51 research outputs found

    TetSplat: Real-time Rendering and Volume Clipping of Large Unstructured Tetrahedral Meshes

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    We present a novel approach to interactive visualization and exploration of large unstructured tetrahedral meshes. These massive 3D meshes are used in mission-critical CFD and structural mechanics simulations, and typically sample multiple field values on several millions of unstructured grid points. Our method relies on the pre-processing of the tetrahedral mesh to partition it into non-convex boundaries and internal fragments that are subsequently encoded into compressed multi-resolution data representations. These compact hierarchical data structures are then adaptively rendered and probed in real-time on a commodity PC. Our point-based rendering algorithm, which is inspired by QSplat, employs a simple but highly efficient splatting technique that guarantees interactive frame-rates regardless of the size of the input mesh and the available rendering hardware. It furthermore allows for real-time probing of the volumetric data-set through constructive solid geometry operations as well as interactive editing of color transfer functions for an arbitrary number of field values. Thus, the presented visualization technique allows end-users for the first time to interactively render and explore very large unstructured tetrahedral meshes on relatively inexpensive hardware

    Interactive Extraction of High-Frequency Aesthetically-Coherent Colormaps

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    Color transfer functions (i.e. colormaps) exhibiting a high frequency luminosity component have proven to be useful in the visualization of data where feature detection or iso-contours recognition is essential. Having these colormaps also display a wide range of color and an aesthetically pleasing composition holds the potential to further aid image understanding and analysis. However producing such colormaps in an efficient manner with current colormap creation tools is difficult. We hereby demonstrate an interactive technique for extracting colormaps from artwork and pictures. We show how the rich and careful color design and dynamic luminance range of an existing image can be gracefully captured in a colormap and be utilized effectively in the exploration of complex datasets

    A Visual Stack Based Paradigm for Visualization Environments

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    We present a new visual paradigm for Visualization Systems, inspired by stack-based programming. Most current implementations of Visualization systems are based on directional graphs. However directional graphs as a visual representation of execution, though initially quite intuitive, quickly grow cumbersome and difficult to follow under complex examples. Our system presents the user with a simple and compact methodology of visually stacking actions directly on top of data objects as a way of creating filter scripts. We explore and address extensions to the basic paradigm to allow for: multiple data input or data output objects to and from execution action modules, execution thread jumps and loops, encapsulation, and overall execution control. We exploit the dynamic nature of current computer graphic interfaces by utilizing features such as drag-and-drop, color emphasis and object animation to indicate action, looping, message/parameter passing; to furnish an overall better understanding of the resulting laid out execution scripts

    The VolumePro Volume Rendering Cluster: A Vital Component of Parallel End-to-End Solution

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    As data sets, both acquired from scanners and those generated from complex simulations, grow in size and complexity, researchers continue to push the boundaries of the amount of data that can be viewed, processed and analyzed interactively. It soon becomes clear that today's algorithms and systems must be scaled through the use of parallelism in order to create viable and cost effective solutions. But for parallelism to be most effective, it must be conceived and designed for efficiency through-out every individual component of the processing and computational pipeline. In fact, a parallel architecture must be preserved throughout the whole process in order to avoid single pipeline bottlenecks

    Distinct 3D Glyphs with Data Layering for Highly Dense Multivariate Data Plots

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    A carefully constructed scatterplot can reveal plenty about an underlying data set. However, in most cases visually mining and understanding a large multivariate data set requires more finesse, and greater level of interactivity to really grasp the full spectrum of the information being presented. We present a paradigm for glyph design and use in the creation of single plots presenting multiple variables of information. We center our design on two key concepts. The first concept is that visually it is easier to discriminate between completely distinct shapes rather than subtly different ones, specially when partially occluded. The second one is that users ingest information in layers, i.e. in an order of visual relevance. Using this paradigm, we present complex data as binned into desired and relevant discrete categories. We show results in the areas of high energy physics and security, displaying over 6 distinct data variables in each single plot, yielding a clear, highly readable, and effective visualization

    Factores de riesgo para depresión y ansiedad de internos privados de su libertad del centro de rehabilitación social Guaranda

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    BACKGROUND: Although Ecuador has a population of 24.722 prison inmates, representing an occupancy rate of 114% 1, the prevalence of depression and anxiety in this population and their risk factors has not been well studied locally. METHODS: We conducted a retrospective analysis of data to assess the relationship of risk factors (being Catholic, married, paternity situation, cause of admission, existence of sentencing, and confinement time) for depression and anxiety in the population deprived of their liberty. Depression and anxiety were assessed using the General Health Questionnaire Goldberg. Data collected from January to July 2011 through a survey, determining measures of association through the calculation of ORs and their respective confidence intervals and statistical Chi2 test for the variables involved were analyzed. Only those who signed informed consent were included. RESULTS: 99 patients (96 men, 3 women) where included, of which 85.8% scored at, or above 3 points on the Goldberg General Health Questionnaire which is a validated screening tool for depression and anxiety, 84.8% reported to be Catholics, 77.7% of men and 3.03% of women reported being parents, 70.7% reported having a sentence, 43.4% reported murder as the cause of incarceration, and 40.4% reported being imprisoned for more than six months. Being a father, being married, having a sentence > 10 years, and homicide as a cause for incarceration were not associated with an increased risk of developing depression and anxiety. The time of imprisonment OR 4.4 (95% CI 0.922-21.539; p value = 0.046), and being Catholic OR 46.6 (95% CI 4.8 - 444.73; p value = 0.0008) were related to an increased risk of developing depression and anxiety. CONCLUSIONS: There is a direct relationship between time in prison and being Catholic with increased risk of developing depression and anxiety in the population deprived of their liberty.ANTECEDENTES: A pesar de que Ecuador cuenta con una población carcelaria de 24.722 reclusos, lo cual representa una ocupación del 114%1, la prevalencia de depresión y ansiedad en esta población y sus respectivos factores de riesgo se ha estudiado poco localmente. MÉTODOS: Realizamos un análisis de datos retrospectivo para evaluar la relación de factores de riesgo (ser católico, estar casado, situación de paternidad, causa de ingreso, presencia de sentencia, tiempo de reclusión) para depresión y ansiedad en la población privada de su libertad. La depresión y ansiedad se evaluaron mediante el Cuestionario de Salud General de Goldberg. Se analizaron datos recolectados de Enero a Julio del 2011 mediante una encuesta, determinando medidas de asociación a través del cálculo de ORs, con sus respectivos intervalos de confianza, y de la prueba estadística Chi2 para las variables involucradas. Solamente aquellos que firmaron consentimiento informado fueron incluidos. RESULTADOS: Se incluyeron 99 pacientes (96 hombres, 3 mujeres), de los cuales el 85.8% obtuvo una puntuación igual o mayor a 3 puntos en el Cuestionario de Salud General de Goldberg lo cual es un indicador validado de depresión y ansiedad, 84.8% reportaron ser católicos, 77.7% hombres y 3.03% mujeres reportaron ser padres de familia, 70.7% reportaron tener sentencia, 43.4% refirieron haber ingresado por homicidio y 40.4% llevar más de 6 meses en reclusión. El hecho de ser padre, estar casado, tener una sentencia > 10 años y tener como causa de ingreso homicidio no se relacionó con un aumento en el riesgo de desarrollar depresión y ansiedad. El tiempo de reclusión OR 4.4 (IC 95% 0.922 - 21.539; valor p=0.046) y ser católico OR 46.6 (IC 95% 4.8 - 444.73; valor p=0.0008) se relacionó directamente con un mayor riesgo de desarrollar depresión y ansiedad. CONCLUSIONES: Existe una relacion directa entre el tiempo de reclusión y ser católico con el aumento en el riesgo de desarrollar depresión y ansiedad en la población privada de su libertad

    Scalable Interactive Volume Rendering Using Off-the-shelf Components

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    This paper describes an application of a second generation implementation of the Sepia architecture (Sepia-2) to interactive volu-metric visualization of large rectilinear scalar fields. By employingpipelined associative blending operators in a sort-last configuration a demonstration system with 8 rendering computers sustains 24 to 28 frames per second while interactively rendering large data volumes (1024x256x256 voxels, and 512x512x512 voxels). We believe interactive performance at these frame rates and data sizes is unprecedented. We also believe these results can be extended to other types of structured and unstructured grids and a variety of GL rendering techniques including surface rendering and shadow map-ping. We show how to extend our single-stage crossbar demonstration system to multi-stage networks in order to support much larger data sizes and higher image resolutions. This requires solving a dynamic mapping problem for a class of blending operators that includes Porter-Duff compositing operators

    Identification of Flame Edges from Multispecies Chemical Compositon Data

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    Flames are loosely defined as a coupled multiscalar manifold. The multiscalar fields represent the chemical composition of the flame. In turbulent flows, the topology of this field changes dynamically. Typical hydrocarbon flames involve up to hundred of chemical species. The study of this complex geometrical object is important from the mathematical and physical point of view. We performed a Direct Numerical Simulation of a turbulent methane-air flame in the regime where extinction holes are observed

    Auditoría Integral al Gobierno Autónomo Descentralizado Parroquial Rural de Dureno, del cantón Lago Agrio, provincia de Sucumbíos, período 2015

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    La Auditoría Integral al Gobierno Autónomo Descentralizado Parroquial Rural de Dureno del Cantón Lago Agrio, Provincia de Sucumbíos, período 2015, con el fin de conocer la razonabilidad y veracidad de la información financiera, la eficiencia, eficacia y economía en la gestión administrativa y el nivel de cumplimiento de la normativa y disposiciones legales de sus operaciones. Para ello se realizó una evaluación al sistema a través del método COSO I, con la cual se determinó el nivel de confianza y riesgo del control interno. Además, se utilizó la Auditoría financiera, de gestión y de cumplimiento, con lo cual se detectó las principales deficiencias o hallazgos que se da a conocer en el informe de auditoría con sus respectivas conclusiones y recomendaciones a fin de ejecutar acciones correctivas para que dichas falencias puedan ser contrarrestadas y mejorar la gestión administrativa, financiera y de cumplimiento de normas vigentes que permita una toma de decisiones oportunas y así cumplir con los objetivos de la entidad.The comprehensive audit applied to “Gobierno Autónomo Descentralizado Parroquial Rural Dureno” located in Lago Agrio County, Sucumbíos province in the year 2015, whit the purpose to know reasonableness and veracity of the financial information; besides the efficiency, effectiveness and economy in the administrative management and the level of compliance about regulations and legal provisions of its operations. It made and evaluation to the system through the COSO 1 method, which was useful to determine the level of confidence and risk of the internal control. In addition, it used the Financial, Management and Compliance Audit detecting the main deficiencies or findings that are disclosed in the audit report, whit their respective conclusions and recommendations to execute in order corrective actions for the mentioned shortcomings that can be counteracted and improve the administrative, financial and compliance management; according to existing standards to mike timely and relevant decisions for the fulfillment of objectives of the entity

    Seguridad del paciente critico durante el traslado intrahospitalario y prevención de eventos adversos en hospital de Guayaquil, 2022

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    El estudio se desarrolló con el objetivo determinar la relación entre la seguridad del paciente crítico y prevención de eventos adversos durante el traslado en un hospital de Guayaquil, 2022. El estudio fue de característica cuantitativa, aplicada y diseño no experimental, correlacional. Se aplicó un censo a 110 personal interno (médicos, licenciados en enfermería, personal adminsitrativo, personal auxiliar y personal técnico). Para la recolección de datos se aplicó la encuestas como técnica y dos cuestionarios, uno para cada variable; asimismo, para fines del estudio se determinó la evidencia de validez y confiabilidad; areciadas con las pruebas estadisticas, V de Aiken, Alfa de Cronbach y Omega Mc Donald. El análisis de datos se realizó mediante el Programa SPSS v26, utilizando el coeficiente de Correlación de Spearman. Se concluye que existe una correlación positiva moderada con un índice (Rho=524), con tamaño de efecto grande entre seguridad del paciente crítico y prevención de eventos adversos durante el traslado en un hospital de Guayaqui
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