HispaVeg: a new online vegetation plot database for Spain

We describe a new online database, named HispaVeg, which currently holds data from 2663 vegetation plots of Spanish woodlands, scrublands and grasslands. Unlike other similar databases, a detailed description of the structure is stored with the floristic data of each plot (i.e., number and physiognomy of the vertical layers, cover values for each layer).Most of the vegetation plots are large rectangles (400 to 2000 square meters) with an average of 34 species per plot. The survey dates range from 1956 to present, with most of the records between 1964 and 1994. The elevation of the plots ranges from 0 to 2880, with most of the plots between 300 and 1500 m. HispaVeg is freely available to the scientific community. Users can query the online database, view printable reports for each plot and download spreadsheet-like raw data for subsets of vegetation plots

Asymptotic properties and optimization of some non-Markovian stochastic processes

summary:We study the limit behavior of certain classes of dependent random sequences (processes) which do not possess the Markov property. Assuming these processes depend on a control parameter we show that the optimization of the control can be reduced to a problem of nonlinear optimization. Under certain hypotheses we establish the stability of such optimization problems

A data generator for covid-19 patients’ care requirements inside hospitals

[EN] A Spanish version of the article is provided (see section before references). This paper presents the generation of a plausible data set related to the needs of COVID-19 patients with severe or critical symptoms. Possible illness’ stages were proposed within the context of medical knowledge as of January 2021. The parameters chosen in this data set were customized to fit the population data of the Valencia region (Spain) with approximately 2.5 million inhabitants. They were based on the evolution of the pandemic between September 2020 and March 2021, a period that included two complete waves of the pandemic. Contrary to expectation and despite the European and national transparency laws (BOE-A2013-12887, 2013; European Parliament and Council of the European Union, 2019), the actual COVID-19 pandemic-related data, at least in Spain, took considerable time to be updated and made available (usually a week or more). Moreover, some relevant data necessary to develop and validate hospital bed management models were not publicly accessible. This was either because these data were not collected, because public agencies failed to make them public (despite having them indexed in their databases), the data were processed within indicators and not shown as raw data, or they simply published the data in a format that was difficult to process (e.g., PDF image documents versus CSV tables). Despite the potential of hospital information systems, there were still data that were not adequately captured within these systems. Moreover, the data collected in a hospital depends on the strategies and practices specific to that hospital or health system. This limits the generalization of "real" data, and it encourages working with "realistic" or plausible data that are clean of interactions with local variables or decisions (Gunal, 2012; Marin-Garcia et al., 2020). Besides, one can parameterize the model and define the data structure that would be necessary to run the model without delaying till the real data become available. Conversely, plausible data sets can be generated from publicly available information and, later, when real data become available, the accuracy of the model can be evaluated (Garcia-Sabater and Maheut, 2021). This work opens lines of future research, both theoretical and practical. From a theoretical point of view, it would be interesting to develop machine learning tools that, by analyzing specific data samples in real hospitals, can identify the parameters necessary for the automatic prototyping of generators adapted to each hospital. Regarding the lines of research applied, it is evident that the formalism proposed for the generation of sound patients is not limited to patients affected by SARS-CoV-2 infection. The generation of heterogeneous patients can represent the needs of a specific population and serve as a basis for studying complex health service delivery systems.[ES] En este trabajo se presenta cómo se ha generado un conjunto de datos verosímiles relacionados con las necesidades de pacientes covid-19 con síntomas severe or critical. Se considerarán las etapas posibles con los conocimientos médicos a fecha de enero de 2021. Los parámetros elegidos en este data set están personalizados para adecuarse a los valores poblacionales de la región de Valencia (Spain), unos 2.5 Millones de habitantes y la evolución de la pandemia entre los meses de septiembre 2020 y marzo 2021, un periodo de tiempo que contemple dos olas completas de pandemia.En contra de lo que cabría esperar, a pesar de la ley de transparencia europea y nacional (BOE-A-2013-12887, 2013; Parlamento Europeo y del Consejo de la Unión Europea, 2019), los datos reales relacionados con la pandemia covid-19, al menos en España, tardan mucho en actualizarse y estar disponibles (normalmente una semana o más días). Además, algunos datos relevantes para trabajar los modelos de gestión de camas de hospital no están accesibles públicamente. Bien porque no se hayan recogido esos datos, o porque los organismos públicos no los ofrecen (a pesar de tenerlos indexados en sus bases de datos), o los ofrecen camuflados en indicadores procesados y no muestran los datos en bruto, o simplemente los publican en un formato de difícil reutilización (por ejemplo, en documentos PDF en lugar de en tablas CSV). A pesar de que los sistemas de información de los hospitales son bastante potentes, siguen existiendo datos que ni siquiera están recogidos adecuadamente en el sistema de información de salud.Por otra parte, los datos recogidos en un hospital dependen de las estrategias y practicas propias de ese hospital o sistema de salud. Este efecto limita la generalización de los datos “reales” y es necesario trabajar con datos “realistas” o verosímiles que están limpios de interacciones con variables o decisiones locales (Gunal, 2012; Marin-Garcia et al., 2020). Por un lado, se puede parametrizar el modelo y definir la estructura de datos que sería necesaria para ejecutar el modelo con datos reales. Por otro lado, se pueden generar conjuntos de datos verosímiles a partir de la información pública disponible y, posteriormente, cuando se disponga de los datos reales evaluar la bondad del modelo (Garcia-Sabater & Maheut, 2021).Marin-Garcia, JA.; Ruiz, A.; Julien, M.; Garcia-Sabater, JP. (2021). A data generator for covid-19 patients’ care requirements inside hospitals. WPOM-Working Papers on Operations Management. 12(1):76-115. https://doi.org/10.4995/wpom.1533276115121Alexander, G. L. (2007). The nurse-patient trajectory framework. Medinfo. MEDINFO, 12(Pt 2), 910- 914.Belciug, S., Bejinariu, S. I., & Costin, H. (2020). An artificial immune system approach for a multicompartment queuing model for improving medical resources and inpatient bed occupancy in pandemics. Advances in Electrical and Computer Engineering, 20(3). https://doi.org/10.4316/AECE.2020.03003BOE-A-2013-12887. (2013). Ley 19/2013, de 9 de diciembre, de transparencia acceso a la información pública y buen gobierno. 1-32.Brochard, L. (2003). Mechanical ventilation: Invasive versus noninvasive. European Respiratory Journal, Supplement, 22(47), 31s-37s. https://doi.org/10.1183/09031936.03.00050403Buckley, D., & Gillham, M. (2007). Invasive Respiratory Support. In Cardiothoracic Critical Care (pp. 419-436). Elsevier Inc. https://doi.org/10.1016/B978-075067572-7.50032-1Casas-Rojo, J. M., Antón-Santos, J. M., Millán-Núñez-Cortés, J., Lumbreras-Bermejo, C., RamosRincón, J. M., Roy-Vallejo, E., Artero-Mora, A., Arnalich-Fernández, F., García-Bruñén, J. M., Vargas-Núñez, J. A., Freire-Castro, S. J., Manzano-Espinosa, L., Perales-Fraile, I., CresteloViéitez, A., Puchades-Gimeno, F., Rodilla-Sala, E., Solís-Marquínez, M. N., Bonet-Tur, D., Fidalgo-Moreno, M. P., … Gómez-Huelgas, R. (2020). 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American Journal of Emergency Medicine, 43, 103-108. https://doi.org/10.1016/j.ajem.2021.01.068Dominguez-Lara, S. A. (2018). Odds-ratios and their interpretation as effect size in research. In Educacion Medica (Vol. 19, Issue 1, pp. 65-66). Fundacion Educacion Medica. https://doi.org/10.1016/j.edumed.2017.01.008ECDP. (2020). Guidance for discharge and ending isolation in the context of widespread community transmission of COVID-19-first update Scope of this document. In European Centre for Disease Prevention (Issue April, pp. 1-8).Epstein, R. H., & Dexter, F. (2020). A Predictive Model for Patient Census and Ventilator Requirements at Individual Hospitals During the Coronavirus Disease 2019 (COVID-19) Pandemic: A Preliminary Technical Report. Cureus. https://doi.org/10.7759/cureus.8501European center for disease prevention and control. (2020). Coronavirus disease 2019 (COVID-19) pandemic: increased transmission in the EU/EEA and the UK - seventh update. 2019 (March).Fowler, R., Hatchette, T., Salvadori, M., Baclic, O., Volling, C., Murthy, S., Emeriaud, G., Money, D., Brooks, J., Decou, M., & Ofner, M. (2020). Clinical management of patients with COVID-19: Second interim guidance. Canadian Critical Care Society and Association of Medical Microbiology and Infectious Disease (AMMI) Canada, 1-67.Garcia-Sabater, J. P., & Maheut, J. (2021). Introducción al Modelado Matematico, Nota Técnica. RiuNet. Repositorio Institucional UPV. https://doi.org/http://hdl.handle.net/10251/158555Garcia-Sabater, J. P., Maheut, J., Ruiz, A., & Garcia-Sabater, J. J. (2020). A framework for capacity and operations planning in services organizations employing workers with intellectual disabilities. Sustainability (Switzerland), 12(22), 1-17. https://doi.org/10.3390/su12229713Generalitat Valenciana. Conselleria de Sanitat Universal i Salut Pública. (2019). Memoria de gestión conselleria de sanitat universal i salut pública 2019. 14493-14496.Generalitat Valenciana. (2018). Memoria de Gestión de la Conselleria de Sanitat Universal i Salut Pública.Guan, W., Ni, Z., Hu, Y., Liang, W., Ou, C., He, J., Liu, L., Shan, H., Lei, C., Hui, D. S. C., Du, B., Li, L., Zeng, G., Yuen, K.-Y., Chen, R., Tang, C., Wang, T., Chen, P., Xiang, J., … Zhong, N. (2020). Clinical Characteristics of Coronavirus Disease 2019 in China. New England Journal of Medicine, 382(18), 1708-1720. https://doi.org/10.1056/NEJMoa2002032Gunal, M. M. (2012). A guide for building hospital simulation models. Health Systems, 1(1), 17-25. https://doi.org/10.1057/hs.2012.8Hair, J. F., Black, W. C., Babin, B., & Anderson, R. E. (2009). Multivariate data analysis (7th edition). Prentice Hall. Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., … Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497- 506. https://doi.org/10.1016/S0140-6736(20)30183-5Lagarda-Leyva, E. A., & Ruiz, A. (2019). A Systems Thinking Model to Support Long-Term Bearability of the Healthcare System: The Case of the Province of Quebec. Sustainability, 11(24), 7028. https://doi.org/10.3390/su11247028Manninen, K. (2020). Typical progress of covid-19. Marin-Garcia, J. A. (2015). Publishing in two phases for focused research by means of "research collaborations." WPOM-Working Papers on Operations Management, 6(2), 76. https://doi.org/10.4995/wpom.v6i2.4459Marin-Garcia, J. A., Bonavia, T., & Losilla, J.-M. (2020). Changes in the Association between European Workers' Employment Conditions and Employee Well-Being in 2005, 2010 and 2015. International Journal of Environmental Research and Public Health, 17(3), 1048. https://doi.org/10.3390/ijerph17031048Marin-Garcia, J. A., Garcia-Sabater, J. P., Ruiz, A., Maheut, J., & Garcia-Sabater, J. J. (2020). Operations Management at the service of health care management: Example of a proposal for action research to plan and schedule health resources in scenarios derived from the COVID-19 outbreak. Journal of Industrial Engineering and Management, 13(2), 213. https://doi.org/10.3926/jiem.3190Marin-Garcia, J. A., Vidal-Carreras, P. I., Garcia Sabater, J. J., & Escribano-Martinez, J. (2019). Protocol: Value Stream Maping in Healthcare. A systematic literature review. WPOM-Working Papers on Operations Management, 10(2), 36. https://doi.org/10.4995/wpom.v10i2.12297Ministerio De Sanidad, Servicios Sociales e Igualdad. (2017). Hábitos de Vida Informe Anual del Sistema Nacional de salud 2016 (INFORMES,). MINISTERIO DE SANIDAD, SERVICIOS SOCIALES E IGUALDAD.Mun, J. (2008). Appendix C. Understanding and Choosing the Right Probability Distributions. Advanced Analytical Models: Over 800 Models and 300 Applications from the Basel II Accord to Wall Street and Beyond, 899-917. https://doi.org/10.1002/9781119197096.app03Nino, V., Gomez, K., Martinez, K., & Claudio, D. (2021). Improving the registration process in a healthcare facility with lean principles. Journal of Industrial Engineering and Management, 14, in press. https://doi.org/https://doi.org/jiem.3432Olivieri, A., Palù, G., & Sebastiani, G. (2021). COVID-19 cumulative incidence, intensive care, and mortality in Italian regions compared to selected European countries. International Journal of Infectious Diseases, 102. https://doi.org/10.1016/j.ijid.2020.10.070Parlamento Europeo y del Consejo de la Unión Europea. (2019). Directiva(UE) 2019/1024 DEL PARLAMENTO EUROPEO Y DEL CONSEJO de la Unión Europea de 20 de junio de 2019 relativa a los datos abiertos y la reutilización de la información del sector público (versión refundida). 172/56-172/78.Petermann-Rocha, F., Hanlon, P., Gray, S. R., Welsh, P., Gill, J. M. R., Foster, H., Katikireddi, S. V., Lyall, D., Mackay, D. F., O'Donnell, C. A., Sattar, N., Nicholl, B. I., Pell, J. P., Jani, B. D., Ho, F. K., Mair, F. S., & Celis-Morales, C. (2020). Comparison of two different frailty measurements and risk of hospitalisation or death from COVID-19: findings from UK Biobank. BMC Medicine, 18(1). https://doi.org/10.1186/s12916-020-01822-4Pinaire, J., Azé, J., Bringay, S., & Landais, P. (2017). Patient healthcare trajectory. An essential monitoring tool: a systematic review. Health Information Science and Systems, 5(1), 1-18. https://doi.org/10.1007/s13755-017-0020-2Plaza, J. (2021). Informe Científico-Divulgativo: Un Año De Coronavirus Sars-Cov-2. Ministerio de Ciencia e Innovación.Popat, B., & Jones, A. T. (2012). Invasive and non-invasive mechanical ventilation. In Medicine (United Kingdom) (Vol. 40, Issue 6, pp. 298-304). Elsevier Ltd. https://doi.org/10.1016/j.mpmed.2012.03.010Posso, M., Comas, M., Román, M., Domingo, L., Louro, J., González, C., Sala, M., Anglès, A., Cirera, I., Cots, F., Frías, V.-M., Gea, J., Güerri-Fernández, R., Masclans, J. R., Noguès, X., Vázquez, O., Villar-García, J., Horcajada, J. P., Pascual, J., & Castells, X. (2020). Comorbidities and Mortality in Patients With COVID-19 Aged 60 Years and Older in a University Hospital in Spain. Archivos de Bronconeumología, 56(11), 756-758. https://doi.org/10.1016/j.arbres.2020.06.012R Core Team. (2020). R: A Language and Environment for Statistical Computing. Revelle, W. (2021). psych: Procedures for Psychological, Psychometric, and Personality Research.Roa-Martínez, S. M., Vidotti, S. A. B., & Santana, R. C. (2017). Estructura propuesta del artículo de datos como publicación científica. Revista Espanola de Documentacion Cientifica, 40(1), 1-12. https://doi.org/10.3989/redc.2017.1.1375Romeo Casabona, C. M., & Urruela Mora, A. (2020). Informe Del Ministerio De Sanidad Sobre Los Aspectos Éticos En Situaciones De Pandemia: El Sars-Cov-2. 12.RStudio Team. (2020). RStudio: Integrated Development for R. RStudio, PBC. Rubio-Rivas, M., Corbella, X., Mora-Luján, J. M., Loureiro-Amigo, J., López Sampalo, A., Yera Bergua, C., Esteve Atiénzar, P. J., Díez García, L. F., Gonzalez Ferrer, R., Plaza Canteli, S., Pérez Piñeiro, A., Cortés Rodríguez, B., Jorquer Vidal, L., Pérez Catalán, I., León Téllez, M., Martín Oterino, J. Á., Martín González, M. C., Serrano Carrillo de Albornoz, J. L., García Sardon, E., … GómezHuelgas, R. (2020). Predicting Clinical Outcome with Phenotypic Clusters in COVID-19 Pneumonia: An Analysis of 12,066 Hospitalized Patients from the Spanish Registry SEMI-COVID19. Journal of Clinical Medicine, 9(11), 3488. https://doi.org/10.3390/jcm9113488Ruckdeschel, P., Kohl, M., Stabla, T., & Camphausen, F. (2006). S4 Classes for Distributions. R News, 6(2), 2-6. Ruza, F. (2008). Cuidados Intensivos Pediatricos. 6(6), 336. Schauberger, P., & Walker, A. (2020). openxlsx: Read, Write and Edit xlsx Files.Stang, A., Stang, M., & Jöckel, K. H. (2020). Estimated use of intensive care beds due to COVID-19 in Germany over time. Deutsches Arzteblatt International, 117(19). https://doi.org/10.3238/arztebl.2020.0329Unroe, M., Kahn, J. M., Carson, S. S., Govert, J. A., Martinu, T., Sathy, S. J., Clay, A. S., Chia, J., Gray, A., Tulsky, J. A., & Cox, C. E. (2010). One-year trajectories of care and resource utilization for recipients of prolonged mechanical ventilation: A cohort study. Annals of Internal Medicine, 153(3), 167-175. https://doi.org/10.7326/0003-4819-153-3-201008030-00007Venables, W. N., & Ripley, B. D. (2002). Modern Applied Statistics with S (Fourth). Springer. https://doi.org/10.1007/978-0-387-21706-2Wang, Y., Wang, Y., Chen, Y., & Qin, Q. (2020). Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures. In Journal of Medical Virology (Vol. 92, Issue 6, pp. 568-576). John Wiley and Sons Inc. https://doi.org/10.1002/jmv.25748Wickham, H. (2007). Reshaping Data with the {reshape} Package. Journal of Statistical Software, 21(12), 1-20. https://doi.org/10.18637/jss.v021.i12Wickham, H. (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. https://doi.org/10.18637/jss.v040.i01Wiersema, U. F. (2007). Noninvasive Respiratory Support. In Cardiothoracic Critical Care (pp. 410- 418). Elsevier Inc. https://doi.org/10.1016/B978-075067572-7.50031-XWinck, J. C., & Scala, R. (2021). Non-invasive respiratory support paths in hospitalized patients with COVID-19: proposal of an algorithm. 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The BMJ, 368. https://doi.org/10.1136/bmj.m606Zheng, Z., Peng, F., Xu, B., Zhao, J., Liu, H., Peng, J., Li, Q., Jiang, C., Zhou, Y., Liu, S., Ye, C., Zhang, P., Xing, Y., Guo, H., & Tang, W. (2020). Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis. In Journal of Infection (Vol. 81, Issue 2, pp. e16- e25). W.B. Saunders Ltd. https://doi.org/10.1016/j.jinf.2020.04.02

2001: The Crystal Monolith

In the famous movie “2001: A Space Odyssey”, Stanley Kubrick and Arthur Clarke claim that an extraterrestrial civilization catalyzed the evolution of hominids on our planet. To represent such a powerful civilization, they use a crystal. To date, it seems that we have not been contacted by advanced civilizations and that we are alone to manage our own future. Yet Kubrick and Clarke perhaps intuitively touched a truth about the power of crystals. An argument is developed here that genuine crystals, mainly quartz single crystals, were the earliest catalysts of the abstract thinking, symbolism, and consciousness

Synergism between the low-level jet and organized convection at its exit region

Previous studies suggest that the enhanced meridional extent of some South American low-level jet events (known as Chaco jets) is a consequence of a positive feedback between the low-level wind and strong convection that is usually observed at their exit region. To assess how this interaction takes place, a Chaco low-level jet event observed between 18 and 19 December 2002 (i.e., during the South America Low-Level Jet Experiment) and the associated mesoscale convective system that evolved at its exit region have been selected to perform numerical experiments where diabatic heating effects associated with phase changes can be quantified. This case study has also been used to analyze the diurnal oscillations related to planetary boundary layer (PBL) mechanisms in order to describe whether the observed evolution of the low-level wind can be explained either by PBL-related forcing or by the interaction with convection. The sensitivity experiments confirm that there is a positive feedback at low levels between convection and the northerly wind flow that becomes accelerated and also aids in the identification of a strong coupling between organized convection and the upper-level circulation, resulting in an increase of the upper-level jet strength downstream of the simulated precipitation area. A conceptual model of how these systems (i.e., convection, low- and upper-level jets) mutually interact is proposed, which differs from coupling mechanisms documented for the Great Plains low-level jet.Fil: Saulo, Andrea Celeste. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Ruiz, Juan Jose. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Garcia Skabar, Yanina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentin

Planificación, Desarrollo y Dirección de un Congreso Nacional de Cardiología para Estudiantes de Medicina. ¿Qué se puede aprender?

Some singularities of the medical degree program might alter the development of new training and teaching activities that involve the active participation of undergraduate students. As a result of the initial experience in conducting the first edition of a national congress for medical students in Francisco de Vitoria University (Madrid, Spain), the difficulties encountered during its planning and direction are detailed. The solutions adopted are presented with the aim of facilitating the organization of future similar events.Algunas de las singularidades que presenta el plan de formación del grado en Medicina podrían alterar los planes de desarrollo de nuevas actividades formativas y docentes que impliquen la participación activa de los alumnos de pregrado. Fruto de la experiencia inicial en el organización de la primera edición de un congreso nacional para estudiantes de Medicina en la Universidad Francisco de Vitoria (Madrid, España), se detallan algunas de las dificultades encontradas durante su planificación y dirección, exponiéndose las soluciones tomadas, en un intento de facilitar futuras nuevas convocatorias de eventos similares

¿Qué factores retributivos (directos o indirectos) te harían desear trabajar en una empresa?

La gestión del talento y la búsqueda propia, debe ir acompañado de una eficaz política empresarial, orientada a la conservación de los trabajadores destacados. El trabajo fue realizado en el Ayuntamiento de Alicante, en una población de 27 sujetos pertenecientes a cuatro departamentos distintos, seleccionados de forma aleatoria. Los datos se recogieron mediante encuesta, con diferentes variables, dividido en dos partes temáticas: una primera donde se reúnen las preguntas relacionadas con las variables y una segunda con datos sociodemográficos. Se pretende mostrar y analizar qué factores son más relevantes, de algunas retribuciones directas e indirectas en trabajadores del Ayuntamiento de Alicante (en adelante TBA) en su puesto de trabajo, y contrastar retribuciones similares con otros estudios, orden de importancia, etc.

Integration of a Canine Agent in a Wireless Sensor Network for Information Gathering in Search and Rescue Missions

Search and rescue operations in the context of emergency response to human or natural disasters have the major goal of finding potential victims in the shortest possible time. Multi-agent teams, which can include specialized human respondents, robots and canine units, complement the strengths and weaknesses of each agent, like all-terrain mobility or capability to locate human beings. However, efficient coordination of heterogeneous agents requires specific means to locate the agents, and to provide them with the information they require to complete their mission. The major contribution of this work is an application of Wireless Sensor Networks (WSN) to gather information from a multi-agent team and to make it available to the rest of the agents while keeping coverage. In particular, a canine agent has been equipped with a mobile node installed on a harness, providing information about the dog’s location as well as gas levels. The configuration of the mobile node allows for flexible arrangement of the system, being able to integrate static as well as mobile nodes. The gathered information is available at an external database, so that the rest of the agents and the control center can use it in real time. The proposed scheme has been tested in realistic scenarios during search and rescue exercises

New design parameters for biparabolic beach profiles (SW Cadiz, Spain)

165 profiles of seventy-one beaches along the Gulf of Cadiz (SW, Spain) were studied to improve the formulation of the beach profile in tidal seas. Maritime climate, degree of energy exposure and size of the sand grains were taken into account to study the two sections of the biparabolic profile. The objective of the study was the determination of more accurate formulations of the design parameters for the equilibrium profile that involves tidal seas. These formulations were modelled and validated based on existing profiles to quantify the error existing between the real profile and the modelling. This comparative analysis was extended by considering the formulations proposed by other authors. The best results were obtained with the proposal presented herein

CareFall: Automatic Fall Detection through Wearable Devices and AI Methods

The aging population has led to a growing number of falls in our society, affecting global public health worldwide. This paper presents CareFall, an automatic Fall Detection System (FDS) based on wearable devices and Artificial Intelligence (AI) methods. CareFall considers the accelerometer and gyroscope time signals extracted from a smartwatch. Two different approaches are used for feature extraction and classification: i) threshold-based, and ii) machine learning-based. Experimental results on two public databases show that the machine learning-based approach, which combines accelerometer and gyroscope information, outperforms the threshold-based approach in terms of accuracy, sensitivity, and specificity. This research contributes to the design of smart and user-friendly solutions to mitigate the negative consequences of falls among older people.Comment: 3 pages, 1 figure, 2 table