219 research outputs found

    Knowledge, Promotional Events, and the Contribution of Clustering to Innovation

    Full text link
    This is an author's accepted manuscript of an article published in: “Journal of Promotion Management"; Volume 21, Issue 4, 2015; copyright Taylor & Francis; available online at: http://dx.doi.org/10.1080/10496491.2015.1051407This research provides insight on the mechanisms through which knowledge acquired through promotional events and through spatial co-location simultaneously sustains firm s innovation. Applying the concept of temporary clusters to promotional events, we simultaneously test how internal resources mediating effect and promotional events moderating role affect innovation in clusters. Regression analyses with nonparametric bootstrapping and a large sample of Spanish clusters confirm the synergies derived from the combination of internal resources, local relationships, and complementary foreign events. Although extra-cluster linkages increase this effect, synergies creation requires attendance to international exhibitions or conventions. Valuable implications for practitioners and policy makers are discussed.Belso Martínez, JA.; Mas Verdú, F.; Roig Tierno, H. (2015). Knowledge, Promotional Events, and the Contribution of Clustering to Innovation. Journal of Promotion Management. 21(4):504-515. doi:10.1080/10496491.2015.1051407S504515214Asheim, B. T., & Isaksen, A. (2002). The Journal of Technology Transfer, 27(1), 77-86. doi:10.1023/a:1013100704794Autant-Bernard, C., Billand, P., Frachisse, D., & Massard, N. (2007). Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies. Papers in Regional Science, 86(3), 495-519. doi:10.1111/j.1435-5957.2007.00132.xBathelt, H., Malmberg, A., & Maskell, P. (2004). Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation. Progress in Human Geography, 28(1), 31-56. doi:10.1191/0309132504ph469oaBathelt, H., & Schuldt, N. (2008). Between Luminaires and Meat Grinders: International Trade Fairs as Temporary Clusters. Regional Studies, 42(6), 853-868. doi:10.1080/00343400701543298Boschma, R. (2005). Proximity and Innovation: A Critical Assessment. Regional Studies, 39(1), 61-74. doi:10.1080/0034340052000320887Cohen, W. M., & Levinthal, D. A. (1990). Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly, 35(1), 128. doi:10.2307/2393553Geigenmüller, A. (2010). The role of virtual trade fairs in relationship value creation. Journal of Business & Industrial Marketing, 25(4), 284-292. doi:10.1108/08858621011038243Giner, J. M., & María, M. J. S. (2002). ‘Territorial systems of small firms in Spain: an analysis of productive and organizational characteristics in industrial districts’. Entrepreneurship & Regional Development, 14(3), 211-228. doi:10.1080/08985620210136009Giuliani, E., & Bell, M. (2005). The micro-determinants of meso-level learning and innovation: evidence from a Chilean wine cluster. Research Policy, 34(1), 47-68. doi:10.1016/j.respol.2004.10.008Hervas-Oliver, J.-L., & Albors-Garrigos, J. (2008). The role of the firm’s internal and relational capabilities in clusters: when distance and embeddedness are not enough to explain innovation. Journal of Economic Geography, 9(2), 263-283. doi:10.1093/jeg/lbn033Lagendijk, A., & Lorentzen, A. (2007). Proximity, Knowledge and Innovation in Peripheral Regions. On the Intersection between Geographical and Organizational Proximity. European Planning Studies, 15(4), 457-466. doi:10.1080/09654310601133260Ling-yee, L. (2006). Relationship learning at trade shows: Its antecedents and consequences. Industrial Marketing Management, 35(2), 166-177. doi:10.1016/j.indmarman.2005.03.006Lorentzen, A. (2007). The Geography of Knowledge Sourcing—A Case Study of Polish Manufacturing Enterprises. European Planning Studies, 15(4), 467-486. doi:10.1080/09654310601133252Markusen, A. (1996). Sticky Places in Slippery Space: A Typology of Industrial Districts. Economic Geography, 72(3), 293. doi:10.2307/144402McCann, B. T., & Folta, T. B. (2011). Performance differentials within geographic clusters. Journal of Business Venturing, 26(1), 104-123. doi:10.1016/j.jbusvent.2009.04.004Palumbo, F., & Herbig, P. A. (2002). Trade Shows and Fairs. Journal of Promotion Management, 8(1), 93-108. doi:10.1300/j057v08n01_09Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions. Multivariate Behavioral Research, 42(1), 185-227. doi:10.1080/00273170701341316Ramírez-Pasillas, M. (2008). Resituating Proximity and Knowledge Cross-fertilization in Clusters by Means of International Trade Fairs. European Planning Studies, 16(5), 643-663. doi:10.1080/09654310802049158Ramírez-Pasillas, M. (2010). International trade fairs as amplifiers of permanent and temporary proximities in clusters. Entrepreneurship & Regional Development, 22(2), 155-187. doi:10.1080/08985620902815106Rinallo, D., & Golfetto, F. (2011). Exploring the Knowledge Strategies of Temporary Cluster Organizers: A Longitudinal Study of the EU Fabric Industry Trade Shows (1986-2006). Economic Geography, 87(4), 453-476. doi:10.1111/j.1944-8287.2011.01127.xRychen, F., & Zimmermann, J.-B. (2008). Clusters in the Global Knowledge-based Economy: Knowledge Gatekeepers and Temporary Proximity. Regional Studies, 42(6), 767-776. doi:10.1080/00343400802088300Tafesse, W., & Korneliussen, T. (2012). Managing Trade Show Campaigns: Why Managerial Responsibilities Matter? Journal of Promotion Management, 18(2), 236-253. doi:10.1080/10496491.2012.668434Tanner, J. F., & Chonko, L. B. (2002). Using Trade Shows Throughout the Product Life Cycle. Journal of Promotion Management, 8(1), 109-125. doi:10.1300/j057v08n01_10Torre, A. (2008). On the Role Played by Temporary Geographical Proximity in Knowledge Transmission. Regional Studies, 42(6), 869-889. doi:10.1080/00343400801922814Wolfe, D. A., & Gertler, M. S. (2004). Clusters from the Inside and Out: Local Dynamics and Global Linkages. Urban Studies, 41(5-6), 1071-1093. doi:10.1080/00420980410001675832Wood, E. H. (2009). Evaluating Event Marketing: Experience or Outcome? Journal of Promotion Management, 15(1-2), 247-268. doi:10.1080/1049649090289258

    Hardware Project Development using Scrum in the Interactive Technologies Degree

    Full text link
    [EN] Learning electronics in the fourth-wave industrial age requires an extra effort to motivate students. They often feel frustrated so they do not spend enough time to acquire in depth-knowledge. To enhance student's motivation and engagement, instructional methods of teaching and learning are being tested in some Universities [1]. Among these methods, project based learning (PBL) has proven to be useful to overcome frustration and improve student engagement. This methodology is even more successful if it is implemented using an agile approach, like Scrum. This paper describes a new way to teach electronics based on the use of PBL and Scrum and presents results of its application regarding to the acquisition level of some competences.This work has been partially finance by UPV-Innovation Project PIME-I 1776 (2022-2024).Pérez Pascual, MA.; Toledo Alarcón, JF.; Marín-Roig Ramón, J.; Azulay, E. (2022). Hardware Project Development using Scrum in the Interactive Technologies Degree. IEEE. 1-6. https://doi.org/10.1109/TAEE54169.2022.98405611

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

    Full text link
    [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. (2017). 2016 ESC Guidelines for the Management of Atrial Fibrillation Developed in Collaboration With EACTS. Revista Española de Cardiología (English Edition), 70(1), 50. doi:10.1016/j.rec.2016.11.033Botteron, G. W., & Smith, J. M. (1995). A technique for measurement of the extent of spatial organization of atrial activation during atrial fibrillation in the intact human heart. IEEE Transactions on Biomedical Engineering, 42(6), 579-586. doi:10.1109/10.387197Cervigón, R., Moreno, J., Millet, J., Pérez-Villacastín, J., & Castells, F. (2010). Propofol Effects on Atrial Fibrillation Wavefront Delays. IEEE Transactions on Biomedical Engineering, 57(8), 1877-1885. doi:10.1109/tbme.2009.2037312Cervigón, R., Castells, F., Gómez-Pulido, J., Pérez-Villacastín, J., & Moreno, J. (2018). Granger Causality and Jensen–Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation. Entropy, 20(1), 57. doi:10.3390/e20010057CASTELLS, F., CERVIGÓN, R., & MILLET, J. (2013). On the Preprocessing of Atrial Electrograms in Atrial Fibrillation: Understanding Botteron’s Approach. Pacing and Clinical Electrophysiology, 37(2), 133-143. doi:10.1111/pace.12288Botteron, G. W., & Smith, J. M. (1996). Quantitative Assessment of the Spatial Organization of Atrial Fibrillation in the Intact Human Heart. Circulation, 93(3), 513-518. doi:10.1161/01.cir.93.3.513Wu, X., & Lu, W. (2019). Four Constructions of Asymptotically Optimal Codebooks via Additive Characters and Multiplicative Characters. Mathematics, 7(12), 1144. doi:10.3390/math7121144Wei, X., Zhang, H., Gong, X., Wei, X., Dang, C., & Zhi, T. (2020). Intrinsic Cross-Correlation Analysis of Hydro-Meteorological Data in the Loess Plateau, China. International Journal of Environmental Research and Public Health, 17(7), 2410. doi:10.3390/ijerph17072410Wang, J., Wang, L., Xi, X., Miran, S. M., & Xue, A. (2020). Estimation and Correlation Analysis of Lower Limb Joint Angles Based on Surface Electromyography. Electronics, 9(4), 556. doi:10.3390/electronics9040556Schreiber, T. (2000). Measuring Information Transfer. Physical Review Letters, 85(2), 461-464. doi:10.1103/physrevlett.85.461Tehrani-Saleh, A., & Adami, C. (2020). Can Transfer Entropy Infer Information Flow in Neuronal Circuits for Cognitive Processing? Entropy, 22(4), 385. doi:10.3390/e22040385Overbey, L. A., & Todd, M. D. (2009). Dynamic system change detection using a modification of the transfer entropy. Journal of Sound and Vibration, 322(1-2), 438-453. doi:10.1016/j.jsv.2008.11.025Calkins, H., Reynolds, M. R., Spector, P., Sondhi, M., Xu, Y., Martin, A., … Sledge, I. (2009). Treatment of Atrial Fibrillation With Antiarrhythmic Drugs or Radiofrequency Ablation. Circulation: Arrhythmia and Electrophysiology, 2(4), 349-361. doi:10.1161/circep.108.824789Ouyang, F., Bänsch, D., Ernst, S., Schaumann, A., Hachiya, H., Chen, M., … Kuck, K.-H. (2004). Complete Isolation of Left Atrium Surrounding the Pulmonary Veins. Circulation, 110(15), 2090-2096. doi:10.1161/01.cir.0000144459.37455.eeChen, S.-A., Hsieh, M.-H., Tai, C.-T., Tsai, C.-F., Prakash, V. S., Yu, W.-C., … Chang, M.-S. (1999). Initiation of Atrial Fibrillation by Ectopic Beats Originating From the Pulmonary Veins. Circulation, 100(18), 1879-1886. doi:10.1161/01.cir.100.18.1879SOTOMI, Y., KIKKAWA, T., INOUE, K., TANAKA, K., TOYOSHIMA, Y., OKA, T., … FUJII, K. (2014). Regional Difference of Optimal Contact Force to Prevent Acute Pulmonary Vein Reconnection During Radiofrequency Catheter Ablation for Atrial Fibrillation. Journal of Cardiovascular Electrophysiology, 25(9), 941-947. doi:10.1111/jce.12443BALK, E. M., GARLITSKI, A. C., ALSHEIKH-ALI, A. A., TERASAWA, T., CHUNG, M., & IP, S. (2010). Predictors of Atrial Fibrillation Recurrence After Radiofrequency Catheter Ablation: A Systematic Review. Journal of Cardiovascular Electrophysiology, 21(11), 1208-1216. doi:10.1111/j.1540-8167.2010.01798.xAd, N., Holmes, S. D., Patel, J., Je, H. G., & Shuman, D. J. (2017). The Need for Consistent Predictors of Success for Surgical Ablation of Atrial Fibrillation. Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery, 12(6), 421-429. doi:10.1097/imi.0000000000000426Njoku, A., Kannabhiran, M., Arora, R., Reddy, P., Gopinathannair, R., Lakkireddy, D., & Dominic, P. (2017). Left atrial volume predicts atrial fibrillation recurrence after radiofrequency ablation: a meta-analysis. EP Europace, 20(1), 33-42. doi:10.1093/europace/eux013Ropella, K. M., Sahakian, A. V., Baerman, J. M., & Swiryn, S. (1989). The coherence spectrum. A quantitative discriminator of fibrillatory and nonfibrillatory cardiac rhythms. Circulation, 80(1), 112-119. doi:10.1161/01.cir.80.1.112Cervigón, R., Moreno, J., Sánchez, C., Reilly, R. B., Villacastín, J., Millet, J., & Castells, F. (2008). Atrial fibrillation organization: quantification of propofol effects. Medical & Biological Engineering & Computing, 47(3), 333-341. doi:10.1007/s11517-008-0421-0Cervigón, R., Moreno, J., Reilly, R. B., Pérez-Villacastín, J., & Castells, F. (2012). Quantification of anaesthetic effects on atrial fibrillation rate by partial least-squares. Physiological Measurement, 33(10), 1757-1768. doi:10.1088/0967-3334/33/10/175

    Tool for assessing the adequacy of software to process ITIL incident management

    Full text link
    [EN] The Information Technology (IT) and Information Systems (IS) are becoming increasingly important in business and get help achieve their corporate objectives efficiently. This importance is a growing trend, and based on that, the need to properly manage these IT arises. To bring that management properly, a number of frameworks appear to perform such management in a systematic and organized way. The implementation of these frameworks, such as ITIL, is complex, and must be supported by the right tools. But it is not easy to know if a tool is appropriate, or meets the requirements. This paper presents a model for evaluating tools for managing one of the key processes defined in ITIL is presented, as is the Incident Management process.[ES] Las Tecnologías de la Información (TI) y los Sistemas de Información (SI) son cada vez más importantes en las empresas para conseguir alcanzar sus objetivos corporativos de forma eficiente. En función de esta importancia, que sigue una tendencia creciente, surge la necesidad de gestionar de forma adecuada estas TI, y en relación con ello, una serie de marcos de trabajo para llevar a cabo esa gestión de forma sistemática y organizada. La implantación de estos marcos de trabajo, como es el caso de ITIL, resulta compleja, y debe estar soportada por las herramientas adecuadas. Pero no es fácil saber si una herramienta es adecuada, o se ajusta a las necesidades. En este trabajo se presenta un modelo de evaluación de Herramientas para llevar a cabo la gestión de uno de los procesos clave definidos en ITIL, como es el proceso de Gestión de Incidentes.Oltra Badenes, RF.; Roig Ferriol, JM. (2014). Herramienta para la evaluación de la adecuación de software al proceso de gestión de incidentes de ITIL. 3c Tic. 3(4):212-227. http://hdl.handle.net/10251/52745S2122273

    From 12 to 1 ECG lead: multiple cardiac condition detection mixing a hybrid machine learning approach with a one-vs-rest classification strategy

    Full text link
    [EN] Objective: Detecting different cardiac diseases using a single or reduced number of leads is still challenging. This work aims to provide and validate an automated method able to classify ECG recordings. Performance using complete 12-lead systems, reduced lead sets, and single-lead ECGs is evaluated and compared. Approach: Seven different databases with 12-lead ECGs were provided during the PhysioNet/Computing in Cardiology Challenge 2021, where 88,253 annotated samples associated with none, one, or several cardiac conditions among 26 different classes were released for training, whereas 42,896 hidden samples were used for testing. After signal preprocessing, 81 features per ECG-lead were extracted, mainly based on heart rate variability, QRST patterns and spectral domain. Next, a One-vs-Rest classification approach made of independent binary classifiers for each cardiac condition was trained. This strategy allowed each ECG to be classified as belonging to none, one or several classes. For each class, a classification model among two binary Supervised Classifiers and one Hybrid Unsupervised-Supervised classification system was selected. Finally, we performed a 3-fold cross-validation to assess the system's performance. Main results: Our classifiers received scores of 0.39, 0.38, 0.39, 0.38, and 0.37 for the 12, 6, 4, 3 and 2-lead versions of the hidden test set with the Challenge evaluation metric (CM). Also, we obtained a mean G-score of 0.80, 0.78, 0.79, 0.79, 0.77 and 0.74 for the 12, 6, 4, 3, 2 and 1-lead subsets with the public training set during our 3-fold cross-validation. Significance: We proposed and tested a machine learning approach focused on flexibility for identifying multiple cardiac conditions using one or more ECG leads. Our minimal-lead approach may be beneficial for novel portable or wearable ECG devices used as screening tools, as it can also detect multiple and concurrent cardiac conditions.This work was supported by PID2019-109547RB-I00 (National Research Program, Ministerio de Ciencia e Innovación, Spanish Government) and CIBERCV CB16/11/00486 (Instituto de Salud Carlos III).Jiménez-Serrano, S.; Rodrigo, M.; Calvo Saiz, CJ.; Millet Roig, J.; Castells, F. (2022). From 12 to 1 ECG lead: multiple cardiac condition detection mixing a hybrid machine learning approach with a one-vs-rest classification strategy. Physiological Measurement. 43(6):1-17. https://doi.org/10.1088/1361-6579/ac72f511743

    Draft Genome Sequence of Environmental Bacterium Vibrio vulnificus CladeA-yb158

    Get PDF
    We report the genome sequence of the environmental Vibrio vulnificus biotype 1_cladeA. This draft genome of the CladeA-yb158 strain, isolated in Israel, represents this newly emerged clonal group that contains both clinical and environmental strains

    Proposed model for assessment tools for managing the ITIL problem management

    Full text link
    [ES] En el competitivo entorno en el que nos hallamos actualmente, la gestión adecuada de las Tecnologías de la Información (TI) y de los sistemas de información (SI) de las organizaciones, es un aspecto estratégico y fundamental para que estas consigan alcanzar sus objetivos corporativos. En ese entorno, surgen marcos de trabajo para gestionar de la mejor forma los servicios de TI en las organizaciones. La implantación de estos marcos de trabajo, como es el caso de ITIL, resulta compleja, y debe estar soportada por las herramientas adecuadas. Pero no es fácil saber si una herramienta es adecuada, o se ajusta a las necesidades. En este trabajo se presenta un modelo de evaluación de Herramientas para llevar a cabo la gestión de uno de los procesos clave definidos en ITIL, como es el proceso de Gestión de Problemas.[EN] In the competitive environment in which we are, proper management of Information Technology (IT) and information systems (IS) is a strategic and fundamental aspect for organizations to be able to achieve their corporate objectives. In that environment, frameworks emerge to manage in the best way IT services in organizations. The implementation of these frameworks, such ITIL, is complex, and must be supported by appropriate tools. But it is not easy to tell if a tool is appropriate, or is adjusted to the needs. This paper presents an evaluation model of tools to carry out the management of the Problem Management process, one of the key processes defined in ITIL, as is the Problem Management process.Roig-Ferriol, JM.; Oltra Badenes, RF. (2015). Propuesta de modelo de evaluación de herramientas para la gestión del proceso de gestión de problemas de ITIL. 3C TIC, cuadernos de desarrollo aplicados a las TIC. 4(1):26-42. http://hdl.handle.net/10251/94984S26424

    Multiple Cardiac Disease Detection from Minimal-Lead ECG Combining Feedforward Neural Networks with a One-vs-Rest Approach

    Full text link
    [EN] Although standard 12-lead ECG is the primary technique in cardiac diagnostic, detecting different cardiac diseases using single or reduced number of leads is still challenging. The purpose of our team, itaca-UPV, is to provide a method able to classify ECG records using minimal lead information in the context of the 2021 PhysioNet/Computing in Cardiology Challenge, also using only a single-lead. We resampled and filtered the ECG signals, and extracted 109 features mostly based on Hearth Rhythm Variability (HRV). Then, we used selected features to train one feed-forward neural network (FFNN) with one hidden layer for each class using a One-vs-Rest approach, thus allowing each ECG to be classified as belonging to none or more than one class. Finally, we performed a 3-fold cross validation to assess the model performance. Our classifiers received scores of 0.34, 0.34, 0.27, 0.30, and 0.34 (ranked 26th, 21th, 29th, 25th, and 22th out of 39 teams) for the 12, 6, 4, 3 and 2-lead versions of the hidden test set with the Challenge evaluation metric. Our minimal-lead approach may be beneficial for novel portable or wearable ECG devices used as screening tools, as it can also detect multiple and concurrent cardiac conditions. Accuracy in detection can be improved adding more disease-specific features.Jiménez-Serrano, S.; Rodrigo Bort, M.; Calvo Saiz, CJ.; Castells, F.; Millet Roig, J. (2021). Multiple Cardiac Disease Detection from Minimal-Lead ECG Combining Feedforward Neural Networks with a One-vs-Rest Approach. 1-4. https://doi.org/10.22489/CinC.2021.1091

    Factors of regional poverty reduction in Colombia: Do institutional conditions matter?

    Full text link
    [EN] Colombia has a unique history, which has been heavily conditioned by armed conflict lasting more than 50 years. This study examines the institutional conditions for success and failure in reducing poverty in Colombian departments by considering changes that took place between 2003 and 2014. Fuzzy-set qualitative comparative analysis identifies the changes in regional conditions that reduce poverty over time. The pathways for poverty reduction are multidimensional, and many involve changes in institutional attributes such as government transparency, absence of violence, and electoral turnout. The framework developed in this paper can be used to monitor necessary and sufficient pathways in regional clusters.This work was funded by Grant AGL2015-65897-C3-3-R, ¿Spanish Ministry of Science, Innovation, and Universities¿.Nieto-Alemán, PA.; García Alvarez-Coque, JM.; Roig Tierno, N.; Mas Verdú, F. (2019). Factors of regional poverty reduction in Colombia: Do institutional conditions matter?. Social Policy and Administration. 53(7):1045-1063. https://doi.org/10.1111/spol.12474S10451063537Acemoglu, D., & Robinson, J. A. (2012). Why Nations Fail: The Origins of Power, Prosperity and Poverty. ASEAN ECONOMIC BULLETIN, 29(2), 168. doi:10.1355/ae29-2jAlkire, S., & Santos, M. E. (2013). A Multidimensional Approach: Poverty Measurement & Beyond. Social Indicators Research, 112(2), 239-257. doi:10.1007/s11205-013-0257-3Amin, A. (1999). An Institutionalist Perspective on Regional Economic Development. International Journal of Urban and Regional Research, 23(2), 365-378. doi:10.1111/1468-2427.00201Angulo, R., Díaz, Y., & Pardo, R. (2015). The Colombian Multidimensional Poverty Index: Measuring Poverty in a Public Policy Context. Social Indicators Research, 127(1), 1-38. doi:10.1007/s11205-015-0964-zAtkinson, A. B., & Bourguignon, F. (1982). The Comparison of Multi-Dimensioned Distributions of Economic Status. The Review of Economic Studies, 49(2), 183. doi:10.2307/2297269Bastiaensen, J., Herdt, T. D., & D’Exelle, B. (2005). Poverty reduction as a local institutional process. World Development, 33(6), 979-993. doi:10.1016/j.worlddev.2004.09.019Baumann, C., & Winzar, H. (2014). The role of secondary education in explaining competitiveness. Asia Pacific Journal of Education, 36(1), 13-30. doi:10.1080/02188791.2014.924387Belhadj, B. (2011). New fuzzy indices of poverty by distinguishing three levels of poverty. Research in Economics, 65(3), 221-231. doi:10.1016/j.rie.2010.10.002Belhadj, B., & Limam, M. (2012). Unidimensional and multidimensional fuzzy poverty measures: New approach. Economic Modelling, 29(4), 995-1002. doi:10.1016/j.econmod.2012.03.009Betti, G., Cheli, B., Lemmi, A., & Verma, V. (2006). Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach. Economic Studies in Inequality, Social Exclusion and Well-Being, 115-137. doi:10.1007/978-0-387-34251-1_7Bretthauer, J. M. (2014). Conditions for Peace and Conflict. Journal of Conflict Resolution, 59(4), 593-616. doi:10.1177/0022002713516841BTI. (2018).Colombia Country Report. Project “Shaping Change—Strategies of Development and Transformation.” Retrieved fromhttp://www.bti‐project.org/en/reports/country‐reports/detail/itc/COL/Bozzoli, C., & Brück, T. (2009). Agriculture, Poverty, and Postwar Reconstruction: Micro-Level Evidence from Northern Mozambique. Journal of Peace Research, 46(3), 377-397. doi:10.1177/0022343309102658Charlton A. &Stiglitz J.(2004).Capital market liberalization and poverty.Initiative for Policy Dialogue Working Papers. 1–22.Collins, P. D. (2012). GOVERNANCE AND THE ERADICATION OF POVERTY: AN INTRODUCTION TO THE SPECIAL ISSUE. Public Administration and Development, 32(4-5), 337-344. doi:10.1002/pad.1640DANE. (2015).Regional GDP; Demography; Poverty rates [Data file]. Retrieved from:http://www.dane.gov.co/index.phpDeaton, A. (2010). Price Indexes, Inequality, and the Measurement of World Poverty. American Economic Review, 100(1), 5-34. doi:10.1257/aer.100.1.5Abbie Erler, H. (2012). A New Face of Poverty? Economic Crises and Poverty Discourses. Poverty & Public Policy, 4(4), 183-204. doi:10.1002/pop4.13Fiss, P. C. (2011). Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research. Academy of Management Journal, 54(2), 393-420. doi:10.5465/amj.2011.60263120Flores, T. E. (2014). Vertical Inequality, Land Reform, and Insurgency in Colombia. Peace Economics, Peace Science and Public Policy, 20(1), 5-31. doi:10.1515/peps-2013-0058GAN. (2018).Colombia Corruption Report. Retrieved fromhttps://www.business‐anti‐corruption.com/country‐profiles/colombia/Gates, S., Hegre, H., Nygård, H. M., & Strand, H. (2012). Development Consequences of Armed Conflict. World Development, 40(9), 1713-1722. doi:10.1016/j.worlddev.2012.04.031Glick, R., & Taylor, A. M. (2010). Collateral Damage: Trade Disruption and the Economic Impact of War. Review of Economics and Statistics, 92(1), 102-127. doi:10.1162/rest.2009.12023Grindle, M. S. (2004). Good Enough Governance: Poverty Reduction and Reform in Developing Countries. Governance, 17(4), 525-548. doi:10.1111/j.0952-1895.2004.00256.xHarriss, J. (2007). Bringing Politics Back into Poverty Analysis: Why Understanding Social Relations Matters More for Policy on Chronic Poverty than Measurement. SSRN Electronic Journal. doi:10.2139/ssrn.1752973Herrera, J., Razafindrakoto, M., & Roubaud, F. (2007). Governance, Democracy and Poverty Reduction: Lessons Drawn from Household Surveys in Sub-Saharan Africa and Latin America. International Statistical Review, 75(1), 70-95. doi:10.1111/j.1751-5823.2006.00005.xIbáñez, A. M., & Velásquez, A. (2009). Identifying Victims of Civil Conflicts: An Evaluation of Forced Displaced Households in Colombia. Journal of Peace Research, 46(3), 431-451. doi:10.1177/0022343309102661Justino, P. (2011). Poverty and Violent Conflict: A Micro-Level Perspective on the Causes and Duration of Warfare. IDS Working Papers, 2011(385), 1-25. doi:10.1111/j.2040-0209.2011.00385_2.xLijphart, A. (1997). Unequal Participation: Democracy’s Unresolved Dilemma Presidential Address, American Political Science Association, 1996. American Political Science Review, 91(1), 1-14. doi:10.2307/2952255Lister, M. (2007). Institutions, Inequality and Social Norms: Explaining Variations in Participation. The British Journal of Politics and International Relations, 9(1), 20-35. doi:10.1111/j.1467-856x.2007.00246.xMahler, V. A., Jesuit, D. K., & Paradowski, P. R. (2013). Electoral Turnout and State Redistribution. Political Research Quarterly, 67(2), 361-373. doi:10.1177/1065912913509306Medzihorsky J. Oana I. E. Quaranta M. Schneider C. Q. &Oana M. I. E.(2017).Package ‘SetMethods’.Moyano Pesquera, P. B. (2018). La implicación de los agentes sociales y económicos en el desarrollo rural: una necesidad insatisfecha. Economía Agraria y Recursos Naturales, 17(2), 55. doi:10.7201/earn.2017.02.03Mwangi, E., & Markelova, H. (2009). Collective Action and Property Rights for Poverty Reduction: A Review of Methods and Approaches. Development Policy Review, 27(3), 307-331. doi:10.1111/j.1467-7679.2009.00448.xNeff, D. (2013). Fuzzy set theoretic applications in poverty research. Policy and Society, 32(4), 319-331. doi:10.1016/j.polsoc.2013.10.004Pierson, P. (1993). When Effect Becomes Cause: Policy Feedback and Political Change. World Politics, 45(4), 595-628. doi:10.2307/2950710Pierson, P. (2000). The Limits of Design: Explaining Institutional Origins and Change. Governance, 13(4), 475-499. doi:10.1111/0952-1895.00142Putnam, R. D., Leonardi, R., & Nonetti, R. Y. (1994). Making Democracy Work. doi:10.2307/j.ctt7s8r7Ragin, C. C. (2008). Redesigning Social Inquiry. doi:10.7208/chicago/9780226702797.001.0001Royuela, V., & García, G. A. (2013). Economic and Social Convergence in Colombia. Regional Studies, 49(2), 219-239. doi:10.1080/00343404.2012.762086RUV. (2016).Regional forced displacement. Unique victims registry. [Data file]. Retrieved from:http://rni.unidadvictimas.gov.co/RUVSchneider, H. (1999). Participatory governance for poverty reduction. Journal of International Development, 11(4), 521-534. doi:10.1002/(sici)1099-1328(199906)11:43.0.co;2-jSen, A. (1983). Development: Which Way Now? The Economic Journal, 93(372), 745. doi:10.2307/2232744Sen, A. (2008). Violence, Identity and Poverty. Journal of Peace Research, 45(1), 5-15. doi:10.1177/0022343307084920Steele, A. (2011). Electing Displacement: Political Cleansing in Apartadó, Colombia. SSRN Electronic Journal. doi:10.2139/ssrn.1864165Tebaldi, E., & Mohan, R. (2010). Institutions and Poverty. Journal of Development Studies, 46(6), 1047-1066. doi:10.1080/00220380903012730Transparency for Colombia. (2015).Corruption risk index [Data file]. Retrieved fromhttp://transparenciacolombia.org.co.(1997). World Development Report 1997. doi:10.1596/978-0-1952-1114-6Daly, S. Z. (2012). Organizational legacies of violence. Journal of Peace Research, 49(3), 473-491. doi:10.1177/002234331143580

    Multidimensional paths to regional poverty: a Fuzzy-set qualitative comparative analysis of Colombian departments

    Full text link
    This is an Author's Accepted Manuscript of an article published in Nieto-Alemán, Paula Andrea, Roig Tierno, Honorat, Mas Verdú, Francisco, García Alvarez-Coque, José María. (2018). Multidimensional paths to regional poverty: a Fuzzy-set qualitative comparative analysis of Colombian departments.Journal of Human Development and Capabilities, 19, 4, 499-520. DOI: 10.1080/19452829.2018.1504760, available online at: http://doi.org/ 10.1080/19452829.2018.1504760[EN] This paper provides a simple, systemic, holistic assessment of regional conditions that lead to capability deprivation. Capability deprivation is measured at the regional level using the indicators of monetary poverty and life expectancy in Colombia. Fuzzy-set qualitative comparative analysis (fsQCA) is used to identify necessary or sufficient conditions for high and low deprivation in Colombian departments (regions). The multidimensional paths consist of combinations of economic conditions (GDP per capita and trade openness), social conditions (education) and institutional conditions (transparency and internal displacement). The observed interactions between conditions indicate that no single condition leads to regional poverty. Peace and transparent institutions are important conditions in most of the paths that lead to high or low capability or functioning indicators.This work was supported by the Ministerio de Economia y Competitividad [AGL2015-65897-C3-3-R].Nieto-Alemán, PA.; Roig Tierno, H.; Mas Verdú, F.; García Alvarez-Coque, JM. (2018). Multidimensional paths to regional poverty: a Fuzzy-set qualitative comparative analysis of Colombian departments. Journal of Human Development and Capabilities. 19(4):499-520. https://doi.org/10.1080/19452829.2018.1504760S49952019
    corecore