9,422 research outputs found

    Moving Stronger: Needs of the Criminal Justice Reform Movement

    Get PDF
    Moving Stronger: Needs of the Criminal Justice Reform Movement presents the struggles, victories, strengths and challenges of grassroots groups organizing for criminal justice reform across the country. Drawn from a national survey and in-depth interviews with members and clients of these groups, the report offers the insights and analyses of long-time organizers and emerging leaders, in their own words.The project aimed to assess the state of grassroots organizing around a broad spectrum of criminal justice reform issues, with the goal of bringing critical information to funders and grassroots groups about the diverse needs, organizing approaches and campaigns of groups around the country. The report will be distributed and used among grassroots groups to support networking, information and resource sharing, collaborative work and coalition building

    Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior

    Full text link
    In the context of a high-dimensional linear regression model, we propose the use of an empirical correlation-adaptive prior that makes use of information in the observed predictor variable matrix to adaptively address high collinearity, determining if parameters associated with correlated predictors should be shrunk together or kept apart. Under suitable conditions, we prove that this empirical Bayes posterior concentrates around the true sparse parameter at the optimal rate asymptotically. A simplified version of a shotgun stochastic search algorithm is employed to implement the variable selection procedure, and we show, via simulation experiments across different settings and a real-data application, the favorable performance of the proposed method compared to existing methods.Comment: 25 pages, 4 figures, 2 table

    Experimental Verification of Bulk Metallic Glass Prediction from Machine Learning

    Get PDF
    From the Washington University Office of Undergraduate Research Digest (WUURD), Vol. 12, 05-01-2017. Published by the Office of Undergraduate Research. Joy Zalis Kiefer, Director of Undergraduate Research and Associate Dean in the College of Arts & Sciences; Lindsey Paunovich, Editor; Helen Human, Programs Manager and Assistant Dean in the College of Arts and Sciences Mentor: Ken Kelto

    Experimental Verification of Metallic Glass Prediction from Liquid Data

    Get PDF
    From the Washington University Office of Undergraduate Research Digest (WUURD), Vol. 13, 05-01-2018. Published by the Office of Undergraduate Research. Joy Zalis Kiefer, Director of Undergraduate Research and Associate Dean in the College of Arts & Sciences; Lindsey Paunovich, Editor; Helen Human, Programs Manager and Assistant Dean in the College of Arts and Sciences Mentor(s): Ken Kelto

    Grit Mobile: Data Collection App for the Grit Research Project

    Get PDF
    This project consists of one part of a larger University research project aimed at determining if active learning builds the character trait of grit in students while they learn in the domain of mechanical engineering. The research project has three goals: the development of a mobile app to measure the quantity and quality of active learning, a model of student success using the quantity and quality of active learning, and a characterization of the relationship between active learning and grit growth. This senior project focuses on the mobile app as part of the larger research project. The mobile app will provide users with the means to submit research data via their mobile phones. The mobile app, named \Grit Mobile , is developed for the Android platform. The mobile app is written in Java, using the Android SDKs. Additionally, the Parse platform is used for backend data collection and user management

    DEVELOPING AND BUILDING A LEAN BASED RFID ELECTRONIC KANBAN PROTOTYPE

    Get PDF
    The kanban system is a popular Toyota lean manufacturing tool used to help facilitate material movement between workstations and suppliers. Since the 1950’s, the original kanban system has undergone many different variations due to the advancement of technology and unique company implementation. This report focuses on the development and building of a new variation of the kanban system using lean principles while integrating radio frequency identification (RFID) technology with a fully electronic based kanban card system. This new type of kanban system will be called the RFID E-Kanban in this report. Since the lean philosophy is to reduce non-value added waste to a process, the new prototype kanban system meets four design objectives that are consistent with the principles of lean and the original purpose of the kanban system. The RFID E-Kanban prototype must support the process of continuous improvement The RFID E-Kanban prototype must reduce overall non-value added waste to the material flow process The RFID E-Kanban prototype must be intuitive and simple to use for the operator The RFID E-Kanban prototype control must be decentralized In an applied case study, a RFID E-Kanban prototype was built for a Department of Defense facility involving the movement of chemicals between two locations
    • …
    corecore