15 research outputs found

    Strangeness nuclear physics: a critical review on selected topics

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    Selected topics in strangeness nuclear physics are critically reviewed. This includes production, structure and weak decay of Λ\Lambda--Hypernuclei, the Kˉ\bar K nuclear interaction and the possible existence of Kˉ\bar K bound states in nuclei. Perspectives for future studies on these issues are also outlined.Comment: 63 pages, 51 figures, accepted for publication on European Physical Journal

    Host government impact on the logistics performance of international humanitarian organisations

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    Host governments severely impact international relief operations. An openness to assistance can lead to the timely delivery of aid whereas a reluctance to receive assistance can have devastating consequences. With lives at stake and no time to lose in humanitarian crises, understanding the host government's impact on the logistics performance of international humanitarian organisations (IHOs) is crucial. In this paper, we present an in-depth multiple-case study that explores this aspect. Results show that host government actions are explained by their dependency on IHOs and the levels of tensions between their interests (i.e., conflicting strategic goals). In addition, a host government's regulatory and enforcement capabilities are important for ensuring that they can safeguard their interests. We derive four stances that host governments can adopt in regulating logistics-related activities: non-restrictive, opportunistic, selectively accommodating and uncompromising. Each of these has different implications for the logistics performance of IHOs

    A Class of Non-redundant Directional Filter Banks

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    Contourlet Transform for Texture Representation of Ultrasound Thyroid Images

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    Abstract. Texture representation of ultrasound (US) images is currently considered a major issue in medical image analysis. This paper investigates the texture representation of thyroid tissue via features based on the Contourlet Transform (CT) using different types of filter banks. A variety of statistical texture features based on CT coefficients, have been considered through a selection schema. The Sequential Floating Forward Selection (SFFS) algorithm with a k-NN classifier has been applied in order to investigate the most representative set of CT features. For the experimental evaluation a set of normal and nodular ultrasound thyroid textures have been utilized. The maximum classification accuracy was 93%, showing that CT based texture features can be successfully applied for the representation of different types of texture in US thyroid images
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