27,949 research outputs found
Meson production in two-photon interactions at energies available at CERN Large Hadron Collider
The meson production cross sections are estimated considering photon-photon
interactions in hadron - hadron collisions at CERN LHC energies. We consider a
large number of mesons with photon-photon partial decay width well constrained
by the experiment and some mesons which are currently considered as hadronic
molecule and glueball candidates. Our results demonstrate that the experimental
analysis of these states is feasible at CERN - LHC.Comment: 5 pages, 1 figure, 4 tables. Version published in Physical Review
Parasitóides de Anastrepha obliqua (Macquart) (Dip., Tephritidae) em pitangueira no Município de Belém, Pará.
Resumo simples
Espécies de Anastrepha Schiner (Diptera: Tephritidae), seus hospedeiros e parasitóides nos Estados do Acre e Rondônia, Brasil.
Durante o mês de março de 2009 foram realizadas amostragens de frutos carnosos nos Estados do Acre (municípios de Brasiléia, Bujari, Capixaba, Epitaciolândia, Rio Branco, Sena Madureira, Senador Guiomard e Xapuri) e Rondônia (Ariquemes, Candeias do Jamari, Itapuã do Oeste, Ouro Preto do Oeste e Porto Velho) visando ampliar o conhecimento sobre a diversidade de moscas-das-frutas (Diptera: Tephritidae), seus hospedeiros e parasitóides. Este trabalho constitui o primeiro registro de Anastrepha coronilli Carrejo & González (Tephritidae) para o Estado do Acre, e das espécies A. coronilli, A. distincta Greene (Tephritidae), e dos himenópteros Doryctobracon areolatus (Szépligeti) e Opius bellus Gahan (Braconidae) para Rondônia. Palavras-chave: Amazônia, Braconidae, Hymenoptera, moscas-das-frutas, Tephritoidea
Data-driven load disturbance rejection
Data-driven direct methods are still growing in popularity almost three
decades after they were introduced. These methods use data collected from the
process to identify optimal controller's parameters with little knowledge about
the process itself. However, most of those works focus on the problem of
reference tracking, whereas many of the problems faced in real-life are of
disturbance rejection or attenuation. Also, the vastly majority of those works
identify the parameters of linearly parametrized controllers, which amounts to
fixing the poles of the controller's transfer function. Although the
identification of the controller's poles is not prohibitive, as hinted by some
of the papers, there is little effort on presenting a data-driven solution
capable of doing so. With all that in mind, this work proposes a data-driven
approach which is able to identify the zeros and the poles of a linear
controller aiming at disturbance rejection. Two different one-step ahead
predictors are proposed, one that is linear on the parameters and another that
is non-linear. Also, two different techniques are employed to estimate the
controller parameters, the first one minimizes the quadratic norm of the
prediction error while the second one minimizes the correlation between the
prediction error and an external signal. Simulations show the effectiveness of
the proposed methods to estimate the optimal controller parameters of
restricted order controllers aiming at disturbance rejection
Achieving minimum-error discrimination of an arbitrary set of laser-light pulses
Laser light is widely used for communication and sensing applications, so the
optimal discrimination of coherent states--the quantum states of light emitted
by a laser--has immense practical importance. However, quantum mechanics
imposes a fundamental limit on how well different coher- ent states can be
distinguished, even with perfect detectors, and limits such discrimination to
have a finite minimum probability of error. While conventional optical
receivers lead to error rates well above this fundamental limit, Dolinar found
an explicit receiver design involving optical feedback and photon counting that
can achieve the minimum probability of error for discriminating any two given
coherent states. The generalization of this construction to larger sets of
coherent states has proven to be challenging, evidencing that there may be a
limitation inherent to a linear-optics-based adaptive measurement strategy. In
this Letter, we show how to achieve optimal discrimination of any set of
coherent states using a resource-efficient quantum computer. Our construction
leverages a recent result on discriminating multi-copy quantum hypotheses
(arXiv:1201.6625) and properties of coherent states. Furthermore, our
construction is reusable, composable, and applicable to designing
quantum-limited processing of coherent-state signals to optimize any metric of
choice. As illustrative examples, we analyze the performance of discriminating
a ternary alphabet, and show how the quantum circuit of a receiver designed to
discriminate a binary alphabet can be reused in discriminating multimode
hypotheses. Finally, we show our result can be used to achieve the quantum
limit on the rate of classical information transmission on a lossy optical
channel, which is known to exceed the Shannon rate of all conventional optical
receivers.Comment: 9 pages, 2 figures; v2 Minor correction
Microbial biomass and activity in two cultivation systems on the SHIFT experimental area near Manaus.
In two different cultivation systems we investigated the microbial biomass and activity in the rhizosphere of Theobroma grandiflorum and Bactris gasipaes, two important crop plants in sustainable agriculture in Brazil during rainy and dry season 1998
Remote Sensing and Control of Phase Qubits
We demonstrate a remote sensing design of phase qubits by separating the
control and readout circuits from the qubit loop. This design improves
measurement reliability because the control readout chip can be fabricated
using more robust materials and can be reused to test different qubit chips.
Typical qubit measurements such as Rabi oscillations, spectroscopy, and
excited-state energy relaxation are presented.Comment: 3 pages, 4 figure
Avaliação de genótipos de mandioca para mesa em Ivinhema, MS.
O desenvolvimento de variedades de mandioca é hoje considerado o fator de maior demanda por parte da cadeia produtiva da mandiocultura do mundo. Basicamente, pode-se dividir as variedades como de dois tipos, baseando-se na concentração de compostos cianogênicos nas raízes: as mandiocas bravas (ou para indústria), possuem uma concentração mais alta, normalmente acima de 100 ppm, e são destinadas ao processamento (fécula, farinha, amidos modificados, etc.); já as mandiocas mansas, também conhecidas como aipins, macaxeiras e para mesa, possuem concentração de cianeto nas raízes mais baixa, o que permite o seu consumo após cozimento e/ou fritura (SCHWENGBER, 2002; FUKUDA & OTSUBO, 2003). Os programas de melhoramento genético das grandes culturas são conduzidos em várias etapas, abrangendo desde a gestão dos recursos genéticos, seleção, cruzamentos, até as avaliações de adaptação em diversos ambientes (FUKUDA & IGLESIAS, 2006). A partir de 2008, com o desenvolvimento das ações do projeto ?Rede Cooperativa de Avaliação e Transferência de genótipos de Mandioca?, passou-se a avaliar os genótipos de mandioca de forma sistematizada, com metodologia clara, em todas as regiões do Brasil. O presente trabalho consta da avaliação de genótipos de mandioca para mesa, na região de Ivinhema, MS, no período entre 2010 e 2011.Melhoramento genético. Resumo n. 242
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