977 resultados para Darracott, Risdon, 1716-1759.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Um experimento foi conduzido para avaliar a influência de fatores antinutricionais de alguns alimentos sobre o epitélio intestinal e o desempenho de frangos de corte. Foram utilizados 480 pintos de um dia de idade, em um delineamento inteiramente casualizado com quatro tratamentos (A = ração testemunha à base de milho e soja; B = ração contendo Leucaena leucocephala - 6% [LL]; C = ração contendo Leucaena cunningan - 6% [LC] e D = ração contendo feijão guandu - Cajanus cajan - 20% [CC]), quatro repetições e 30 aves por unidade experimental. Houve redução de ganho de peso e aumento da conversão alimentar com a utilização de LL e LC, no período de 1a 21 e de 1a 42 dias de idade. Aos 21 dias de idade, observou-se aumento no tamanho dos vilos do jejuno e na relação vilo:cripta do jejuno e íleo, nas aves que receberam LC. Houve aumento significativo (P<0,05) das células caliciformes no duodeno e jejuno em aves de todos os tratamentos e apenas LL e LC aumentaram as células caliciformes do íleo. Aos 42 dias de idade, houve aumento no número de células caliciformes causado por CC no duodeno e por LL, LC e CC no íleo. O consumo de ração e a profundidade de cripta não foram influenciados. A alteração da morfologia da vilosidade do jejuno, bem como a alteração na relação vilo:cripta no período inicial, influenciou negativamente o ganho de peso e a conversão alimentar nos períodos inicial e total.
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Com o objetivo de determinar a biodisponibilidade de duas fontes de lisina (lisina HCl e lisina sulfato), por intermédio de um ensaio de crescimento, foram alojados em um galpão de alvenaria com 56 boxes 840 pintos de corte machos com um dia de idade. Duas dietas basais foram formuladas para atender as exigências nutricionais das aves nas fases inicial e crescimento, deficientes apenas em lisina e suplementadas em 0,08; 0,16; e 0,24% pelas duas fontes de lisina. As variáveis avaliadas foram: ganho de peso, consumo de ração, conversão alimentar, rendimento de carcaça, rendimento de perna, rendimento de peito, rendimento de filé e porcentagem de gordura abdominal. Com os dados obtidos foram estimadas equações de regressão linear múltipla e, usando os coeficientes de regressão destas, foi determinada a biodisponibilidade da lisina sulfato em relação a lisina HCl, padronizada como 100% disponível. As equações obtidas que melhor estimaram a biodisponibilidade das lisinas foram Y = 544,72 + 439,62 X1 + 475,84 X2, R² = 0,90, para ganho de peso de 01 a 21 dias de idade, Y = 1824,63 + 1469,18 X1 + 1381,33 X2, R² = 0,85, para ganho de peso de 01 a 42 dias de idade, Y = 1,9623 - 0,9043X1--1,0235 X2, R² = 0,83, para conversão alimentar de 01 a 21 dias de idade, Y = 0,3766 + 0,5320 X1 + 0,4986 X2, R² = 0,88, para peso de peito aos 42 dias de idade e Y = 0,2565 + 0,4685X1 + 0,4300 X2, R² = 0,92, para peso de filé de peito aos 42 dias de idade das aves. A biodisponibilidade média encontrada para a Lisina Sulfato foi de 100,19%, mostrando não haver diferença significativa na biodisponibilidade das lisinas testadas.
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By using the long-wavelength approximation, a system of coupled evolution equations for the bulk velocity and the surface perturbations of a Benard-Marangoni system is obtained. It includes nonlinearity, dispersion, and dissipation, and it can be interpreted as a dissipative generalization of the usual Boussinesq system of equations. As a particular case, a strictly dissipative version of the Boussinesq system is obtained.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Aim: In the present study, we assessed the role of 5-hydroxytryptamine (5-HT) receptors (5-HT1A, 5-HT2 and 5-HT7) in the nucleus raphe magnus (NRM) on the ventilatory and thermoregulatory responses to hypoxia.Methods: To this end, pulmonary ventilation (V-E) and body temperature (T-b) of male Wistar rats were measured in conscious rats, before and after a 0.1 mu L microinjection of WAY-100635 (5-HT1A receptor antagonist, 3 mu g 0.1 mu L-1, 56 mM), ketanserin (5-HT2 receptor antagonist, 2 mu g 0.1 mu L-1, 36 mM) and SB269970 (5-HT7 receptor antagonist, 4 mu g 0.1 mu L-1, 103 mM) into the NRM, followed by 60 min of severe hypoxia exposure (7% O-2).Results: Intra-NMR microinjection of vehicle (control rats) or 5-HT antagonists did not affect V-E or T-b during normoxic conditions. Exposure of rats to 7% O-2 evoked a typical hypoxia-induced anapyrexia after vehicle microinjections, which was not affected by microinjection of WAY-100635, SB269970 or ketanserin. The hypoxia-induced hyperpnoea was not affected by SB269970 and ketanserin intra-NMR. However, the treatment with WAY-100635 intra-NRM attenuated the hypoxia-induced hyperpnoea.Conclusion: These data suggest that 5-HT acting on 5-HT1A receptors in the NRM increases the hypoxic ventilatory response.
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This work presents the design and procedure of a DC-to-AC converter using a ZVS Commutation Cell developed by Barbi and Martins (1991) and applied to the family of DC-to-DC PWM converters. Firstly, we show the cell applied to buck converter. The stages of operation and the main current and voltage equations of the resonant devices are presented. Next, we adapt the converter to the regenerative operation mode. Hence, the full bridge converter at low frequency operation is conected on the DC-to-DC stage (at high frequency) output ends (Seixas, 1993). Commutation of zero voltage for all switches, PWM at constant frequency and neither overvoltage nor additional current stress are observed by digital simulation. The design example and experimental results obtained by prototype rated at 275 V, 1 kW and 40 kHz are also presented.
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This paper presents a methodology for solving a set of linear sparse equations on vector computers. The new methodology is able to exploit the matrix and vector sparsities. The implementation was made on a CRAY Y-MP 2E/232 computer and the results were taken from electric power systems with 118, 320, 725 and 1729 buses. The proposed methodology was compared with three previous methods and the results show the superior performance of the new one.
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This work presents an algorithm for the security control of electric power systems using control actions like generation reallocation, determined by sensitivity analysis (linearized model) and optimization by neural networks. The model is developed taking into account the dynamic network aspects. The preventive control methodology is developed by means of sensitivity analysis of the security margin related with the mechanical power of the system synchronous machines. The reallocation power in each machine is determined using neural networks. The neural network used in this work is of Hopfield type. These networks are dedicated electric circuits which simulate the constraint set and the objective function of an optimization problem. The advantage of using these networks is the higher speed in getting the solutions when compared to conventional optimization algorithms due to the great convergence rate of the process and the facility of the method parallelization. Then, the objectives are: formulate and investigate these networks implementations in determining. The generation reallocation in digital computers. Aiming to illustrate the proposed methodology an application considering a multi-machine system is presented.
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The problem of dynamic camera calibration considering moving objects in close range environments using straight lines as references is addressed. A mathematical model for the correspondence of a straight line in the object and image spaces is discussed. This model is based on the equivalence between the vector normal to the interpretation plane in the image space and the vector normal to the rotated interpretation plane in the object space. In order to solve the dynamic camera calibration, Kalman Filtering is applied; an iterative process based on the recursive property of the Kalman Filter is defined, using the sequentially estimated camera orientation parameters to feedback the feature extraction process in the image. For the dynamic case, e.g. an image sequence of a moving object, a state prediction and a covariance matrix for the next instant is obtained using the available estimates and the system model. Filtered state estimates can be computed from these predicted estimates using the Kalman Filtering approach and based on the system model parameters with good quality, for each instant of an image sequence. The proposed approach was tested with simulated and real data. Experiments with real data were carried out in a controlled environment, considering a sequence of images of a moving cube in a linear trajectory over a flat surface.
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A comparative evaluation regarding a new zero-current-switching (ZCS) pulse width modulated (PWM) Sepic rectifier, operating in voltage step-down mode, employing two different techniques, in order to obtain high power factor and reduced total harmonic distortion (THD) at the input current, is presented. The methods are those in continuous-current mode operation, known as peak current mode control with slope compensation, and average-current mode control. The principle of operation, the theoretical analysis, a design example and the main experimental results are presented for both proposed control techniques.
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Network reconfiguration in distribution systems can be carried out by changing the status of sectionalizing switches and it is usually done for loss minimization and load balancing. In this paper it is presented an heuristic algorithm that accomplishes network reconfiguration for operation planning in order to obtain a configuration set whose configurations have the smallest active losses on its feeders. To obtain the configurations, it is used an approached radial load flow method and an heuristic proceeding based on maximum limit of voltage drop on feeders. Results are presented for three hypothetical systems largely known whose data are available in literature and a real system with 135 busses. In addition, it is used a fast and robust load flow which decreases the computational effort.
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Relaxed conditions for the stability study of nonlinear, continuous and discrete-time systems given by fuzzy models are presented. A theoretical analysis shows that the proposed method provides better or at least the same results of the methods presented in the literature. Digital simulations exemplify this fact. These results are also used for the fuzzy regulators design. The nonlinear systems are represented by the fuzzy models proposed by Takagi and Sugeno. The stability analysis and the design of controllers are described by LMIs (Linear Matrix Inequalities), that can be solved efficiently by convex programming techniques. The specification of the decay rate, constraints on control input and output are also described by LMIs. Finally, the proposed design method is applied in the control of an inverted pendulum.
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Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with feedback connections provide a computing model capable of solving a large class of optimization problems. This paper presents a novel approach for solving dynamic programming problems using artificial neural networks. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points which represent solutions (not necessarily optimal) for the dynamic programming problem. Simulated examples are presented and compared with other neural networks. The results demonstrate that proposed method gives a significant improvement.