4,837 research outputs found

    Replication Data for: "New Evidence on Cyclical Variation in Average Labor Costs in the U.S."

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    Gu, Grace Weishi, Prasad, Eswar, and Moehrle, Thomas, (2020) “New Evidence on Cyclical Variation in Average Labor Costs in the United States.” Review of Economics and Statistics 102:5, 966–979

    Grace in Spoofax

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    Grace is a programming language that aims to be an example of a contemporary object-oriented language, to be used for teaching university level students. The language specification of Grace is informal, and its various implementations are difficult to comprehend and change. Spoofax Grace is an implementation of the Grace programming language, meant to serve both as a reference implementation, but also a specification, that can be easily read, understood and changed. Spoofax Grace is implemented using the Spoofax language workbench, providing a declarative grammar, program transformations and dynamic semantics. From these specifications a language interpreter is generated that can execute Grace programs. The system covers the core aspects of Grace, yet a number of language features remain unimplemented. The implementation can be correlated to the informal Grace specification, and can be changed or extended at will.Electrical Engineering, Mathematics and Computer ScienceSoftware TechnologyProgramming Language

    Rights issues for digital video

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    An examination of the legal, technical and policy issues surrounding digital video resources in higher education

    Grace Halsell

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    letter from author John Howard Griffin to Halsell1752px x 1084px7/25/72 [postcard] Dear Grace, Buried in work and know you are too. Had a good talk with your mother the other evening. Hope to see you soon. Love from all the Griffins. Howar

    NJVid: New Jersey Statewide Digital Video Portal

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    Presentation to the 2008 Spring StatesNet meeting describing the development and technical functionality of the statewide digital video portal, NJVid.NJVid is funded by the Institute of Museum and Library Services and is a collaboration of William Paterson, NJEdge and Rutgers University. The three year project will offer three collections, the NJVid Commons collection of freely available videos, commercial collections at participating organizations and lectures captured in the classroom by participating educators

    Grace Aguilar’s historical romances

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    PhDMy dissertation looks critically at Grace Aguilar’s historical romance novels and short stories, and investigates English writers’ uses of history in early- to mid-nineteenth century fiction. Shifting the current critical emphasis on Aguilar’s Jewish texts, I have analyzed the ways in which Aguilar revises the genres of the national tale, the gothic romance, and the medieval romance in order to demonstrate her participation in the construction of nineteenth-century domestic values. In Chapter One, I introduce to critical debate Aguilar’s juvenilia, relying on unpublished manuscripts and novels published only in the twentieth century to establish the origins of Aguilar’s interest in history and historical writing. Locating Aguilar’s narrative style in the early nineteenth-century national tale, I show that as a child Aguilar envisioned the English and Scottish nations as a family, making domesticity both a private and a public—a female and a male—value. Chapter Two focuses on Aguilar’s use of history to express nineteenth-century domestic ideals in her version of the gothic romance. Deploying the setting of the Catholic Inquisition in Spain and Portugal, Aguilar writes gothic tales that unite Jewish and Protestant gender values. She makes heroic the Jewish female martyr to suggest not only that nineteenth-century Protestants and Jews share similar domestic principles, but also that Jewish women could be seen as ideal models for Protestant women. Finally, in Chapter Three I explore Aguilar’s participation in the nineteenth-century medievalist tradition by reflecting on her revision of nineteenth-century literary idealizations of the Middle Ages. In these short stories, Aguilar fictionalizes the sixteenth-century European chivalric ethos, looking critically at the role of women in court society at the end of the Middle Ages. Deploying the tropes prevalent in popular nineteenth-century anti-medievalist fiction, Aguilar debunks celebrations of the Middle Ages by showing how chivalry is antagonistic to nineteenth-century domesticity

    Working hard, hardly working with Grace Beverley: the science behind career success with Dr Grace Lordan

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    My guest today is Dr Grace Lordan, Associate Professor in Behavioural Science at LSE and the author of recently published Think Big, Take Small Steps and Build the Future you Want, which is all about how to create a framework that will move you towards your goals. Her academic writings have been published in international journals and she currently advises the UK Government as a board member on the Skills and Productivity Board. I first met Grace when we were guests on the Going for Goal podcast by Women’s Health talking all things procrastination. I was fascinated by her take on these topics, and I am thrilled to have her on today

    Grace Towns Hamilton, circa 1975

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    Grace Towns Hamilton speaks behind a desk

    A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites

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    Recently, the design of grid composites with superior mechanical properties has gained significant attention as a testbed for deep neural network (DNN)-based optimization methods. However, current designed DNN architectures are not specifically tailored for grid composites and thus show weak generalizability in exploring unseen configurations that stem away from the training datasets. Here, a multiscale kernel neural network (MNet) is proposed that can efficiently predict the strain field within a grid composite subject to an external loading. Predicting the strain field of a composite is especially important when it comes to understanding how the material will behave under loading. MNet enables accurate predictions of the strain field for completely new configurations in unseen domain, with a reduced mean absolute percentage error (MAPE) by 50% compared to a benchmark, U-Net as current state-of-the arts DNN architectures. In addition, results showed that MNet maintained superb performances with less than onethird of dataset, and can be applied to grid composites larger than the composite configurations used for the initial training. By investigating the inference mechanisms from the kernels of multiple sizes, our work revealed that the MNet can efficiently extract various spatial correlations from the material distribution.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

    Grace Towns Hamilton Portrait, circa 1984

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    Grace Towns Hamilton sits in a chair with the American flag and the Georgia state flag behind her
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