1,712 research outputs found

    Quantum state tomography and quantum logical operations in a three qubits NMR quadrupolar system

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    In this work, we present an implementation of quantum logic gates and algorithms in a three effective qubits system, represented by a (I = 7/2) NMR quadrupolar nuclei. To implement these protocols we have used the strong modulating pulses (SMP). The various stages of each implementation were verified by quantum state tomography (QST). It is presented here the results for the computational base states, Toffolli logic gates, and Deutsch-Jozsa and Grover algorithms. Also, we discuss the difficulties and advantages of implementing such protocols using the SMP technique in quadrupolar systems.Comment: 24 pages, 8 figure

    Modeling applied to sowing date of irrigated maize.

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    In Brazil, the rainfed maize crop may undergo yield breaks due to uncertainties in the rainfall distribution. Irrigation can be a management alternative that, however, requires evaluation and planning to be helpful. The objective of this work was to analyze the simulated yield data of irrigated maize in counties of Minas Gerais state, Brazil. The CSM-CERES-Maize model was used to simulated weekly sowings of maize considering optimum agronomic conditions. A sprinkler irrigation scheme with 80% efficiency was used with automatic applications when the crop withdrew 50% of the soil available water. The harvest was scheduled to happen automatically when the crop had reached physiological maturity. The results were statistically analyzed for each county, based on goodness of fit test, ANOVA, Tukey?s test and risk analysis (stochastic dominance). The most promising sowing period was from January 16 to March 27 for all locations, except for Janaúba, for which the best sowing window was from November 14 to January 2. The treatments of highest average simulated maize yield stochastically dominated the other treatments evaluated. The CSM-CERES-Maize model proved to be a useful tool to help making decision in irrigated maize crop systems

    Exigências em energia e proteína líquida para ovelhas da raça Santa Inês em lactação.

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    Objetivou-se determinar as necessidades de proteína e energia líquida de ovelhas em lactação submetidas a dois manejos nutricionais na gestação e dois tipos de gestação. Os ensaios experimentais foram conduzidos nas instalações do Laboratório de Metabolismo e Calorimetria Animal do Departamento de Zootecnia da Escola de Veterinária da UFMG. Foram utilizadas 28 ovelhas da raça Santa Inês, em um delineamento experimental inteiramente casualizado em arranjo fatorial 2x2, e considerou-se dois tipos de gestação (simples e gemelar) e dois tipos de manejo nutricional (com e sem restrição). As ovelhas eram colocadas sobre plataforma e contidas para realização da ordenha. Para análise dos dados referentes às semanas em lactação utilizou-se o modelo de medidas repetidas no tempo. Os grupos experimentais foram avaliados mediante utilização do teste SNK a 5% de significância. A produção de leite não foi afetada pelo manejo nutricional, bem como a quantidade de gordura, proteína, energia e as necessidades em energia e proteína. Portanto, ficou evidenciado neste estudo que somente o manejo nutricional não foi capaz de alterar as variáveis estudadas. Ovelhas com gestação dupla apresentaram maior produção de leite, maiores teores de gordura e proteína no leite bem como maior valor energético do mesmo. As necessidades em energia e proteína foram maiores para ovelhas com gestação dupla. A produção de leite e as necessidades em energia e proteína foram maiores até a décima semana de lactação. A exigência nutricional em energia e proteína acompanhou a curva de produção de leite. [Net requirement of protein and energy of Santa Inês ewe in lactation]. Abstract: This study aimed to obtain the protein and liquid energy requirements from lactating ewes under two nutritional managements during pregnancy and under two types of pregnancy. Experimental tests were conducted at the Animal Metabolism and Calorimetry Laboratory on Department of Animal Science from Veterinary School of UFMG. For the experimental testing, were used 28 Santa Ines sheeps in a completely randomized design under 2 x 2 factorial arrangement, considering two pregnancy types (single and double) and two nutritional managements (with and without restriction). Sheeps were placed on the platform and contained for milking. To analyse data regarding milking weeks it was used the model of repeated measures in time. The experimental groups were evaluated using the SNK test at 5% significance level. (1) Diets were compound of corn meal (Zea mays), soybean meal (Glycine max), chopped Tifton grass hay (Cynodon spp.) and limestone. Sheep?s specific mineralsupplement was offered ad libitum to the animals Milk production was not affected by nutritional management, as the amount of fat, protein and, energy from milk. The same results were observed to energy and protein requirements. This fact shows that the nutritional management, per se, was not able to change the variables studied. The double pregnancy produced more milk, fat and protein in milk increasing its energy value. Energy and protein requirements were higher in ewes with double pregnancy. Milk production, energy and protein requirements were higher until the tenth week of lactation. Energy and protein nutritional requirement followed the milk production curve

    The Little-Hopfield model on a Random Graph

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    We study the Hopfield model on a random graph in scaling regimes where the average number of connections per neuron is a finite number and where the spin dynamics is governed by a synchronous execution of the microscopic update rule (Little-Hopfield model).We solve this model within replica symmetry and by using bifurcation analysis we prove that the spin-glass/paramagnetic and the retrieval/paramagnetictransition lines of our phase diagram are identical to those of sequential dynamics.The first-order retrieval/spin-glass transition line follows by direct evaluation of our observables using population dynamics. Within the accuracy of numerical precision and for sufficiently small values of the connectivity parameter we find that this line coincides with the corresponding sequential one. Comparison with simulation experiments shows excellent agreement.Comment: 14 pages, 4 figure

    Cultivable bacterial diversity associated with bromeliad roots from ironstone outcrops in central Brazil.

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    Studies on the bacterial diversity associated with wild plants are rare, especially on those that grow in association with bromeliads. In the present study, we isolated and identified epiphytic and endophytic bacteria from the roots of the bromeliads Dyckia excelsa, Dyckia leptostachya and Deuterocohnia meziana occurring in the ?cangas? in the Pantanal from Mato Grosso do Sul State, Brazil. The epiphytic bacteria were isolated from washed roots, while the endophytic bacteria were isolated from surface disinfested roots. Bacterial representatives corresponding to each BOX-PCR fingerprint, as well as those that did not result in amplicons, were selected for 16S rDNA gene sequence analysis. The BOX-PCR data showed intrageneric and intraspecific diversity and could discriminate strains and identify their phenotypic characteristics. The 16S rDNA gene sequence and phylogeny analysis showed a higher occurrence of strains belonging to the genus Bacillus than Mycobacterium and Brevibacterium, which were found in lower numbers. Species from the Bacillus genus are well known for their sporulation capacity and longer survival in arid locations, such as the ?cangas?. This study clearly showed that the bromeliad species represent a vast reservoir of bacterial community diversity, and the cultivable strains represent a new source for biotechnological prospecting.Título em Português: Diversidade de bactérias cultiváveis associadas a raízes de bromélias de afloramentos ferruginosos do Brasil central

    Replicated Transfer Matrix Analysis of Ising Spin Models on `Small World' Lattices

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    We calculate equilibrium solutions for Ising spin models on `small world' lattices, which are constructed by super-imposing random and sparse Poissonian graphs with finite average connectivity c onto a one-dimensional ring. The nearest neighbour bonds along the ring are ferromagnetic, whereas those corresponding to the Poisonnian graph are allowed to be random. Our models thus generally contain quenched connectivity and bond disorder. Within the replica formalism, calculating the disorder-averaged free energy requires the diagonalization of replicated transfer matrices. In addition to developing the general replica symmetric theory, we derive phase diagrams and calculate effective field distributions for two specific cases: that of uniform sparse long-range bonds (i.e. `small world' magnets), and that of (+J/-J) random sparse long-range bonds (i.e. `small world' spin-glasses).Comment: 22 pages, LaTeX, IOP macros, eps figure
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