12 research outputs found

    Analysis of the X(1835) and related baryonium states with Bethe-Salpeter equation

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    In this article, we study the mass spectrum of the baryon-antibaryon bound states ppˉp\bar{p}, ΣΣˉ\Sigma\bar{\Sigma}, ΞΞˉ\Xi\bar{\Xi}, ΛΛˉ\Lambda\bar{\Lambda}, pNˉ(1440)p\bar{N}(1440), ΣΣˉ(1660)\Sigma\bar{\Sigma}(1660), ΞΞˉâ€Č\Xi\bar{\Xi}^\prime and ΛΛˉ(1600)\Lambda\bar{\Lambda}(1600) with the Bethe-Salpeter equation. The numerical results indicate that the ppˉp\bar{p}, ΣΣˉ\Sigma\bar{\Sigma}, ΞΞˉ\Xi\bar{\Xi}, pNˉ(1440)p\bar{N}(1440), ΣΣˉ(1660)\Sigma\bar{\Sigma}(1660), ΞΞˉâ€Č\Xi\bar{\Xi}^\prime bound states maybe exist, and the new resonances X(1835) and X(2370) can be tentatively identified as the ppˉp\bar{p} and pNˉ(1440)p\bar{N}(1440) (or N(1400)pˉN(1400)\bar{p}) bound states respectively with some gluon constituents, and the new resonance X(2120) may be a pseudoscalar glueball. On the other hand, the Regge trajectory favors identifying the X(1835), X(2120) and X(2370) as the excited ηâ€Č(958)\eta^\prime(958) mesons with the radial quantum numbers n=3n=3, 4 and 5, respectively.Comment: 13 pages, 2 figures, revise a numbe

    Herança da resistĂȘncia em feijoeiro Ă  murcha causada por Curtobacterium flaccumfaciens pv. flaccumfaciens

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    O objetivo deste trabalho foi determinar a herança da resistĂȘncia Ă  murcha de Curtobacterium em feijoeiro. Foram realizados dois experimentos: no primeiro, cinco genĂłtipos de feijoeiro, com diferentes reaçÔes de resistĂȘncia Ă  murcha de Curtobacterium, foram cruzados em arranjo dialĂ©lico; e no segundo, dois cruzamentos entre genĂłtipos resistentes e suscetĂ­veis - IAC Carioca AruĂŁ x SCS GuarĂĄ e IAC Carioca PyatĂŁ x PĂ©rola - foram realizados para dar origem Ă s geraçÔes P1, P2, F1, F2, RC1 e RC2. Em ambos os experimentos, a resistĂȘncia do feijoeiro Ă  murcha bacteriana foi avaliada por meio da inoculação do isolado Cff 2634. A anĂĄlise dialĂ©lica mostrou que, embora efeitos aditivos e nĂŁo aditivos estejam envolvidos, houve maior participação de genes com efeito aditivo no controle genĂ©tico da resistĂȘncia Ă  murcha bacteriana, o que mostra a possibilidade de se obter sucesso com a seleção. A herança da resistĂȘncia Ă  murcha de Curtobacterium Ă© complexa, com mais de trĂȘs genes envolvidos, e herdabilidade no sentido restrito de 29%, para o cruzamento 'IAC Carioca AruĂŁ' x 'SCS GuarĂĄ', e de 44%, para o cruzamento 'IAC Carioca PyatĂŁ' x 'PĂ©rola'

    NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

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    Xenarthrans – anteaters, sloths, and armadillos – have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with 24 domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, ten anteaters, and six sloths. Our dataset includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data-paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the south of the USA, Mexico, and Caribbean countries at the northern portion of the Neotropics, to its austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n=5,941), and Cyclopes sp. has the fewest (n=240). The armadillo species with the most data is Dasypus novemcinctus (n=11,588), and the least recorded for Calyptophractus retusus (n=33). With regards to sloth species, Bradypus variegatus has the most records (n=962), and Bradypus pygmaeus has the fewest (n=12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other datasets of Neotropical Series which will become available very soon (i.e. Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans dataset

    Combined parametrization of GEn and γ∗N→Δ(1232)\gamma^{\ast} N \rightarrow \Delta (1232)γ*N→Δ(1232) quadrupole form factors

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    Tubulopapillary carcinoma of the mammary gland in a maned wolf (Chrysocyon brachyurus): histopathological and immunophenotypical analysis

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    A maned female wolf (Chrysocyon brachyurus) showed nodules in the inguinal and left abdominal cranial mammary glands. The mammary gland was surgically excised, and microscopic analysis revealed epithelial cell proliferation in a tubular and papillary pattern; delicate fibrovascular stalks presenting numerous layers of moderately pleomorfic epithelial cells were observed. This histologic appearance was compatible with a diagnosis of mammary tubulopapillary carcinoma. The immunohistochemical profile revealed nuclear positivity for estrogen (70%) and progesterone (at least 90% of the neoplastic cells). The myoepithelium-associated with neoplastic cells lacked integrity, as evidenced by failed smooth muscle alpha actin reactivity in microinvasive areas. A low proliferation index was observed (3.4%). To the authors' knowledge, the present case represents the first finding of female tubulopapillary carcinoma in a mammary gland in this species

    Resource selection in an apex predator and variation in response to local landscape characteristics

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    Habitat loss and fragmentation represent major threats for the conservation of apex predators, such as the jaguar (Panthera onca). Investigating species’ resource selection behavior in response to landscape alteration is critical for developing relevant conservation management plans. The jaguar is found across a variety of habitats with different gradients of human disturbance, making them a good candidate to study how apex predators respond to increasing intensity of human land use. We developed resource selection models to characterize patterns of jaguar resource selection at two different spatial scales, home range (coarse) and foraging scale (fine). This analysis was based on the largest existing GPS-location dataset for jaguars (n = 40 individuals, n = 87,376 locations), spanning the species’ geographic range in Brazil and Argentina. We found that both males and females jaguars exhibited an overall preference for forests and areas close to watercourses at both the home range and foraging scale. At the foraging scale, areas of high livestock density “attracted” male jaguars. We also performed a follow-up analysis to test for context-dependent resource selection (i.e., functional responses) by relating individual behavior to local habitat characteristics. We found that jaguars in heavily-forested landscapes showed strong avoidance of non-forest. Furthermore, we found that only the individuals in closest proximity to watercourses showed positive selection for water. Our results highlight that jaguars display different patterns of resource selection in different areas, demonstrating a considerable ability to use or tolerate a wide variety of different conditions across the species geographic range. This plasticity may allow jaguars to adjust their behavior according to land use changes but also increases human-jaguar conflict and jaguar mortality, especially in areas with high livestock density.Fil: Morato, Ronaldo G.. Instituto Chico Mendes de Conservação da Biodiversidade; Brasil. Smithsonian Conservation Biology Institute. Conservation Ecology Center; Estados Unidos. Instituto PrĂł-carnĂ­voros; BrasilFil: Connette, G.M.. Smithsonian Conservation Biology Institute. Conservation Ecology Center; Estados UnidosFil: Stabach, J.A.. Smithsonian Conservation Biology Institute. Conservation Ecology Center; Estados UnidosFil: De Paula, R.C.. Instituto Chico Mendes de Conservação da Biodiversidade; Brasil. Instituto PrĂł-carnĂ­voros; BrasilFil: Ferraz, K.M.P.M.. Universidade de Sao Paulo; Brasil. Instituto PrĂł-carnĂ­voros; BrasilFil: Kantek, D.L.Z.. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Miyazaki, Silvia Susana. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; Argentina. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Pereira, T.D.C.. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Silva, L.C.. Universidade Federal de Viçosa; BrasilFil: Paviolo, Agustin Javier. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Nordeste. Instituto de BiologĂ­a Subtropical. Instituto de BiologĂ­a Subtropical - Nodo Puerto IguazĂș | Universidad Nacional de Misiones. Instituto de BiologĂ­a Subtropical. Instituto de BiologĂ­a Subtropical - Nodo Puerto IguazĂș; Argentina. Centro de Investigaciones del Bosque AtlĂĄntico; ArgentinaFil: de Angelo, Carlos Daniel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Nordeste. Instituto de BiologĂ­a Subtropical. Instituto de BiologĂ­a Subtropical - Nodo Puerto IguazĂș | Universidad Nacional de Misiones. Instituto de BiologĂ­a Subtropical. Instituto de BiologĂ­a Subtropical - Nodo Puerto IguazĂș; Argentina. Centro de Investigaciones del Bosque AtlĂĄntico; ArgentinaFil: Di Bitetti, Mario Santiago. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Nordeste. Instituto de BiologĂ­a Subtropical. Instituto de BiologĂ­a Subtropical - Nodo Puerto IguazĂș | Universidad Nacional de Misiones. Instituto de BiologĂ­a Subtropical. Instituto de BiologĂ­a Subtropical - Nodo Puerto IguazĂș; Argentina. Centro de Investigaciones del Bosque AtlĂĄntico; ArgentinaFil: Cruz, MarĂ­a Paula. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Nordeste. Instituto de BiologĂ­a Subtropical. Instituto de BiologĂ­a Subtropical - Nodo Puerto IguazĂș | Universidad Nacional de Misiones. Instituto de BiologĂ­a Subtropical. Instituto de BiologĂ­a Subtropical - Nodo Puerto IguazĂș; Argentina. Centro de Investigaciones del Bosque AtlĂĄntico; ArgentinaFil: Lima, F.. Univesidade Estadual de SĂŁo Paulo; Brasil. Instituto de Pesquisas EcolĂłgicas; BrasilFil: Cullen Jr., Laury. Univesidade Estadual de SĂŁo Paulo; BrasilFil: Sana, D.A.. Instituto PrĂł-carnĂ­voros; Brasil. Universidade Federal do Rio Grande do Sul; BrasilFil: Ramalho, E.E.. Instituto PrĂł-carnĂ­voros; Brasil. Instituto de Desenvolvimento SustentĂĄvel MamirauĂĄ; BrasilFil: Carvalho, M.M.. Instituto de Defesa e Preservação dos FelĂ­deos Brasileiros; BrasilFil: da Silva, M.X.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Moraes, M.D.F.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Vogliotti, Ana. Instituto PrĂł-carnĂ­voros; Brasil. Universidade Federal da Integração Latino-Americana; BrasilFil: May Jr., J.A.. Universidade do Sul de Santa Catarina; Brasil. Associação Onçafari; BrasilFil: Haberfeld, M.. Associação Onçafari; BrasilFil: Rampim, L.. Associação Onçafari; BrasilFil: Sartorello, L.. Associação Onçafari; BrasilFil: Araujo, G.R.. Universidade Federal do Mato Grosso do Sul; BrasilFil: Wittemyer, G.. State University of Colorado - Fort Collins; Estados UnidosFil: Ribeiro, M.C.. Univesidade Estadual de SĂŁo Paulo; BrasilFil: Leimgruber, P.. Smithsonian Conservation Biology Institute. Conservation Ecology Center; Estados Unido
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