Meteotek08: sonda meteorològica

Treball de recerca realitzat per un alumne d'ensenyament secundari i guardonat amb un Premi CIRIT per fomentar l'esperit cientí­fic del Jovent l'any 2009. El projecte Meteotek08, s'inicia durant el mes de febrer del curs 07/08 i es deu a tres fets: la passió per l'electrònica i la informàtica, per la meteorologia i per l'espai. Així va sorgir la idea de la possibilitat de realitzar algun projecte que relacionés aquestes idees: una sonda meteorològica, capaç d'assolir altituds de més de 30.000m, fer un registre de les condicions atmosfèriques i, fins i tot, captar fotografies. Era una idea complexa de dur a terme, ja que es partia del res, excepte de l'experiència d'algun dels integrants en el camp de l'electrònica i la informàtica. Durant els primers mesos es van començar a crear els primers prototips i a aplicar les primeres idees, fins que malauradament el crèdit es va acabar el juny. Tot i això, el treball va continuar durant l'estiu, durant el qual es va deixar el projecte gairebé enllestit. Diversos problemes amb el mòdul de comunicacions via ràdio van comportar l'endarreriment del projecte fins el passat febrer de 2009. El llançament es va dur a terme el dia 28 de febrer. La població escollida va ser Bujaraloz, situada als Monegros, degut a la seva bona posició geogràfica. El llançament es va dur a terme amb èxit i el seguiment i recepció de dades es va fer amb 2 cotxes. Al cap de 2 hores i 10 minuts la sonda tocava terra de nou, i poca estona després era localitzada. Els resultats van ser totalment satisfactoris, i es van obtenir també bones fotografies.

Gaussian estimates for the density of the non-linear stochastic heat equation in any space dimension

In this paper, we establish lower and upper Gaussian bounds for the probability density of the mild solution to the stochastic heat equation with multiplicative noise and in any space dimension. The driving perturbation is a Gaussian noise which is white in time with some spatially homogeneous covariance. These estimates are obtained using tools of the Malliavin calculus. The most challenging part is the lower bound, which is obtained by adapting a general method developed by Kohatsu-Higa to the underlying spatially homogeneous Gaussian setting. Both lower and upper estimates have the same form: a Gaussian density with a variance which is equal to that of the mild solution of the corresponding linear equation with additive noise.

Linear Aggregation In The Social Accounting Matrix Framework

In economic literature, information deficiencies and computational complexities have traditionally been solved through the aggregation of agents and institutions. In inputoutput modelling, researchers have been interested in the aggregation problem since the beginning of 1950s. Extending the conventional input-output aggregation approach to the social accounting matrix (SAM) models may help to identify the effects caused by the information problems and data deficiencies that usually appear in the SAM framework. This paper develops the theory of aggregation and applies it to the social accounting matrix model of multipliers. First, we define the concept of linear aggregation in a SAM database context. Second, we define the aggregated partitioned matrices of multipliers which are characteristic of the SAM approach. Third, we extend the analysis to other related concepts, such as aggregation bias and consistency in aggregation. Finally, we provide an illustrative example that shows the effects of aggregating a social accounting matrix model.

A linear optimization technique for graph pebbling

Graph pebbling is a network model for studying whether or not a given supply of discrete pebbles can satisfy a given demand via pebbling moves. A pebbling move across an edge of a graph takes two pebbles from one endpoint and places one pebble at the other endpoint; the other pebble is lost in transit as a toll. It has been shown that deciding whether a supply can meet a demand on a graph is NP-complete. The pebbling number of a graph is the smallest t such that every supply of t pebbles can satisfy every demand of one pebble. Deciding if the pebbling number is at most k is NP 2 -complete. In this paper we develop a tool, called theWeight Function Lemma, for computing upper bounds and sometimes exact values for pebbling numbers with the assistance of linear optimization. With this tool we are able to calculate the pebbling numbers of much larger graphs than in previous algorithms, and much more quickly as well. We also obtain results for many families of graphs, in many cases by hand, with much simpler and remarkably shorter proofs than given in previously existing arguments (certificates typically of size at most the number of vertices times the maximum degree), especially for highly symmetric graphs. Here we apply theWeight Function Lemma to several specific graphs, including the Petersen, Lemke, 4th weak Bruhat, Lemke squared, and two random graphs, as well as to a number of infinite families of graphs, such as trees, cycles, graph powers of cycles, cubes, and some generalized Petersen and Coxeter graphs. This partly answers a question of Pachter, et al., by computing the pebbling exponent of cycles to within an asymptotically small range. It is conceivable that this method yields an approximation algorithm for graph pebbling.

Relaxation methods for solving linear inequality systems: Converging results

The problem of finding a feasible solution to a linear inequality system arises in numerous contexts. In [12] an algorithm, called extended relaxation method, that solves the feasibility problem, has been proposed by the authors. Convergence of the algorithm has been proven. In this paper, we onsider a class of extended relaxation methods depending on a parameter and prove their convergence. Numerical experiments have been provided, as well.

Gérard Grisey : la cuantificación temporal deducida de los procesos perceptivos

En el presente trabajo, tratamos diferentes perspectivas sobre la poética, estrategias compositivas y repercusión perceptiva del tiempo en la música de Gérard Grisey. En el primer capítulo, abordamos la concepción del tiempo como unidad y proporcionalidad duracional y su relación con otros parámetros musicales. A continuación, presentamos tres enfoques sobre el tiempo que emergen de la poética de Grisey y del análisis de sus obras: la ruptura con la proporcionalidad duracional y la relación entre tiempo y sonido, el concepto de cambio de escala temporal y la analogía entre tiempo y cosmos. En el segundo capítulo, proponemos tres categorías temporales basadas principalmente en el concepto de previsibilidad: tiempo no lineal, tiempo lineal y tiempo procesual. En el tercer y último capítulo, exponemos los fundamentos de la Teoría de la Información, su relación con el discurso de Grisey y su método de aplicación.

La participación social como método de conservación. Estudio de caso en el área de conservación arenal Huetar norte de Costa Rica

El presente estudio se realiza con la intención de contribuir a establecer las bases para una buena gestión del territorio en el Área de conservación arenal Huetar norte de Costa Rica mediante la participación social; garantizando la conservación del capital natural y el desarrollo económico, social y ambientalmente sostenible. Para ello, se ha colaborado en la formación del Consejo Local del Corredor Biológico Ruta Los Malécu-Medio Queso (CL CBRLM-MQ) y del Refugio Nacional de Vida Silvestre Caño Negro (RNVSCN), formado por una coalición social que tendrá el objetivo de gestionar su propio territorio. Con la intención de capacitar a los integrantes de este consejo, y a los pobladores de la Zona Norte de Costa Rica en general, y orientarlos hacia la buena gestión de los recursos naturales, se ha realizado un análisis detallado sobre su percepción sobre los Servicios Ecosistémicos de la región. El resultado de este proyecto, es un manual de educación y comunicación ambiental sobre los servicios ecosistémicos de la Zona Norte para el educador/a. Con este manual se pretende capacitar a los pobladores sobre el valor de los SE, todo con la finalidad de promover cambios de actitudes y de conductas que fomenten una relación respetuosa con la naturaleza para alcanzar el desarrollo sostenible de la región y de esta manera mejorar la calidad de vida de los habitantes de esta zona.

A subspace correction method for discontinuous Galerkin discretizations of linear elasticity equations

We study preconditioning techniques for discontinuous Galerkin discretizations of isotropic linear elasticity problems in primal (displacement) formulation. We propose subspace correction methods based on a splitting of the vector valued piecewise linear discontinuous finite element space, that are optimal with respect to the mesh size and the Lamé parameters. The pure displacement, the mixed and the traction free problems are discussed in detail. We present a convergence analysis of the proposed preconditioners and include numerical examples that validate the theory and assess the performance of the preconditioners.

Preliminary Experience in Treatment of Papillary and Macular Retinoblastoma: Evaluation of Local Control and Local Complications After Treatment with Linear Accelerator-Based Stereotactic Radiotherapy with Micromultileaf Collimator as Second-Line or Salvage Treatment after chemotherapy.

PURPOSE: To determine the local control and complication rates for children with papillary and/or macular retinoblastoma progressing after chemotherapy and undergoing stereotactic radiotherapy (SRT) with a micromultileaf collimator. METHODS AND MATERIALS: Between 2004 and 2008, 11 children (15 eyes) with macular and/or papillary retinoblastoma were treated with SRT. The mean age was 19 months (range, 2-111). Of the 15 eyes, 7, 6, and 2 were classified as International Classification of Intraocular Retinoblastoma Group B, C, and E, respectively. The delivered dose of SRT was 50.4 Gy in 28 fractions using a dedicated micromultileaf collimator linear accelerator. RESULTS: The median follow-up was 20 months (range, 13-39). Local control was achieved in 13 eyes (87%). The actuarial 1- and 2-year local control rates were both 82%. SRT was well tolerated. Late adverse events were reported in 4 patients. Of the 4 patients, 2 had developed focal microangiopathy 20 months after SRT; 1 had developed a transient recurrence of retinal detachment; and 1 had developed bilateral cataracts. No optic neuropathy was observed. CONCLUSIONS: Linear accelerator-based SRT for papillary and/or macular retinoblastoma in children resulted in excellent tumor control rates with acceptable toxicity. Additional research regarding SRT and its intrinsic organ-at-risk sparing capability is justified in the framework of prospective trials.

Multiple-scale hydrological and geophysical data integration through non-linear Bayesian sequential simulation

Significant progress has been made with regard to the quantitative integration of geophysical and hydrological data at the local scale. However, extending the corresponding approaches to the scale of a field site represents a major, and as-of-yet largely unresolved, challenge. To address this problem, we have developed downscaling procedure based on a non-linear Bayesian sequential simulation approach. The main objective of this algorithm is to estimate the value of the sparsely sampled hydraulic conductivity at non-sampled locations based on its relation to the electrical conductivity logged at collocated wells and surface resistivity measurements, which are available throughout the studied site. The in situ relationship between the hydraulic and electrical conductivities is described through a non-parametric multivariatekernel density function. Then a stochastic integration of low-resolution, large-scale electrical resistivity tomography (ERT) data in combination with high-resolution, local-scale downhole measurements of the hydraulic and electrical conductivities is applied. The overall viability of this downscaling approach is tested and validated by comparing flow and transport simulation through the original and the upscaled hydraulic conductivity fields. Our results indicate that the proposed procedure allows obtaining remarkably faithful estimates of the regional-scale hydraulic conductivity structure and correspondingly reliable predictions of the transport characteristics over relatively long distances.

Medida de la Velocidad de Onda de Pulso mediante Ecografía Doppler: Concordancia con el Método Complior

La rigidez arterial es un parámetro establecido dentro de la valoración del riesgo cardio-vascular. Actualmente disponemos de múltiples métodos para determinar la velocidad de onda de pulso (VOP) y entre ellos los más utilizados son los métodos mecánicos, como el Complior o el Sphigmocor, que precisan de dispositivos específicos y una inversión importante en aprendizaje y tiempo de exploración. La utilización del doppler guiado por ecografía 2D es una buena alternativa a estos métodos. Realizamos un estudio comparativo para evaluar la fiabilidad del eco-doppler en la medida de la VOP carótida-femoral respecto al método Complior. Se estudió la VOP carótida-femoral utilizando los dos sistemas en 40 pacientes, mostrando ambos métodos muy buena concordancia (R=0’91). En el análisis de reproducibilidad de la VOP por doppler no se hallaron diferencias intra e interobservador. En base a los resultados, el estudio demuestra que la ecografía doppler puede ser usada para medir la VOP aórtica de manera fiable y reproducible, similar otros métodos más establecidos.

Local Distance-Based Generalized Linear Models using the dbstats package for R

This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models firstly with the generalized linear model concept, then by localizing. Distances between individuals are the only predictor information needed to fit these models. Therefore they are applicable to mixed (qualitative and quantitative) explanatory variables or when the regressor is of functional type. Models can be fitted and analysed with the R package dbstats, which implements several distancebased prediction methods.