35 resultados para MBD


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In this paper, we propose features extracted from the heart rate variability (HRV) based on the first and second conditional moments of time-frequency distribution (TFD) as an additional guide for seizure detection in newborn. The features of HRV in the low frequency band (LF: 0-0.07 Hz), mid frequency band (MF: 0.07-0.15 Hz), and high frequency band (HF: 0.15-0.6 Hz) have been obtained by means of the time-frequency analysis using the modified-B distribution (MBD). Results of ongoing time-frequency research are presented. Based on our preliminary results, the first conditional moment of HRV which is also known as the mean/central frequency in the LF band and the second conditional moment of HRV which is also known as the variance/instantaneous bandwidth (IB) in the HF band can be used as a good feature to discriminate the newborn seizure from the non-seizure

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O estudo pretende comparar o efeito de diferentes tipos de exercício físico na composição corporal e força em jovens desportistas do sexo feminino. A amostra foi constituída por vinte e seis desportistas femininas com idades compreendidas entre os 16 e 21 anos. Previamente ao início do estudo foram sujeitas ao 1º momento de avaliação, e após vinte e quatro semanas realizaram o segundo e ultimo momento de avaliação. Os parâmetros avaliados foram a composição corporal através da técnica de absorciometria radiológica de dupla energia; a força isocinética, nomeadamente os momentos de força (peak-torques) e rácios nos músculos extensores e flexores do joelho; a potência muscular nos membros inferiores através dos saltos verticais Squat jump e Countermovement jump. Posteriormente foram separadas em quatro grupos, grupo natação e exercício vibratório (NAT EV; n= 6), grupo natação (NAT; n=6), grupo futsal (FUTS; n= 6) e o grupo de controlo (CONT; n= 8). O grupo (NAT/EV), participou num programa de exercício vibratório (EV), três sessões por semana complementar ao treino de natação. O grupo de (NAT) cumpriu o plano de treino correspondente à disciplina, o grupo de (FUTS) cumpriu o treino referente à respetiva modalidade, o grupo controlo (CONT) realizou somente os exercícios físicos inerentes às aulas de educação física na escola. Resultados: Nas comparações inter grupos, verificou-se no grupo FUTS um aumento de 0,1 (g/m2) ± 0,0 nos valores da DMO-PE, quando comparado com o grupo de CONT, nas comparações intra grupo o grupo de NAT EV registou um acréscimo de 0,1 (g/m2) ± 0,1 nos valores da DMO-TC. Em conclusão, os resultados obtidos sugerem que a modalidade de FUTS promoveu mais alterações na composição corporal, nomeadamente na DMO-PE, no entanto dados conseguidos pelo grupo de NAT EV sugerem que o exercício vibratório poderá influenciar positivamente o incremento da DMO; ABSTRACT: The objective of this study was to compare the effect of different types of exercise on body composition and strength in young female athletes. The sample consisted of twenty-six female athletes aged between 16 and 21. Before the study there was a 1st evaluation point, after twenty-four weeks there was the 2nd and final evaluation. We evaluated body composition through x-ray absorptiometry technique of dual energy, isokinetic strength, including the peak-torques and ratios in the extensor and flexor muscles of the knee; the muscle power in the lower limbs was evaluatated through the vertical jumps Squat jump and countermovement jump. During the study they were separated into four groups, swimming exercise group and vibration (NAT EV; n = 6), swimming group (NAT; n= 6), footsal group (FUTS; n= 6) and control group (CONT; n= 8). The NAT/EV group, participated in a vibrating exercise program (EV), complementary to swimming training, with three sessions per week. The NAT group fulfilled the corresponding swimming workout plan, FUTS group fulfilled the training related to futsal, the CONT group only performed the usual exercises in physical education classes at school. Results: In intergroup comparisons, there was an increase in FUTS group of 0.1 (g / m2) ± 0.0 in the values of MBD-PE, when compared with the CONT group comparisons in intra-group group NAT EV increased by 0.1 (g / m2) ± 0.1 in BMD-TC values. In conclusion, the results suggest that FUTS group promoted more changes in body composition, particularly in BMD-PE, but data obtained by NAT EV group suggest that vibration exercise can positively influence the increase in BMD.

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Beef constitutes a main component of the American diet and still represent the principal source of protein in many parts of the world. Currently, the meat market is experiencing an important transformation; consumers are increasingly switching from consuming traditional beef to grass-fed beef. People recognized products obtained from grass-fed animals as more natural and healthy. However, the true variations between these two production systems regarding various aspects remain unclear. This dissertation provides information from closely genetically related animals, in order to decrease confounding factors, to explain several confused divergences between grain-fed and grass-fed beef. First, we examined the growth curve, important economic traits and quality carcass characteristics over four consecutive years in grain-fed and grass-fed animals, generating valuable information for management decisions and economic evaluation for grass-fed cattle operations. Second, we performed the first integrated transcriptomic and metabolomic analysis in grass-fed beef, detecting alterations in glucose metabolism, divergences in free fatty acids and carnitine conjugated lipid levels, and altered β-oxidation. Results suggest that grass finished beef could possibly benefit consumer health from having lower total fat content and better lipid profile than grain-fed beef. Regarding animal welfare, grass-fed animals may experience less stress than grain-fed individuals as well. Finally, we contrasted the genome-wide DNA methylation of grass-fed beef against grain-fed beef using the methyl-CpG binding domain sequencing (MBD-Seq) method, identifying 60 differentially methylated regions (DMRs). Most of DMRs were located inside or upstream of genes and displayed increased levels of methylation in grass-fed individuals, implying a global DNA methylation increment in this group. Interestingly, chromosome 14, which has been associated with large effects on ADG, marbling, back fat, ribeye area and hot carcass weight in beef cattle, allocated the largest number of DMRs (12/60). The pathway analysis identified skeletal and muscular system as the preeminent physiological system and function, and recognized carbohydrates metabolism, lipid metabolism and tissue morphology among the highest ranked networks. Therefore, although we recognize some limitations and assume that additional examination is still required, this project provides the first integrative genomic, epigenetic and metabolomics characterization of beef produced under grass-fed regimen.

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The design optimization of industrial products has always been an essential activity to improve product quality while reducing time-to-market and production costs. Although cost management is very complex and comprises all phases of the product life cycle, the control of geometrical and dimensional variations, known as Dimensional Management (DM), allows compliance with product and process requirements. Hence, the tolerance-cost optimization becomes the main practice to provide an effective application of Design for Tolerancing (DfT) and Design to Cost (DtC) approaches by enabling a connection between product tolerances and associated manufacturing costs. However, despite the growing interest in this topic, a profitable application in the industry of these techniques is hampered by their complexity: the definition of a systematic framework is the key element to improving design optimization, enhancing the concurrent use of Computer-Aided tools and Model-Based Definition (MBD) practices. The present doctorate research aims to define and develop an integrated methodology for product/process design optimization, to better exploit the new capabilities of advanced simulations and tools. By implementing predictive models and multi-disciplinary optimization, a Computer-Aided Integrated framework for tolerance-cost optimization has been proposed to allow the integration of DfT and DtC approaches and their direct application for the design of automotive components. Several case studies have been considered, with the final application of the integrated framework on a high-performance V12 engine assembly, to achieve both functional targets and cost reduction. From a scientific point of view, the proposed methodology provides an improvement for the tolerance-cost optimization of industrial components. The integration of theoretical approaches and Computer-Aided tools allows to analyse the influence of tolerances on both product performance and manufacturing costs. The case studies proved the suitability of the methodology for its application in the industrial field, providing the identification of further areas for improvement and refinement.

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Nowadays, product development in all its phases plays a fundamental role in the industrial chain. The need for a company to compete at high levels, the need to be quick in responding to market demands and therefore to be able to engineer the product quickly and with a high level of quality, has led to the need to get involved in new more advanced methods/ processes. In recent years, we are moving away from the concept of 2D-based design and production and approaching the concept of Model Based Definition. By using this approach, increasingly complex systems turn out to be easier to deal with but above all cheaper in obtaining them. Thanks to the Model Based Definition it is possible to share data in a lean and simple way to the entire engineering and production chain of the product. The great advantage of this approach is precisely the uniqueness of the information. In this specific thesis work, this approach has been exploited in the context of tolerances with the aid of CAD / CAT software. Tolerance analysis or dimensional variation analysis is a way to understand how sources of variation in part size and assembly constraints propagate between parts and assemblies and how that range affects the ability of a project to meet its requirements. It is critically important to note how tolerance directly affects the cost and performance of products. Worst Case Analysis (WCA) and Statistical analysis (RSS) are the two principal methods in DVA. The thesis aims to show the advantages of using statistical dimensional analysis by creating and examining various case studies, using PTC CREO software for CAD modeling and CETOL 6σ for tolerance analysis. Moreover, it will be provided a comparison between manual and 3D analysis, focusing the attention to the information lost in the 1D case. The results obtained allow us to highlight the need to use this approach from the early stages of the product design cycle.