949 resultados para Time correlation function


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Neste trabalho, buscou-se avaliar se o uso do balão intragástrico (BI) durante um período de seis meses por pacientes obesos ou com sobrepeso e com síndrome metabólica (SM) traz melhora nos parâmetros de função pulmonar, distribuição da gordura corporal e SM. Trata-se de um estudo longitudinal e intervencionista com indivíduos adultos que foram submetidos à avaliação antropométrica, da bioquímica sérica, dos parâmetros de função pulmonar e do padrão de distribuição da gordura corporal, antes da instalação do BI, durante o acompanhamento de seis meses e após a sua retirada. Nos dados obtidos três meses após a colocação do BI, os pacientes apresentaram aumento da capacidade de difusão ao monóxido de carbono com correlação positiva entre esta e o percentual total de gordura corporal (rs=0,39; p=0,05), o padrão ginoide (rs=0,41; p=0,05) e o padrão torácico (rs=0,42; p=0,01). Também foi observado que, após três meses da colocação do BI, houve redução significativa do índice de massa corpórea (IMC) (p=0,0001) e da força muscular inspiratória (p=0,009). Também houve aumento significativo da capacidade vital forçada (CVF) (p=0,0001), da capacidade pulmonar total (CPT) (p=0,001) e do volume de reserva expiratório (VRE) (p=0,0001). Ao fim do estudo, foi observada elevação estatisticamente significante da CPT (p=0,0001), capacidade residual funcional (p=0,0001), volume residual (VR) (p=0,0005) e VRE (p=0,0001). Também foi observada redução significativa do IMC, cuja mediana passou de 39,1 kg/m2 no início da avaliação para 34,5 kg/m2 no final dos seis meses (p=0,0001). Ao fim do estudo, 31 pacientes (77,5%) não apresentavam mais critérios diagnósticos para SM. Em relação aos parâmetros de distribuição da gordura corporal, também houve mudanças importantes com redução significante (p=0,0001) do percentual de gordura nos quatro padrões analisados (tronco, androide, ginoide e total). Houve correlação significante entre o delta da CPT e o delta da circunferência abdominal (ρ=-0,34; p=0,03), entre o delta da CRF e o delta do IMC (ρ=-0,39; p=0,01) e entre o delta do VRE e os deltas do IMC (ρ=-0,44; p=0,005) e do colesterol HDL (ρ=-0,37; p=0,02). Também houve correlação significante entre o delta do VRE com os deltas das gorduras de tronco (ρ=-0,51; p=0,004), androide (ρ=-0,46; p=0,01), ginoide (ρ=-0,55; p=0,001) e total (ρ=-0,59; p=0,0005).

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A elaboração de um programa de treinamento físico depende do controle de diferentes parâmetros bioquímicos, que se relacionam com fatores como a intensidade do exercício, imunidade e com o estado redox. Além disso, estudos recentes também começaram a apontar a relevância da função executiva como componente determinante para o alcance de um alto nível de desempenho esportivo. Por outro lado, poucos estudos foram realizados em atletas até o momento utilizando estes marcadores na saliva juntamente com os testes de função cognitiva. O objetivo desse trabalho foi estudar a capacidade discriminatória das análises bioquímicas realizadas em saliva para avaliação do desempenho físico e sua relação com a função cognitiva em atletas de futebol. Trinta e dois atletas foram submetidos ao Bangsbo Sprint Test (BST) para avaliação da capacidade física e 48 horas depois ao Teste de Stroop (TSt) e Torre de Hanoi (ToH) para avaliação da função executiva. Os níveis de lactato na saliva aumentaram quando comparados aos valores Pré-BST (6,9 vezes; p<0,05). A proteína total salivar seguiu o mesmo padrão com aumento observado após o BST (+34%; p<0,05). As concentrações de imunoglobulina-A salivar (IgA-s) não mostraram diferença significativa após o BST. Os níveis de GSH e TBARs na saliva não mostraram diferença significativa, enquanto que a concentração de ácido úrico diminuiu após o BST (-26%; p<0,05). Interessantemente, a superóxido dismutase (SOD) salivar aumentou (3,6 vezes; p<0,05), enquanto que os níveis de catalase (CAT) na saliva não alteraram significativamente. Não houve correlação de nenhum dos parâmetros analisados com o desempenho no TSt, entretanto atletas localizados no percentil superior (P90) de cortisol na saliva (11,2 ng/ mL à 32,7 ng/ mL) apresentaram tempos mais longos para a resolução do ToH. A eletroforese 2D mostrou que 215 spots só apareceram no momento Pré-BST, 63 spots aumentaram e 108 diminuíram a sua expressão após o BST. Concluindo, a saliva é sensível às modificações induzidas pelo BST. A manutenção dos níveis salivares de TBARs após o BST parece ocorrer em função da diminuição dos níveis de ácido úrico, componente este que possui uma expressiva ação antioxidante. Neste sentido, o aumento de SOD pós-exercício parece agir como uma segunda linha de defesa antioxidante contra a produção de ROS induzidas pelo BST. Além disso, os resultados dos testes de função executiva indicam que níveis elevados de cortisol salivar possuem um efeito deletério no tempo de resolução da ToH, que se refere à memória de trabalho, o planejamento e solução de problemas. No entanto o TSt, que envolve a atenção seletiva e a velocidade de processamento de informações parecem não ser afetados pelos níveis de cortisol em repouso. E finalmente, a eletroforese 2D mostrou que o BST induziu a expressão diferencial de proteínas, visto que não surgiram proteínas novas após o teste, e dezenas de proteínas foram up-reguladas e down-reguladas após o BST. Estes dados sugerem que após uma análise proteômica, estas proteínas possam ser candidatas a marcadores de desempenho físico e/ou cognitivo em futuros estudos.

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EXTRACT (SEE PDF FOR FULL ABSTRACT): Streamflow values show definite seasonal patterns in their month-to-month correlation structure. The structure also seems to vary as a function of the type of stream (coastal versus mountain or humid versus arid region). The standard autoregressive moving average (ARMA) time series model is incapable of reproducing this correlation structure. ... A periodic ARMA time series model is one in which an ARMA model is fitted to each month or season but the parameters of the model are constrained to be periodic according to a Fourier series. This constraint greatly reduces the number of parameters but still leaves the flexibility for matching the seasonally varying correlograms.

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MOTIVATION: Synthetic lethal interactions represent pairs of genes whose individual mutations are not lethal, while the double mutation of both genes does incur lethality. Several studies have shown a correlation between functional similarity of genes and their distances in networks based on synthetic lethal interactions. However, there is a lack of algorithms for predicting gene function from synthetic lethality interaction networks. RESULTS: In this article, we present a novel technique called kernelROD for gene function prediction from synthetic lethal interaction networks based on kernel machines. We apply our novel algorithm to Gene Ontology functional annotation prediction in yeast. Our experiments show that our method leads to improved gene function prediction compared with state-of-the-art competitors and that combining genetic and congruence networks leads to a further improvement in prediction accuracy.

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We present a method to integrate environmental time series into stock assessment models and to test the significance of correlations between population processes and the environmental time series. Parameters that relate the environmental time series to population processes are included in the stock assessment model, and likelihood ratio tests are used to determine if the parameters improve the fit to the data significantly. Two approaches are considered to integrate the environmental relationship. In the environmental model, the population dynamics process (e.g. recruitment) is proportional to the environmental variable, whereas in the environmental model with process error it is proportional to the environmental variable, but the model allows an additional temporal variation (process error) constrained by a log-normal distribution. The methods are tested by using simulation analysis and compared to the traditional method of correlating model estimates with environmental variables outside the estimation procedure. In the traditional method, the estimates of recruitment were provided by a model that allowed the recruitment only to have a temporal variation constrained by a log-normal distribution. We illustrate the methods by applying them to test the statistical significance of the correlation between sea-surface temperature (SST) and recruitment to the snapper (Pagrus auratus) stock in the Hauraki Gulf–Bay of Plenty, New Zealand. Simulation analyses indicated that the integrated approach with additional process error is superior to the traditional method of correlating model estimates with environmental variables outside the estimation procedure. The results suggest that, for the snapper stock, recruitment is positively correlated with SST at the time of spawning.

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We have investigated a resonant refractive nonlinearity in a semiconductor waveguide by measuring intensity dependent phase shifts and bias-dependent recovery times. The measurements were performed on an optimized 750-μm-long AR coated buried heterostructure MQW p-i-n waveguide with a bandedge at 1.48 μm. Figure 1 shows the experimental arrangement. The mode-locked color center laser was tuned to 50 meV beyond the bandedge and 8 ps pulses with peak incident power up to 57 W were coupled into the waveguide. Some residual bandtail absorption remains at this wavelength and this is sufficient to cause carriers to be photogenerated and these give rise to a refractive nonlinearity, predominantly by plasma and bandfilling effects. A Fabry-Perot interferometer is used to measure the spectrum of the light which exits the waveguide. The nonlinearity within the guide causes self phase modulation (SPM) of the light and a study of the spectrum allows information to be recovered on the magnitude and recovery time of the nonlinear phase shift with a reasonable degree of accuracy. SPM spectra were recorded for a variety of pulse energies coupled into he unbiased waveguide. Figure 2 shows the resultant phase shift measured from the SPM spectra as a function of pulse energy. The relationship is a linear one, indicating that no saturation of the nonlinearity occurs for coupled pulse energies up to 230 pJ. A π phase shift, the minimum necessary for an all-optical switch, is obtained for a coupled pulse energy of 57 pJ while the maximum phase shift, 4 π, was measured for 230 pJ. The SPM spectra were highly asymmetric with pulse energy shifted to higher frequencies. Such spectra are characteristic of a slow, negative nonlinearity. This relatively slow speed is expected for the unbiased guide as the recovery time will be of the order of the recombination time of the photogenerated electrons, about 1 ns for InGaAsP material. In order to reduce the recovery time of the nonlinearity, it is necessary to remove the photogenerated carriers from the waveguide by a process other than recombination. One such technique is to apply a reverse bias to the waveguide in order to sweep the carriers out. Figure 3 shows the effect on the recovery time of the nonlinearity of applying reverse bias to the waveguide for 230 pJ coupled power. The recovery time was reduced from one much longer than the length of the pulse, estimated to be about 1 ns, at zero bias to 18 ± 3 ps for a bias voltage greater than -4 V. This compares with a value of 24 ps obtained in a bulk waveguide.

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Spherical indentation creep testing was used to examine the effect of hydration state on bone mechanical properties. Analysis of creep data was based on the elastic-viscoelastic correspondence principle and utilized a direct solution for the finite loading-rate experimental conditions. The zero-time shear modulus was computed from the creep compliance function and compared to the indentation modulus obtained via conventional indentation analysis, based on an elastic unloading response. The method was validated using a well-known polymer material under three different loading conditions. The method was applied to bone samples prepared with different water content by partial exchange with ethanol, where 70% ethanol was considered as the baseline condition. A hydration increase was associated with a 43% decrease in stiffness, while a hydration decrease resulted in a 20% increase in bone tissue stiffness.

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Bone is an anisotropic material, and its mechanical properties are determined by its microstructure as well as its composition. Mechanical properties of bone are a consequence of the proportions of, and the interactions between, mineral, collagen and water. Water plays an important role in maintaining the mechanical integrity of the composite, but the manner in which water interacts within the ultrastructure is unclear. Dentine being an isotropic two-dimensional structure presents a homogenous composite to examine the dehydration effects. Nanoindentation methods for determining the viscoelastic properties have recently been developed and are a subject of great interest. Here, one method based on elastic-viscoelastic correspondence for 'ramp and hold' creep testing (Oyen, J. Mater. Res., 2005) has been used to analyze viscoelastic behavior of polymeric and biological materials. The method of 'ramp and hold' allows the shear modulus at time zero to be determined from fitting of the displacement during the maximum load hold. Changes in the viscoelastic properties of bone and dentine were examined as the material was systematically dehydrated in a series of water:solvent mixes. Samples of equine dentine were sectioned and cryo-polished. Shear modulus was obtained by nanoindentation using spherical indenters with a maximum load hold of 120s. Samples were tested in different solvent concentrations sequentially, 70% ethanol to 50% ethanol, 70 % ethanol to 100% ethanol, 70% ethanol to 70% methanol to 100% methanol, and 70% ethanol to 100% acetone, after storage in each condition for 24h. By selectively removing and then replacing water from the composite, insights in to the ultrastructure of the tissue can be gained from the corresponding changes in the experimentally determined moduli, as well as an understanding of the complete reversibility of the dehydration process. © 2006 Materials Research Society.

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Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (VTS) compensation, which uses a linear approximation to represent the influence of noise on the clean speech. To compensate the dynamic parameters, the continuous time approximation is often used. This approximation uses a point estimate of the gradient, which fails to take into account that dynamic coefficients are a function of a number of consecutive static coefficients. In this paper, the accuracy of dynamic parameter compensation is improved by representing the dynamic features as a linear transformation of a window of static features. A modified version of VTS compensation is applied to the distribution of the window of static features and, importantly, their correlations. These compensated distributions are then transformed to distributions over standard static and dynamic features. With this improved approximation, it is also possible to obtain full-covariance corrupted speech distributions. This addresses the correlation changes that occur in noise. The proposed scheme outperformed the standard VTS scheme by 10% to 20% relative on a range of tasks. © 2006 IEEE.

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A receding horizon steering controller is presented, capable of pushing an oversteering nonlinear vehicle model to its handling limit while travelling at constant forward speed. The controller is able to optimise the vehicle path, using a computationally efficient and robust technique, so that the vehicle progression along a track is maximised as a function of time. The resultant method forms part of the solution to the motor racing objective of minimising lap time. © 2011 AACC American Automatic Control Council.

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The autonomous pathway functions to promote flowering in Arabidopsis by limiting the accumulation of the floral repressor FLOWERING LOCUS C (FLC). Within this pathway FCA is a plant-specific, nuclear RNA-binding protein, which interacts with FY, a highly conserved eukaryotic polyadenylation factor. FCA and FY function to control polyadenylation site choice during processing of the FCA transcript. Null mutations in the yeast FY homologue Pfs2p are lethal. This raises the question as to whether these essential RNA processing functions are conserved in plants. Characterisation of an allelic series of fy mutations reveals that null alleles are embryo lethal. Furthermore, silencing of FY, but not FCA, is deleterious to growth in Nicotiana. The late-flowering fy alleles are hypomorphic and indicate a requirement for both intact FY WD repeats and the C-terminal domain in repression of FLC. The FY C-terminal domain binds FCA and in vitro assays demonstrate a requirement for both C-terminal FY-PPLPP repeats during this interaction. The expression domain of FY supports its roles in essential and flowering-time functions. Hence, FY may mediate both regulated and constitutive RNA 3'-end processing.

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To support the development and analysis of engineering designs at the embodiment stage, designers work iteratively with representations of those designs as they consider the function and form of their constituent parts. Detailed descriptions of "what a machine does" usually include flows of forces and active principles within the technical system, and their localization within parts and across the interfaces between them. This means that a representation should assist a designer in considering form and function at the same time and at different levels of abstraction. This paper describes a design modelling approach that enables designers to break down a system architecture into its subsystems and parts, while assigning functions and flows to parts and the interfaces between them. In turn, this may reveal further requirements to fulfil functions in order to complete the design. The approach is implemented in a software tool which provides a uniform, computable language allowing the user to describe functions and flows as they are iteratively discovered, created and embodied. A database of parts allows the user to search for existing design solutions. The approach is illustrated through an example: modelling the complex mechanisms within a humanoid robot. Copyright © 2010 by ASME.

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To calculate the noise emanating from a turbulent flow using an acoustic analogy knowledge concerning the unsteady characteristics of the turbulence is required. Specifically, the form of the turbulent correlation tensor together with various time and length-scales are needed. However, if a Reynolds Averaged Navier-Stores calculation is used as the starting point then one can only obtain steady characteristics of the flow and it is necessary to model the unsteady behavior in some way. While there has been considerable attention given to the correct way to model the form of the correlation tensor less attention has been given to the underlying physics that dictate the proper choice of time-scale. In this paper the authors recognize that there are several time dependent processes occurring within a turbulent flow and propose a new way of obtaining the time-scale. Isothermal single-stream flow jets with Mach numbers 0.75 and 0.90 have been chosen for the present study. The Mani-Gliebe-Balsa-Khavaran method has been used for prediction of noise at different angles, and there is good agreement between the noise predictions and observations. Furthermore, the new time-scale has an inherent frequency dependency that arises naturally from the underlying physics, thus avoiding supplementary mathematical enhancements needed in previous modeling.

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Provisioning along pedestrian trails by tourists much increased the nutrient quality and patchiness of food (NqPF)for Tibetan macaques (Macaca thibetana) at Mt Emei in spring and summer. In the habitat at a temperate-subtropical transition zone, the mncaque's NqPF could be ordered in a decreasing rank from spring summer to autumn to winter With the aid of a radio-tracking system, I collected ranging data on a multigroup community in three 70-day periods representing the different seasons in 1991-92, Rank-order correlation on the data show that with the decline of NqPF; the groups tended to increase days away from the trail, their effective range size (ERS) their exclusive area (EA) and the number of days spent in the EA, and reduced their group/community density and the ratio of the overlapped range to the seasonal range (ROR). In icy/snowy winter; the macaques searched for mature leaves slowly and carefully in the largest seasonal range with a considerable portion that was nor used in other seasons. Of the responses, the ROR decreased with the reduction in group/community density; and the ERS was the function of both group size (+) and intergroup rank (-) when favorite food was highly clumped. All above responses were clearly bound to maximize foraging effectiveness and minimize energy expenditure, and their integration in term of changes in time and space leads to better understanding macaque ecological adaptability. Based on this study and previous work on behavioral and physiological factors, I suggest a unifying theory of intergroup interactions. Ir! addition, as the rate of behavioral interactions,was also related to the group density, I Waser's (1976) gas model probably applies to behavioral, as well as spatial, data on intergroup interactions.

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This work addresses the problem of deriving F0 from distanttalking speech signals acquired by a microphone network. The method here proposed exploits the redundancy across the channels by jointly processing the different signals. To this purpose, a multi-microphone periodicity function is derived from the magnitude spectrum of all the channels. This function allows to estimate F0 reliably, even under reverberant conditions, without the need of any post-processing or smoothing technique. Experiments, conducted on real data, showed that the proposed frequency-domain algorithm is more suitable than other time-domain based ones.