3,675 research outputs found

    Chapter 6 Recognizing and Saving Black Lives, Recognizing and Saving Palestinian Lives: The Power of Transnational Rhetorics in Locating the Commonality of Liberation Struggles

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    The second edition of this formative collection offers analysis of the work rhetoric plays in the principles and practices of today’s culture of democratic activism. Editors JongHwa Lee and Seth Kahn—and their diverse contributors working in communication and composition studies both within and outside academia—provide explicit articulation of how activist rhetoric differs from the kinds of deliberative models that rhetoric has exalted for centuries, contextualized through and by contributors’ everyday lives, work, and interests. New to this edition are attention to Black Lives Matter, the transgender community, social media environments, globalization, and environmental activism. Simultaneously challenging and accessible, Activism and Rhetoric: Theories and Contexts for Political Engagement is a must-read for students and scholars who are interested in or actively engaged in rhetoric, composition, political communication, and social justice

    DEVELOPMENT OF AN UWB RADAR SYSTEM

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    An ultra-wideband radar system is built at the University of Tennessee with the goal to develop a ground penetrating radar (GPR). The radar is required to transmit and receive a very narrow pulse signal in the time domain. The bistatic radar transmits a pulse through an ultrawide spiral antenna and receives the pulse by a similar antenna. Direct sampling is used to improve the performance of the impulse radar allowing up to 1.5 GHz of bandwidth to be used for signal processing and target detection with high resolution. Using direct sampling offers a less complex system design than traditional lower sample rate, super-heterodyne systems using continuous wave or step frequency methods while offering faster results than conventional equivalent time sampling techniques that require multiple data sets and significant post-processing. These two points are particularly important for a system that may be used in the field in potentially dangerous environments. Direct sampling radar systems, while still frequency limited, are continually improving their upper frequencies boundaries due to more power efficient, higher sampling rate analog to digital converters (ADCs) which relates directly to better subsurface resolution for potential target detection

    Writing Unwritten: Reference, Opposition and Morality in Poe, Baudelaire, and Mallarmé

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    Senior Project submitted to The Division of Languages and Literature of Bard College

    Chapter 6 Recognizing and Saving Black Lives, Recognizing and Saving Palestinian Lives: The Power of Transnational Rhetorics in Locating the Commonality of Liberation Struggles

    Get PDF
    The second edition of this formative collection offers analysis of the work rhetoric plays in the principles and practices of today’s culture of democratic activism. Editors JongHwa Lee and Seth Kahn—and their diverse contributors working in communication and composition studies both within and outside academia—provide explicit articulation of how activist rhetoric differs from the kinds of deliberative models that rhetoric has exalted for centuries, contextualized through and by contributors’ everyday lives, work, and interests. New to this edition are attention to Black Lives Matter, the transgender community, social media environments, globalization, and environmental activism. Simultaneously challenging and accessible, Activism and Rhetoric: Theories and Contexts for Political Engagement is a must-read for students and scholars who are interested in or actively engaged in rhetoric, composition, political communication, and social justice

    Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds

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    This paper investigates the suitability of using Generative Adversarial Networks (GANs) to generate stable structures for the physics-based puzzle game Angry Birds. While previous applications of GANs for level generation have been mostly limited to tile-based representations, this paper explores their suitability for creating stable structures made from multiple smaller blocks. This includes a detailed encoding/decoding process for converting between Angry Birds level descriptions and a suitable grid-based representation, as well as utilizing state-of-the-art GAN architectures and training methods to produce new structure designs. Our results show that GANs can be successfully applied to generate a varied range of complex and stable Angry Birds structures.Comment: 11 pages, 10 figures, 2 tables, Accepted at the 19th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 23

    Erratum: Improved real-space genetic algorithm for crystal structure and polymorph prediction [Phys. Rev. B 77, 134117 (2008)]

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    In our earlier work, there was an error in the derivation of the spherically averaged scattering intensity, presented as Eq. (5) in the original paper. This equation should have readΛ(kr)=∑n=1Nρ′(n)2+2∑n=1N∑m>nNρ′(n)ρ′(m)j0(kr∣∣∣∣rn−rm|), (5)where j0(r) is the spherical Bessel function of the first kind

    Identification of nutrient partitioning genes participating in rice grain filling by singular value decomposition (SVD) of genome expression data

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    BACKGROUND: In order to identify rice genes involved in nutrient partitioning, microarray experiments have been done to quantify genomic scale gene expression. Genes involved in nutrient partitioning, specifically grain filling, will be used to identify other co-regulated genes, and DNA binding proteins. Proper identification of the initial set of bait genes used for further investigation is critical. Hierarchical clustering is useful for grouping genes with similar expression profiles, but decreases in utility as data complexity and systematic noise increases. Also, its rigid classification of genes is not consistent with our belief that some genes exhibit multifaceted, context dependent regulation. RESULTS: Singular value decomposition (SVD) of microarray data was investigated as a method to complement current techniques for gene expression pattern recognition. SVD's usefulness, in finding likely participants in grain filling, was measured by comparison with results obtained previously via clustering. 84 percent of these known grain-filling genes were re-identified after detailed SVD analysis. An additional set of 28 genes exhibited a stronger grain-filling pattern than those grain-filling genes that were unselected. They also had upstream sequence containing motifs over-represented among grain filling genes. CONCLUSIONS: The pattern-based perspective that SVD provides complements to widely used clustering methods. The singular vectors provide information about patterns that exist in the data. Other aspects of the decomposition indicate the extent to which a gene exhibits a pattern similar to those provided by the singular vectors. Thus, once a set of interesting patterns has been identified, genes can be ranked by their relationship with said patterns
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