314 research outputs found

    Synchronous population fluctuations of forest and field voles: implications for population management

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    Tkadlec, E., Suchomel, J., Purchart, L., Heroldová, M., Čepelka, L., Homolka, M

    Vole impact on tree regeneration: insights into forest management

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    Heroldová, M., Homolka, M., Tkadlec, E., Kamler, J., Suchomel, J., Purchart, L., Krojerová, J., Barančeková, M., Turek, K., Baňař, M

    Recoil-Ion Detection System

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    This research was sponsored by the National Science Foundation Grant NSF PHY-931478

    A robust SNP barcode for typing Mycobacterium tuberculosis complex strains

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    Strain-specific genomic diversity in the Mycobacterium tuberculosis complex (MTBC) is an important factor in pathogenesis that may affect virulence, transmissibility, host response and emergence of drug resistance. Several systems have been proposed to classify MTBC strains into distinct lineages and families. Here, we investigate single-nucleotide polymorphisms (SNPs) as robust (stable) markers of genetic variation for phylogenetic analysis. We identify ~92k SNP across a global collection of 1,601 genomes. The SNP-based phylogeny is consistent with the gold-standard regions of difference (RD) classification system. Of the ~7k strain-specific SNPs identified, 62 markers are proposed to discriminate known circulating strains. This SNP-based barcode is the first to cover all main lineages, and classifies a greater number of sublineages than current alternatives. It may be used to classify clinical isolates to evaluate tools to control the disease, including therapeutics and vaccines whose effectiveness may vary by strain type

    Z_2-Regge versus Standard Regge Calculus in two dimensions

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    We consider two versions of quantum Regge calculus. The Standard Regge Calculus where the quadratic link lengths of the simplicial manifold vary continuously and the Z_2-Regge Model where they are restricted to two possible values. The goal is to determine whether the computationally more easily accessible Z_2 model still retains the universal characteristics of standard Regge theory in two dimensions. In order to compare observables such as average curvature or Liouville field susceptibility, we use in both models the same functional integration measure, which is chosen to render the Z_2-Regge Model particularly simple. Expectation values are computed numerically and agree qualitatively for positive bare couplings. The phase transition within the Z_2-Regge Model is analyzed by mean-field theory.Comment: 21 pages, 16 ps-figures, to be published in Phys. Rev.
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