968 resultados para Rivera, Iris


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Age of a population of rainbow trout (Salmo gairdneri) from a pond in Patagonia was studied by means of scale readings. The population was sampled three times, on December 1984, March 1985 and March 1986. Length at age was back-calculated from growth marks on scales, using the Fraser-Lee equation. By the analysis of length distributions and numbers of marks on scales from each sample, it was concluded that this population was formed by a single cohort, born in spring 1982 and stocked shortly after. Stocking rate is unknown. Significant differences (P0.05) were found between back-calculations of length at age 1 from samples of December 1984 and March 1986. These differences were probably due to length-scale radius relation. Evidences from scales suggested that a single mark is formed each year, during early-mid spring. On the other hand, according to availabe data from the literature for the same species, this population has presented one of the highest growth rates. (pdf contains 15 pages)

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“欧盟工业风险降低集成系统(IRIS)”是欧盟FP7科技计划项目,旨在将欧盟各个行业风险管理零散的现状,整合成一个全面系统的风险控制方法,建立不同行业之间相关事务的共享平台。本文介绍了项目的立项背景,目标、内容及其焦点问题。

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La Sociedad de Ciencias Aranzadi requiere de un equipo muy costoso para realizar uno de sus estudios sobre la gaviota patiamarilla del Cantábrico, y ha propuesto a la facultad de informática de Donostia-San Sebastián la creación de un dispositivo para el mismo fin, por un precio menor. Los dispositivos elegidos para la realización del seguimiento son las motas IRIS a las que se incorpora un GPS para poder registrar la localización de las aves. El objetivo de este proyecto consiste en implementar en NesC parte del código de una aplicación de seguimiento de aves. Además, se requiere diseñar un sistema de actualización del software que ejecutan las motas de forma inalámbrica mediante el sistema de radio. Este documento analiza la implementación del software para el seguimiento de las gaviotas patiamarillas, asi como el análisis previo del sistema operativo utilizado, TinyOS y las funcionalidades que éste nos ofrece.

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In this paper, we constructed a Iris recognition algorithm based on point covering of high-dimensional space and Multi-weighted neuron of point covering of high-dimensional space, and proposed a new method for iris recognition based on point covering theory of high-dimensional space. In this method, irises are trained as "cognition" one class by one class, and it doesn't influence the original recognition knowledge for samples of the new added class. The results of experiments show the rejection rate is 98.9%, the correct cognition rate and the error rate are 95.71% and 3.5% respectively. The experimental results demonstrate that the rejection rate of test samples excluded in the training samples class is very high. It proves the proposed method for iris recognition is effective.

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In this paper, from the cognition science point of view, we constructed a neuron of multi-weighted neural network, and proposed a new method for iris recognition based on multi-weighted neuron. In this method, irises are trained as "cognition" one class by one class, and it doesn't influence the original recognition knowledge for samples of the new added class. The results of experiments show the correct rejection rate is 98.9%, the correct cognition rate and the error recognition rate are 95.71% and 3.5% respectively. The experimental results demonstrate that the correct rejection rate of the test samples excluded in the classes of training samples is very high. It proves the proposed method for iris recognition is effective.

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Tuberculosis-associated immune reconstitution inflammatory syndrome (TB-IRIS) remains a poorly understood complication in HIV-TB patients receiving antiretroviral therapy (ART). TB-IRIS could be associated with an exaggerated immune response to TB-antigens. We compared the recovery of IFNγ responses to recall and TB-antigens and explored in vitro innate cytokine production in TB-IRIS patients.

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