The Lateral Trigger Probability function for the Ultra-High Energy Cosmic Ray showers detected by the Pierre Auger Observatory

In this paper we introduce the concept of Lateral Trigger Probability (LTP) function, i.e., the probability for an Extensive Air Shower (EAS) to trigger an individual detector of a ground based array as a function of distance to the shower axis, taking into account energy, mass and direction of the primary cosmic ray. We apply this concept to the surface array of the Pierre Auger Observatory consisting of a 1.5 km spaced grid of about 1600 water Cherenkov stations. Using Monte Carlo simulations of ultra-high energy showers the LTP functions are derived for energies in the range between 10(17) and 10(19) eV and zenith angles up to 65 degrees. A parametrization combining a step function with an exponential is found to reproduce them very well in the considered range of energies and zenith angles. The LTP functions can also be obtained from data using events simultaneously observed by the fluorescence and the surface detector of the Pierre Auger Observatory (hybrid events). We validate the Monte Carlo results showing how LTP functions from data are in good agreement with simulations.

Detección de eventos adversos en cirugía general mediante la aplicación de la metodología "trigger tool"

Desde la publicación del trabajo de Brenan, Harvard Medical Practice Study, en los años 90, el estudio de los eventos adversos (EA) se ha convertido en objetivo fundamental de los sistemas sanitarios. Este estudio surgió con el objetivo de identificar los motivos del enorme gasto económico que suponían los procesos judiciales y las indemnizaciones derivadas de la asistencia sanitaria y en el se constató que el 3,7% de los ingresos hospitalarios sufrieron al menos un EA. El informe publicado por “The Institute of Medicine” en el año 1999 estimó que en Estados Unidos, aproximadamente 1 millón de pacientes padecían algún tipo de EA, y que el 7 % de estos EA podrían producir la muerte del paciente. Entre 44.000 y 98.000 pacientes morían como consecuencia de los EA. Hasta la actualidad decenas de trabajos con metodología similar al de Brenan se han llevado a cabo en diversos países. Sin embargo las motivaciones de los estudios posteriores, que se orientaban a la mejora de calidad más que la búsqueda de responsabilidades legales, dejaron de manifiesto que alrededor de un 10 % de las pacientes asistidos en hospitales sufrían algún EA...

A Study of the Robustness Against SEUs of Digital Circuits Implemented with FPGA DSPs

In this paper we present an experimental validation of the reliability increase of digital circuits implemented in XilinxTMFPGAs when they are implemented using the DSPs (Digital Signal Processors) that are available in the reconfigurable device. For this purpose, we have used a fault-injection platform developed by our research group, NESSY [1]. The presented experiments demonstrate that the probability of occurrence of a SEU effect is similar both in the circuits implemented with and without using embedded DSPs. However, the former are more efficient in terms of area usage, which leads to a decrease in the probability of a SEU occurrence.

Synchronization of Heteroclinic Circuits Through Learning in Chains of Neural Motifs

The synchronization of oscillatory activity in networks of neural networks is usually implemented through coupling the state variables describing neuronal dynamics. In this study we discuss another but complementary mechanism based on a learning process with memory. A driver network motif, acting as a teacher, exhibits winner-less competition (WLC) dynamics, while a driven motif, a learner, tunes its internal couplings according to the oscillations observed in the teacher. We show that under appropriate training the learner motif can dynamically copy the coupling pattern of the teacher and thus synchronize oscillations with the teacher. Then, we demonstrate that the replication of the WLC dynamics occurs for intermediate memory lengths only. In a unidirectional chain of N motifs coupled through teacher-learner paradigm the time interval required for pattern replication grows linearly with the chain size, hence the learning process does not blow up and at the end we observe phase synchronized oscillations along the chain. We also show that in a learning chain closed into a ring the network motifs come to a consensus, i.e. to a state with the same connectivity pattern corresponding to the mean initial pattern averaged over all network motifs.