; Mansoori, Y.; Millet Roig, J. (2021). Variational quantum circuits for machine learning. An application for the detection of weak signals. Applied Sciences. 11(14):1-22. https://doi.org/10.3390/app11146427S122111

    Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing

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    [EN] Organizations, companies and start-ups need to cope with constant changes on the market which are difficult to predict. Therefore, the development of new systems to detect significant future changes is vital to make correct decisions in an organization and to discover new opportunities. A system based on business intelligence techniques is proposed to detect weak signals, that are related to future transcendental changes. While most known solutions are based on the use of structured data, the proposed system quantitatively detects these signals using heterogeneous and unstructured information from scientific, journalistic and social sources, applying text mining to analyze the documents and natural language processing to extract accurate results. The main contributions are that the system has been designed for any field, using different input datasets of documents, and with an automatic classification of categories for the detected keywords. In this research paper, results from the future of remote sensors are presented. Remote sensing services are providing new applications in observation and analysis of information remotely. This market is projected to witness a significant growth due to the increasing demand for services in commercial and defense industries. The system has obtained promising results, evaluated with two different methodologies, to help experts in the decision-making process and to discover new trends and opportunities.This research is partially supported by EIT Climate-KIC of the European Institute of Technology (project EIT Climate-KIC Accelerator-TC_3.1.5_190607_P066-1A) and InnoCENS from Erasmus + (573965-EPP-1-2016-1-SE-EPPKA2-CBHE-JP).Griol-Barres, I.; Milla, S.; Cebrián Ferriols, AJ.; Fan, H.; Millet Roig, J. (2020). Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing. Sustainability. 12(19):1-21. https://doi.org/10.3390/su12197848S1211219Zahra, S. A., Gedajlovic, E., Neubaum, D. O., & Shulman, J. M. (2009). A typology of social entrepreneurs: Motives, search processes and ethical challenges. Journal of Business Venturing, 24(5), 519-532. doi:10.1016/j.jbusvent.2008.04.007Ansoff, H. I. (1975). Managing Strategic Surprise by Response to Weak Signals. California Management Review, 18(2), 21-33. doi:10.2307/41164635Report on Weak Signals Collection. TELMAP, European Commission Seventh Framework Project (IST-257822) https://cordis.europa.eu/docs/projects/cnect/2/257822/080/deliverables/001-D41Weaksignalscollectionfinal.docDator, J. (2005). Universities without «quality» and quality without «universities». On the Horizon, 13(4), 199-215. doi:10.1108/10748120510627321Hiltunen, E. (2008). The future sign and its three dimensions. Futures, 40(3), 247-260. doi:10.1016/j.futures.2007.08.021Thorleuchter, D., Scheja, T., & Van den Poel, D. (2014). Semantic weak signal tracing. Expert Systems with Applications, 41(11), 5009-5016. doi:10.1016/j.eswa.2014.02.046Julien, P.-A., Andriambeloson, E., & Ramangalahy, C. (2004). Networks, weak signals and technological innovations among SMEs in the land-based transportation equipment sector. Entrepreneurship & Regional Development, 16(4), 251-269. doi:10.1080/0898562042000263249Xindong Wu, Xingquan Zhu, Gong-Qing Wu, & Wei Ding. (2014). Data mining with big data. IEEE Transactions on Knowledge and Data Engineering, 26(1), 97-107. doi:10.1109/tkde.2013.109Koivisto, R., Kulmala, I., & Gotcheva, N. (2016). Weak signals and damage scenarios — Systematics to identify weak signals and their sources related to mass transport attacks. Technological Forecasting and Social Change, 104, 180-190. doi:10.1016/j.techfore.2015.12.010Davis, J., & Groves, C. (2019). City/future in the making: Masterplanning London’s Olympic legacy as anticipatory assemblage. Futures, 109, 13-23. doi:10.1016/j.futures.2019.04.002Irvine, N., Nugent, C., Zhang, S., Wang, H., & NG, W. W. Y. (2019). Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments. Sensors, 20(1), 216. doi:10.3390/s20010216Huang, M., & Liu, Z. (2019). Research on Mechanical Fault Prediction Method Based on Multifeature Fusion of Vibration Sensing Data. Sensors, 20(1), 6. doi:10.3390/s20010006Awan, F. M., Saleem, Y., Minerva, R., & Crespi, N. (2020). A Comparative Analysis of Machine/Deep Learning Models for Parking Space Availability Prediction. Sensors, 20(1), 322. doi:10.3390/s20010322MohamadiBaghmolaei, R., Mozafari, N., & Hamzeh, A. (2017). Continuous states latency aware influence maximization in social networks. AI Communications, 30(2), 99-116. doi:10.3233/aic-170720McGrath, J., & Fischetti, J. (2019). What if compulsory schooling was a 21st century invention? Weak signals from a systematic review of the literature. International Journal of Educational Research, 95, 212-226. doi:10.1016/j.ijer.2019.02.006Chao, W., Jiang, X., Luo, Z., Hu, Y., & Ma, W. (2019). Interpretable Charge Prediction for Criminal Cases with Dynamic Rationale Attention. Journal of Artificial Intelligence Research, 66, 743-764. doi:10.1613/jair.1.11377Van Veen, B. L., Roland Ortt, J., & Badke-Schaub, P. G. (2019). Compensating for perceptual filters in weak signal assessments. Futures, 108, 1-11. doi:10.1016/j.futures.2019.02.018Thorleuchter, D., & Van den Poel, D. (2015). Idea mining for web-based weak signal detection. Futures, 66, 25-34. doi:10.1016/j.futures.2014.12.007Rowe, E., Wright, G., & Derbyshire, J. (2017). Enhancing horizon scanning by utilizing pre-developed scenarios: Analysis of current practice and specification of a process improvement to aid the identification of important ‘weak signals’. Technological Forecasting and Social Change, 125, 224-235. doi:10.1016/j.techfore.2017.08.001Yoon, J. (2012). Detecting weak signals for long-term business opportunities using text mining of Web news. Expert Systems with Applications, 39(16), 12543-12550. doi:10.1016/j.eswa.2012.04.059Yoo, S., & Won, D. (2018). Simulation of Weak Signals of Nanotechnology Innovation in Complex System. Sustainability, 10(2), 486. doi:10.3390/su10020486Suh, J. (2018). Generating Future-Oriented Energy Policies and Technologies from the Multidisciplinary Group Discussions by Text-Mining-Based Identification of Topics and Experts. Sustainability, 10(10), 3709. doi:10.3390/su10103709Kwon, L.-N., Park, J.-H., Moon, Y.-H., Lee, B., Shin, Y., & Kim, Y.-K. (2018). Weak signal detecting of industry convergence using information of products and services of global listed companies - focusing on growth engine industry in South Korea -. Journal of Open Innovation: Technology, Market, and Complexity, 4(1). doi:10.1186/s40852-018-0083-6Ben-Porat, O., Hirsch, S., Kuchi, L., Elad, G., Reichart, R., & Tennenholtz, M. (2020). Predicting Strategic Behavior from Free Text. Journal of Artificial Intelligence Research, 68. doi:10.1613/jair.1.11849Fink, L., Yogev, N., & Even, A. (2017). Business intelligence and organizational learning: An empirical investigation of value creation processes. Information & Management, 54(1), 38-56. doi:10.1016/j.im.2016.03.009Ilmola, L., & Kuusi, O. (2006). Filters of weak signals hinder foresight: Monitoring weak signals efficiently in corporate decision-making. Futures, 38(8), 908-924. doi:10.1016/j.futures.2005.12.019Doulamis, N. D., Doulamis, A. D., Kokkinos, P., & Varvarigos, E. M. (2016). Event Detection in Twitter Microblogging. IEEE Transactions on Cybernetics, 46(12), 2810-2824. doi:10.1109/tcyb.2015.2489841Atefeh, F., & Khreich, W. (2013). A Survey of Techniques for Event Detection in Twitter. Computational Intelligence, 31(1), 132-164. doi:10.1111/coin.12017Mehmood, N. Q., Culmone, R., & Mostarda, L. (2017). Modeling temporal aspects of sensor data for MongoDB NoSQL database. Journal of Big Data, 4(1). doi:10.1186/s40537-017-0068-5Bjeladinovic, S. (2018). A fresh approach for hybrid SQL/NoSQL database design based on data structuredness. Enterprise Information Systems, 12(8-9), 1202-1220. doi:10.1080/17517575.2018.1446102Čerešňák, R., & Kvet, M. (2019). Comparison of query performance in relational a non-relation databases. Transportation Research Procedia, 40, 170-177. doi:10.1016/j.trpro.2019.07.027Yangui, R., Nabli, A., & Gargouri, F. (2016). Automatic Transformation of Data Warehouse Schema to NoSQL Data Base: Comparative Study. Procedia Computer Science, 96, 255-264. doi:10.1016/j.procs.2016.08.138Willett, P. (2006). The Porter stemming algorithm: then and now. Program, 40(3), 219-223. doi:10.1108/00330330610681295Griol-Barres, I., Milla, S., & Millet, J. (2019). Implementación de un sistema de detección de señales débiles de futuro mediante técnicas de minería de textos. Revista española de Documentación Científica, 42(2), 234. doi:10.3989/redc.2019.2.1599Kim, J., Han, M., Lee, Y., & Park, Y. (2016). Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map. Expert Systems with Applications, 57, 311-323. doi:10.1016/j.eswa.2016.03.043Mendonça, S., Pina e Cunha, M., Kaivo-oja, J., & Ruff, F. (2004). Wild cards, weak signals and organisational improvisation. Futures, 36(2), 201-218. doi:10.1016/s0016-3287(03)00148-4Ishikiriyama, C. S., Miro, D., & Gomes, C. F. S. (2015). Text Mining Business Intelligence: A small sample of what words can say. Procedia Computer Science, 55, 261-267. doi:10.1016/j.procs.2015.07.044Yuen, J. (2018). Comparison of Impact Factor, Eigenfactor Metrics, and SCImago Journal Rank Indicator and h-index for Neurosurgical and Spinal Surgical Journals. World Neurosurgery, 119, e328-e337. doi:10.1016/j.wneu.2018.07.144Thomason, J., Padmakumar, A., Sinapov, J., Walker, N., Jiang, Y., Yedidsion, H., … Mooney, R. (2020). Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. Journal of Artificial Intelligence Research, 67, 327-374. doi:10.1613/jair.1.11485Tseng, Y.-H., Lin, C.-J., & Lin, Y.-I. (2007). Text mining techniques for patent analysis. Information Processing & Management, 43(5), 1216-1247. doi:10.1016/j.ipm.2006.11.011Gergelova, M. B., Labant, S., Kuzevic, S., Kuzevicova, Z., & Pavolova, H. (2020). Identification of Roof Surfaces from LiDAR Cloud Points by GIS Tools: A Case Study of Lučenec, Slovakia. Sustainability, 12(17), 6847. doi:10.3390/su12176847Badmos, O., Rienow, A., Callo-Concha, D., Greve, K., & Jürgens, C. (2018). Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process. Remote Sensing, 10(7), 1044. doi:10.3390/rs10071044Thomson, E., Malhi, Y., Bartholomeus, H., Oliveras, I., Gvozdevaite, A., Peprah, T., … Doughty, C. (2018). Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery. Remote Sensing, 10(10), 1532. doi:10.3390/rs10101532Samasse, K., Hanan, N., Tappan, G., & Diallo, Y. (2018). Assessing Cropland Area in West Africa for Agricultural Yield Analysis. Remote Sensing, 10(11), 1785. doi:10.3390/rs10111785Anchang, J. Y., Prihodko, L., Kaptué, A. T., Ross, C. W., Ji, W., Kumar, S. S., … Hanan, N. P. (2019). Trends in Woody and Herbaceous Vegetation in the Savannas of West Africa. Remote Sensing, 11(5), 576. doi:10.3390/rs11050576Jung, H. C., Getirana, A., Arsenault, K. R., Holmes, T. R. H., & McNally, A. (2019). Uncertainties in Evapotranspiration Estimates over West Africa. Remote Sensing, 11(8), 892. doi:10.3390/rs11080892Mondal, P., Liu, X., Fatoyinbo, T. E., & Lagomasino, D. (2019). Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa. Remote Sensing, 11(24), 2928. doi:10.3390/rs11242928Meftah, M., Damé, L., Keckhut, P., Bekki, S., Sarkissian, A., Hauchecorne, A., … Bui, A. (2019). UVSQ-SAT, a Pathfinder CubeSat Mission for Observing Essential Climate Variables. Remote Sensing, 12(1), 92. doi:10.3390/rs12010092Zhang, W., Yoshida, T., & Tang, X. (2008). Text classification based on multi-word with support vector machine. Knowledge-Based Systems, 21(8), 879-886. doi:10.1016/j.knosys.2008.03.044Griol-Barres, I., Milla, S., & Millet, J. (2020). Improving strategic decision making by the detection of weak signals in heterogeneous documents by text mining techniques. AI Communications, 32(5-6), 347-360. doi:10.3233/aic-190625Dzedzickis, A., Kaklauskas, A., & Bucinskas, V. (2020). Human Emotion Recognition: Review of Sensors and Methods. 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    El ritual de ofrendas en el Egipto antiguo: análisis iconográfico de la viñeta 148 del Libro de la Salida al Día.

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    El Libro de la Salida al Día es uno de los documentos más importantes del Egipto antiguo y una de las producciones religiosas más complejas de esta civilización que, debido a su gran riqueza de información, sigue presentando hoy muchos interrogantes. Este Libro es una compilación de textos que llamamos recitaciones porque en origen estaban creados para ser recitados, que a su vez solían ir acompañados de una viñeta que ilustraba el contenido narrado en dicho texto con el fin de que el difunto adquiriese su admisión en el Más Allá y poder así vivir eternamente en la Duat. En este trabajo hemos realizado el análisis iconográfico de una de estas viñetas, concretamente la catalogada como 148, que hace referencia al ritual de ofrendas y a ciertos elementos que el difunto debe conocer con el objetivo de alcanzar el Más Allá. Es por ello que, además de analizar cada elemento iconográfico que aparece en la viñeta y su significado, y realizar una catalogación de esta estableciendo sus modelos y variantes, también hemos profundizado en cómo evoluciona estructuralmente la misma

    Arva : prospecciones en un centro productor de ánforas Dressel 20 (Alcolea del Río, Sevilla)

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    La campaña de excavación realizada en 1991 en las proximidades de sector termal de la ciudad romana de Arva (Alcolea del Río, Sevilla) ha permitido localizar tres hornos dedicados a la producción de ánforas Dressel20. Uno de ellos se data en época flavio-trajanea; los dos restantes se sitúan en un momento post-severiano. El conjunto parece formar parte del sector artesanal de Arva, situado junto al Guadalquivir.The 1991 season of excavations near the baths of the Roman city of Arva (Alcolea del Río, SevilIe) alIowed us to locate three pottery kilns especialized in the production ofDressel 20 amphorae. One of them was dated in the flavian-trajanean period.The remaining two were still active in the post -severian period. The whole area seems to be part of the craftmanship sector in Arva on the Guadalquivir river

    Pulmonary Vein Activity Organization to Determine Atrial Fibrillation Recurrence: Preliminary Data from a Pilot Study

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    [EN] Ablation of pulmonary veins has emerged as a key procedure for normal rhythm restoration in atrial fibrillation patients. However, up to half of ablated Atrial fibrillation (AF) patients suffer recurrences during the first year. In this article, simultaneous intra-atrial recordings registered at pulmonary veins previous to the ablation procedure were analyzed. Spatial cross-correlation and transfer entropy were computed in order to estimate spatial organization. Results showed that, in patients with arrhythmia recurrence, pulmonary vein electrical activity was less correlated than in patients that maintained sinus rhythm. Moreover, correlation function between dipoles showed higher delays in patients with AF recurrence. Results with transfer entropy were consistent with spatial cross-correlation measurements. These results show that arrhythmia drivers located at the pulmonary veins are associated with a higher organization of the electrical activations after the ablation of these sites.This research was funded by Spanish Ministry of Research and Innovation : PID2019-109547RB-I00. This research was supported by the PID2019-109547RB-I00 National Research Program RETOS from the Spanish Ministry of Research and Innovation and partialy by GVA (PROMETEO/2018/078) & ISCIII (CB16/11/00486). Thanks to Michael Charles Willoughby for English language and scientific editing services.Cervigón, R.; Moreno, J.; Millet Roig, J.; Pérez-Villacastín, J.; Castells, F. (2020). Pulmonary Vein Activity Organization to Determine Atrial Fibrillation Recurrence: Preliminary Data from a Pilot Study. Mathematics. 8(10):1-13. https://doi.org/10.3390/math8101813S113810Andrade, J., Khairy, P., Dobrev, D., & Nattel, S. (2014). The Clinical Profile and Pathophysiology of Atrial Fibrillation. Circulation Research, 114(9), 1453-1468. doi:10.1161/circresaha.114.303211Kim, M. H., Johnston, S. S., Chu, B.-C., Dalal, M. R., & Schulman, K. L. (2011). Estimation of Total Incremental Health Care Costs in Patients With Atrial Fibrillation in the United States. Circulation: Cardiovascular Quality and Outcomes, 4(3), 313-320. doi:10.1161/circoutcomes.110.958165Andersson, T., Magnuson, A., Bryngelsson, I.-L., Frøbert, O., Henriksson, K. M., Edvardsson, N., & Poçi, D. (2013). All-cause mortality in 272 186 patients hospitalized with incident atrial fibrillation 1995–2008: a Swedish nationwide long-term case–control study. European Heart Journal, 34(14), 1061-1067. doi:10.1093/eurheartj/ehs469Chugh, S. S., Havmoeller, R., Narayanan, K., Singh, D., Rienstra, M., Benjamin, E. J., … Murray, C. J. L. (2014). Worldwide Epidemiology of Atrial Fibrillation. Circulation, 129(8), 837-847. doi:10.1161/circulationaha.113.005119Saglietto, A., Matta, M., Gaita, F., Jacobs, V., Bunch, T. J., & Anselmino, M. (2019). Stroke-independent contribution of atrial fibrillation to dementia: a meta-analysis. Open Heart, 6(1), e000984. doi:10.1136/openhrt-2018-000984Wattigney, W. A. (2002). Increased Atrial Fibrillation Mortality: United States, 1980-1998. American Journal of Epidemiology, 155(9), 819-826. doi:10.1093/aje/155.9.819Krijthe, B. P., Kunst, A., Benjamin, E. J., Lip, G. Y. H., Franco, O. H., Hofman, A., … Heeringa, J. (2013). Projections on the number of individuals with atrial fibrillation in the European Union, from 2000 to 2060. European Heart Journal, 34(35), 2746-2751. doi:10.1093/eurheartj/eht280January, C. T., Wann, L. S., Calkins, H., Chen, L. Y., Cigarroa, J. E., Cleveland, J. C., … Yancy, C. W. (2019). 2019 AHA/ACC/HRS focused update of the 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation. Heart Rhythm, 16(8), e66-e93. doi:10.1016/j.hrthm.2019.01.024Haïssaguerre, M., Jaïs, P., Shah, D. C., Takahashi, A., Hocini, M., Quiniou, G., … Clémenty, J. (1998). Spontaneous Initiation of Atrial Fibrillation by Ectopic Beats Originating in the Pulmonary Veins. New England Journal of Medicine, 339(10), 659-666. doi:10.1056/nejm199809033391003Allessie, M. A., Bonke, F. I., & Schopman, F. J. (1976). Circus movement in rabbit atrial muscle as a mechanism of tachycardia. II. The role of nonuniform recovery of excitability in the occurrence of unidirectional block, as studied with multiple microelectrodes. Circulation Research, 39(2), 168-177. doi:10.1161/01.res.39.2.168Kirchhof, P., Benussi, S., Kotecha, D., Ahlsson, A., Atar, D., Casadei, B., … Zeppenfeld, K. (2016). 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Europace, 18(11), 1609-1678. doi:10.1093/europace/euw295Calkins, H., Kuck, K. H., Cappato, R., Brugada, J., Camm, A. J., Chen, S.-A., … Wilber, D. (2012). 2012 HRS/EHRA/ECAS Expert Consensus Statement on Catheter and Surgical Ablation of Atrial Fibrillation: Recommendations for Patient Selection, Procedural Techniques, Patient Management and Follow-up, Definitions, Endpoints, and Research Trial Design. Heart Rhythm, 9(4), 632-696.e21. doi:10.1016/j.hrthm.2011.12.016Ganesan, A. N., Shipp, N. J., Brooks, A. G., Kuklik, P., Lau, D. H., Lim, H. S., … Sanders, P. (2013). Long‐term Outcomes of Catheter Ablation of Atrial Fibrillation: A Systematic Review and Meta‐analysis. Journal of the American Heart Association, 2(2). doi:10.1161/jaha.112.004549Pison, L., Tilz, R., Jalife, J., & Haïssaguerre, M. (2016). Pulmonary vein triggers, focal sources, rotors and atrial cardiomyopathy: implications for the choice of the most effective ablation therapy. Journal of Internal Medicine, 279(5), 449-456. doi:10.1111/joim.12490Kirchhof, P., Benussi, S., Kotecha, D., Ahlsson, A., Atar, D., Casadei, B., … Vardas, P. 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    Ecosystem Model Proposal in the Tourism Sector to Enhance Sustainable Competitiveness

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    [EN] Service companies in developed countries represent 70-80% of the Gross Domestic Product (GDP). In Spain, within the service sector, tourism is the main contributor and is growing annually. This is obviously an opportunity for the country due to its benefits and economic e¿ects but at the same time a well-structured, sustainable and competitive model for its continued development is needed in order to adopt best practices and reference innovative models from other sectors. A qualitative approach using Case Study, Grounded Theory and Delphi Method has been conducted to study the tourism sector in the city of Gandia, Valencia (Spain). Results show that a tourist destination with its different components and stakeholders involved in its value chain can be interpreted as an ecosystem and so reference ecosystem models could be adopted to boost the development of a region. Considering the results obtained, this study can contribute to the development of a tourist destination in a sustainable and innovative way.Morant-Martínez, O.; Santandreu Mascarell, C.; Canós-Darós, L.; Millet Roig, J. (2019). Ecosystem Model Proposal in the Tourism Sector to Enhance Sustainable Competitiveness. Sustainability. 11(23):1-15. https://doi.org/10.3390/su11236652S115112
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