160 research outputs found

    Preparation and evaluation of fiber metal nickel battery plaques third quarterly progress report, feb. 1 - apr. 30, 1965

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    Effect of fiber size opon internal surface area and pore size of nickel fiber metal plaque

    Between the Literary and the Visual: Inter-Artistic Approaches to African-American Art History

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    A stubborn truism vexes African-American art history: the canon of black American literature is viewed as more established and robust than that of black American visual arts. This misconception has more to do with conventional disciplinary divisions, than it does with either the quantity or quality of black visual expression. Segregating the literary from the visual --and assigning these to English and Art History departments, respectively--has obscured the originally inter-artistic nature of much black cultural expression as well as the terms of its early reception and critique. African-American artists have repeatedly worked in black literary contexts--from Aaron Douglas\u27s illustrations for Alain Locke\u27s The New Negro to Glenn Ligon\u27s painted excerpts from Ralph Ellison and Richard Pryor. At the same time, many (nonblack) literary critics have been enthusiastic interpreters of black visual arts. Theater critic and novelist Carl Van Vechten promoted the painters of the Harlem Renaissance; Sidney Hirsch, one of Vanderbilt University\u27s influential literary modernists, discovered black folk sculptor William Edmondson; and French poststructuralist Roland Barthes famously used a photograph by James Van Der Zee to explain his concept of the photographic punctum. This panel seeks papers that take stock of this prodigious overlap between the literary and the visual arts. Participants are invited to address how literature and literary criticism may productively inform African-American art history, to recount the specific historical circumstances that compel this approach, and to consider broadly how attention to inter-artistic histories might helpfully reform both approaches to and canons of black cultural expression

    In vitro degradation and gas production of brachiaria grass with levels of biodiesel byproducts.

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    ABSTRACT This study aimed to evaluate the in vitro degradability and gas production in diets containing byproducts from the national biodiesel industry (castor bean, canola, forage radish and black sunflower) replacing Brachiaria grass in four levels (0, 30, 50 and 70%). The inoculum for in vitro incubation was obtained from three fistulated Holstein cows. The experimental design was 4 x 4 factorial completely randomized experimental design consisting of four byproducts and four levels. All byproducts studied had a significant effect (p < 0.05) on in vitro digestibility. The castor bean byproducts promoted the lowest cumulative gas production at the end of 48 hours incubation. Regarding digestibility, the byproducts of canola and radish at 70% level did not affect the degradability of dry matter

    Identifying correlations between LIGO's astronomical range and auxiliary sensors using lasso regression

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    The range to which the Laser Interferometer Gravitational-Wave Observatory (LIGO) can observe astrophysical systems varies over time, limited by noise in the instruments and their environments. Identifying and removing the sources of noise that limit LIGO's range enables higher signal-to-noise observations and increases the number of observations. The LIGO observatories are continuously monitored by hundreds of thousands of auxiliary channels that may contain information about these noise sources. This paper describes an algorithm that uses linear regression, namely lasso (least absolute shrinkage and selection operator) regression, to analyze all of these channels and identify a small subset of them that can be used to reconstruct variations in LIGO's astrophysical range. Exemplary results of the application of this method to three different periods of LIGO Livingston data are presented, along with computational performance and current limitations

    Identifying correlations between LIGO’s astronomical range and auxiliary sensors using lasso regression

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    The range to which the Laser Interferometer Gravitational-Wave Observatory (LIGO) can observe astrophysical systems varies over time, limited by noise in the instruments and their environments. Identifying and removing the sources of noise that limit LIGO's range enables higher signal-to-noise observations and increases the number of observations. The LIGO observatories are continuously monitored by hundreds of thousands of auxiliary channels that may contain information about these noise sources. This paper describes an algorithm that uses linear regression, namely lasso (least absolute shrinkage and selection operator) regression, to analyze all of these channels and identify a small subset of them that can be used to reconstruct variations in LIGO's astrophysical range. Exemplary results of the application of this method to three different periods of LIGO Livingston data are presented, along with computational performance and current limitations
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