69 resultados para 1548

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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The aim of the study was to evaluate the production of four tomato cultivars of determinate growth, in the field, with and without ground cover. The cultivars examined were: 'AP-533', 'AP-529', 'Hypeel 5131 and 'PS-41816', which were cultivated with a spacing of 1 m between rows and 0.4 m between plants. The experimental design utilized was that of subdivided parcels, where parcels were provided with and without a ground cover of black polyethylene, and subparcels consisted of the cultivars; eight repetitions were used. The eight central plants in the parcel were evaluated according to the following characteristics: fresh weight of fruit per plant and number of fruit per plant, separated by size. For the classification of fruit, the same plants were divided into classes based on the diameter of the fruit. The diameter size was as follows: class 1, 3 cm; class II, 4 cm; class III, 4.5 cm; and class IV, 5.5 cm. The results showed that there were no significant differences in production among the cultivars studied. Cultivars 'AP-533' and 'Hypeel 513' demonstrated greater production per plant, when ground cover was used, yielding 1474 and 1404 g/plant, respectively. When black polyethylene ground cover was not used, these cultivars produced 1258 and 1271 g of fruit per plant, respectively. The cultivars 'AP-529' and 'PS41818' showed a greater yield of fruit when cultivated without ground cover, with 1548 and 1663 g/plant, respectively. The cultivar 'Hypeel 513' had the highest percentage of fruit with the largest dimensions. An interaction was appeared between 'AP-529' and ground cover, where the production of this cultivar was lower with black polyethylene ground cover compared to bare ground. It is concluded that there are no significant differences in the cultivation of the tomato hybrids 'AP-533', 'Hypeel 513' and 'PS-41816' with and without ground cover, but that the cultivar 'AP-529' should be planted preferentially in soil without black polyethylene cover.

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Molecular typing and virulence markers were used to evaluate the genetic profiles and virulence potential of 106 Yersinia enterocolitica strains. of these strains, 71 were bio-serotype 4/O: 3, isolated from human and animal clinical material, and 35 were of biotype 1 A or 2 and of diverse serotypes, isolated from food in Brazil between 1968 and 2000. Drug resistance was also investigated. All the strains were resistant to three or more drugs. The isolates showed a virulence-related phenotype in the aesculin, pyrazinamidase and salicin tests, except for the food isolates, only two of which were positive for these tests. For the other phenotypic virulence determinants (autoagglutination, Ca++ dependence and Congo red absorption), the strains showed a diverse behaviour. The inv, ail and ystA genes were detected in all human and animal strains, while all the food isolates were positive for inv, and 3% of them positive for ail and ystA. The presence of virF was variable in the three groups of strains. The strains were better discriminated by PFGE than by enterobacterial repetitive intergenic consensus PCR (ERIC-PCR). A higher genomic similarity was observed among the 4/O: 3 strains, isolated from human and animal isolates, than among the food strains, with the exception of two food strains possessing the virulence genes and grouped close to the 4/O: 3 strains by ERIC-PCR. Unusually, the results revealed the virulence potential of a bio-serotype 1 A/O: 10 strain, suggesting that food contaminated with Y. enterocolitica biotype 1 A may cause infection. This also suggests that ERIC-PCR may be used as a tool to reveal clues about the virulence potential of Y. enterocolitica strains. Furthermore, the results also support the hypothesis that animals may act as reservoirs of Y. enterocolitica for human infections in Brazil, an epidemiological aspect that has not been investigated in this country, confirming data from other parts of the world.

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This paper proposes a combined pool/bilateral short term hydrothermal scheduling model (PDC) for the context of the day-ahead energy markets. Some innovative aspects are introduced in the model, such as: i) the hydraulic generation is optimized through the opportunity cost function proposed; ii) there is no decoupling between physical and commercial dispatches, as is the case today in Brazil; iii) interrelationships between pool and bilateral markets are represented through a single optimization problem; iv) risk exposures related to future deficits are intrinsically mitigated; v) the model calculates spot prices in an hourly basis and the results show a coherent correlation between hydrological conditions and calculated prices. The proposed PDC model is solved by a primal-dual interior point method and is evaluated by simulations involving a test system. The results are focused on sensitivity analyses involving the parameters of the model, in such a way to emphasize its main modeling aspects. The results show that the proposed PDC provides a conceptual means for short term price formation for hydrothermal systems.

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In this paper an alternative method based on artificial neural networks is presented to determine harmonic components in the load current of a single-phase electric power system with nonlinear loads, whose parameters can vary so much in reason of the loads characteristic behaviors as because of the human intervention. The first six components in the load current are determined using the information contained in the time-varying waveforms. The effectiveness of this method is verified by using it in a single-phase active power filter with selective compensation of the current drained by an AC controller. The proposed method is compared with the fast Fourier transform.

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Objetivou-se, com este trabalho, avaliar os efeitos da adição de diferentes níveis de enzima mais levedura na dieta de bovinos sobre a digestibilidade aparente dos nutrientes e o desempenho em confinamento, utilizando-se 18 animais machos, mestiços, de origem leiteira, com peso vivo (PV) médio de 190±10 kg e 12 meses de idade, e 27 animais da raça Guzerá com PV médio de 325 kg e idade média de 27 meses. Os níveis de enzima mais levedura foram zero (controle), 5 g de enzima (E) mais 5 g de levedura (L) e 10 g de E mais 5 g de L por animal por dia. Todos os animais receberam a mesma dieta, constituída de 65% de silagem (50% de milho:50% de sorgo) e 35% de concentrado composto de milho (24,6%), farelo de algodão (7,4%), uréia (1,2%), sal mineralizado (0,54%) e calcário (0,86%). Esta dieta apresentava 12,4% de PB; 10,1 MJEM/kg MS e 41,1% de FDN. A adição de enzima mais levedura não alterou o consumo de MS (3,31% do PV ou 126,6 g/kg PV0,75), e CDA da MS (63,0%), PB (68,2%), EE (83,3%), CHOT (61,3%), FDN (47,2%), FDA (43,8%) e valor de NDT (62,8%). O GMD e o CMS diminuíram de forma quadrática e a CA alimentar piorou linearmente, em função dos dias de confinamento. O fornecimento de enzima mais levedura para bovinos de corte não traz benefícios nutricionais ou de desempenho.

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In this paper is shown the development of a transmission line, based on discrete circuit elements that provide responses directly in the time domain and phase. This model is valid for ideally transposed rows represent the phases of each of the small line segments are separated in their modes of propagation and the voltage and current are calculated at the modal field. However, the conversion phase-mode-phase is inserted in the state equations which describe the currents and voltages along the line of which there is no need to know the user of the model representation of the theory in the field lines modal.

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This paper shows the insertion of corona effect in a transmission line model based on lumped elements. The development is performed considering a frequency-dependent line representation by cascade of pi sections and state equations. Hence, the detailed profile of currents and voltages along the line, described from a non-homogeneous system of differential equations, can be obtained directly in time domain applying numerical or analytic solution integration methods. The corona discharge model is also based on lumped elements and is implemented from the well-know Skilling-Umoto Model.

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The objective of this paper is to show an alternative representation in time domain of a non-transposed three-phase transmission line decomposed in its exact modes by using two transformation matrices. The first matrix is Clarke's matrix that is real, frequency independent, easily represented in computational transient programs (EMTP) and separates the line into quasi-modes a, b and zero. After that, Quasi-modes a and zero are decomposed into their exact modes by using a modal transformation matrix whose elements can be synthesized in time domain through standard curve-fitting techniques. The main advantage of this alternative representation is to reduce the processing time because a frequency dependent modal transformation matrix of a three-phase line has nine elements to be represented in time domain while a modal transformation matrix of a two-phase line has only four elements. This paper shows modal decomposition process and eigenvectors of a non-transposed three-phase line with a vertical symmetry plane whose nominal voltage is 440 kV and line length is 500 km.

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This paper describes an alternative procedure to obtain an equivalent conductor from a bundled conductor, taking into account the distribution of the current in subcondutors of the bundle. Firstly, it is introduced a brief background about the concept of Geometric Mean Radius (GMR) and how this methodology is applied to define an equivalent conductor and its electric parameters. Emphasizing that the classical procedure, using GMR, is limited to premise which the current is equally distributed through subconductors. Afterwards, it is described the development of proposed method and applications for an equivalent conductor obtained from a conventional transmission line bundled conductor and from an equivalent conductor based on a bundle with compressed SF(6) insulation system, where the current is unequally distributed through subconductors.

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This work presents the application of a multiobjective evolutionary algorithm (MOEA) for optimal power flow (OPF) solution. The OPF is modeled as a constrained nonlinear optimization problem, non-convex of large-scale, with continuous and discrete variables. The violated inequality constraints are treated as objective function of the problem. This strategy allows attending the physical and operational restrictions without compromise the quality of the found solutions. The developed MOEA is based on the theory of Pareto and employs a diversity-preserving mechanism to overcome the premature convergence of algorithm and local optimal solutions. Fuzzy set theory is employed to extract the best compromises of the Pareto set. Results for the IEEE-30, RTS-96 and IEEE-354 test systems are presents to validate the efficiency of proposed model and solution technique.

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This article aims to analyze the impact of domestic politics and international changes that influence Brazilian positions regarding regional integration processes in South America, particularly the Southern Common Market, Mercosur. The dynamics of the international system and their impact on the evolution of the elite's perception of the role the country should play in the world are important variables for understanding these positions. The state's postures in relation to integration were and are based on a real interest, but this interest is also linked with the objective of ensuring better conditions for participation in other international arenas. Starting with the hypothesis that transformations in the international setting have strongly influenced Brazil's positioning, the elements of continuity and change in the country's behavior toward Mercosur are identified, with domestic politics as the main explanation.

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Computer systems are used to support breast cancer diagnosis, with decisions taken from measurements carried out in regions of interest (ROIs). We show that support decisions obtained from square or rectangular ROIs can to include background regions with different behavior of healthy or diseased tissues. In this study, the background regions were identified as Partial Pixels (PP), obtained with a multilevel method of segmentation based on maximum entropy. The behaviors of healthy, diseased and partial tissues were quantified by fractal dimension and multiscale lacunarity, calculated through signatures of textures. The separability of groups was achieved using a polynomial classifier. The polynomials have powerful approximation properties as classifiers to treat characteristics linearly separable or not. This proposed method allowed quantifying the ROIs investigated and demonstrated that different behaviors are obtained, with distinctions of 90% for images obtained in the Cranio-caudal (CC) and Mediolateral Oblique (MLO) views.