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    1722 research outputs found

    Sisterhood and Sibling Rivalry in Roman Society

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    The author's agreement with the publisher states: "After publication of the Work, the Author will have the right to reprint the Work in whole or in part in ... an institutional repository."Roman evidence for relations between sisters is thin, but what there is suggests that sororal relations were, like all familial relations, subject to ideals of behaviour that might be difficult for individuals to attain. Ideally, sisters, as almost interchangeable versions of each other, were supposed to offer each other unstinting and selfless support, particularly in the context of childrearing. However, these ideals could be difficult to achieve in light of the habit of assessing a woman’s worth with reference to her ability to produce children and the reality of high child mortality rates; envious feelings between sisters might take over. Rituals on the dies lustricus and the annual rites of the Matralia may have addressed the incompatibility of the ideals that framed female existence.https://utpjournals.press/doi/abs/10.3138/mous.16.s1-

    A GPU-based Laplacian Solver for Magnetostatic Boundary Value Problems

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    Modern graphics processing units (GPUs) have more computing power than CPUs, and thus, GPUs are proposed as more efficient compute units in solving scientific problems with large parallelizable computational loads. In our study, we present a GPU algorithm to solve a magnetostatic boundary value problem, which exhibits parallel properties. In particular, we solve the Laplace equation to find the magnetic scalar potential in the region between two coaxial cylinders. This requires discretizing the problem domain into small cells and finding the solution at each node of the generated mesh. The smaller the cell size is the more accurate the solution will be. More accurate solution leads to a better estimation of the surface current needed to generate a uniform magnetic field inside the inner cylinder, which is the final goal. Although solving a mesh with a large number of smaller cells is computationally intensive, GPU computing provides techniques to accelerate performance. The problem domain is discretized using the finite difference method (FDM) and the linear system of equations obtained from the FDM is solved by the successive over relaxation (SOR) method. The parallel program is implemented using CUDA framework. The performance of the parallel algorithm is optimized using several CUDA optimization strategies and the speedup of the parallel GPU implementation over the sequential CPU implementation is provided.Master of Science in Applied Computer Scienc

    How Comics Work: A 1BUW Production

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    This booklet is an introduction to the content for the University of Winnipeg Fall 2019 course ONE BOOK UW (1BUW).https://www.uwinnipeg.ca/1b19/how-comics-work/free-downloadable-comic.htm

    Critical Library Instruction in a Community-Based Project

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