987 resultados para duplo delta
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The problem of bound states in a double delta potential is revisited by means of Fourier sine and cosine transforms.
Uso de probióticos em crianças HIV positivas : um ensaio clínico randomizado duplo cego (controlado)
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Introdução: AIDS é uma infecção caracterizada pela disfunção das células imunes - imunodeficiência, e freqüente disfunção intestinal. Probióticos, suplemento alimentar microbiano vivo, que afeta beneficamente o animal hospedeiro através do balanço da microflora intestinal e promoção de efeitos benéficos à saúde. Objetivos: determinar a resposta imunológica (CD4 cels/mm3) e diminuir os episódios de fezes líquidas. Metodologias: estudo randomizado duplo-cego controlado, com crianças infectadas pelo vírus HIV (2 - 12 anos), divididas em dois grupos – um recebendo probióticos (fórmula contendo Bifidobacterium bifidum e Streptococcus thermophilus – 2,5x1010 ufc) e, o outro, fórmula padrão (grupo controle). Os valores de CD4 foram coletados no início e término do estudo. A consistência e o número de episódios de fezes foram acessados através de um questionário, e duas amostras de fezes foram coletadas para cultura de Cândida. Resultados: observamos aumento da media de células totais de CD4 no grupo (791 cels/mm3), e um pequeno declínio no grupo controle (538 cels/mm3); a diferença das médias foi de 118 cels/mm3 vs. -42 cels/mm3 (p 0.049), analisado estatisticamente pelo delta de logaritmo base 10 do CD4 log10. Observamos uma redução na freqüência de fezes líquidas semelhante nos dois grupos (p 0,06), porém com leve melhora no grupo probiótico, porém sem diferença estatística (p 0,522). Também houve uma leve diminuição da freqüência de fezes pastosa (p 0,955), bem como um aumento na freqüência de fezes normais nos dois grupos (p 0.01). Conclusão: Nosso estudo mostrou as propriedades imunomodulatórias dos probióticos, e que estes podem ser úteis para auxiliar no tratamento de crianças infectadas pelo HIV.
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In this study, the authors propose a novel video stabilisation algorithm for mobile platforms with moving objects in the scene. The quality of videos obtained from mobile platforms, such as unmanned airborne vehicles, suffers from jitter caused by several factors. In order to remove this undesired jitter, the accurate estimation of global motion is essential. However it is difficult to estimate global motions accurately from mobile platforms due to increased estimation errors and noises. Additionally, large moving objects in the video scenes contribute to the estimation errors. Currently, only very few motion estimation algorithms have been developed for video scenes collected from mobile platforms, and this paper shows that these algorithms fail when there are large moving objects in the scene. In this study, a theoretical proof is provided which demonstrates that the use of delta optical flow can improve the robustness of video stabilisation in the presence of large moving objects in the scene. The authors also propose to use sorted arrays of local motions and the selection of feature points to separate outliers from inliers. The proposed algorithm is tested over six video sequences, collected from one fixed platform, four mobile platforms and one synthetic video, of which three contain large moving objects. Experiments show our proposed algorithm performs well to all these video sequences.
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The multi-criteria decision making methods, Preference METHods for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA), and the two-way Positive Matrix Factorization (PMF) receptor model were applied to airborne fine particle compositional data collected at three sites in Hong Kong during two monitoring campaigns held from November 2000 to October 2001 and November 2004 to October 2005. PROMETHEE/GAIA indicated that the three sites were worse during the later monitoring campaign, and that the order of the air quality at the sites during each campaign was: rural site > urban site > roadside site. The PMF analysis on the other hand, identified 6 common sources at all of the sites (diesel vehicle, fresh sea salt, secondary sulphate, soil, aged sea salt and oil combustion) which accounted for approximately 68.8 ± 8.7% of the fine particle mass at the sites. In addition, road dust, gasoline vehicle, biomass burning, secondary nitrate, and metal processing were identified at some of the sites. Secondary sulphate was found to be the highest contributor to the fine particle mass at the rural and urban sites with vehicle emission as a high contributor to the roadside site. The PMF results are broadly similar to those obtained in a previous analysis by PCA/APCS. However, the PMF analysis resolved more factors at each site than the PCA/APCS. In addition, the study demonstrated that combined results from multi-criteria decision making analysis and receptor modelling can provide more detailed information that can be used to formulate the scientific basis for mitigating air pollution in the region.
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For several reasons, the Fourier phase domain is less favored than the magnitude domain in signal processing and modeling of speech. To correctly analyze the phase, several factors must be considered and compensated, including the effect of the step size, windowing function and other processing parameters. Building on a review of these factors, this paper investigates a spectral representation based on the Instantaneous Frequency Deviation, but in which the step size between processing frames is used in calculating phase changes, rather than the traditional single sample interval. Reflecting these longer intervals, the term delta-phase spectrum is used to distinguish this from instantaneous derivatives. Experiments show that mel-frequency cepstral coefficients features derived from the delta-phase spectrum (termed Mel-Frequency delta-phase features) can produce broadly similar performance to equivalent magnitude domain features for both voice activity detection and speaker recognition tasks. Further, it is shown that the fusion of the magnitude and phase representations yields performance benefits over either in isolation.
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Sigma-delta modulated systems have a number of very appealing properties and are, therefore, heavily used in analog to digital converters, amplifiers, and modulators. This paper presents new results which indicate that they may also have significant potential for general purpose arithmetic processing.