Asymmetries of the Stokes V profiles observed by HINODE SOT/SP in the quiet Sun

We present the first classification of SOT/SP circular polarization measurements with the aim of highlighting exhaustively the whole variety of Stokes V shapes emerging from the quiet Sun. k-means is used to classify HINODE SOT/SP Stokes V profiles observed in the quiet Sun network and internetwork (IN). We analyze a 302 x 162 square arcsec field-of-view (FOV) which can be considered a complete sample of quiet Sun measurements performed at at the disk center with 0.32 arcsec angular resolution and 0.001 polarimetric sensitivity. Such a classification allows us to divide the whole dataset in classes, with each class represented by a cluster profile, i.e., the average of the profiles in the class. The set of 35 cluster profiles derived from the analysis completely characterizes SOT/SP quiet Sun measurements. The separation between network and IN profile shapes is evident - classes in the network are not present in the IN, and vice versa. Asymmetric profiles are approximatively 93 % of the total number of profiles. Among these, approximatively 34 % of the profiles are strongly asymmetric profiles, and they can be divided in three families: blue-lobe, red-lobe, and Q-like profiles. The blue-lobe profiles tend to be associated with upflows (granules), whereas the red-lobe and Q-like ones appear in downflows (intergranular lanes). Such profiles need to be interpreted considering model atmospheres different from a uniformly magnetized Milne-Eddington (ME) atmosphere, i.e., characterized by gradients and/or discontinuities in the magnetic field and velocity along the line-of-sight (LOS).Comment: 11 pages, 4 figures, accepted for publication in Astronomy and Astrophysic

Intervención farmacéutica sobre Resultados negativos asociados a la medicación de necesidad, inefectividad e inseguridad del tratamiento en un paciente polimedicado incluido en el del programa conSIGUE-Implantación.

(* Caso procedente del Proyecto conSIGUE IMPLANTACIÓN, Servicio de Seguimiento Farmacoterapéutico a pacientes mayores polimedicados en la farmacia comunitaria, impulsado por el Consejo General de Colegios Oficiales de Farmacéuticos y el Grupo de Investigación de Atención Farmacéutica de la Universidad de Granada, y con la colaboración de laboratorios Cinfa

Intervención sobre Incumplimiento y conciliación de paciente polimedicado

Paciente de 80 años usuaria de la Farmacia, que acude en Julio de 2014 a retirar su medicación, y durante el proceso del Servicio de Dispensación manifiesta preocupación por edema en miembros inferiores, sangrado gingival e Hipertensión Arterial (HTA). Tras hablar con la paciente sobre sus antecedentes se le ofrece el Servicio de Seguimiento Farmacoterapéutico (SFT) y acepta

A Discussion on Fall Detection Issues and Its Deployment: When cloud meets battery

IEEE International Conference on Cloud Computing and Big Data Analysis (3rd. 2018., Chengdu, China

Intervención sobre Incumplimiento y conciliación de paciente polimedicado

Paciente de 80 años usuaria de la Farmacia, que acude en Julio de 2014 a retirar su medicación, y durante el proceso del Servicio de Dispensación manifiesta preocupación por edema en miembros inferiores, sangrado gingival e Hipertensión Arterial (HTA). Tras hablar con la paciente sobre sus antecedentes se le ofrece el Servicio de Seguimiento Farmacoterapéutico (SFT) y acepta

Intervención farmacéutica sobre Resultados negativos asociados a la medicación de necesidad, inefectividad e inseguridad del tratamiento en un paciente polimedicado incluido en el del programa conSIGUE-Implantación.

(* Caso procedente del Proyecto conSIGUE IMPLANTACIÓN, Servicio de Seguimiento Farmacoterapéutico a pacientes mayores polimedicados en la farmacia comunitaria, impulsado por el Consejo General de Colegios Oficiales de Farmacéuticos y el Grupo de Investigación de Atención Farmacéutica de la Universidad de Granada, y con la colaboración de laboratorios Cinfa

A fast numerical model to calculate the thermal performance of a heat exchanger with rectangular PCM storage

Paper presented to the 10th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Florida, 14-16 July 2014.The use of phase change materials (PCM) in heat exchangers for energy storage and release is under research. CFD modelling is extremely expensive regarding computational resources and time. For example, a PCM heat exchanger that would be used in a domestic heating system could reach a size of 0.8×0.6×0.6 m3, which is a lot to apply CFD commercial software. Nowadays, there is also a lack of knowledge about the thermal performance of these systems during the loading and unloading processes. Besides, many phase change substances can be used. This work presents an analysis of the thermal performance of a paraffin that would be used in a PCM heat exchanger of a heating system, being the operating temperatures of the heating fluid around 80 ºC at the supply and 30 ºC at the return. A fast model has been developed. This model takes into account the results of a CFD commercial model, but the knowledge of this model was summarized into useful polynomial equations. These equations, coupled with finite volume equations for the aluminium covering of the PCM and for the heating fluid, were implemented in a Matlab R2012a program and applied to a module consisting of two parallel flat plates separated by 30 mm thickness of PCM, which would be used in a heat exchanger. Two different spatial positions of the module, horizontal and vertical, and two phase change processes, melting and solidification, were studied. The horizontal position is faster than the vertical one, the melting time being nearly twice with respect to the vertical position. The results of the fast model were compared satisfactorily with the results of a full CFD model solved in Ansys Fluent 14.5. For the same boundary conditions in both models, the computational time diminishes from several weeks to few days.cf201

Handling missing values in trait data

Aim: Trait data are widely used in ecological and evolutionary phylogenetic comparative studies, but often values are not available for all species of interest. Traditionally, researchers have excluded species without data from analyses, but estimation of missing values using imputation has been proposed as a better approach. However, imputation methods have largely been designed for randomly missing data, whereas trait data are often not missing at random (e.g., more data for bigger species). Here, we evaluate the performance of approaches for handling missing values when considering biased datasets. Location: Any. Time period: Any. Major taxa studied: Any. Methods: We simulated continuous traits and separate response variables to test the performance of nine imputation methods and complete-case analysis (excluding missing values from the dataset) under biased missing data scenarios. We characterized performance by estimating the error in imputed trait values (deviation from the true value) and inferred trait–response relationships (deviation from the true relationship between a trait and response). Results: Generally, Rphylopars imputation produced the most accurate estimate of missing values and best preserved the response–trait slope. However, estimates of missing data were still inaccurate, even with only 5% of values missing. Under severe biases, errors were high with every approach. Imputation was not always the best option, with complete-case analysis frequently outperforming Mice imputation and, to a lesser degree, BHPMF imputation. Mice, a popular approach, performed poorly when the response variable was excluded from the imputation model. Main conclusions: Imputation can handle missing data effectively in some conditions but is not always the best solution. None of the methods we tested could deal effectively with severe biases, which can be common in trait datasets. We recommend rigorous data checking for biases before and after imputation and propose variables that can assist researchers working with incomplete datasets to detect data biases and minimize errors.Fil: Johnson, Thomas F.. University of Reading; Reino UnidoFil: Isaac, Nick J. B.. Centre For Ecology And Hydrology; Reino UnidoFil: Paviolo, Agustin Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina. Centro de Investigaciones del Bosque Atlántico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: González Suárez, Manuela. University of Reading; Reino Unid