Topic maps are a new ISO standard for describing knowledge structures and associating them with information resources. As such they constitute an enabling technology for knowledge management. Dubbed "the GPS of the information universe"‚ topic maps are also destined to provide powerful new ways of navigating large and interconnected corpora. While it is possible to represent immensely complex structures using topic maps‚ the basic concepts of the model Topics‚ Associations‚ and Occurrences
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ACCESS TO NUTRITION INDEX GLOBAL INDEX 2013 Acknowledgements FUNDERS The Access to Nutrition Index (ATNI) would not have been possible without the generous support of the Global Alliance for Improved Nutrition (GAIN)‚ the Bill & Melinda Gates Foundation and the Wellcome Trust. ATNI was developed by GAIN’s Innovative Finance Program. Led by Chris Walker‚ the ATNI development team consisted of Michael Park and Valerie Pillonel‚ along with external consultants Craig Courtney‚ Rachel Crossley‚ and
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This article appeared in Corporate page of The Edge Malaysia‚ Issue 814‚ July 12 - 18‚ 2010 Quantitative Analysis… for football managers By Jasvin Josen In the heat of the world cup it is worthy to reflect on how football has impacted the financial world and what it could mean for the future. The amount of money generated by the football industry grew exponentially in the late 1990s and early 2000s‚ and has been steadily growing since. Record-breaking financial deals have been negotiated
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FILE OPERATIONS File can be thought of as “logical” or a “physical” entity. File as a logical entity: a sequence of records. Records are either fixed size or variable size. A file as a physical entity: a sequence of fixed size blocks (on the disk)‚ but not necessarily physically contiguous (the blocks could be dispersed). Blocks in a file are either physically contiguous or not‚ but the following is generally simple to do (for the file system): »Find the first block »Find the last block »Find
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TM Democracy index 2011 Democracy under stress A report from the Economist Intelligence Unit www.eiu.com Democracy Index 2011 Democracy under stress The Economist Intelligence Unit’s Index of Democracy 2011 Democracy under stress This is the fourth edition of the Economist Intelligence Unit’s Democracy index. It reflects the situation as of the beginning of December 2011. The first edition‚ published in The Economist’s The World in 2007‚ measured the state of democracy in September
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The Adobe InDesign Toolbar ® ® Selection Tool Pen Tool Pencil Tool Rectangle Frame Tool Rotate Tool Shear Tool Eyedropper tool Button Tool Hand Tool Fill Control Direct Selection Tool Type Tool Line Tool Rectangle Tool Scale Tool Free Transform Tool Gradient Tool Scissors Tool Zoom Tool Swap Fill & Stroke (arrow) Stroke Control Format Affects Text Apply Gradient Apply None Preview Mode Direct Selection Tool - Selects only the content of a frame‚ selects individual items within a group without having
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|[pic] |Course Syllabus | | |School of Business | | |QRB/501 Version 3 | |
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Sample Calculation of the Lincoln Index: n1= number of individuals initially caught‚ marked and released (in this case 30) n2= total number of individuals caught in the second sample (in this case 126) n3= number of marked individuals in the second sample (in this case 2) Therefore the population of seeds in this case was: Note: All the answers were rounded. Sample Calculation for finding an Average: Use the data of the Lincoln Index Answers. Add together all estimates of each trial for
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Inventory Proposal Carmaletta Lewis‚ Darius Kellar‚ Janee Norman‚ Lynn Pham Quantitative Reasoning for Business/501 March 11‚ 2013 Dr. Vinata Kulkarni Abstract The team used the raw data from the University of Phoenix Summer historical inventory data and forecast to discuss the inventory system problems to determine the inventory system of American Motors. The team converted the time series data into an inventory analysis for American Motors. Introduction
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with Indices QRB/501 Week 3 - Forecasting with Indices The individual assignment for this week tasked the students to select one organization from either our week two assignment or the University material. This paper will show the data in an index using the time series data to forecast inventory for the next year. The Winter Historical Inventory Data from the (University of Phoenix‚ 2010) shows four years of actual demand of inventory data for the seasonal Winter Highs. Each year is divided
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