Global Corporate Citizenship
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SSC-CGL-General-Awareness-1150
Stay Connected With SPNotifier Click Here to Download the EBooks for several exams Click Here to Check the topics related to SSC CGL SSC CGL ID Verification SSC CGL Instructions SSC CGL Exam Duration SSC CGL Test Day FAQ Join us on Telegram Channel SSC CGL General Awareness Previous Years Questions S.No Questions Answers 1. Scientific study of plant Pollen, spores and certain Palynology microscopic planktonic organism is called 2. Branch of zoology concerned with the study of Herpetology amphibians is called 3. Study of the micro anatomy of cells, tissues and organs as Histology seenthrough a microscope is called 4. Kala Bhavana, founded in 1919 is a noted Institution of West Bengal education and research in visual arts. It is located in 5. Which pass connects Tawang with Lhasa? Bum La pass 6. Poush Mela displays local artisans displaying folk dances, West Bengal music,food and culture of 7. In March 2019, who among the following was appointed Justice Pinaki Chandra Ghosh as India' first Lokpal? 8. The invasion of Timur in ______ AD marked the end of 1398 Tughlaq Empire 9. Janku is a unique cultural custom followed in ________ as Nepal a Celebration of life 10. As a reaction to Rowlatt Act, ___________ was organized 6th April 1919 as National Humiliation Day. 11. Who was the first Indian to receive the Raman Magsaysay Acharya Vinoba Award for his contribution to community leadership? Bhave 12. What is the term used to describe the angular distance of Latitude a place North or South of Earth's equator? 13. -
Shifting End Markets and Upgrading Prospects in Global Value Chains
SHIFTING END MARKETS AND UPGRADING PROSPECTS IN GLOBAL VALUE CHAINS Guest Editors Cornelia Staritz International Trade Department, World Bank, 1818 H Street NW, Washington, D.C., 20433, USA E-mail: [email protected] Gary Gereffi Department of Sociology, Duke University, 264 Sociology/Psychology Building, Durham, NC, 27708-0088, USA E-mail: [email protected] Olivier Cattaneo Groupe d’Economie Mondiale de SciencesPo, 28 Rue des Saints Pères, 75007, Paris, France E-mail: [email protected] Published by Inderscience Enterprises Ltd. Int. J. Technological Learning, Innovation and Development, Vol. 4, Nos. 1/2/3, 2011 Contents SPECIAL ISSUE: SHIFTING END MARKETS AND UPGRADING PROSPECTS IN GLOBAL VALUE CHAINS Guest Editors: Cornelia Staritz, Gary Gereffi and Olivier Cattaneo 1 Editorial Cornelia Staritz, Gary Gereffi and Olivier Cattaneo 13 What are the implications for global value chains when the market shifts from the North to the South? Raphael Kaplinsky and Masuma Farooki 39 Upgrading of smallholder agro-food production in Africa: the role of lead firm strategies and new markets Niels Fold and Marianne Nylandsted Larsen 67 Upgrading and restructuring in the global apparel value chain: why China and Asia are outperforming Mexico and Central America Stacey Frederick and Gary Gereffi 96 Value chain dynamics, local embeddedness, and upgrading in the clothing sectors of Lesotho and Swaziland Mike Morris, Cornelia Staritz and Justin Barnes 120 Global value chains in the electronics industry: characteristics, crisis, and upgrading opportunities for firms from developing countries Timothy J. Sturgeon and Momoko Kawakami 148 Going mobile in China: shifting value chains and upgrading in the mobile telecom sector Loren Brandt and Eric Thun 181 Global value chains in the automotive industry: an enhanced role for developing countries? Timothy J. -
2500+ General Knowledge Questions
hange XC E - di F to D r P Visit : noori08.wordpress.com for more w w m w Click to BUY NOW! o . .c tr e ac ar ker-softw 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678“There are no secrets to 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678success. It is the result 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 1234567890123456789012345678901212345678901234567890123456789012123456789012345678 -
University of Ilorin at 40: the Soaring Eagle
UNIVERSITY OF ILORIN AT 40: THE SOARING EAGLE Editor-in-Chief N.Y.S. Ijaiya i NATIONAL LIBRARY OF NIGERIA CATALOGUING-IN-PUBLICATION University of Ilorin University of Ilorin at 40: The Soaring Eagle 1. University of Ilorin (1975-2015) I. Title LG481 .153 .U58 2015 ISBN: 978-978-52482-3-4 (pbk) AACR2 Note: DDC: 378 .66957. Published by University of Ilorin, Ilorin, Nigeria Printed by Unilorin Press, Ilorin, Nigeria ii Edited by N.Y.S. Ijaiya A.B. Olayemi Y.A. Quadri A.S. Olorundare V.A. Alabi F.A.O. Olasehinde-Williams A.Y. Abdulkareem O.A. Mokuolu I.A. Jawondo M.A. Adedimeji K.I. Akogun C.O. Olumorin iii BLANK iv FOREWORD It is just like yesterday that the University of Ilorin was established along with six other Nigerian universities in 1975. The University began to fledge immediately after it was established such that a few years later, it was already soaring above its peers and competing with the stars of the Nigerian university system. To the glory of God and in tandem with the vision of its founding fathers, the University of Ilorin today has transcended the level of being “one of the fastest growing second-generation universities”, as it was described 15 years ago by its former Vice- Chancellor, Prof. Shuaibu Oba Abdulraheem, during the 25th anniversary and 20th convocation ceremonies. Today, the generation the University belongs to has morphed into insignificance as it has become undoubtedly a foremost university not only in the country but also in the continent with verifiable evidence. -
Statistical Inference
Statistical Inference Kosuke Imai Department of Politics Princeton University Fall 2011 Kosuke Imai (Princeton University) Statistical Inference POL 345 Lecture 1 / 46 What is Statistical Inference? READING: FPP Chapter 19 Guessing what you do not observe from what you do observe Start with the probability model with some unknown parameters θ Use the data to estimate the parameters θ^ Compute uncertainty of your estimates Sampling distribution of θ^ ^ Estimation error: θ − θ0 where θ0 is the true value ^ Bias: B = E(θ) − θ0 Efficiency: V(θ^) ^ 2 2 ^ Mean Squared Error (MSE): E(θ − θ0) = B + V(θ) ^ Consistency: θ ! θ0 as n increases Kosuke Imai (Princeton University) Statistical Inference POL 345 Lecture 2 / 46 The 1936 Literary Digest Poll Source: automobile registration, telephone books, etc. Initial sample size: over 10 million straw vote ballots Final sample size: over 2.3 million returned The young Gallup used 50,000 respondents FDR’s vote share Literary Digest 43 George Gallup 56 Gallup’s prediction of LD 44 Actual Outcome 62 Kosuke Imai (Princeton University) Statistical Inference POL 345 Lecture 3 / 46 The 1948 Election Kosuke Imai (Princeton University) Statistical Inference POL 345 Lecture 4 / 46 The Polling Disaster Truman Dewey Thurmond Wallace Crossley 45 50 2 3 Gallup 44 50 2 4 Roper 38 53 5 4 Actual Outcome 50 45 3 2 Quota sampling fixed quota of certain respondents for each interviewer sample resembles the population w.r.t. these characteristics potential selection bias Kosuke Imai (Princeton University) Statistical Inference -
Basic Principles of Statistical Inference
Basic Principles of Statistical Inference Kosuke Imai Department of Politics Princeton University POL572 Quantitative Analysis II Spring 2016 Kosuke Imai (Princeton) Basic Principles POL572 Spring 2016 1 / 66 What is Statistics? Relatively new discipline Scientific revolution in the 20th century Data and computing revolutions in the 21st century The world is stochastic rather than deterministic Probability theory used to model stochastic events Statistical inference: Learning about what we do not observe (parameters) using what we observe (data) Without statistics:wildguess With statistics: principled guess 1 assumptions 2 formal properties 3 measure of uncertainty Kosuke Imai (Princeton) Basic Principles POL572 Spring 2016 2 / 66 Three Modes of Statistical Inference 1 Descriptive Inference: summarizing and exploring data Inferring “ideal points” from rollcall votes Inferring “topics” from texts and speeches Inferring “social networks” from surveys 2 Predictive Inference: forecasting out-of-sample data points Inferring future state failures from past failures Inferring population average turnout from a sample of voters Inferring individual level behavior from aggregate data 3 Causal Inference: predicting counterfactuals Inferring the effects of ethnic minority rule on civil war onset Inferring why incumbency status affects election outcomes Inferring whether the lack of war among democracies can be attributed to regime types Kosuke Imai (Princeton) Basic Principles POL572 Spring 2016 3 / 66 Statistics for Social Scientists Quantitative -
From Paul the Octopus to Achilles the Cat – Proper Names of Animals Which Predict the Outcomes of Sports Competitions
FOLIA ONOMASTICA CROATICA 29 (2020) DOI https://dx.doi.org/10.21857/mwo1vcjv7y UDK 81'373.22:398.95=111 Izvorni znanstveni rad Rukopis primljen 1. III. 2020. Prihvaćen za tisak 8. VI. 2020. Joža Horvat Institut za hrvatski jezik i jezikoslovlje Ulica Republike Austrije 16, HR-10000 Zagreb [email protected] FROM PAUL THE OCTOPUS TO ACHILLES THE CAT – PROPER NAMES OF ANIMALS WHICH PREDICT THE OUTCOMES OF SPORTS COMPETITIONS In this paper, proper names of animals which predicted the outcomes of sports competitions are analyzed. A representative corpus containing over 200 zoo- nyms has been collected by means of excerpting from numerous, mostly on- line sources from different countries. The corpus is classified in line with the semantic-motivational criterion (i.e. according to the meaning of the word or stem from which an individual zoonym was formed), while determining the shares of individual motivational groups. The results of the analysis are com- pared with the results of research of other zoonymic layers with the aim of de- termining the specificities of animal namegiving. The paper is accompanied by an alphabetical list of collected zoonyms with information about the type of animal, the country where the animal lived when it predicted the outcomes of sports competitions and the sports competition the outcome of which it pre- dicted. 1. Introduction 1.1. Theoretical framework In order to precisely identify and differentiate a particular relevant referent among other referents of the same kind, we give it a name. This procedure is also applicable when the referents are animals, that is, individual animals, as animal proper names are used in communication among people (in order to talk about a specific individual animal), but also when communicating with the animal itself (in order to call it, teach it, train it, direct it and similar). -
International Corporate Finance M&A • Private Equity • Banking & Finance • Tax • Antitrust
2016 EDITION INTERNATIONAL CORPORATE FINANCE M&A • PRIVATE EQUITY • BANKING & FINANCE • TAX • ANTITRUST Marco De Benedetti The Carlyle Group P. 54 Tania Daguere-Lindbäck Blackstone P. 38 Augusto Lima Anheuser-Busch InBev P. 45 Louis Schweitzer Renault P. 41 Luciane Ribeiro Santander Brasil Asset Management P. 37 Benedict Oramah Afreximbank P. 49 Mathilde Bluteau Microsoft France P. 35 Gaurav Malik Philips Lighting P. 42 Giselle Luna de Mello Wells Fargo GFI RANKINGS P. 51 AMERICAS P.67 EXTERNAL CONTRIBUTORS EXECUTIVE SUMMARY EUROPE P.149 EXPERT VIEWS P.326 THE GLOBAL MARKET: ASIA P.301 Jeff Immelt MONEY TALKS P.12 TOP ADVISORS DIRECTORY Argentina, Brazil, Canada, Chile, Colombia, GE PRIVATE EQUITY FIRMS P.334 Mexico, Peru, Uruguay, USA, Austria, Belgium, 50 LEADERS P. 42 France, Germany, Italy, Luxembourg, Netherlands, INVESTMENT BANKS THE 50 PEOPLE OF THE YEAR Poland, Portugal, Russia, Spain, Switzerland, UK, & FINANCIAL ADVISORS P.337 IN CORPORATE FINANCE P.34 China, India, Japan EXECUTIVE SEARCH & ADVISORY P.341 LAW FIRMS P.342 Customized legal and fi nancial translation services HIGHLY SPECIALIZED LEGAL AND FINANCIAL TRANSLATION SERVICES ■ A skilled, experienced and dynamic team of in-house fi nancial and legal translators ■ Project managers capable of handling all types of projects ■ A network of highly-skilled freelance translators ■ Ability to rapidly meet the constraints of our specialist sectors ■ An in-depth awareness of clients’ needs Legal translation Financial translation ■ Arbitration and litigation ■ Invest ment funds ■ International Trade ■ Banking ■ Corporate fi nance ■ Real Estate ■ Asset Management ■ Mining, Petroleum ■ Private Equity ■ Intellectual Property ■ Information Technology ■ International organisations We specialise in Investment Funds Over the past 10 years, Tradewords has built up a network of leading European fund specia- lists. -
Download Standard Deviations: Flawed Assumptions, Tortured Data
STANDARD DEVIATIONS: FLAWED ASSUMPTIONS, TORTURED DATA, AND OTHER WAYS TO LIE WITH STATISTICS DOWNLOAD FREE BOOK Dr Gary Smith | 326 pages | 21 Jul 2015 | Overlook Press | 9781468311020 | English | United States Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith has solved this puzzle, and many more in all walks of life, Standard Deviations: Flawed Assumptions the concept of regression to the mean, one of the most powerful and least understood factors in how things turn out in life. Standard Deviations: Flawed Assumptions chances of this large a disparity by luck alone is about 1 inGary Smith. The fact that he thought this would attract investors Standard Deviations: Flawed Assumptions something about him—and perhaps his customers. Paul was not a psychic surprise, surprisebut he is a warning of things to watch out for the next time you hear some fanciful claim. He discovered that the French government had produced several mathematical tables using an automated human system. Revealing ties to the valley shared by dozens of American Professor Smith uses simple reasoning and vivid examples to help us decipher truth from fiction, thereby helping us to make better decisions. If we knew that behind the reported test were Tortured Data of unreported tests and remember that, on average, one out of every Tortured Data tests of worthless theories will be statistically significant, we would surely view what does get reported with more skepticism. If we did well wearing these socks, then it must be that these socks help us do well. This situation seems a bit odd to me, perhaps a bit sly? Ideally, we compare two random samples of healthy individuals.