Commemorating the Retirement of R. Clifford Blair JMASM Editors
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Engineering Drawing (NSQF) - 1St Year Common for All Engineering Trades Under CTS (Not Applicable for Draughtsman Trade Group)
ENGINEERING DRAWING (NSQF) 1st Year Common for All Engineering Trades under CTS (Not applicable for Draughtsman Trade Group) (For all 1 Year & 2 Year Trades) DIRECTORATE GENERAL OF TRAINING MINISTRY OF SKILL DEVELOPMENT & ENTREPRENEURSHIP GOVERNMENT OF INDIA NATIONAL INSTRUCTIONAL MEDIA INSTITUTE, CHENNAI Post Box No. 3142, CTI Campus, Guindy, Chennai - 600 032 (i) Copyright Free. Under CC BY License. Engineering Drawing (NSQF) - 1st Year Common for all Engineering Trades under CTS (Not applicable for Draughtsman Trade Group) Developed & Published by National Instructional Media Institute Post Box No.3142 Guindy, Chennai - 32 INDIA Email: [email protected] Website: www.nimi.gov.in Printed by National Instructional Media Institute Chennai - 600 032 First Edition :November 2019 Rs.170/- © (ii) Copyright Free. Under CC BY License. FOREWORD The Government of India has set an ambitious target of imparting skills to 30 crores people, one out of every four Indians, by 2020 to help them secure jobs as part of the National Skills Development Policy. Industrial Training Institutes (ITIs) play a vital role in this process especially in terms of providing skilled manpower. Keeping this in mind, and for providing the current industry relevant skill training to Trainees, ITI syllabus has been recently updated with the help of comprising various stakeholder's viz. Industries, Entrepreneurs, Academicians and representatives from ITIs. The National Instructional Media Institute (NIMI), Chennai, has now come up with instructional material to suit the revised curriculum for Engineering Drawing 1st Year (For All 1 year & 2 year Trades) NSQF Commom for all engineering trades under CTS will help the trainees to get an international equivalency standard where their skill proficiency and competency will be duly recognized across the globe and this will also increase the scope of recognition of prior learning. -
Sculptor Nina Slobodinskaya (1898-1984)
1 de 2 SCULPTOR NINA SLOBODINSKAYA (1898-1984). LIFE AND SEARCH OF CREATIVE BOUNDARIES IN THE SOVIET EPOCH Anastasia GNEZDILOVA Dipòsit legal: Gi. 2081-2016 http://hdl.handle.net/10803/334701 http://creativecommons.org/licenses/by/4.0/deed.ca Aquesta obra està subjecta a una llicència Creative Commons Reconeixement Esta obra está bajo una licencia Creative Commons Reconocimiento This work is licensed under a Creative Commons Attribution licence TESI DOCTORAL Sculptor Nina Slobodinskaya (1898 -1984) Life and Search of Creative Boundaries in the Soviet Epoch Anastasia Gnezdilova 2015 TESI DOCTORAL Sculptor Nina Slobodinskaya (1898-1984) Life and Search of Creative Boundaries in the Soviet Epoch Anastasia Gnezdilova 2015 Programa de doctorat: Ciències humanes I de la cultura Dirigida per: Dra. Maria-Josep Balsach i Peig Memòria presentada per optar al títol de doctora per la Universitat de Girona 1 2 Acknowledgments First of all I would like to thank my scientific tutor Maria-Josep Balsach I Peig, who inspired and encouraged me to work on subject which truly interested me, but I did not dare considering to work on it, although it was most actual, despite all seeming difficulties. Her invaluable support and wise and unfailing guiadance throughthout all work periods were crucial as returned hope and belief in proper forces in moments of despair and finally to bring my study to a conclusion. My research would not be realized without constant sacrifices, enormous patience, encouragement and understanding, moral support, good advices, and faith in me of all my family: my husband Daniel, my parents Andrey and Tamara, my ount Liubov, my children Iaroslav and Maria, my parents-in-law Francesc and Maria –Antonia, and my sister-in-law Silvia. -
Tessellation Techniques
Tessellation Techniques Stefanie Mandelbaum Jacqueline S. Guttman 118 Tunicflower Lane West Windsor, NJ 08550, USA E-mail [email protected] Abstract Tessellations are continuous repetitions of the same geometric or organic shape, a tile or tessera in Latin . Inspired by the abstract tessellations of the Alhambra, aided by a correspondence with Coxeter, Escher developed a method of transforming polygonal tessellations into representational tessellations of organic shapes. Mathematical Presentation Tessellations of polygons can be edge-to-edge and vertex-to-vertex (Fig. 1) or translated to be edge-to- edge but not vertex-to-vertex (Fig. 2). Figure 1: Quadrilaterals, edge-to-edge and vertex-to-vertex Figure 2: Quadrilaterals, translated Escher first determined which polygons could tessellate by themselves, e.g. triangles, quadrilaterals, regular hexagons (Figs. 3 and 4 ), and which could not, e.g. regular octagons and regular pentagons (Fig. 5). (A polygon is regular if all of its sides and interior angles are congruent.) Figure 3: Quadrilaterals Figure 4: Triangles Figure 5: Regular Pentagons At the vertex of a tessellation, the sum of the angles of the adjacent polygons is 360 degrees. So, for example, a regular hexagon can tessellate by itself because at the vertex of the tessellation the sum of the angles is 360 degrees, each of the three adjoining angles being 120 degrees (Fig. 6). Conversely, regular octagons cannot tessellate by themselves because each angle of a regular octagon is 135 degrees and 135 is not a factor of 360 (Fig. 7). 2(135)=270. 360-270=90. Therefore, the other polygon needed to complete the tessellation is a square. -
Strength in Numbers: the Rising of Academic Statistics Departments In
Agresti · Meng Agresti Eds. Alan Agresti · Xiao-Li Meng Editors Strength in Numbers: The Rising of Academic Statistics DepartmentsStatistics in the U.S. Rising of Academic The in Numbers: Strength Statistics Departments in the U.S. Strength in Numbers: The Rising of Academic Statistics Departments in the U.S. Alan Agresti • Xiao-Li Meng Editors Strength in Numbers: The Rising of Academic Statistics Departments in the U.S. 123 Editors Alan Agresti Xiao-Li Meng Department of Statistics Department of Statistics University of Florida Harvard University Gainesville, FL Cambridge, MA USA USA ISBN 978-1-4614-3648-5 ISBN 978-1-4614-3649-2 (eBook) DOI 10.1007/978-1-4614-3649-2 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2012942702 Ó Springer Science+Business Media New York 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. -
SOFTIMAGE|XSI Application Uses Jscript and Visual Basic Scripting Edition from Microsoft Corporation
SOFTIMAGE®|XSI® Version 4.0 Modeling & Deformations © 1999–2004 Avid Technology, Inc. All rights reserved. Avid, meta–clay, SOFTIMAGE, XSI, and the XSI logo are either registered trademarks or trademarks of Avid Technology, Inc. in the United States and/ or other countries. mental ray and mental images are registered trademarks of mental images GmbH & Co. KG in the U.S.A. and some other countries. mental ray Phenomenon, mental ray Phenomena, Phenomenon, Phenomena, Software Protection Manager, and SPM are trademarks or, in some countries, registered trademarks of mental images GmbH & Co. KG. All other trademarks contained herein are the property of their respective owners. This software includes the Python Release 2.3.2 software. The Python software is: Copyright © 2001, 2002, 2003 Python Software Foundation. All rights reserved. Copyright © 2000 BeOpen.com. All rights reserved. Copyright © 1995-2000 Corporation for National Research Initiatives. All rights reserved. Copyright © 1991-1995 Stichting Mathematisch Centrum. All rights reserved. The SOFTIMAGE|XSI application uses JScript and Visual Basic Scripting Edition from Microsoft Corporation. Activision is a registered trademark of Activision, Inc. © 1998 Activision, Inc. Battlezone is a trademark of and © 1998 Atari Interactive, Inc., a Hasbro company. All rights reserved. Licensed by Activision. This document is protected under copyright law. The contents of this document may not be copied or duplicated in any form, in whole or in part, without the express written permission of Avid Technology, Inc. This document is supplied as a guide for the Softimage product. Reasonable care has been taken in preparing the information it contains. However, this document may contain omissions, technical inaccuracies, or typographical errors. -
Erich Leo Lehmann, 19172009
J. R. Statist. Soc. A (2010) 173, Part 3, pp. 683–689 Obituaries Erich Leo Lehmann, 1917–2009 Erich L. Lehmann, Professor Emeritus at the University of California, Berkeley, passed away on September 12th, 2009, aged 91 years. Erich was one of the engines that drove much of the development of theoretical and mainstream statistics during the second half of the 20th century. At the same time he kept himself aware of developments in applied statistics and prob- ability. He knew both the subject matter and the individuals developing our subject. He was a member of the powerful team of individuals that Jerzy Neyman built up at Berkeley in the 1950s. These included David Blackwell, Joe Hodges, Lucien Le Cam, Michel Loève, Henry Scheffé and Elizabeth Scott. Erich co-authored articles with each, except for the probabilist Loève. Erich was born in Strasbourg, France, on November 20th, 1917. His family moved to Frank- furt where they lived until 1933. When the Nazis came into power the family fled to Switzerland where Erich went to high school. In 1938, following his father’s advice, he went to study math- ematics at Trinity College, Cambridge. Erich remarked that he was ‘always the best student in mathematics’, but he did not enjoy the accompanying astronomy and physics. Of the latter he said ‘I hated it’ (in ‘A conversation with Erich L. Lehmann’, with Morris DeGroot, in volume 1 of Statistical Science (1986)). In 1940, again influenced by his father, Erich went to New York and then following a suggestion by R. Courant he crossed the country to study at Berkeley. -
Peeking at A/B Tests Why It MaErs, and What to Do About It
KDD 2017 Applied Data Science Paper KDD’17, August 13–17, 2017, Halifax, NS, Canada Peeking at A/B Tests Why it maers, and what to do about it Ramesh Johari∗ Pete Koomen† Stanford University Optimizely, Inc. [email protected] Leonid Pekelis‡ David Walsh§ Optimizely, Inc. Stanford University [email protected] [email protected] ABSTRACT obtain a very simple “user interface”, because these measures isolate is paper reports on novel statistical methodology, which has been the task of analyzing experiments from the details of their design deployed by the commercial A/B testing platform Optimizely to and implementation. communicate experimental results to their customers. Our method- Crucially, the inferential validity of these p-values and con- ology addresses the issue that traditional p-values and condence dence intervals requires the separation between the design and intervals give unreliable inference. is is because users of A/B analysis of experiments to be strictly maintained. In particular, the testing soware are known to continuously monitor these measures sample size must be xed in advance. Compare this to A/B testing as the experiment is running. We provide always valid p-values practice, where users oen continuously monitor the p-values and and condence intervals that are provably robust to this eect. condence intervals reported in order to re-adjust the sample size Not only does this make it safe for a user to continuously monitor, of an experiment dynamically [14]. Figure 1 shows a typical A/B but it empowers her to detect true eects more eciently. is testing dashboard that enables such behavior. -
Slavic Scholar and Educator Pyotr Bezsonov (1827-1898): a Life and Legacy
E-ISSN 2281-4612 Academic Journal of Interdisciplinary Studies Vol 10 No 3 May 2021 ISSN 2281-3993 www.richtmann.org . Research Article © 2021 Kaplin et al.. This is an open access article licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) Received: 17 February 2021 / Accepted: 9 April 2021 / Published: 10 May 2021 Slavic Scholar and Educator Pyotr Bezsonov (1827-1898): A Life and Legacy Alexander Kaplin Department of Historiography, Source Studies and Archeology, V.N. Karazin Kharkiv National University, Kharkiv, Ukraine Olha Honcharova Department of Theory and Practice of the English Language, H.S. Skovoroda Kharkiv National Pedagogical University, Kharkiv, Ukraine Valentyna Hlushych Professor Leonid Ushkalov Ukrainian Literature and Journalism Department, H.S. Skovoroda Kharkiv National Pedagogical University, Kharkiv, Ukraine Halyna Marykivska Department of Social and Humanitarian Disciplines, Kharkiv National University of Internal Affairs, Kharkiv, Ukraine Viktoriia Budianska Department of Pedagogy, Foreign Philology and Translation, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine Svitlana Lavinda Department of Ukrainian and Russian as Foreign Languages, O.M. Beketov Kharkiv National University of Urban Economy, Kharkiv, Ukraine DOI: https://doi.org/10.36941/ajis-2021-0070 Abstract Nowadays the name of Pyotr Bezsonov, the acknowledged in pre-revolutionary Russia scholar, is known to but a narrow circle of researchers as some myths and stereotypes about him have proved difficult to overwhelm. Yet, he traced in the history of Slavic studies as an assiduous collector of ancient Russian and Slavic literature works and explorer of Bulgarian, Belarusian and Serbian folklore, folk songs in particular, a scrutinizer of the Slavic languages and dialects, a talented pedagogue and editor. -
Erich L. Lehmann, the Lehmann Symposia, and November 20Th 1917 3
IMS Collections Vol. 0 (2009) 1{7 c Institute of Mathematical Statistics, 2009 1 1 arXiv: math.PR/0000021 2 2 3 3 4 Erich L. Lehmann, The Lehmann 4 5 5 th 6 Symposia, and November 20 1917 6 7 7 8 Javier Rojo?? 8 9 9 Rice University 10 10 11 11 12 12 13 The Lehmann Symposia originated as a result of a conversation I had in the 13 14 year 2001 with the, then, Director of the Centro de Investigaci´onen Matem´aticas 14 15 (CIMAT), Victor P´erez-Abreu.We both felt that there was an urgent need to 15 16 bring back into focus theoretical statistics and our proposed solution was a series 16 17 of Symposia that could serve as a forum for some of the exciting theoretical work 17 18 being done in statistics. The First Lehmann Symposium took place at CIMAT in 18 19 May of 2002. Most of the participants were Mexican colleagues. The program can 19 20 be seen at the site http://www.stat.rice.edu/lehmann/1st-Lehmann.html. The 20 21 second Lehmann Symposium { http://www.stat.rice.edu/lehmann/ { was held 21 22 in May of 2004 at the School of Engineering at Rice University. Initially, the venues 22 23 for the Symposia would alternate between CIMAT and Rice University. However, 23 24 for various reasons, some being financial, it was decided to hold the 3rd Lehmann 24 25 Symposium in the United States. 25 26 The original plans for the Third Lehmann Symposium were to hold the sym- 26 27 posium at the Mathematical Sciences Research Institute (MSRI) in Berkeley dur- 27 28 ing the month of November of 2007. -
Fundamental Theorems in Mathematics
SOME FUNDAMENTAL THEOREMS IN MATHEMATICS OLIVER KNILL Abstract. An expository hitchhikers guide to some theorems in mathematics. Criteria for the current list of 243 theorems are whether the result can be formulated elegantly, whether it is beautiful or useful and whether it could serve as a guide [6] without leading to panic. The order is not a ranking but ordered along a time-line when things were writ- ten down. Since [556] stated “a mathematical theorem only becomes beautiful if presented as a crown jewel within a context" we try sometimes to give some context. Of course, any such list of theorems is a matter of personal preferences, taste and limitations. The num- ber of theorems is arbitrary, the initial obvious goal was 42 but that number got eventually surpassed as it is hard to stop, once started. As a compensation, there are 42 “tweetable" theorems with included proofs. More comments on the choice of the theorems is included in an epilogue. For literature on general mathematics, see [193, 189, 29, 235, 254, 619, 412, 138], for history [217, 625, 376, 73, 46, 208, 379, 365, 690, 113, 618, 79, 259, 341], for popular, beautiful or elegant things [12, 529, 201, 182, 17, 672, 673, 44, 204, 190, 245, 446, 616, 303, 201, 2, 127, 146, 128, 502, 261, 172]. For comprehensive overviews in large parts of math- ematics, [74, 165, 166, 51, 593] or predictions on developments [47]. For reflections about mathematics in general [145, 455, 45, 306, 439, 99, 561]. Encyclopedic source examples are [188, 705, 670, 102, 192, 152, 221, 191, 111, 635]. -
Geometryassessments Algebra II Assessments
Geometry}iLÀ>Ê AssessmentsÃÃiÃÃiÌÃ «iÀvÀ>ViÊÌ>ÃÃÊ>}i`ÊÌÊÌ iÊ/iÝ>ÃÊÃÌ>`>À`Ã The Charles A. Dana Center >ÌÊ/ iÊ1ÛiÀÃÌÞÊvÊ/iÝ>ÃÊ>ÌÊÕÃÌ ! PUBLICATION OF THE #HARLES ! $ANA #ENTER AN ORGANIZED RESEARCH UNIT OF 4HE 5NIVERSITY OF 4EXAS AT !USTIN About The University of Texas at Austin Charles A. Dana Center The Charles A. Dana Center supports education leaders and policymakers in strengthening education. As a research unit of The University of Texas at Austin’s College of Natural Sciences, the Dana Center maintains a special emphasis on mathematics and science education. The Dana Center’s mission is to strengthen the mathematics and science preparation and achievement of all students through supporting alignment of all the key components of mathematics and science education, prekindergarten–16: the state standards, accountability system, assessment, and teacher preparation. We focus our efforts on providing resources to help local communities meet the demands of the education system—by working with leaders, teachers, and students through our Instructional Support System; by strengthening mathematics and science professional development; and by publishing and disseminating mathematics and science education resources. About the development of this book The Charles A. Dana Center has developed this standards-aligned mathematics education resource for mathematics teachers. The development and production of the first edition of Geometry Assessments was supported by the National Science Foundation and the Charles A. Dana Center at the University of Texas at Austin. The development and production of this second edition was supported by the Charles A. Dana Center. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or The University of Texas at Austin. -
MYSTERIES of the EQUILATERAL TRIANGLE, First Published 2010
MYSTERIES OF THE EQUILATERAL TRIANGLE Brian J. McCartin Applied Mathematics Kettering University HIKARI LT D HIKARI LTD Hikari Ltd is a publisher of international scientific journals and books. www.m-hikari.com Brian J. McCartin, MYSTERIES OF THE EQUILATERAL TRIANGLE, First published 2010. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without the prior permission of the publisher Hikari Ltd. ISBN 978-954-91999-5-6 Copyright c 2010 by Brian J. McCartin Typeset using LATEX. Mathematics Subject Classification: 00A08, 00A09, 00A69, 01A05, 01A70, 51M04, 97U40 Keywords: equilateral triangle, history of mathematics, mathematical bi- ography, recreational mathematics, mathematics competitions, applied math- ematics Published by Hikari Ltd Dedicated to our beloved Beta Katzenteufel for completing our equilateral triangle. Euclid and the Equilateral Triangle (Elements: Book I, Proposition 1) Preface v PREFACE Welcome to Mysteries of the Equilateral Triangle (MOTET), my collection of equilateral triangular arcana. While at first sight this might seem an id- iosyncratic choice of subject matter for such a detailed and elaborate study, a moment’s reflection reveals the worthiness of its selection. Human beings, “being as they be”, tend to take for granted some of their greatest discoveries (witness the wheel, fire, language, music,...). In Mathe- matics, the once flourishing topic of Triangle Geometry has turned fallow and fallen out of vogue (although Phil Davis offers us hope that it may be resusci- tated by The Computer [70]). A regrettable casualty of this general decline in prominence has been the Equilateral Triangle. Yet, the facts remain that Mathematics resides at the very core of human civilization, Geometry lies at the structural heart of Mathematics and the Equilateral Triangle provides one of the marble pillars of Geometry.