514 research outputs found

    Domain wall brane in squared curvature gravity

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    We suggest a thick braneworld model in the squared curvature gravity theory. Despite the appearance of higher order derivatives, the localization of gravity and various bulk matter fields is shown to be possible. The existence of the normalizable gravitational zero mode indicates that our four-dimensional gravity is reproduced. In order to localize the chiral fermions on the brane, two types of coupling between the fermions and the brane forming scalar is introduced. The first coupling leads us to a Schr\"odinger equation with a volcano potential, and the other a P\"oschl-Teller potential. In both cases, the zero mode exists only for the left-hand fermions. Several massive KK states of the fermions can be trapped on the brane, either as resonant states or as bound states.Comment: 18 pages, 5 figures and 1 table, references added, improved version to be published in JHE

    An object-based visual selection model combining physical features and memory

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    In this paper, a new visual selection model is proposed, which combines both early visual features and object-based visual selection modulations. This model integrates three main mechanisms. The first is responsible for the segmentation of the scene allowing the identification of objects. In the second one, the average of saliency of each object is calculated for each feature considered in this work, which provides the modulation of the visual attention for one or more features. Finally, the third mechanism is responsible for building the object-saliency map, which highlights the salient objects in the scene. It will be shown that top-down modulation can overcome bottom-up saliency by selecting a known object instead of the most salient (bottom-up) and is even clear in the absence of any bottom-up clue. Several experiments with synthetic and real images are conducted and the obtained results demonstrate the effectiveness of the proposed approach for visual attention

    Phylogenetic Group of Escherichia coli

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    The aim of the study was to determine the phylogenetic groups of E. coli strains isolated from seemingly healthy broiler and broiler condemned suspected of colibacillosis in a Brazilian slaughterhouse. Samples from respiratory tract and edible giblets (liver and heart) of broilers with and without macroscopic lesions of colibacillosis were collected at slaughter. There were 84 strains isolated from broilers condemned of which 11 were obtained from swabs of the heart, 7 from the liver, and 66 from the respiratory tract. Of the 53 E. coli strains isolated from broilers not condemned, 5 were isolated from the heart, 4 from the liver, and 44 from the respiratory tract. E coli strains were tested via PCR for phylogenetic groups A, B1, B2, C, D, E, and F. Phylogroups A and B1 were the most common phylogroups of E. coli obtained from healthy and sick-appearing broiler carcasses. The results of the study showed that phylogroups B2 and E were associated with the heart samples and phylogroup A was associated with respiratory tract samples, phylogroup B1 with not condemned carcass, and phylogroup D with liver samples

    Deforestation, degradation and violence in the “Gurupi Mosaic” – The most threatened region of Amazonia

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    O "Mosaico Gurupi" está localizado entre o oeste do Maranhão e o leste do Pará, na Área de Endemismo Belém, que embora seja a região mais desmatada do Bioma Amazônico no Brasil, preserva uma diversidade cultural e biológica superlativa. O mosaico engloba seis Terras Indígenas (Alto Turiaçu, Awá, Caru, Arariboia, Rio Pindaré e Alto Rio Guamá) e uma Unidade de Conservação (Reserva Biológica do Gurupi). Essas áreas protegidas conservam os principais remanescentes florestais da região e garantem a manutenção de serviços ecossistêmicos essenciais aos dois estados, principalmente de regulação hidrológica. No entanto, essa região vive sob ameaças constantes de desmatamento e de degradação pela extração ilegal de madeira, e por incêndios criminosos. Os povos indígenas e lideranças comunitárias da região são vitimados pela violência associada a tais crimes. Para promover a conservação e a restauração dessas áreas, uma rede formada por diversas instituições indígenas e não indígenas vem trabalhando em conjunto para o reconhecimento do "Mosaico Gurupi" pelo Ministério do Meio Ambiente. A proposta aqui apresentada inclui o mosaico em questão e o Corredor Ecológico da Amazônia Maranhense, que irá conectar os principais remanescentes florestais da região, por meio da restauração das matas ciliares ao longo dos rios Buriticupu, Pindaré e Zutiua. A conformação do mosaico visa integrar esforços para a proteção territorial, a restauração florestal e o fortalecimento da cultura e educação indígena; o que poderá converter a região mais ameaçada da Amazônia em um exemplo de conservação e sustentabilidade econômica e social por meio da promoção da restauração florestal.The "Gurupi Mosaic" is located between west Maranhão and east Pará states, in the Belém Endemism Area, which although being the most deforested region of the Amazonian biome in Brazil, preserves superlative biological and cultural diversity. The Mosaic includes six indigenous lands (Alto Turiaçu, Awá, Caru, Araribóia, Rio Pindaré, Alto Rio Guamá) and a conservation unit (Gurupi Biological Reserve). These protected areas conserve the region’s main forest remnants and guarantee the maintenance of essential ecosystem services. However, this region is under constant threats of deforestation and degradation by illegal logging and arson. Indigenous peoples living in the region are victims of the violence associated with such crimes. To promote the conservation and restoration of these areas, several indigenous and non-indigenous institutions have been working together to formalize the "Gurupi Mosaic" with the Ministry of the Environment. The proposal presented here includes the Mosaic and one ecological corridor in the state of Maranhão, which will connect the region’s last forest remnants through the restoration of the riparian forests along the main rivers. The conformation of the Mosaic aims to integrate efforts to protect territories, restore forests and strengthen indigenous culture and education. This could turn the most threatened region of Amazonia into an example of conservation and economic and social sustainability

    Genetic characterization of cassava (Manihot esculenta) landraces in Brazil assessed with simple sequence repeats

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    Based on nine microsatellite loci, the aim of this study was to appraise the genetic diversity of 42 cassava (Manihot esculenta) landraces from selected regions in Brazil, and examine how this variety is distributed according to origin in several municipalities in the states of Minas Gerais, São Paulo, Mato Grosso do Sul, Amazonas and Mato Grosso. High diversity values were found among the five above-mentioned regions, with 3.3 alleles per locus on an average, a high percentage of polymorphic loci varying from 88.8% to 100%, an average of 0.265 for observed heterozygosity and 0.570 for gene diversity. Most genetic diversity was concentrated within the regions themselves (HS = 0.52). Cluster analysis and principal component based scatter plotting showed greater similarity among landraces from São Paulo, Mato Grosso do Sul and Amazonas, whereas those from Minas Gerais were clustered into a sub-group within this group. The plants from Mato Grosso, mostly collected in the municipality of General Carneiro, provided the highest differentiation. The migration of human populations is one among the possible reasons for this closer resemblance or greater disparity among plants from the various regions

    <i>Gaia</i> Data Release 1. Summary of the astrometric, photometric, and survey properties

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    Context. At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7. Aims. A summary of Gaia DR1 is presented along with illustrations of the scientific quality of the data, followed by a discussion of the limitations due to the preliminary nature of this release. Methods. The raw data collected by Gaia during the first 14 months of the mission have been processed by the Gaia Data Processing and Analysis Consortium (DPAC) and turned into an astrometric and photometric catalogue. Results. Gaia DR1 consists of three components: a primary astrometric data set which contains the positions, parallaxes, and mean proper motions for about 2 million of the brightest stars in common with the HIPPARCOS and Tycho-2 catalogues – a realisation of the Tycho-Gaia Astrometric Solution (TGAS) – and a secondary astrometric data set containing the positions for an additional 1.1 billion sources. The second component is the photometric data set, consisting of mean G-band magnitudes for all sources. The G-band light curves and the characteristics of ∼3000 Cepheid and RR-Lyrae stars, observed at high cadence around the south ecliptic pole, form the third component. For the primary astrometric data set the typical uncertainty is about 0.3 mas for the positions and parallaxes, and about 1 mas yr−1 for the proper motions. A systematic component of ∼0.3 mas should be added to the parallax uncertainties. For the subset of ∼94 000 HIPPARCOS stars in the primary data set, the proper motions are much more precise at about 0.06 mas yr−1. For the secondary astrometric data set, the typical uncertainty of the positions is ∼10 mas. The median uncertainties on the mean G-band magnitudes range from the mmag level to ∼0.03 mag over the magnitude range 5 to 20.7. Conclusions. Gaia DR1 is an important milestone ahead of the next Gaia data release, which will feature five-parameter astrometry for all sources. Extensive validation shows that Gaia DR1 represents a major advance in the mapping of the heavens and the availability of basic stellar data that underpin observational astrophysics. Nevertheless, the very preliminary nature of this first Gaia data release does lead to a number of important limitations to the data quality which should be carefully considered before drawing conclusions from the data
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