13,703 research outputs found

    Daniel H. Watanabe oral history interview and transcript

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    This recording and transcript form part of a collection of oral history interviews conducted by the Chao Center for Asian Studies at Rice University. This collection includes audio recordings and transcripts of interviews with Asian Americans native to or living in Houston. Interviewers: Christopher Chan, Anthony Roger

    eScience Symposium Reflections from Christopher Erdmann: Redefining the Librarian’s Role in eScience

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    Christopher Erdmann, Head Librarian, Wolbach Library, Harvard Smithsonian Center for Astrophysics, shares his multiple experiences at the University of Massachusetts and New England Area Librarian eScience Symposium, as well as current challenges he sees for data science librarians. Christopher presented on a panel at the Eighth Annual eScience Symposium discussing the “future of data science” from a librarian’s perspective. See the video of this panel presentation on the 2016 eScience Symposium website

    Analysis of a manufacturing and distribution system

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    Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 1999.Includes bibliographical references (p. 48).by Christopher Chan Ogden, II.S.M.M.B.A

    Marianne Chan: 47th Annual ODU Literary Festival

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    Marianne Chan grew up in Stuttgart, Germany, and Lansing, Michigan. She is the author of All Heathens (Sarabande Books, 2020), which was the winner of the 2021 GLCA New Writers Award. Her second collection, Leaving Biddle City, was published from Sarabande Books in July of this year. Her poems have appeared in Poetry, Best American Poetry, New England Review, Kenyon Review, Michigan Quarterly Review, and elsewhere. She is an assistant professor of creative writing at Old Dominion University and teaches poetry in the Warren Wilson College MFA program for Writers

    Inauguración del XXIII Simposio Román Piña Chan. Zonas Arqueológicas en Contextos Urbanos. <p>XXIII Simposio Román Piña Chan.Zonas Arqueológicas en Contextos Urbanos<p>

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    El acto inaugural del XXIII Simposio Román Piña Chan “Zonas arqueológicas en contextos urbanos”, tuvo lugar el 6 de noviembre de 2018, en la Escuela Nacional de Antropología e Historia (ENAH). El Simposio fue inaugurado por el Antrop. Diego Prieto Hernández, Director General del Instituto Nacional de Antropología e Historia, en compañía de otras autoridades del INAH así como investigadores, docentes, alumnos y público en general.</p

    Opening Pandora’s Box

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    Equality in education is a complex and controversial issue that transcends the field of education and is subject to unique political, economic and cultural factors. The Organisation for Economic Co-operation and Development (OECD) (2007) suggests that “a fair and inclusive system that makes the advantages of education available to all is one of the most powerful levers to make society more equitable” (p.10). This belief is generated from its mission, which is to “ promote the policies that will improve the economic and social well-being of people around the world ” ( OECD, 2014, par 1 ) . In 2007, the OECD put forward ten practical steps which, it was hoped, would reduce school failure and make society fairer. The report offers an important, comparative perspective on how different countries have handled equity in education. It identified three key areas essential to the delivery of equity in education: the design of education systems, classroom practices, and resourcing. All countries have unique features in their education system. It is important to explore equity issues from a ‘within country’ perspective as well as from a comparative perspective.Hongzhi Zhang, Philip Wing Keung Chan & Christopher Boyl

    Anyuon Chan

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    abstract: Anyuon left his village in 1989 during the middle of the night. “Lost Boys Found” is an ongoing, interdisciplinary project that is collecting, recording and archiving the oral histories of the Lost Boys/Girls of Sudan. The collection is a work-in-progress, seeking to record the oral history of as many Lost Boys/Girls as are willing, and will be used in a future book.Age: 22Region: Bahr al GhazalThis picture and bio was donated to the Lost Boys Found project from The Arizona Lost Boys Cente

    Marianne Chan, 46th Annual ODU Literary Festival

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    Marianne Chan grew up in Stuttgart, Germany, and Lansing, Michigan. After she earned her B.A. in English from Michigan State University, she went on to study poetry at the University of Nevada, Las Vegas, where she earned her MFA. Marianne is the author of All Heathens, which was the winner of the 2021 GLCA New Writers Award in Poetry, the 2021 Ohioana Book Award in Poetry, and the 2022 Association for Asian American Studies Book Award for Outstanding Achievement. Her poems have appeared in Poetry Magazine, New England Review, Kenyon Review, Michigan Quarterly Review, and elsewhere. Between 2017-2019, she served as poetry editor for Split Lip Magazine. She is a Kundiman fellow. She lives in Norfolk, Virginia . She is married to the fiction writer Clancy McGilligan

    Learning Financial Investment Strategies using Reinforcement Learning and 'Chan theory'

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    We explored the potential of the Double DQN (Deep Q-learning) framework to trade on the stock market based on the S&P500 and Chinese Future market. In our work, human crafted features were used to capture the trends from the complex unstable, and dynamic financial time series. The feature engineering is based on `Chan' theory, which is a very popular trading system in Chinese financial market. Combined with the Double DQN's capability for searching policies, our experiment's results show the Double DQN model has competitive performance, which also shows the 'Chan theory' is a successful technology analysis methodology. In this research, we solved two problems: 1. Firstly introduce 'Chan Theory', a financial time series analysis method based on its past configurations, to formal paper. 2. The first time to combine the 'Chan theory' with machine learning models Keywords: Double-DQN; Chan theory; financial time series; feature engineering;1 yea

    Learning Financial Investment Strategies using Reinforcement Learning and 'Chan theory'

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    We explored the potential of Double DQN (Deep Q-learning) framework to trade on stock market based on S&P500 and Chinese Future market. In our work, human crafted features were used to capture the trend of the complex unstable and dynamic nancial time series. The feature engineering is based on `Chan' theory, which is popular trading system in Chinese nancial market. Combined with the Double DQN's capability for searching policies, the results of our experiment show the Double DQN model has competitive performance, which also shows the 'Chan theory' is a successful technology analysis methodology. In this research, we solved two problems: 1. Firstly introduce 'Chan Theory', a nancial time series analysis method based on its con gurations, to formal paper. 2. The rst time to combine the 'Chan theory' with machine learning model
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