32,551 research outputs found

    An FPT 2-Approximation for Tree-Cut Decomposition

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    The tree-cut width of a graph is a graph parameter defined by Wollan [J. Comb. Theory, Ser. B, 110:47-66, 2015] with the help of tree-cut decompositions. In certain cases, tree-cut width appears to be more adequate than treewidth as an invariant that, when bounded, can accelerate the resolution of intractable problems. While designing algorithms for problems with bounded tree-cut width, it is important to have a parametrically tractable way to compute the exact value of this parameter or, at least, some constant approximation of it. In this paper we give a parameterized 2-approximation algorithm for the computation of tree-cut width; for an input nn-vertex graph GG and an integer ww, our algorithm either confirms that the tree-cut width of GG is more than ww or returns a tree-cut decomposition of GG certifying that its tree-cut width is at most 2w2w, in time 2O(w2logw)n22^{O(w^2\log w)} \cdot n^2. Prior to this work, no constructive parameterized algorithms, even approximated ones, existed for computing the tree-cut width of a graph. As a consequence of the Graph Minors series by Robertson and Seymour, only the existence of a decision algorithm was known.Comment: 17 pages, 3 figure

    Recognizing hyperelliptic graphs in polynomial time

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    Recently, a new set of multigraph parameters was defined, called "gonalities". Gonality bears some similarity to treewidth, and is a relevant graph parameter for problems in number theory and multigraph algorithms. Multigraphs of gonality 1 are trees. We consider so-called "hyperelliptic graphs" (multigraphs of gonality 2) and provide a safe and complete sets of reduction rules for such multigraphs, showing that for three of the flavors of gonality, we can recognize hyperelliptic graphs in O(n log n+m) time, where n is the number of vertices and m the number of edges of the multigraph.Comment: 33 pages, 8 figure

    Disease recurrence and rejection following liver transplantation for autoimmune chronic active liver disease

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    Autoimmune chronic active liver disease (ACALD), a major indication for liver transplantation, is associated strongly with antigenic determinants HLA-B8 and DR3. A retrospective analysis of 43 patients who underwent OLTx for putative ACALD and who, as well as their tissue organ donors, were typed, was performed. Disease recurrence and graft rejection episodes were determined by chart review and histopathological review of all material available. Disease recurrence was histologically documented in 11 (25.6%) of these 43 cases. Graft rejection episodes occurred in 24 (66.8%). All recurrences were in recipients of HLA-DR3-negative grafts. Nine of the recurrences were in HLA-DR3-poeitive recipients (odds ratio: 6.14, P<0.03). Two of 11 cases of disease recurrence were in recipients who were HLA-DR3-negative. Nine of these 11 had received HLA-DR3-negative grafts. Rejection occurred in 13 HLA-B8-positive recipients, 12 of whom received HLA-B8-negative grafts. Eleven HLA-B8-negative recipients experienced at least one rejection episode and 9 of these had received HLA-B8-negative grafts. Based upon these data we conclude: 1) that recurrence of putative ACALD is more likely to occur in HLA-DR3-positive recipients of HLA-DR3-negative grafts; (2) that recurrences were not seen in recipients of HLA-DR3-positive grafts; (3) that BXA-B8 status does not affect disease recurrence; and (4) that neither the HLA-B8 nor the DR3 status of the graft or recipient has an effect on the observed frequency of rejection. ©1992 by Williams & Wilkins

    Fast Algorithms for Join Operations on Tree Decompositions

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    Treewidth is a measure of how tree-like a graph is. It has many important algorithmic applications because many NP-hard problems on general graphs become tractable when restricted to graphs of bounded treewidth. Algorithms for problems on graphs of bounded treewidth mostly are dynamic programming algorithms using the structure of a tree decomposition of the graph. The bottleneck in the worst-case run time of these algorithms often is the computations for the so called join nodes in the associated nice tree decomposition. In this paper, we review two different approaches that have appeared in the literature about computations for the join nodes: one using fast zeta and M\"obius transforms and one using fast Fourier transforms. We combine these approaches to obtain new, faster algorithms for a broad class of vertex subset problems known as the [\sigma,\rho]-domination problems. Our main result is that we show how to solve [\sigma,\rho]-domination problems in O(st+2tn2(tlog(s)+log(n)))O(s^{t+2} t n^2 (t\log(s)+\log(n))) arithmetic operations. Here, t is the treewidth, s is the (fixed) number of states required to represent partial solutions of the specific [\sigma,\rho]-domination problem, and n is the number of vertices in the graph. This reduces the polynomial factors involved compared to the previously best time bound (van Rooij, Bodlaender, Rossmanith, ESA 2009) of O(st+2(st)2(s2)n3)O( s^{t+2} (st)^{2(s-2)} n^3 ) arithmetic operations. In particular, this removes the dependence of the degree of the polynomial on the fixed number of states~ss.Comment: An earlier version appeared in "Treewidth, Kernels, and Algorithms. Essays Dedicated to Hans L. Bodlaender on the Occasion of His 60th Birthday" LNCS 1216

    Multidimensional Binary Vector Assignment problem: standard, structural and above guarantee parameterizations

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    In this article we focus on the parameterized complexity of the Multidimensional Binary Vector Assignment problem (called \BVA). An input of this problem is defined by mm disjoint sets V1,V2,,VmV^1, V^2, \dots, V^m, each composed of nn binary vectors of size pp. An output is a set of nn disjoint mm-tuples of vectors, where each mm-tuple is obtained by picking one vector from each set ViV^i. To each mm-tuple we associate a pp dimensional vector by applying the bit-wise AND operation on the mm vectors of the tuple. The objective is to minimize the total number of zeros in these nn vectors. mBVA can be seen as a variant of multidimensional matching where hyperedges are implicitly locally encoded via labels attached to vertices, but was originally introduced in the context of integrated circuit manufacturing. We provide for this problem FPT algorithms and negative results (ETHETH-based results, WW[2]-hardness and a kernel lower bound) according to several parameters: the standard parameter kk i.e. the total number of zeros), as well as two parameters above some guaranteed values.Comment: 16 pages, 6 figure

    Psychosocial perception of adults with onychomycosis: a blinded, controlled comparison of 1,017 adult Hong Kong residents with or without onychomycosis

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    BACKGROUND: A survey was conducted amongst 1,017 Hong Kong residents ages 18 and over to determine their knowledge of fungal nail infections (onychomycosis) and the psychosocial impact of the disease on the relationships, social lives and careers of sufferers. METHODS: The Fungal Nail Perception Survey was conducted by email and online between May 29th and June 10th, 2013. Participants were shown three photographs of people with and without onychomycosis of the toenails. Respondents were asked ten questions (repeated for each picture) to ascertain their perceptions of the people in the pictures. Questions were related to perceptions around the ability of sufferers and non-sufferers to form relationships with others, social activities of sufferers and non-sufferers, perceptions of the effect of the disease on the potential for career success, and awareness of fungal nail disease and health. The sub-population who themselves suffered from onychomycosis were asked about self-perception as well as their perception of others with onychomycosis. RESULTS: Compared with non-sufferers, survey respondents perceived those with onychomycosis as less likely to be able to form good relationships. They also indicated that they would be more likely to exclude sufferers than non-sufferers from social activities and that they would be more likely to feel uncomfortable when sitting or standing beside an infected person than beside an uninfected person. Respondents perceived people with onychomycosis to be less able to perform well in their chosen career than with someone without onychomycosis. Interestingly, those respondents who themselves were infected felt socially excluded, upset and embarrassed by their infection. CONCLUSIONS: Onychomycosis may lead to stigmatization and social exclusion. Misconceptions of onychomycosis are high and education about the disease needs to be improved. Early recognition and treatment of the disease is essential to avoid complications and improve treatment outcomes, which would lead to reduced psychosocial impact on those with fungal nail infections

    Edge Shear Flows and Particle Transport near the Density Limit in the HL-2A Tokamak

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    Edge shear flow and its effect on regulating turbulent transport have long been suspected to play an important role in plasmas operating near the Greenwald density limit nG n_G . In this study, equilibrium profiles as well as the turbulent particle flux and Reynolds stress across the separatrix in the HL-2A tokamak are examined as nG n_G is approached in ohmic L-mode discharges. As the normalized line-averaged density nˉe/nG \bar{n}_e/n_G is raised, the shearing rate of the mean poloidal flow ωsh \omega_{\rm sh} drops, and the turbulent drive for the low-frequency zonal flow (the Reynolds power PRe \mathcal{P}_{Re} ) collapses. Correspondingly, the turbulent particle transport increases drastically with increasing collision rates. The geodesic acoustic modes (GAMs) gain more energy from the ambient turbulence at higher densities, but have smaller shearing rate than low-frequency zonal flows. The increased density also introduces decreased adiabaticity which not only enhances the particle transport but is also related to a reduction in the eddy-tilting and the Reynolds power. Both effects may lead to the cooling of edge plasmas and therefore the onset of MHD instabilities that limit the plasma density
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