974 resultados para Jaw Fixation Techniques
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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Engenharia Clínica)
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The research aimed to establish tyre-road noise models by using a Data Mining approach that allowed to build a predictive model and assess the importance of the tested input variables. The data modelling took into account three learning algorithms and three metrics to define the best predictive model. The variables tested included basic properties of pavement surfaces, macrotexture, megatexture, and uneven- ness and, for the first time, damping. Also, the importance of those variables was measured by using a sensitivity analysis procedure. Two types of models were set: one with basic variables and another with complex variables, such as megatexture and damping, all as a function of vehicles speed. More detailed models were additionally set by the speed level. As a result, several models with very good tyre-road noise predictive capacity were achieved. The most relevant variables were Speed, Temperature, Aggregate size, Mean Profile Depth, and Damping, which had the highest importance, even though influenced by speed. Megatexture and IRI had the lowest importance. The applicability of the models developed in this work is relevant for trucks tyre-noise prediction, represented by the AVON V4 test tyre, at the early stage of road pavements use. Therefore, the obtained models are highly useful for the design of pavements and for noise prediction by road authorities and contractors.
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Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes. One way to improve accuracy is through the combination of images from different sensors, by either image fusion or multi-sensor classifications. Therefore, the objective of this study was to determine which classification method is more efficient in improving land cover classification accuracies for the Amazon várzea and similar wetland environments - (a) synthetically fused optical and SAR images or (b) multi-sensor classification of paired SAR and optical images. Land cover classifications based on images from a single sensor (Landsat TM or Radarsat-2) are compared with multi-sensor and image fusion classifications. Object-based image analyses (OBIA) and the J.48 data-mining algorithm were used for automated classification, and classification accuracies were assessed using the kappa index of agreement and the recently proposed allocation and quantity disagreement measures. Overall, optical-based classifications had better accuracy than SAR-based classifications. Once both datasets were combined using the multi-sensor approach, there was a 2% decrease in allocation disagreement, as the method was able to overcome part of the limitations present in both images. Accuracy decreased when image fusion methods were used, however. We therefore concluded that the multi-sensor classification method is more appropriate for classifying land cover in the Amazon várzea.
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ABSTRACT The spatial distribution of forest biomass in the Amazon is heterogeneous with a temporal and spatial variation, especially in relation to the different vegetation types of this biome. Biomass estimated in this region varies significantly depending on the applied approach and the data set used for modeling it. In this context, this study aimed to evaluate three different geostatistical techniques to estimate the spatial distribution of aboveground biomass (AGB). The selected techniques were: 1) ordinary least-squares regression (OLS), 2) geographically weighted regression (GWR) and, 3) geographically weighted regression - kriging (GWR-K). These techniques were applied to the same field dataset, using the same environmental variables derived from cartographic information and high-resolution remote sensing data (RapidEye). This study was developed in the Amazon rainforest from Sucumbíos - Ecuador. The results of this study showed that the GWR-K, a hybrid technique, provided statistically satisfactory estimates with the lowest prediction error compared to the other two techniques. Furthermore, we observed that 75% of the AGB was explained by the combination of remote sensing data and environmental variables, where the forest types are the most important variable for estimating AGB. It should be noted that while the use of high-resolution images significantly improves the estimation of the spatial distribution of AGB, the processing of this information requires high computational demand.
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Commercial stents, especially metallic ones, present several disadvantages, and this gives rise to the necessity of producing or coating stents with different materials, like natural polymers, in order to improve their biocompatibility and minimize the disadvantages of metallic ones. This review paper discusses some applications of natural-based polymers in stents, namely polylactic acid (PLA) for stent development and chitosan for biocompatible coatings of stents . Furthermore, some effective stent functionalization techniques will be discussed, namely Layer by Layer (LBL) technique.
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We report new percutaneous techniques for perforating the pulmonary valve in pulmonary atresia with intact ventricular septum, in 3 newborns who had this birth defect. There was mild to moderate hypoplastic right ventricle, a patent infundibulum, and no coronary-cavitary communications. We succeeded in all cases, and no complications related to the procedure occurred. The new coaxial radiofrequency system was easy to handle, which simplified the procedure. Two patients required an additional source of pulmonary flow (Blalock-Taussig shunt) in the first week after catheterization. All patients had a satisfactory short-term clinical evolution and will undergo recatheterization within 1 year to define the next therapeutic strategy. We conclude that this technique may be safely and efficiently performed, especially when the new coaxial radiofrequency system is used, and it may become the initial treatment of choice in select neonates with pulmonary atresia and intact ventricular septum.
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The decision support models in intensive care units are developed to support medical staff in their decision making process. However, the optimization of these models is particularly difficult to apply due to dynamic, complex and multidisciplinary nature. Thus, there is a constant research and development of new algorithms capable of extracting knowledge from large volumes of data, in order to obtain better predictive results than the current algorithms. To test the optimization techniques a case study with real data provided by INTCare project was explored. This data is concerning to extubation cases. In this dataset, several models like Evolutionary Fuzzy Rule Learning, Lazy Learning, Decision Trees and many others were analysed in order to detect early extubation. The hydrids Decision Trees Genetic Algorithm, Supervised Classifier System and KNNAdaptive obtained the most accurate rate 93.2%, 93.1%, 92.97% respectively, thus showing their feasibility to work in a real environment.
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OBJECTIVE: To determine technical procedures and criteria used by Brazilian physicians for measuring blood pressure and diagnosing hypertension. METHODS: A questionnaire with 5 questions about practices and behaviors regarding blood pressure measurement and the diagnosis of hypertension was sent to 25,606 physicians in all Brazilian regions through a mailing list. The responses were compared with the recommendations of a specific consensus and descriptive analysis. RESULTS: Of the 3,621 (14.1%) responses obtained, 57% were from the southeastern region of Brazil. The following items were reported: use of an aneroid device by 67.8%; use of a mercury column device by 14.6%; 11.9% of the participants never calibrated the devices; 35.7% calibrated the devices at intervals < 1 year; 85.8% measured blood pressure in 100% of the medical visits; 86.9% measured blood pressure more than once and on more than one occasion. For hypertension diagnosis, 55.7% considered the patient's age, and only 1/3 relied on consensus statements. CONCLUSION: Despite the adequate frequency of both practices, it was far from that expected, and some contradictions between the diagnostic criterion for hypertension and the number of blood pressure measurements were found. The results suggest that, to include the great majority of the medical professionals, disclosure of consensus statements and techniques for blood pressure measurement should go beyond the boundaries of medical events and specialized journals.
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OBJECTIVE: To assess blood pressure measurement by health professionals of a public hospital in São Paulo State. METHODS: Semi-structured interviews and direct observation were performed with a verification list according to the criteria reported by Perloff et al. One hundred and five health professionals took part in the study. After measuring blood pressure, the level of concordance between the way the procedure was performed and the recommended one was assessed. RESULTS: Nurses and nurse's aides abided by 40% of the recommended procedures for adequate blood pressure measurement. The other categories of health professionals (nursing and medicine teachers, physicians, residents, and nursing students) abided by approximately 70%. CONCLUSION: Permanent educational activities aiming at standardizing blood pressure measurement should be implemented among the different categories of health professionals.
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En ambientes fluviales, la interacción del flujo con la geometría del cauce y con los sedimentos del lecho define una dinámica turbulenta compleja en permanente evolución. El nivel de complejidad del flujo aumenta ante la presencia de estructuras hidráulicas (pilas de puentes, protecciones contra erosión, etc.). La mayoría de los ríos, o canales naturales, presentan confluencias y bifurcaciones, en donde se genera una convergencia (o divergencia) del flujo con el resultado de un ambiente hidrodinámico complejo en la cercanía de las uniones (Kenworthy y Rhoads 1995). Bajo estas condiciones no es posible extrapolar las soluciones tradicionales básicas de las ecuaciones de gobierno desarrolladas para canales rectos y uniformes. Algunas investigaciones experimentales realizadas en estos sistemas son las de Best (1988), Rhoads y Sukhodolov (2001), Richardson et al. (1996); Richardson y Thorne (1998, 2001); Parsons et al. (2004); Szupiany et al. (2005).Por otro lado, la zona costera en ambientes marítimos se caracteriza por la existencia de diversos procesos dinámicos, entre los que se destacan la acción de olas, corrientes, interacción olas-corrientes, transporte de sedimentos y cambios batimétricos. Estos se manifiestan en una alteración morfodinámica de la playa generando superficies potenciales de erosión. Así, el diseño de las protecciones costeras (ya sean continuas, como escolleras o muros verticales; o discontinuas como espigones o diques externos) sometidas al clima marítimo bajo distintas condiciones de olas y mareas, alteran los patrones de circulación y de transporte afectando la morfodinámica en su zona de influencia y plantean, por ejemplo, la necesidad de ajustes de los coeficientes de estabilidad y pesos de los bloques de roca de las escolleras. Los problemas generados, son especialmente complejos ya que deben considerarse para su estudio, los niveles de turbulencia, la transmisión del oleaje sobre o a través de la estructura, difracción alrededor de la misma, refracción y shoaling sobre un fondo dinámico, reflexión en la estructura, etc. (Alsina et al., 2007) Revisiones bibliográficas previas muestran que, en ambos ambientes (fluvial y marítimo), es necesario optimizar las técnicas experimentales existentes para que ellas permitan caracterizar con precisión los flujos turbulentos complejos presentes. El objetivo general propuesto en esta investigación es contribuir a mejorar el conocimiento de los procesos hidrodinámicos de flujos turbulentos naturales con y sin la presencia de estructuras hidráulicas que den lugar a formaciones complejas (3D). Para alcanzar este objetivo se propone realizar una recopilación de antecedentes y un análisis crítico detallado de los equipos de ultima generación para mediciones de flujo con alta frecuencia y resolución disponibles en el Laboratorio de Hidráulica (LH) de la Universidad Nacional de Córdoba (UNC): ADV 3D (Acoustic Doppler Velocimeter de Sontek) y laser PIV 2D (Particle Image Velocimeter de Dantec). A estos equipamientos se le agrega un moderno equipo de generación bidimensional de oleaje con absorción dinámica (adquiridos a HR Ltd. en 2007 por el CAI 085 del FONTAR). Finalmente se prevé utilizar este equipamiento durante el desarrollo de experimentos y mediciones los cuales se realizarán sobre modelos físicos fluviales y costeros diseñados y construidos con y sin estructuras que interactúen con flujo turbulentos complejos. Los resultados obtenidos en este proyecto permitirá alcanzar una mejor comprensión de los procesos hidrodinámicos de los flujos turbulentos complejos, lo cual es necesario y de gran utilidad para realizar un manejo apropiado de los ambientes fluviales y marítimos, teniendo como campo directo de aplicación el correcto diseño de estructuras hidráulicas, asistiendo a la toma de medidas correctivas en sistemas naturales sometidos a procesos erosivos o de sedimentación, y contribuyendo de esta forma al manejo ambientalmente sustentable de los recursos.
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In today’s world, many companies are concentrating on both their technology and human resources to provide them with their competitive advantage. Hence, understanding what motivates people is particularly important for managers in order to develop and sustain a competitive edge. As a result, numerous theories have been advanced to help our understanding of the subject matter and from these theories many motivational methods have evolved to enhance motivation within the workplace. In addition, research has been conducted on the various types of motivational techniques utilised by companies within Ireland. However, very little research has been completed within specific geographical regions in Ireland concerning the types of motivational techniques implemented at different job levels and their impact on employees work performance. Thus the objective of this research was to identify the motivational techniques utilised at different job levels within large manufacturing and service companies in the Northwest of Ireland and examine how these techniques influence the performance levels of employees. Furthermore, the study examined if these companies have changed from traditional ways of motivating employees to newer techniques. The research methodologies used to undertake the research included interviews with the HR managers and questionnaires completed by different employees at various job levels within the participating companies. Overall the conclusions were varied. Many different types of motivation techniques were found within the study’s participating companies. Irish companies are improving their motivational techniques, however most of these techniques are only used within higher job levels. In contrast to their American counterparts, a variety of motivational techniques are utilised and implemented at all job levels. On a more positive note, the majority of these motivational techniques do increase performance levels at all job levels. From the extensive primary and secondary research conducted, the thesis concludes by offering a number of recommendations to assist companies in further development of their motivational techniques for all job levels. These recommendations hope to augment the success of companies through an enhanced motivated workforce.
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This study utilised recent developments in forensic aromatic hydrocarbon fingerprint analysis to characterise and identify specific biogenic, pyrogenic and petrogenic contamination. The fingerprinting and data interpretation techniques discussed include the recognition of: The distribution patterns of hydrocarbons (alkylated naphthalene, phenanthrene, dibenzothiophene, fluorene, chrysene and phenol isomers), • Analysis of “source-specific marker” compounds (individual saturated hydrocarbons, including n-alkanes (n-C5 through 0-C40) • Selected benzene, toluene, ethylbenzene and xylene isomers (BTEX), • The recalcitrant isoprenoids; pristane and phytane and • The determination of diagnostic ratios of specific petroleum / non-petroleum constituents, and the application of various statistical and numerical analysis tools. An unknown sample from the Irish Environmental Protection Agency (EPA) for origin characterisation was subjected to analysis by gas chromatography utilising both flame ionisation and mass spectral detection techniques in comparison to known reference materials. The percentage of the individual Polycyclic Aromatic Hydrocarbons (PAIIs) and biomarker concentrations in the unknown sample were normalised to the sum of the analytes and the results were compared with the corresponding results with a range of reference materials. In addition, to the determination of conventional diagnostic PAH and biomarker ratios, a number of “source-specific markers” isomeric PAHs within the same alkylation levels were determined, and their relative abundance ratios were computed in order to definitively identify and differentiate the various sources. Statistical logarithmic star plots were generated from both sets of data to give a pictorial representation of the comparison between the unknown sample and reference products. The study successfully characterised the unknown sample as being contaminated with a “coal tar” and clearly demonstrates the future role of compound ratio analysis (CORAT) in the identification of possible source contaminants.
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Magdeburg, Univ., Medizin. Fakultät, Diss., 2005
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Spread spectrum, Automotive Radar, Indoor Positioning Systems, Ultrasonic and Microwave Imaging, super resolution technique and wavelet transform
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Complex Microwave Structures Wake Field Computatation PETRA III Generalized Multipole Technique Antenna Antennen Wakefelder Berechnung