Nursing care for central venous catheter obstruction

Un catéter venoso central deja de funcionar de forma adecuada cuando es imposible o dificultoso infundir sueroterapia o nutrición enteral por alguna luz y/o cuando existe dificultad o imposibilidad de que refluya la sangre. Antes de la retirada del catéter se debe intentar solucionar el problema y recuperar la funcionalidad normal del catéter. Las complicaciones mecánicas de los accesos venosos centrales son frecuentes y en ocasiones pueden comprometer la vida del paciente.A central venous catheter stops working properly when it is impossible or difficult to infuse enteral therapy or nutrition by some light and / or when there is difficulty or impossibility of the blood to flow back. Before withdrawal of the catheter, an attempt should be made to solve the problem and recover the normal functionality of the catheter. The mechanical complications of central venous access are frequent and can sometimes compromise the patient's life

Realización de episodio piloto para webserie

The following TFG paper describes the making of an audiovisual production, a pilot episode made to be distribuited as a webseries. All the processes about its making will be explained. Starting with preproduction stage, passing through production and reaching postproduction. There will be found the theoretical foundings, the references and motivations that made possible the construction of themjes, script and structure of the tale, as well as the decisions about form of the narrative and, specially, the representation ways chosen to achieve the production.El siguiente TFG trata sobre la realización de un producto audiovisual, concretamente un episodio piloto pensado para ser distribuido en formato webserie. Se explicarán todos los procesos necesarios para su realización. Empezando por la preproducción, pasando por la producción y finalizando con la postproducción. Se desarrollarán las bases teóricas, los referentes y las motivaciones que han servido para conformar el tema, guión y estructura del relato, así como las decisiones formales en cuanto a discurso y, especialmente, los sistemas de representación fílmicos escogidos para abordar esta producción.Marin Garcia, A. (2014). Realización de episodio piloto para webserie. http://hdl.handle.net/10251/50092.Archivo delegad

Seguridad ciudadana y el desempeño laboral del personal de serenazgo de la municipalidad de Pueblo Libre, 2021

El objetivo general del presente estudio es determinar la relación de la seguridad ciudadana con el desempeño laboral del personal de serenazgo de la Municipalidad de Pueblo Libre, 2021, y como hipótesis: La seguridad ciudadana se relaciona de manera significativa con el desempeño laboral del personal de serenazgo de la Municipalidad de Pueblo Libre 2021. La metodología utilizada comprende un tipo de estudio básico, de enfoque cuantitativo, diseño no experimental de corte transversal y nivel correlacional. Conformaron la población 266 personas quienes laboran en el Área de Seguridad Ciudadana de la Municipalidad Distrital de Pueblo Libre. Asimismo, la muestra resultante fueron 213 personas, deducida con un muestreo de tipo probabilístico de tipo aleatorio simple. Como técnica se utilizó la encuesta, y para medir las variables se utilizó como instrumento se utilizaron dos cuestionarios con escala de Likert. Los resultados determinaron que existe una correlación positiva, estadísticamente significativa (rs= ,389; p<0,05), a través del cual se pudo concluir que la seguridad ciudadana guarda relación significativa con el desempeño laboral del personal de serenazgo

El sentido de responsabilidad que subyace al ejercicio profesional de los egresados de las universidades tolimenses

Durante el ejercicio profesional los hombres y mujeres que han tenido el privilegio de optar por un título profesional tienen la oportunidad de ejercer, además de los potenciales propios de su disciplina, el conjunto de competencias ciudadanas que han constituido durante su proceso formativo. Dentro de esas competencias debería aparecer La Responsabilidad como resultado de la intensión formativa en el ámbito de la ciudadanía que pretenden ofrecer las universidades, y que se encuentra regularmente planteado en el currículo universitario. El sentido que esta responsabilidad adquiere para el profesional resulta ser un indicador importante para dar inicio a un análisis de los conflictos sociales que observamos en la vida cotidiana de nuestro país

Ethics and Aesthetics for Enhancing Design and Transforming Social Reality

Design is preponderant in the world economy; it allows competition and enhances the development of innovations in the market. The expansion of product offerings provides options to satisfy the user’s needs, which is an undeniable advance driven by design. However, this has led to a significant increase in the production of solid waste related to design, which generates environmental deterioration. Additionally, the supply of design products has been concentrated in the most economically favored sector, leaving out a large part of the world’s population which are not met because they are not a market of interest for the productive industry in general. The content of this paper is the result of a collective debate from the authors, based on the analysis of documentary sources and their own experience as academics. Our objective is to encourage discussion for the creation of a common front oriented towards a design practice focused simultaneously on social development and environmental care; a design practice based on ethics and commitment to the environment and society

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 &amp; 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). Clinical characteristics of patients hospitalized with COVID-19 in Spain: Results from the SEMI-COVID-19 Registry. Revista Clinica Espanola, 220(8), 480-494. https://doi.org/10.1016/j.rce.2020.07.003Castelnuovo, F., Marchese, V., Cristini, G., Crosato, V., Pennati, F., Renisi, G., Izzo, I., Paraninfo, G., Van Hauwermeiren, E., & Castelli, F. (2020). Discharge ward during the sars-cov-2 pandemic: An effective way to increase patient turnover when human resources are scarce. Infezioni in Medicina, 28(4), 539-544. https://doi.org/10.1007/s15010-020-01522-4Celeux, G., Lavergne, C., Vernaz, Y., Celeux, G., Lavergne, C., Vernaz, Y., Material, A., & Censored, D. (2006). Assessing Material Aging from Doubly Censored Data : Weibull Distribution vs . Poisson Process To cite this version : HAL Id : inria-00072799 Assessing material aging from doubly censored data : Weibull distribution vs . Poisson process apport. [Research Report] RR-3857, INRIA. 2000. inria-00072799.Claudio, D., Cosgriff, V., Nino, V., & Valladares, L. (2021). An Agile Standardized Work Procedure for Cleaning the Operating Room. Journal of Industrial Engineering and Management, 14, in press. https://doi.org/https://doi.org/jiem.3440CNE -Centro Nacional de Epidemiología. (2020). Información científico-técnica, enfermedad por coronavirus, COVID-19 (actualizado 20201112).Comtois, D. (2021). summarytools: Tools to Quickly and Neatly Summarize Data.Corbin, J. M., & Strauss, A. L. (1988). Unending Work and Care: Managing Chronic Illness at Home. Jossey-Bass Inc.Daniel, P., Mecklenburg, M., Massiah, C., Joseph, M. A., Wilson, C., Parmar, P., Rosengarten, S., Maini, R., Kim, J., Oomen, A., & Zehtabchi, S. (2021). Non-invasive positive pressure ventilation versus endotracheal intubation in treatment of COVID-19 patients requiring ventilatory support. 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. Pulmonology. https://doi.org/10.1016/j.pulmoe.2020.12.005Wong, G. N., Weiner, Z. J., Tkachenko, A. V., Elbanna, A., Maslov, S., & Goldenfeld, N. (2020). Modeling COVID-19 dynamics in Illinois under non-pharmaceutical interventions. In medRxiv. https://doi.org/10.1101/2020.06.03.20120691Wu, H., Godfrey, A. J. R., Govindaraju, K., & Pirikahu, S. (2020). ExtDist: Extending the Range of Functions for Probability Distributions.Xia, W., & Sun, J. (2013). Simulation guided value stream mapping and lean improvement: A case study of a tubular machining facility. Journal of Industrial Engineering and Management, 6(2), 456-476. https://doi.org/10.3926/jiem.532Xu, X. W., Wu, X. X., Jiang, X. G., Xu, K. J., Ying, L. J., Ma, C. L., Li, S. B., Wang, H. Y., Zhang, S., Gao, H. N., Sheng, J. F., Cai, H. L., Qiu, Y. Q., & Li, L. J. (2020). Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: Retrospective case series. 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

Learning contract, co-operative and flipped learning as useful tools for studying metabolism

Es el Abstract de una comunicación a un congreso internacional sobre educaciónUndergraduate students in Biology identify Metabolic Biochemistry as a particularly difficult subject. This is due to the fact that students need to interconnect properly all the contents of its syllabus throughout their study of the subject in order to get a global insight of the complex regulatory features controlling metabolic pathways within the metabolic network under different physiologic and pathologic conditions, as well as metabolism as a whole. Due to these objective difficulties, a high percentage of our students face the study of this subject as a very hard task beyond their forces and capacities. This perception leads to high rates of premature dropout. In previous years, less than 40% of all the registered students attended the examinations of Metabolic Biochemistry (a subject in the second year of the Degree of Biology at our University). Even worse, less than 25% of our students passed the exams. From the academic year 2015/16 on, we are developing innovative teaching projects (PIE15-163 and PIE17-145, funded by University of Malaga) aimed to increase our student loyalty to the subject (and hence to increase their attendance to exams) and to help them to learn more effectively metabolism and its regulation. These innovative teaching projects are based on the use of several powerful tools: a learning contract and problem-based learning within the framework of group tasks promoting an actual collaborative learning in a flipped classroom. The present communication will show the implementation of the PIE15-163 and PIE17-145 projects and some results obtained from them.This work was supported by Malaga University funds granted to the educational innovation project PIE17-145. The attendance to the END2018 International Conference on Education and New Developments (June 2018, Budapest, Hungary) has received a grant from "I Plan Propio Integral de Docencia. Universidad de Málaga"]

Molecular gas in the immediate vicinity of Sgr A* seen with ALMA

We report serendipitous detections of line emission with ALMA in band 3, 6, and 7 in the central parsec of the Galactic center at an up to now highest resolution (<0.7''). Among the highlights are the very first and highly resolved images of sub-mm molecular emission of CS, H13CO+, HC3N, SiO, SO, C2H, and CH3OH in the immediate vicinity (~1'' in projection) of Sgr A* and in the circumnuclear disk (CND). The central association (CA) of molecular clouds shows three times higher CS/X (X: any other observed molecule) luminosity ratios than the CND suggesting a combination of higher excitation - by a temperature gradient and/or IR-pumping - and abundance enhancement due to UV- and/or X-ray emission. We conclude that the CA is closer to the center than the CND is and could be an infalling clump consisting of denser cloud cores embedded in diffuse gas. Moreover, we identified further regions in and outside the CND that are ideally suited for future studies in the scope of hot/cold core and extreme PDR/XDR chemistry and consequent star formation in the central few parsecs

Predicción de la demanda de un producto con redes neuronales

La obtención de un pronóstico acertado que brinde información relevante del comportamiento del mercado y de la demanda de un producto, siempre ha sido fundamental para las empresas. Por ello se han realizado diversos esfuerzos en la creación de metodologías para predecir con un alto grado de exactitud el comportamiento de un negocio. Usualmente, los modelos estadísticos de predicción lineales y de estadística descriptiva han sido los más utilizados por su sencillez y fácil interpretación.En este trabajo se realizó un modelo de redes neuronales recurrentes LSTM para predecir las unidades facturadas de una determinada referencia, alcanzando niveles de error bajo, lo que confirma la confiablidad de la herramienta para pronóstico de demandaObtaining an accurate forecast that provides relevant information on the behavior of the market and the demand for a product, has always been fundamental for the companies. Therefore, various efforts have been made to create methodologies to predict with a high degree of accuracy the behavior of a business. Usually, statistical models of linear prediction and statistical descriptive have been the most used for its simplicity and easy interpretation. In this work a model of recurrent neural networks LSTM was carried out to predict the units invoiced for a certain reference, reaching low error levels, which confirms the reliability of the demand forecasting too