7,176 research outputs found

    Adrian Quinones & Jaime Rodriguez interview

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    The Student Voices collection is a series of oral histories featuring UNC undergraduates discussing their experiences as first-year college students

    Saving and storing tomato seeds (Liveseed Video)

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    Dr Adrian Rodriguez Burruezo demonstrates how to extract, clean, wash and dry tomato seeds in order to prepare them for storage

    Providence College Faculty Author Series 2012-2013: Dr. Adrian Weimer

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    Dr. Adrian Weimer (History, Providence College) discusses her new book Martyrs\u27 Mirror: Persecution and Holiness in Early New England and the cultural importance of martyrdom within Colonial America

    Providence College Faculty Author Series 2012-2013: Dr. Adrian Weimer

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    Dr. Adrian Weimer (History, Providence College) discusses her new book Martyrs\u27 Mirror: Persecution and Holiness in Early New England and the cultural importance of martyrdom within Colonial America

    Adrian Matejka, 34th Annual ODU Literary Festival

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    Adrian Matejka is the author of The Devil’s Garden and Mixology, which was a winner of the 2008 National Poetry Series. He is the recipient of two Illinois Arts Council Literary Awards and fellowships from Cave Canem and the Lannan Foundation. His work has been featured in American Poetry Review, The Best American Poetry 2010, and Ploughshares, among other journals and anthologies. He teaches at Southern Illinois University Edwardsville

    sj-docx-1-gpi-10.1177_13684302211048885 – Supplemental material for Changing public opinion about gender activates group threat and opposition to feminist social movements among men

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    Supplemental material, sj-docx-1-gpi-10.1177_13684302211048885 for Changing public opinion about gender activates group threat and opposition to feminist social movements among men by Adrian Rivera-Rodriguez, Greg Larsen and Nilanjana Dasgupta in Group Processes & Intergroup Relations</p

    Aplicación de Lean Management en la Emilia S.A

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    La Emilia S.A. es una empresa Argentina con 25 años de trayectoria, líder del mercado de motocicletas. Como tantas otras empresas Argentinas nacieron y maduraron dentro una la filosofía de producción a gran escala. El objetivo del siguiente Proyecto Final se basa en demostrar, cómo es posible mejorar rápidamente la eficiencia de un sistema de trabajo Industrial, en este caso en La Emilia S.A., a través de la aplicación de herramientas de Lean Management con un bajo nivel de Inversión y donde se maximicen las utilidades por la implementación de las mismas.Fil: De Rosa Augusto Jacobo. Departamento Industrial. UTN FRSN. ArgentinaFil: Rodriguez Adrian Ramón. Departamento Industrial. UTN FRSN. ArgentinaPeer Reviewe

    Geostatistical models for the assessment of the influence of shear wave velocity uncertainty and variability on ground response analyses

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    A robust assessment of the influence of epistemic uncertainties and aleatory variabilities on ground response analyses is a fundamental requirement for modern probabilistic seismic hazard analyses. The study of epistemic uncertainties and aleatory variabilities should follow three sequential steps: identification, quantification, and management (IQM procedure). A fundamental input for ground response analyses is the shear-wave velocity (VS) profile. The VS profile can be obtained via various types of geophysical tests. Each test has specific characteristics. For these reasons, a consistent IQM procedure must be established to assess the type and amount of uncertainties involved in the measurements, also addressing the peculiarities of the investigated site. We propose a geostatistical model for the management of the uncertainties included in the VS profiles obtained with surface wave tests. The model is based on the separate randomization of travel times and layer thicknesses. It generates profiles that are consistent with the measured “site signatures” such as the Rayleigh wave dispersion curve and the predominant site period. The model can be easily generalized for other geophysical tests

    On the Traces of Vincenzo Scamozzi's Unrealized Projects for Rialto Bridge

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    The purpose of this study is to bring to light two design ideas of Vincenzo Scamozzi (1548–1616), developed by the architect for the Rialto bridge in Venice. The work aims at the virtual reconstruction of the design solutions for a three-arch and single-arch bridge, which were presented during the competition held in the years 1587 and 1588. The research is based on the investigation of historical documentation of written and graphic sources of the era and on the critical considerations that emerged from the comparison of the documents, also paying attention to the research of accredited scholars who have dealt with the topic over the years. The results of this investigation have been translated into 3D digital models, which make it possible to provide greater awareness of the competition projects, until now relegated to mere two-dimensional representations, at a visual level and therefore of the perception of the building concerning the project created by Antonio Da Ponte (1512–1597). Furthermore, digital reconstructions allow us to verify on an urban scale the relationships that would have arisen with the immediate surrounding city fabric and the reasons that presumably led these projects to their failure to be realized

    Uncertainties and variabilities in seismic ground response analyses

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    Ground response analyses (GRAs) represent a key element for the nonergodic (site-specific) evaluation of the seismic hazard. In this respect, epistemic uncertainties and aleatory variabilities need to be properly identified, quantified, and managed to obtain consistent estimates. Several collaborative efforts have been carried out in recent years to assess the influence of uncertainties and variabilities in the GRA parameters through benchmark studies. Specifically for site characterization, efforts are required to guarantee a sufficient quality of in situ and laboratory tests. However, benchmark tests have shown the existence of a certain level of “uncompressible uncertainty”. Stochastic models implemented in GRAs are therefore required to evaluate the impact of uncertainties and variabilities on the computed seismic hazard. Such models are to be based on large databases of experimental data to produce consistent estimates. Examples will be provided with a specific focus on geophysical tests for the evaluation of shear wave velocity models, which are likely the most influent parameters in GRAs
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