86 research outputs found

    Introduciendo el recurso del reloj de sol en Educación Infantil

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    En este trabajo se pretende demostrar que trabajar el reloj de sol como recurso educativo en la etapa de Educación Infantil es una práctica innovadora. En primer lugar se llevará a cabo una búsqueda exhaustiva mediante buscadores académicos, para recoger información existente sobre nuestro tema de innovación en el aula. Por otro lado, se reflejarán los diversos motivos que justificaran que dicho recurso educativo es innovador en base a sus antecedentes. En segundo lugar, se desarrollarán varias actividades para llevar a cabo este proyecto sobre el reloj solar, las cuales incluyen aspectos como la metodología, los materiales, la organización del aula, etc. Para terminar, se expondrán los resultados y las conclusiones obtenidas después de la puesta en práctica de este recurso.This work to demonstrate that working the solar clock as an educational resource in the Early Childhood Education stage is an innovative practice. In the first place, an exhaustive search will be carried out by academic search engines to collect existing information about our subject of innovation in the classroom. On the other hand, the diverse reasons that would justify that said educational resource is innovative based on its antecedents will be reflected. Secondly, several activities will be developed to carry out this project on the solar clock which include aspects such as methodology, materials, classroom organization, etc. Finally, the results and conclusions obtained after the implementation of this resource will be presented

    Impact of air pollution and climate on a pediatric emergency department visits in Buenos Aires City

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    Objective: to evaluate the impact of air pollution and weather changes on the number of visits to a pediatric emergency department in Buenos Aires, Argentina. Materials and methods: we designed an ecological time-series study using generalized additive models (GAM) for the period 2012-2014. The outcome variable was the number of daily visits to a pediatric emergency department taking into account daily consultations. The potential predictors were the average daily air pollution levels (carbon monoxide -CO-, nitrogen dioxide -NO2-, particulate matter 10 microns or less in diameter -PM10-) and weather variables (temperature, humidity, wind speed and direction, and rainfall) and we controlled by weekday and long-time trend. Results: the number of visits during the winter months (286 daily) was significantly higher than those in the other seasons (p &lt;0.0001). The change in air pollution levels did not show a significant and consistent correlation with the visits. Temperature, relative humidity, rainfall, and wind speed and direction were not significant variables for any of the examined lags. Conclusions: Considering the population and variables of our study, air pollution does not affect the health outcomes, as does seasonal epidemics. Studies that examine other health variables are necessary to establish the impact of air pollution on children’s health in Buenos Aires.</p

    Further Remarks on Irrational Systems and Their Applications †

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    Irrational Systems (ISs) are transfer functions that include terms with irrational exponents. Since such systems are ubiquitous and can be seen when solving partial differential equations, fractional-order differential equations, or non-linear differential equations; their nature seems to be strongly linked with a low-order description of distributed parameter systems. This makes ISs an appealing option for model-reduction applications and controls. In this work, we review some of the fundamental concepts behind a set of ISs that are of core importance in their stability analysis and control design. Specifically, we introduce the notion of multivalued functions, branch points, time response, and stability regions, as well as some practical applications where these systems can be encountered. The theory is accompanied by some numerical examples or simulations

    In Vitro and In Vivo Validation of EP2-Receptor Agonism to Selectively Achieve Inhibition of Mast Cell Activity

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    Agonism of the prostaglandin E2 receptor, E-prostanoid receptor 2 (EP2), may represent an alternative protective mechanism in mast cell (MC)-mediated diseases. Previous studies have suggested that activation of the MC EP2 receptor prevents pathological changes in the murine models of allergic asthma. This work aimed to analytically validate the EP2 receptor on MCs as a therapeutic target. Murine MC lines and primary cultures, and MCs bearing the human immunoglobulin E (IgE) receptor were subjected to IgE-mediated activation subsequent to incubation with selective EP2 agonists. Two molecularly unrelated agonists, butaprost and CP-533536, were tested either in vitro or in 2 in vivo models of allergy. The diverse range of MC populations was consistently inhibited through selective EP2 agonism in spite of exhibiting a heterogeneous phenotype. Such inhibition occurred in both mouse and human IgE (hIgE)-mediated activation. The use of molecularly unrelated selective EP2 agonists allowed for the confirmation of the specificity of this protective mechanism. This effect was further demonstrated in 2 in vivo murine models of allergy where MCs are a key to pathological changes: cutaneous anaphylaxis in a transgenic mouse model expressing the hIgE receptor and aeroallergen-induced murine model of asthma. Selective EP2 agonism is a powerful pharmacological strategy to prevent MCs from being activated through IgE-mediated mechanisms and from causing deleterious effects. The MC EP2 receptor may be an effective pharmacological target in allergic and other MC-mediated conditions

    Algoritmos de optimización basados en capacidad y cobertura de redes inalámbricas para la infraestructura de medición avanzada de energía eléctrica

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    The advanced metering infrastructure AMI increasingly takes strength and domain in the world of smart grids, offering numerous applications in different fields: to save human lives, public and private property, to provide an automated environment and comfort for users such networks, etcetera. In this context, smart metering has a major role, and the optimal sizing of a network for it even more, so this paper presents a detailed degree of analysis optimization methods regarding how to group items and It proposes a comparison clustering algorithms in order to determine the most efficient algorithm to cover the capacity of link with smart meters - characteristic of each AP (Access Point) - and coverage - characteristic of each communication standard-, for a smart meters network based on wireless communication standard WiFi. As a result of this analysis it is to obtain the characteristics of each method analyzed under the same conditions both coverage and capacity expressed through graphics and establish the respective conclusions. That is why this research will focus on defining, modeling and simulation methods using K-means clustering, K-medoids and ILP (Integer Linear Programming) expressed as mathematical algorithms in a (500) smart meters network in an Urban residential area which we will call users, considering each method restrictions and objective functions of the network, ensuring a coverage rate of 100% of users located in clusters (groups) and thus providing an optimal solution in terms of time, fewer groups, and equitable distribution of smart meters in the different groups.La infraestructura de medición avanzada AMI toma cada vez con mayor fuerza, dominio en el mundo de las redes inteligentes, brindando numerosas aplicaciones en diferentes campos: para salvar vidas humanas, propiedad pública y privada, para ofrecer un ambiente automatizado y de confort para los usuarios de dichas redes, entre otras. En este ámbito, la medición inteligente tiene un rol trascendental, y el dimensionamiento óptimo de una red para la misma aún más, por lo que el presente trabajo de titulación presenta un análisis detallado sobre métodos de optimización en cuanto a la forma de agrupar ítems y propone una comparación entre algoritmos de agrupación con el fin de determinar el método más eficiente para cubrir tanto en capacidad de enlazar medidores inteligentes - característica propia de cada AP (Access Point)- como en la cobertura - característica propia de cada estándar de comunicación, para una red de medidores inteligentes planteada basada en el estándar de comunicación Wifi. Como consecuencia de este análisis se pretende obtener las características de cada método analizados en las mismas condiciones tanto de cobertura como de capacidad expresadas mediante gráficas y establecer las conclusiones respectivas. Es por esto que esta investigación se centrará en definir, modelar y simular mediante los métodos de agrupación k-means, k-medoids e ILP (Programación Lineal Entera por sus siglas en inglés) expresados como algoritmos matemáticos en una red de quinientos (500) medidores inteligentes en un área residencial urbana a los cuales denominaremos usuarios, teniendo presente para cada método las restricciones y funciones objetivo de dicha red, garantizando un índice de cobertura del 100% de usuarios ubicados en los clústeres (agrupaciones) y de esta manera brindando una solución óptima en cuanto a tiempo, menor número de agrupaciones, y distribución equitativa de medidores en los diferentes grupos

    SPOT and GPRS drifting buoys for HF Radar calibration

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    Traditional drifting buoys have been designed to measure the surface currents at a nominal depth of 15m with drogues of 6m height. Herein, in order to assess the performance of HF Radars two designs of Lagrangian drifting buoys have been developed and targeted to provide the vertically averaged velocity of the currents in the frst 2 and 0.5 meters of the water column. These are the layer heights of the HF Radars of RAIA observatory. The buoys were made with standard materials and of-the-shelf electronics, to keep costs as low as possible.Peer Reviewe

    Model type II regression for lagrangian validation of HF radar velocities in the NW Iberian Peninsula

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    Two designs of lagrangian low-cost drifting buoys have been developed in order to monitor the ocean surface dynamics in the North-west Iberian Peninsula and provide ground-truth observations that can be used to assess the performance of High Frequency (HF) Radars of RAIA observatory from 2020 to 2022. Since regression model type I, which is typically used in buoy-HF radar antennas validations, does not consider the presence of errors in the observations from both instruments, regression model type II was proposed to instrument intercomparison. Furthermore, a new metric was developed to better assess both model types regressions in lagrangian validations.Peer Reviewe

    SPOT and GPRS drifting buoys for HF Radar calibration

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    9th International Workshop on Marine Technology (MARTECH), virtual, 16-18 June 2021Traditional drifting buoys have been designed to measure the surface currents at a nominal depth of 15m with drogues of 6m height. Herein, in order to assess the performance of HF Radars two designs of Lagrangian drifting buoys have been developed and targeted to provide the vertically averaged velocity of the currents in the frst 2 and 0.5 meters of the water column. These are the layer heights of the HF Radars of RAIA observatory. The buoys were made with standard materials and of-the-shelf electronics, to keep costs as low as possibleN

    Model type II regression for lagrangian validation of HF Radar velocities in the NW Iberian Peninsula

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    2 pages, 1 figure.-- MARTECH23, 10th Marine International Workshop on Marine Technology, 19-20 de Junio de 2023, Castellón de la PlanaTwo designs of lagrangian low-cost drifting buoys have been developed in order to monitor the ocean surface dynamics in the North-west Iberian Peninsula and provide ground-truth observations that can be used to assess the performance of High Frequency (HF) Radars of RAIA observatory from 2020 to 2022. Since regression model type I, which is typically used in buoy-HF radar antennas validations, does not consider the presence of errors in the observations from both instruments, regression model type II was proposed to instrument intercomparison. Furthermore, a new metric was developed to better assess both model types regressions in lagrangian validationsThe authors also would like to thank the support from projects RADAR ON RAIA (0461_RADAR ON RAIA_1_E, co- funded by the European Union through EP-INTERREG V-A España-Portugal POCTEP program) and STRAUSS (PID2019-106008RB-C21) funded by MCIN/AEI/10.13039/501100011033N
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