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Gender and the Quest in British Science Fiction Television CRITICAL EXPLORATIONS in SCIENCE FICTION and FANTASY (A Series Edited by Donald E
Gender and the Quest in British Science Fiction Television CRITICAL EXPLORATIONS IN SCIENCE FICTION AND FANTASY (a series edited by Donald E. Palumbo and C.W. Sullivan III) 1 Worlds Apart? Dualism and Transgression in Contemporary Female Dystopias (Dunja M. Mohr, 2005) 2 Tolkien and Shakespeare: Essays on Shared Themes and Language (ed. Janet Brennan Croft, 2007) 3 Culture, Identities and Technology in the Star Wars Films: Essays on the Two Trilogies (ed. Carl Silvio, Tony M. Vinci, 2007) 4 The Influence of Star Trek on Television, Film and Culture (ed. Lincoln Geraghty, 2008) 5 Hugo Gernsback and the Century of Science Fiction (Gary Westfahl, 2007) 6 One Earth, One People: The Mythopoeic Fantasy Series of Ursula K. Le Guin, Lloyd Alexander, Madeleine L’Engle and Orson Scott Card (Marek Oziewicz, 2008) 7 The Evolution of Tolkien’s Mythology: A Study of the History of Middle-earth (Elizabeth A. Whittingham, 2008) 8 H. Beam Piper: A Biography (John F. Carr, 2008) 9 Dreams and Nightmares: Science and Technology in Myth and Fiction (Mordecai Roshwald, 2008) 10 Lilith in a New Light: Essays on the George MacDonald Fantasy Novel (ed. Lucas H. Harriman, 2008) 11 Feminist Narrative and the Supernatural: The Function of Fantastic Devices in Seven Recent Novels (Katherine J. Weese, 2008) 12 The Science of Fiction and the Fiction of Science: Collected Essays on SF Storytelling and the Gnostic Imagination (Frank McConnell, ed. Gary Westfahl, 2009) 13 Kim Stanley Robinson Maps the Unimaginable: Critical Essays (ed. William J. Burling, 2009) 14 The Inter-Galactic Playground: A Critical Study of Children’s and Teens’ Science Fiction (Farah Mendlesohn, 2009) 15 Science Fiction from Québec: A Postcolonial Study (Amy J. -
Apache Cassandra on AWS Whitepaper
Apache Cassandra on AWS Guidelines and Best Practices January 2016 Amazon Web Services – Apache Cassandra on AWS January 2016 © 2016, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document is provided for informational purposes only. It represents AWS’s current product offerings and practices as of the date of issue of this document, which are subject to change without notice. Customers are responsible for making their own independent assessment of the information in this document and any use of AWS’s products or services, each of which is provided “as is” without warranty of any kind, whether express or implied. This document does not create any warranties, representations, contractual commitments, conditions or assurances from AWS, its affiliates, suppliers or licensors. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. Page 2 of 52 Amazon Web Services – Apache Cassandra on AWS January 2016 Notices 2 Abstract 4 Introduction 4 NoSQL on AWS 5 Cassandra: A Brief Introduction 6 Cassandra: Key Terms and Concepts 6 Write Request Flow 8 Compaction 11 Read Request Flow 11 Cassandra: Resource Requirements 14 Storage and IO Requirements 14 Network Requirements 15 Memory Requirements 15 CPU Requirements 15 Planning Cassandra Clusters on AWS 16 Planning Regions and Availability Zones 16 Planning an Amazon Virtual Private Cloud 18 Planning Elastic Network Interfaces 19 Planning -
Apache Cassandra and Apache Spark Integration a Detailed Implementation
Apache Cassandra and Apache Spark Integration A detailed implementation Integrated Media Systems Center USC Spring 2015 Supervisor Dr. Cyrus Shahabi Student Name Stripelis Dimitrios 1 Contents 1. Introduction 2. Apache Cassandra Overview 3. Apache Cassandra Production Development 4. Apache Cassandra Running Requirements 5. Apache Cassandra Read/Write Requests using the Python API 6. Types of Cassandra Queries 7. Apache Spark Overview 8. Building the Spark Project 9. Spark Nodes Configuration 10. Building the Spark Cassandra Integration 11. Running the Spark-Cassandra Shell 12. Summary 2 1. Introduction This paper can be used as a reference guide for a detailed technical implementation of Apache Spark v. 1.2.1 and Apache Cassandra v. 2.0.13. The integration of both systems was deployed on Google Cloud servers using the RHEL operating system. The same guidelines can be easily applied to other operating systems (Linux based) as well with insignificant changes. Cluster Requirements: Software Java 1.7+ installed Python 2.7+ installed Ports A number of at least 7 ports in each node of the cluster must be constantly opened. For Apache Cassandra the following ports are the default ones and must be opened securely: 9042 - Cassandra native transport for clients 9160 - Cassandra Port for listening for clients 7000 - Cassandra TCP port for commands and data 7199 - JMX Port Cassandra For Apache Spark any 4 random ports should be also opened and secured, excluding ports 8080 and 4040 which are used by default from apache Spark for creating the Web UI of each application. It is highly advisable that one of the four random ports should be the port 7077, because it is the default port used by the Spark Master listening service. -
+14 Days of Tv Listings Free
CINEMA VOD SPORTS TECH + 14 DAYS OF TV LISTINGS 1 JUNE 2015 ISSUE 2 TVGUIDE.CO.UK TVDAILY.COM Jurassic World Orange is the New Black Formula 1 Addictive Apps FREE 1 JUNE 2015 Issue 2 Contents TVGUIDE.CO.UK TVDAILY.COM EDITOR’S LETTER 4 Latest TV News 17 Food We are living in a The biggest news from the world of television. Your television dinners sorted with revolutionary age for inspiration from our favourite dramas. television. Not only is the way we watch television being challenged by the emergence of video on 18 Travel demand, but what we watch on television is Journey to the dizzying desert of Dorne or becoming increasingly take a trip to see the stunning setting of diverse and, thankfully, starting to catch up with Downton Abbey. real world demographics. With Orange Is The New Black back for another run on Netflix this month, we 19 Fashion decided to celebrate the 6 Top 100 WTF Steal some shadespiration from the arduous journey it’s taken to get to where we are in coolest sunglass-wearing dudes on TV. 2015 (p14). We still have a Moments (Part 2) long way to go, but we’re The final countdown of the most unbelievable getting there. Sports Susan Brett, Editor scenes ever to grace the small screen, 20 including the electrifying number one. All you need to know about the upcoming TVGuide.co.uk Formula 1 and MotoGP races. 104-08 Oxford Street, London, W1D 1LP [email protected] 8 Cinema CONTENT 22 Addictive Apps Editor: Susan Brett Everything you need to know about what’s Deputy Editor: Ally Russell A handy guide to all the best apps for Artistic Director: Francisco on at the Box Office right now. -
Resampling Residuals on Phylogenetic Trees: Extended Results Peter J
Resampling Residuals on Phylogenetic Trees: Extended Results Peter J. Waddell1, Ariful Azad2 and Ishita Khan2 [email protected] 1Department of Biological Sciences, Purdue University, West Lafayette, IN 47906, U.S.A. 2Department of Computer Science, Purdue University, West Lafayette, IN 47906, U.S.A . In this article the results of Waddell and Azad (2009) are extended. In particular, the geometric percentage mean standard deviation measure of the fit of distances to a phylogenetic tree are adjusted for the number of parameters fitted on the tree. The formulae are also presented in their general form for any weight that is a function of the distance. The cell line gene expression data set of Ross et al. (2000) is reanalyzed. It is shown that ordinary least squares (OLS) is a much better fit to the data than a Neighbor Joining or BME tree. Residual resampling shows that cancer cell lines do indeed fit a tree fairly well and that the tree does have strong internal structure. Simulations show that least squares tree building methods, including OLS, are strong competitors with BME type methods for fitting model data, while real world examples often suggest the same conclusion. “… his ignorance and almost doe-like naivety is keeping his mind receptive to a possible solution.” A quotation from Kryten: Red Dwarf VIII-Cassandra Keywords: Resampled Residual Bootstrap, flexi-Weighted Least Squares Phylogenetic Trees fWLS, Balanced Minimum Evolution BME, Phylogenomics, Gene Expression Tree Waddell, Azad and Khan (2010). Extended Results of Residual Resampling on Trees Page 1 1 Introduction This article updates and extends some of the results in Waddell and Azad (2010). -
Illustrated Flora of East Texas Illustrated Flora of East Texas
ILLUSTRATED FLORA OF EAST TEXAS ILLUSTRATED FLORA OF EAST TEXAS IS PUBLISHED WITH THE SUPPORT OF: MAJOR BENEFACTORS: DAVID GIBSON AND WILL CRENSHAW DISCOVERY FUND U.S. FISH AND WILDLIFE FOUNDATION (NATIONAL PARK SERVICE, USDA FOREST SERVICE) TEXAS PARKS AND WILDLIFE DEPARTMENT SCOTT AND STUART GENTLING BENEFACTORS: NEW DOROTHEA L. LEONHARDT FOUNDATION (ANDREA C. HARKINS) TEMPLE-INLAND FOUNDATION SUMMERLEE FOUNDATION AMON G. CARTER FOUNDATION ROBERT J. O’KENNON PEG & BEN KEITH DORA & GORDON SYLVESTER DAVID & SUE NIVENS NATIVE PLANT SOCIETY OF TEXAS DAVID & MARGARET BAMBERGER GORDON MAY & KAREN WILLIAMSON JACOB & TERESE HERSHEY FOUNDATION INSTITUTIONAL SUPPORT: AUSTIN COLLEGE BOTANICAL RESEARCH INSTITUTE OF TEXAS SID RICHARDSON CAREER DEVELOPMENT FUND OF AUSTIN COLLEGE II OTHER CONTRIBUTORS: ALLDREDGE, LINDA & JACK HOLLEMAN, W.B. PETRUS, ELAINE J. BATTERBAE, SUSAN ROBERTS HOLT, JEAN & DUNCAN PRITCHETT, MARY H. BECK, NELL HUBER, MARY MAUD PRICE, DIANE BECKELMAN, SARA HUDSON, JIM & YONIE PRUESS, WARREN W. BENDER, LYNNE HULTMARK, GORDON & SARAH ROACH, ELIZABETH M. & ALLEN BIBB, NATHAN & BETTIE HUSTON, MELIA ROEBUCK, RICK & VICKI BOSWORTH, TONY JACOBS, BONNIE & LOUIS ROGNLIE, GLORIA & ERIC BOTTONE, LAURA BURKS JAMES, ROI & DEANNA ROUSH, LUCY BROWN, LARRY E. JEFFORDS, RUSSELL M. ROWE, BRIAN BRUSER, III, MR. & MRS. HENRY JOHN, SUE & PHIL ROZELL, JIMMY BURT, HELEN W. JONES, MARY LOU SANDLIN, MIKE CAMPBELL, KATHERINE & CHARLES KAHLE, GAIL SANDLIN, MR. & MRS. WILLIAM CARR, WILLIAM R. KARGES, JOANN SATTERWHITE, BEN CLARY, KAREN KEITH, ELIZABETH & ERIC SCHOENFELD, CARL COCHRAN, JOYCE LANEY, ELEANOR W. SCHULTZE, BETTY DAHLBERG, WALTER G. LAUGHLIN, DR. JAMES E. SCHULZE, PETER & HELEN DALLAS CHAPTER-NPSOT LECHE, BEVERLY SENNHAUSER, KELLY S. DAMEWOOD, LOGAN & ELEANOR LEWIS, PATRICIA SERLING, STEVEN DAMUTH, STEVEN LIGGIO, JOE SHANNON, LEILA HOUSEMAN DAVIS, ELLEN D. -
Implementing Replication for Predictability Within Apache Thrift Jianwei Tu the Ohio State University [email protected]
Implementing Replication for Predictability within Apache Thrift Jianwei Tu The Ohio State University [email protected] ABSTRACT have a large number of packets. A study indicated that about Interactive applications, such as search, social networking and 0.02% of all flows contributed more than 59.3% of the total retail, hosted in cloud data center generate large quantities of traffic volume [1]. TCP is the dominating transport protocol small workloads that require extremely low median and tail used in data center. However, the performance for short flows latency in order to provide soft real-time performance to users. in TCP is very poor: although in theory they can be finished These small workloads are known as short TCP flows. in 10-20 microseconds with 1G or 10G interconnects, the However, these short TCP flows experience long latencies actual flow completion time (FCT) is as high as tens of due in part to large workloads consuming most available milliseconds [2]. This is due in part to long flows consuming buffer in the switches. Imperfect routing algorithm such as some or all of the available buffers in the switches [3]. ECMP makes the matter even worse. We propose a transport Imperfect routing algorithms such as ECMP makes the matter mechanism using replication for predictability to achieve low even worse. State of the art forwarding in enterprise and data flow completion time (FCT) for short TCP flows. We center environment uses ECMP to statically direct flows implement replication for predictability within Apache Thrift across available paths using flow hashing. It doesn’t account transport layer that replicates each short TCP flow and sends for either current network utilization or flow size, and may out identical packets for both flows, then utilizes the first flow direct many long flows to the same path causing flash that finishes the transfer. -
Chapter 2 Introduction to Big Data Technology
Chapter 2 Introduction to Big data Technology Bilal Abu-Salih1, Pornpit Wongthongtham2 Dengya Zhu3 , Kit Yan Chan3 , Amit Rudra3 1The University of Jordan 2 The University of Western Australia 3 Curtin University Abstract: Big data is no more “all just hype” but widely applied in nearly all aspects of our business, governments, and organizations with the technology stack of AI. Its influences are far beyond a simple technique innovation but involves all rears in the world. This chapter will first have historical review of big data; followed by discussion of characteristics of big data, i.e. from the 3V’s to up 10V’s of big data. The chapter then introduces technology stacks for an organization to build a big data application, from infrastructure/platform/ecosystem to constructional units and components. Finally, we provide some big data online resources for reference. Keywords Big data, 3V of Big data, Cloud Computing, Data Lake, Enterprise Data Centre, PaaS, IaaS, SaaS, Hadoop, Spark, HBase, Information retrieval, Solr 2.1 Introduction The ability to exploit the ever-growing amounts of business-related data will al- low to comprehend what is emerging in the world. In this context, Big Data is one of the current major buzzwords [1]. Big Data (BD) is the technical term used in reference to the vast quantity of heterogeneous datasets which are created and spread rapidly, and for which the conventional techniques used to process, analyse, retrieve, store and visualise such massive sets of data are now unsuitable and inad- equate. This can be seen in many areas such as sensor-generated data, social media, uploading and downloading of digital media. -
Why Migrate from Mysql to Cassandra?
Why Migrate from MySQL to Cassandra? 1 Table of Contents Abstract ....................................................................................................................................................................................... 3 Introduction ............................................................................................................................................................................... 3 Why Stay with MySQL ........................................................................................................................................................... 3 Why Migrate from MySQL ................................................................................................................................................... 4 Architectural Limitations ........................................................................................................................................... 5 Data Model Limitations ............................................................................................................................................... 5 Scalability and Performance Limitations ............................................................................................................ 5 Why Migrate from MySQL ................................................................................................................................................... 6 A Technical Overview of Cassandra ..................................................................................................................... -
Apache Cassandra™ Architecture Inside Datastax Distribution of Apache Cassandra™
Apache Cassandra™ Architecture Inside DataStax Distribution of Apache Cassandra™ Inside DataStax Distribution of Apache Cassandra TABLE OF CONTENTS TABLE OF CONTENTS ......................................................................................................... 2 INTRODUCTION .................................................................................................................. 3 MOTIVATIONS FOR CASSANDRA ........................................................................................ 3 Dramatic changes in data management ....................................................................... 3 NoSQL databases ...................................................................................................... 3 About Cassandra ....................................................................................................... 4 WHERE CASSANDRA EXCELS ............................................................................................. 4 ARCHITECTURAL OVERVIEW .............................................................................................. 5 Highlights .................................................................................................................. 5 Cluster topology ......................................................................................................... 5 Logical ring structure .................................................................................................. 6 Queries, cluster-level replication ................................................................................ -
The Death of Tragedy: Examining Nietzsche's Return to the Greeks
Xavier University Exhibit Honors Bachelor of Arts Undergraduate 2018-4 The eD ath of Tragedy: Examining Nietzsche’s Return to the Greeks Brian R. Long Xavier University, Cincinnati, OH Follow this and additional works at: https://www.exhibit.xavier.edu/hab Part of the Ancient History, Greek and Roman through Late Antiquity Commons, Ancient Philosophy Commons, Classical Archaeology and Art History Commons, Classical Literature and Philology Commons, and the Other Classics Commons Recommended Citation Long, Brian R., "The eD ath of Tragedy: Examining Nietzsche’s Return to the Greeks" (2018). Honors Bachelor of Arts. 34. https://www.exhibit.xavier.edu/hab/34 This Capstone/Thesis is brought to you for free and open access by the Undergraduate at Exhibit. It has been accepted for inclusion in Honors Bachelor of Arts by an authorized administrator of Exhibit. For more information, please contact [email protected]. The Death of Tragedy: Examining Nietzsche’s Return to the Greeks Brian Long 1 Thesis Introduction In the study of philosophy, there are many dichotomies: Eastern philosophy versus Western philosophy, analytic versus continental, and so on. But none of these is as fundamental as the struggle between the ancients and the moderns. With the writings of Descartes, and perhaps even earlier with those of Machiavelli, there was a transition from “man in the world” to “man above the world.” Plato’s dialogues, Aristotle’s lecture notes, and the verses of the pre- Socratics are abandoned for having the wrong focus. No longer did philosophers seek to observe and question nature and man’s place in it; now the goal was mastery and possession of nature. -
21St-Century Narratives of World History
21st-Century Narratives of World History Global and Multidisciplinary Perspectives Edited by R. Charles Weller 21st-Century Narratives of World History [email protected] R. Charles Weller Editor 21st-Century Narratives of World History Global and Multidisciplinary Perspectives [email protected] Editor R. Charles Weller Department of History Washington State University Pullman, WA, USA and Center for Muslim-Christian Understanding Georgetown University Washington, DC, USA ISBN 978-3-319-62077-0 ISBN 978-3-319-62078-7 (eBook) DOI 10.1007/978-3-319-62078-7 Library of Congress Control Number: 2017945807 © The Editor(s) (if applicable) and The Author(s) 2017 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifcally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microflms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifc statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made.