1000 resultados para Wolfram,Von Eschenbach, séc. XII.


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Silicon, shallow junction, rapid thermal doping, vapour phase doping, atomic-layer doping, phosphorus diffusion, phosphine adsorption, sheet resistance, four-point probe, native oxidation

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Anterior cruciate ligament; physical therapy; muscle function variables; longitudinal; m. quadriceps femoris; postoperative

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Mode stirred chamber, reverberation chamber, electromagnetic compatibility (EMC), statistical electromagnetics

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Heat transfer, inverse problem, spray cooling

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Phospholipase D2, delta-opioid receptor, mu-opioid recepter, endocytosis

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Electrical stimulation, neuron, yeast, excitation mechanism, planar electrode structure

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Solubility equilibria, stereoisomers, chiral systems, phase diagrams, calorimetry

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Bd. 1

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FRET, FLIM, living cells, hippocampal neurons, synapses, space and time resolved spectroscopy

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Background:The risk factors that characterize metabolic syndrome (MetS) may be present in childhood and adolescence, increasing the risk of cardiovascular disease in adulthood.Objective:Evaluate the prevalence of MetS and the importance of its associated variables, including insulin resistance (IR), in children and adolescents in the city of Guabiruba-SC, Brazil.Methods:Cross-sectional study with 1011 students (6–14 years, 52.4% girls, 58.5% children). Blood samples were collected for measurement of biochemical parameters by routine laboratory methods. IR was estimated by the HOMA-IR index, and weight, height, waist circumference and blood pressure were determined. Multivariate logistic regression models were used to examine the associations between risk variables and MetS.Results:The prevalence of MetS, IR, overweight and obesity in the cohort were 14%, 8.5%, 21% and 13%, respectively. Among students with MetS, 27% had IR, 33% were overweight, 45.5% were obese and 22% were eutrophic. IR was more common in overweight (48%) and obese (41%) students when compared with eutrophic individuals (11%; p = 0.034). The variables with greatest influence on the development of MetS were obesity (OR = 32.7), overweight (OR = 6.1), IR (OR = 4.4; p ≤ 0.0001 for all) and age (OR = 1.15; p = 0.014).Conclusion:There was a high prevalence of MetS in children and adolescents evaluated in this study. Students who were obese, overweight or insulin resistant had higher chances of developing the syndrome.

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Hardware-Software Co-Design, Simulated Annealing, Real-Time Image Processing, Automated Hardware-Software Partitioning

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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2007

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Fuel cell, PEM fuel cell, Network theory, Computer aided modelling, Nonlinear analysis