726 research outputs found

    Semantic Sort: A Supervised Approach to Personalized Semantic Relatedness

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    We propose and study a novel supervised approach to learning statistical semantic relatedness models from subjectively annotated training examples. The proposed semantic model consists of parameterized co-occurrence statistics associated with textual units of a large background knowledge corpus. We present an efficient algorithm for learning such semantic models from a training sample of relatedness preferences. Our method is corpus independent and can essentially rely on any sufficiently large (unstructured) collection of coherent texts. Moreover, the approach facilitates the fitting of semantic models for specific users or groups of users. We present the results of extensive range of experiments from small to large scale, indicating that the proposed method is effective and competitive with the state-of-the-art.Comment: 37 pages, 8 figures A short version of this paper was already published at ECML/PKDD 201

    The landscape of human STR variation

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    Short tandem repeats are among the most polymorphic loci in the human genome. These loci play a role in the etiology of a range of genetic diseases and have been frequently utilized in forensics, population genetics, and genetic genealogy. Despite this plethora of applications, little is known about the variation of most STRs in the human population. Here, we report the largest-scale analysis of human STR variation to date. We collected information for nearly 700,000 STR loci across more than 1000 individuals in Phase 1 of the 1000 Genomes Project. Extensive quality controls show that reliable allelic spectra can be obtained for close to 90% of the STR loci in the genome. We utilize this call set to analyze determinants of STR variation, assess the human reference genome’s representation of STR alleles, find STR loci with common loss-of-function alleles, and obtain initial estimates of the linkage disequilibrium between STRs and common SNPs. Overall, these analyses further elucidate the scale of genetic variation beyond classical point mutations.American Society for Engineering Education. National Defense Science and Engineering Graduate Fellowshi

    Navigated interventions in the head and neck area: standardized assessment of a new handy field generator

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    Electromagnetic (EM) tracking enables localization of surgical instruments within the magnetic field emitted by an EM field generator (FG). Usually, the larger a FG is, the larger its tracking volume is. However, the company NDI (Northern Digital Inc., Waterloo, ON, Canada) recently introduced the Planar 10-11 FG, which combines a compact construction (97mm x 112mm x 31mm) with a relatively large, cylindrical tracking volume (diameter: 340mm, height: 340mm). Using the standardized assessment protocol of Hummel et al., the FG was tested with regard to its tracking accuracy and to its robustness with respect to external sources of disturbance. The mean positional error (5cm distance metric according to Hummel protocol) was 0.59mm, with a mean jitter of 0.26mm in the standard setup. The mean orientational error was found to be 0.10{\deg}. The highest positional error (4.82mm) due to metallic sources of disturbance was caused by the steel SST 303. In contrast, steel SST 416 caused the lowest positional error (0.10mm). Overall, the Planar 10-11 FG tends to achieve better tracking accuracy results compared to other NDI FGs. Due to its compact construction and portability, the FG could contribute to increased clinical use of EM tracking systems.Comment: This is the preprint version of the BVM paper already published in the conference proceedings of "Bildverarbeitung in der Medizin 2019". Paper written in Germa

    Graph diffusion distance: a difference measure for weighted graphs based on the graph Laplacian exponential kernel

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    pre-printWe propose a novel difference metric, called the graph diffusion distance (GDD), for quantifying the difference between two weighted graphs with the same number of vertices. Our approach is based on measuring the average similarity of heat diffusion on each graph. We compute the graph Laplacian exponential kernel matrices, corresponding to repeatedly solving the heat diffusion problem with initial conditions localized to single vertices. The GDD is then given by the Frobenius norm of the difference of the kernels, at the diffusion time yielding the maximum difference. We study properties of the proposed distance on both synthetic examples, and on real-data graphs representing human anatomical brain connectivity

    Judicial Reform or Abusive Constitutionalism in Israel

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    How should the constitutional reform in Israel be assessed in comparative terms? Comparative constitutional understandings point to the centrality of three key sets of norms as part of the ‘democratic minimum core’: (i) commitments to free and fair, regular multi-party elections; (ii) political rights and freedoms; and (iii) a system of institutional checks and balances necessary to maintain (i) and (ii). Any change in judicial power and independence must be assessed against the benchmark of the democratic minimum core, and by reference to its cumulative practical effect on a system of institutional checks and balances. We claim that recent changes in Israel may already threaten these institutional checks, and have the potential to do more damage in the future, if given broad effect and if combined with further changes in the power and independence of the Supreme Court. On this basis, we suggest, the relevant changes should be viewed as either ‘abusive’ or ‘proto-abusive’ in nature. By threatening to undermine both the power and independence of the Supreme Court of Israel, they directly threaten the health of the constitutional checks and balances system and, hence, the ‘democratic minimum core’ in Israel
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