904 resultados para Surgical instruments and apparatus
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Left ventricular pressure overload in response to aortic banding is an invaluable model for studying progression of cardiac hypertrophy and transition to heart failure. Traditional aortic banding has recently been superceded by minimally invasive transverse aortic banding (MTAB) which does not require ventilation so is less technically challenging. Although the MTAB procedure is superior, few laboratories have documented success and minimal information on the model is available. The aim of this study was to optimise conditions for MTAB and to characterise the development and progression of cardiac hypertrophy. Isofluorane proved the most suitable anaesthetic for MTAB surgery in mice and one week after surgery MTAB animals showed significant increases in systolic blood pressure (110±6 v's 78±3(mmHg), MTAB v's sham, n=7,p
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2. K. Gow, P.K.J Robertson, P.M. Pollard, and K. Christidis
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Esta tese apresenta alguns aspectos em como o fenómeno do gesto musical pode ser compreendido na percepção da interação musical na música para instrumentos e sons electroacústicos. Através de exemplos de análise, classificação e categorização de diferentes relacões gestuais entre instrumentos e sons electroacústicos, pretende-se estabelecer modelos específicos de interacção que podem ser aplicados como método analítico assim como na composição musical. A pesquisa parte de uma variedade de definições sobre gesto musical na música em geral, na música contemporânea e na música electroacústica em particular, para subsequentemente incluir as relações entre dois eventos sonoros com características diferentes - o electroacústico e o instrumental. São essencialmente abordadas as relações entre gestos musicais através da análise de diversas características: altura, ritmo, timbre, dinâmica, características contrapontísticas, espectromorfológicas, semânticas e espaciais. O resultado da pesquisa teórica serviu de suporte à composição de diversas obras, onde estes aspectos são explorados sob o ponto de vista da criação musical.
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We discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric models and recent developments on weakly identified models (or weak instruments). We point out that many hypotheses, for which test procedures are commonly proposed, are not testable at all, while some frequently used econometric methods are fundamentally inappropriate for the models considered. Such situations lead to ill-defined statistical problems and are often associated with a misguided use of asymptotic distributional results. Concerning nonparametric hypotheses, we discuss three basic problems for which such difficulties occur: (1) testing a mean (or a moment) under (too) weak distributional assumptions; (2) inference under heteroskedasticity of unknown form; (3) inference in dynamic models with an unlimited number of parameters. Concerning weakly identified models, we stress that valid inference should be based on proper pivotal functions —a condition not satisfied by standard Wald-type methods based on standard errors — and we discuss recent developments in this field, mainly from the viewpoint of building valid tests and confidence sets. The techniques discussed include alternative proposed statistics, bounds, projection, split-sampling, conditioning, Monte Carlo tests. The possibility of deriving a finite-sample distributional theory, robustness to the presence of weak instruments, and robustness to the specification of a model for endogenous explanatory variables are stressed as important criteria assessing alternative procedures.
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UANL
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The paper discusses maintenance challenges of organisations with a huge number of devices and proposes the use of probabilistic models to assist monitoring and maintenance planning. The proposal assumes connectivity of instruments to report relevant features for monitoring. Also, the existence of enough historical registers with diagnosed breakdowns is required to make probabilistic models reliable and useful for predictive maintenance strategies based on them. Regular Markov models based on estimated failure and repair rates are proposed to calculate the availability of the instruments and Dynamic Bayesian Networks are proposed to model cause-effect relationships to trigger predictive maintenance services based on the influence between observed features and previously documented diagnostics
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En junio de 2000 el Departamento Nacional de Estadística de Colombia adopto una nueva definición de medición de desempleo siguiendo los estándares sugeridos por la organización Internacional del Trabajo (OIT). El cambio de definición implico una reducción de la tasa de desempleo en cerca de dos puntos porcentuales. En este documento contrastamos la experiencia colombiana con otra experiencias internacionales, y analizamos las implicaciones empíricas y teóricas de este cambio de definición usando dos tipos de estimaciones cuantitativas: en la primera se contrasta las principales características de las diferentes categorías clasificadas según la definición nueva y vieja de desempleo (empleado, desempleado y fuera de la fuerza laboral) usando el algoritmo EM; en la segunda se pone a prueba la implicación del desempleo estructural y su relación con el perfil educacional de personas desempleadas y las características teóricas que enfrentan los estándares de la OIT en la definición de empleo.