998 resultados para PERMANENT DENTAL RESTORATION


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PURPOSE:To determine the indication for and incidence and evolution of temporary and permanent pacemaker implantation in cardiac transplant recipients. METHODS: A retrospective review of 114 patients who underwent orthotopic heart transplantation InCor (Heart Institute USP BR) between March 1985 and May 1993. We studied the incidence of and indication for temporary pacing, the relationship between pacing and rejection, the need for pemanent pacing and the clinical follow-up. RESULTS: Fourteen of 114 (12%)heart transplant recipients required temporary pacing and 4 of 114 (3.5%) patients required permanent pacing. The indication for temporary pacing was sinus node dysfunction in 11 patients (78.5%) and atrioventricular (AV) block in 3 patients (21.4%). The indication for permanent pacemaker implantation was sinus node dysfunction in 3 patients (75%) and atrioventricular (AV) block in 1 patient (25%). We observed rejection in 3 patients (21.4%) who required temporary pacing and in 2 patients (50%) who required permanent pacing. The previous use of amiodarone was observed in 10 patients (71.4%) with temporary pacing. Seven of the 14 patients (50%) died during follow-up. CONCLUSION: Sinus node dysfunction was the principal indication for temporary and permanent pacemaker implantation in cardiac transplant recipients. The need for pacing was related to worse prognosis after cardiac transplantation.

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Las áreas montanas brindan numerosos bienes y servicios a la humanidad cómo la provisión de agua. Asimismo, albergan una biota muy diversa y existe en ellas una actividad económica de considerable importancia centrada en la ganadería. En algunos casos las actividades asociadas a la ganadería pueden modificar los ecosistemas montanos y los bienes y servicios que brindan de forma drástica. Esto se debe a los cambios en la vegetación, y la pérdida y compactación de los suelos, que tiene repercusiones en la cantidad de agua captada, evapotranspirada y almacenada. También tiene repercusiones sobre la biodiversidad, tanto positivas como negativas. Aquí nos propusimos investigar cómo los cambios en la cobertura vegetal producidos por cuatro siglos de uso ganadero en el piso superior de las Sierras de Córdoba (Centro Argentino) han afectado a atributos del ecosistema como la diversidad vegetal, la integridad de los suelos y la capacidad de proveer agua a la población humana. A su vez, nos propusimos estudiar en detalle cómo las distintas opciones actuales de manejo pueden afectar a la cobertura vegetal y por ende a los atributos del ecosistema. De este modo, esperamos: (1) poder desarrollar un modelo espacialmente explícito que permita predecir la evolución del ecosistema ante distintos escenarios de manejo. (2) Más a largo plazo determinar los costos y los beneficios de los distintos manejos, en términos de la conservación de la biodiversidad, los suelos y la provisión de agua. El área de estudio cuenta un Sistema de Información Geográfica muy completo que incluye numerosas capas de información (vegetación, topografía, casas y caminos y otras). Además, existe en el área un Parque Nacional, con potreros bajo distintos manejos ganaderos (exclusión, cargas ganaderas moderadas continuas y estacionales), y una zona con herbivoría nativa de guanacos, que fueron reintroducidos recientemente en el Parque. Fuera del Parque, hay establecimientos con ganadería tradicional, con cargas ganaderas altas; así como un área donde se ha realizado una restauración modelo mediante reforestación y revegetación de zonas erosionadas. Estos escenarios representan una oportunidad muy especial para realizar estudios comparativos de la evolución de la fisonomía, composición florística, diversidad vegetal, integridad del suelo (erosión, tasa de infiltración, contenido de agua a lo largo del año) y el caudal de los arroyos en la estación seca. En este proyecto proponemos seguir con mediciones de la evolución de la vegetación bajo los distintos escenarios y seguir averiguando métodos de restauración de la vegetación. Además, proponemos empezar a realizar mediciones relacionadas al valor de los distintos tipos de cobertura vegetal, resultado de cuatro siglos de historia de disturbio, sobre la diversidad y los recursos hídricos. Por otro lado, realizaremos mediciones ecofisiológicas en las especies dominantes, para comprender sus efectos sobre el ciclo del agua.

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Data Mining, Vision Restoration, Treatment outcome prediction, Self-Organising-Map

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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2015

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The comparative analysis of continuous signals restoration by different kinds of approximation is performed. The software product, allowing to define optimal method of different original signals restoration by Lagrange polynomial, Kotelnikov interpolation series, linear and cubic splines, Haar wavelet and Kotelnikov-Shannon wavelet based on criterion of minimum value of mean-square deviation is proposed. Practical recommendations on the selection of approximation function for different class of signals are obtained.

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Questions: A multiple plot design was developed for permanent vegetation plots. How reliable are the different methods used in this design and which changes can we measure? Location: Alpine meadows (2430 m a.s.l.) in the Swiss Alps. Methods: Four inventories were obtained from 40 m(2) plots: four subplots (0.4 m(2)) with a list of species, two 10m transects with the point method (50 points on each), one subplot (4 m2) with a list of species and visual cover estimates as a percentage and the complete plot (40 m(2)) with a list of species and visual estimates in classes. This design was tested by five to seven experienced botanists in three plots. Results: Whatever the sampling size, only 45-63% of the species were seen by all the observers. However, the majority of the overlooked species had cover < 0.1%. Pairs of observers overlooked 10-20% less species than single observers. The point method was the best method for cover estimate, but it took much longer than visual cover estimates, and 100 points allowed for the monitoring of only a very limited number of species. The visual estimate as a percentage was more precise than classes. Working in pairs did not improve the estimates, but one botanist repeating the survey is more reliable than a succession of different observers. Conclusion: Lists of species are insufficient for monitoring. It is necessary to add cover estimates to allow for subsequent interpretations in spite of the overlooked species. The choice of the method depends on the available resources: the point method is time consuming but gives precise data for a limited number of species, while visual estimates are quick but allow for recording only large changes in cover. Constant pairs of observers improve the reliability of the records.

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This paper uses a unique individual level administrative data set to analyse the participation of health professionals in the NHS after training. The data set contains information on over 1,000 dentists who received Dental Vocational Training in Scotland between 1995 and 2006. Using a dynamic nonlinear panel data model, we estimate the determinants of post-training participation. We nd there is signi cant persistence in these data and are able to show that the persistence arises from state dependence and individual heterogeneity. This finding has implications for the structure of policies designed to increase participation rates. We apply this empirical framework to assess the accuracy of predictions for workforce forecasting, and to provide a preliminary estimate of the impact of one of the recruitment and retention policies available to dentists in Scotland.

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We propose an alternative approach to obtaining a permanent equilibrium exchange rate (PEER), based on an unobserved components (UC) model. This approach offers a number of advantages over the conventional cointegration-based PEER. Firstly, we do not rely on the prerequisite that cointegration has to be found between the real exchange rate and macroeconomic fundamentals to obtain non-spurious long-run relationships and the PEER. Secondly, the impact that the permanent and transitory components of the macroeconomic fundamentals have on the real exchange rate can be modelled separately in the UC model. This is important for variables where the long and short-run effects may drive the real exchange rate in opposite directions, such as the relative government expenditure ratio. We also demonstrate that our proposed exchange rate models have good out-of sample forecasting properties. Our approach would be a useful technique for central banks to estimate the equilibrium exchange rate and to forecast the long-run movements of the exchange rate.

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El projecte pretenia analitzar com l'ús de les noves tecnologies incideixen en un procés de formació permanent per afavorir la participació i l’apropiació de les noves mirades als fenòmens, la innovació en didàctica de les ciències experimentals i les ciències socials. El projecte ha tingut una durada d'un any i s'ha realitzat a Catalunya. En el projecte han intervingut tres formadors de la UAB i els Camps d'Aprenentatge depenents del Departament d'Educació. El desenvolupament del projecte ha tingut lloc en base als materials elaborats o transcrits durant diferents sessions virtuals, en les que s'ha utilitzat una plataforma sincrònica, i en diferents sessions presencials. Els resultats del projecte mostren que tot i que el canvi de les mirades sobre els fenòmens del món és un procés lent, l'us de la plataforma combinada amb sessions presencials, i l'anàlisi i la discussió dels resultats amb els formadors, afavoreix aquest procés de canvi.

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BACKGROUND: Inflammatory bowel disease can decrease the quality of life and induce work disability. We sought to (1) identify and quantify the predictors of disease-specific work disability in patients with inflammatory bowel disease and (2) assess the suitability of using cross-sectional data to predict future outcomes, using the Swiss Inflammatory Bowel Disease Cohort Study data. METHODS: A total of 1187 patients were enrolled and followed up for an average of 13 months. Predictors included patient and disease characteristics and drug utilization. Potential predictors were identified through an expert panel and published literature. We estimated adjusted effect estimates with 95% confidence intervals using logistic and zero-inflated Poisson regression. RESULTS: Overall, 699 (58.9%) experienced Crohn's disease and 488 (41.1%) had ulcerative colitis. Most important predictors for temporary work disability in patients with Crohn's disease included gender, disease duration, disease activity, C-reactive protein level, smoking, depressive symptoms, fistulas, extraintestinal manifestations, and the use of immunosuppressants/steroids. Temporary work disability in patients with ulcerative colitis was associated with age, disease duration, disease activity, and the use of steroids/antibiotics. In all patients, disease activity emerged as the only predictor of permanent work disability. Comparing data at enrollment versus follow-up yielded substantial differences regarding disability and predictors, with follow-up data showing greater predictor effects. CONCLUSIONS: We identified predictors of work disability in patients with Crohn's disease and ulcerative colitis. Our findings can help in forecasting these disease courses and guide the choice of appropriate measures to prevent adverse outcomes. Comparing cross-sectional and longitudinal data showed that the conduction of cohort studies is inevitable for the examination of disability.

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This paper employs an unobserved component model that incorporates a set of economic fundamentals to obtain the Euro-Dollar permanent equilibrium exchange rates (PEER) for the period 1975Q1 to 2008Q4. The results show that for most of the sample period, the Euro-Dollar exchange rate closely followed the values implied by the PEER. The only significant deviations from the PEER occurred in the years immediately before and after the introduction of the single European currency. The forecasting exercise shows that incorporating economic fundamentals provides a better long-run exchange rate forecasting performance than a random walk process.