17,207 research outputs found

    Guide to Creative Commons for humanities and social science monograph authors

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    A booklet for authors in the humanities and social sciences specifically designed to help them understand the Creative Commons licenses

    Sustained Magnetorotational Turbulence in Local Simulations of Stratified Disks with Zero Net Magnetic Flux

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    We examine the effects of density stratification on magnetohydrodynamic turbulence driven by the magnetorotational instability in local simulations that adopt the shearing box approximation. Our primary result is that, even in the absence of explicit dissipation, the addition of vertical gravity leads to convergence in the turbulent energy densities and stresses as the resolution increases, contrary to results for zero net flux, unstratified boxes. The ratio of total stress to midplane pressure has a mean of ~0.01, although there can be significant fluctuations on long (>~50 orbit) timescales. We find that the time averaged stresses are largely insensitive to both the radial or vertical aspect ratio of our simulation domain. For simulations with explicit dissipation, we find that stratification extends the range of Reynolds and magnetic Prandtl numbers for which turbulence is sustained. Confirming the results of previous studies, we find oscillations in the large scale toroidal field with periods of ~10 orbits and describe the dynamo process that underlies these cycles.Comment: 13 pages, 18 figures, submitted to Ap

    University of Huddersfield Report on expenditure and compliance with the RCUK Policy on Open Access 2013-14

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    This is a report on the expenditure and compliance with the RCUK Open Access Policy between 1st April 2013 and 31st July 2014 for the University of Huddersfield. It covers the activities we’ve undertaken during that period and touches on some of our plans for the future

    ELDEN: Exploration via Local Dependencies

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    Tasks with large state space and sparse rewards present a longstanding challenge to reinforcement learning. In these tasks, an agent needs to explore the state space efficiently until it finds a reward. To deal with this problem, the community has proposed to augment the reward function with intrinsic reward, a bonus signal that encourages the agent to visit interesting states. In this work, we propose a new way of defining interesting states for environments with factored state spaces and complex chained dependencies, where an agent's actions may change the value of one entity that, in order, may affect the value of another entity. Our insight is that, in these environments, interesting states for exploration are states where the agent is uncertain whether (as opposed to how) entities such as the agent or objects have some influence on each other. We present ELDEN, Exploration via Local DepENdencies, a novel intrinsic reward that encourages the discovery of new interactions between entities. ELDEN utilizes a novel scheme -- the partial derivative of the learned dynamics to model the local dependencies between entities accurately and computationally efficiently. The uncertainty of the predicted dependencies is then used as an intrinsic reward to encourage exploration toward new interactions. We evaluate the performance of ELDEN on four different domains with complex dependencies, ranging from 2D grid worlds to 3D robotic tasks. In all domains, ELDEN correctly identifies local dependencies and learns successful policies, significantly outperforming previous state-of-the-art exploration methods.Comment: Accepted to NeurIPS 202

    Two By Two

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    Two by Two, a musical based on Noah\u27s ark, was performed at John Carroll University\u27s Little Theatre in April of 1985. A notice of the production appeared on page 5 of The Carroll News, April 10, 1985 .https://collected.jcu.edu/plays/1098/thumbnail.jp

    States of consciousness: performing sensory perceptions

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    This conference discussion paper outlines the potential impacts of our emerging scientific understanding of the breadth of human (and non-human) sensory perceptions on the future of theatrical performance. We examine how sensory perspectives may be taught and learned by performers and audiences
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