27,223 research outputs found

    The International Criminal Court: Possibilities for Prosecutorial Abuse

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    The attempt to create an international criminal court assumes that in all important ways the international legal order is similar to the municipal legal orders with which US citizens are familiar, but with regard to the criminal law, that assumption is simply not true. Rubin discusses two potential fundamental discrepancies between the international legal order and an hypothesized typical municipal legal order as would exist under the current statute for the International Criminal Court

    Refugees and Reparations

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    Estimating the Causal Effects of Marketing Interventions Using Propensity Score Methodology

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    Propensity score methods were proposed by Rosenbaum and Rubin [Biometrika 70 (1983) 41--55] as central tools to help assess the causal effects of interventions. Since their introduction more than two decades ago, they have found wide application in a variety of areas, including medical research, economics, epidemiology and education, especially in those situations where randomized experiments are either difficult to perform, or raise ethical questions, or would require extensive delays before answers could be obtained. In the past few years, the number of published applications using propensity score methods to evaluate medical and epidemiological interventions has increased dramatically. Nevertheless, thus far, we believe that there have been few applications of propensity score methods to evaluate marketing interventions (e.g., advertising, promotions), where the tradition is to use generally inappropriate techniques, which focus on the prediction of an outcome from background characteristics and an indicator for the intervention using statistical tools such as least-squares regression, data mining, and so on. With these techniques, an estimated parameter in the model is used to estimate some global ``causal'' effect. This practice can generate grossly incorrect answers that can be self-perpetuating: polishing the Ferraris rather than the Jeeps ``causes'' them to continue to win more races than the Jeeps ⇔\Leftrightarrow visiting the high-prescribing doctors rather than the low-prescribing doctors ``causes'' them to continue to write more prescriptions. This presentation will take ``causality'' seriously, not just as a casual concept implying some predictive association in a data set, and will illustrate why propensity score methods are generally superior in practice to the standard predictive approaches for estimating causal effects.Comment: Published at http://dx.doi.org/10.1214/088342306000000259 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Magnetic properties of the spin-1 two-dimensional J1βˆ’J3J_1-J_3 Heisenberg model on a triangular lattice

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    Motivated by the recent experiment in NiGa2_2S4_4, the spin-1 Heisenberg model on a triangular lattice with the ferromagnetic nearest- and antiferromagnetic third-nearest-neighbor exchange interactions, J1=βˆ’(1βˆ’p)JJ_1 = -(1-p)J and J3=pJ,J>0J_3 = pJ, J > 0, is studied in the range of the parameter 0≀p≀10 \leq p \leq 1. Mori's projection operator technique is used as a method, which retains the rotation symmetry of spin components and does not anticipate any magnetic ordering. For zero temperature several phase transitions are observed. At pβ‰ˆ0.2 p \approx 0.2 the ground state is transformed from the ferromagnetic order into a disordered state, which in its turn is changed to an antiferromagnetic long-range ordered state with the incommensurate ordering vector at pβ‰ˆ0.31p \approx 0.31. With growing pp the ordering vector moves along the line to the commensurate point Qc=(2Ο€/3,0)Q_c = (2 \pi /3, 0), which is reached at p=1p = 1. The final state with the antiferromagnetic long-range order can be conceived as four interpenetrating sublattices with the 120deg⁑120\deg spin structure on each of them. Obtained results offer a satisfactory explanation for the experimental data in NiGa2_2S4_4.Comment: 2 pages, 3 figure

    A model for the anisotropic response of fibrous soft tissues using six discrete fibre bundles

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    The development of accurate constitutive models of fibrous soft-tissues is a challenging problem. Many consider the tissue to be a collection of fibres with a continuous distribution function representing their orientations. A novel discrete fibre model is presented consisting of six weighted fibre bundles. Each bundle is oriented such that they pass through opposing vertices of a regular icosahedron. A novel aspect of the model is the use of simple analytical distribution functions to simulate the undulated collagen fibres. This approach yields a closed form analytical expression for the strain energy function for the collagen fibre bundle that avoids the sometimes costly numerical integration of some statistical distribution functions. The elastin fibres are characterized by a neo-Hookean strain energy function. The model accurately simulates the biaxial stretching of rabbit-skin (error-of-fit 8.7%), the uniaxial stretching of pig-skin (error-of-fit 7.6%), equibiaxial loading of aortic valve cusp (error-of-fit 0.8%), and the simple shear of rat septal myocardium (error-of-fit 9.1%). The proposed model compares favourably with previously published soft-tissue models and alternative methods of representing undulated collagen fibres. The stiffness of collagen fibres predicted by the model ranges from 8.0 MPa to 0.93 GPa. The stiffness of elastin fibres ranges from 2.5 kPa to 154.4 kPa. The anisotropy of model resulting from the representation of the fibre field with a discrete number of fibres is also explored
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