62 research outputs found

    Modelling Digital Media Objects

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    Sequence Classification Using Third-Order Moments

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    Model-based classification of sequence data using a set of hidden Markov models is a well-known technique. The involved score function, which is often based on the class-conditional likelihood, can, however, be computationally demanding, especially for long data sequences. Inspired by recent theoretical advances in spectral learning of hidden Markov models, we propose a score function based on third-order moments. In particular, we propose to use the Kullback-Leibler divergence between theoretical and empirical third-order moments for classification of sequence data with discrete observations. The proposed method provides lower computational complexity at classification time than the usual likelihood-based methods. In order to demonstrate the properties of the proposed method, we perform classification of both simulated data and empirical data from a human activity recognition study. </jats:p

    An allocatively efficient market for payment entitlements?

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    Oplæg til handlingsplaner for matematik og naturfagene i folkeskolen

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    CO2-lagring i Danmark - geologiske aspekter

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    Stor international fokus p&aring; klimaforandringer&nbsp;har f&aring;et mange lande&nbsp;til at overveje, hvordan de bedst&nbsp;muligt reducerer deres udledning af&nbsp;drivhusgasser. If&oslash;lge FN&rsquo;s klimapanel&nbsp;haster det med at f&aring; reduceret&nbsp;is&aelig;r udledningen af CO2 for at&nbsp;begr&aelig;nse skaderne for&aring;rsaget af en&nbsp;global temperaturstigning. Danmark&nbsp;har sammen med de &oslash;vrige EU&nbsp;lande forpligtiget sig til at reducere&nbsp;udledningen af CO2 med 8 % i forhold&nbsp;til niveauet i 1990, i perioden&nbsp;fra 2008 til 2012. Danmarks nationale&nbsp;m&aring;l er 21 % reduktion. Men&nbsp;hvilke muligheder har vi s&aring; for at n&aring;&nbsp;vores m&aring;l

    TOPBP1 regulates RAD51 phosphorylation and chromatin loading and determines PARP inhibitor sensitivity

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    Topoisomerase IIβ-binding protein 1 (TOPBP1) participates in DNA replication and DNA damage response; however, its role in DNA repair and relevance for human cancer remain unclear. Here, through an unbiased small interfering RNA screen, we identified and validated TOPBP1 as a novel determinant whose loss sensitized human cells to olaparib, an inhibitor of poly(ADP-ribose) polymerase. We show that TOPBP1 acts in homologous recombination (HR) repair, impacts olaparib response, and exhibits aberrant patterns in subsets of human ovarian carcinomas. TOPBP1 depletion abrogated RAD51 loading to chromatin and formation of RAD51 foci, but without affecting the upstream HR steps of DNA end resection and RPA loading. Furthermore, TOPBP1 BRCT domains 7/8 are essential for RAD51 foci formation. Mechanistically, TOPBP1 physically binds PLK1 and promotes PLK1 kinase–mediated phosphorylation of RAD51 at serine 14, a modification required for RAD51 recruitment to chromatin. Overall, our results provide mechanistic insights into TOPBP1’s role in HR, with potential clinical implications for cancer treatment

    The Functional Role of TopBP1 in DNA Maintenance at Mitosis

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