GOVERNMENT REVENUE | A Toolkit and Guide for Legislators and Civil Society Organizations | | This toolkit is meant to equip Legislators and Civil Society Organizations to effectively monitor the Government of Zimbabwe Revenues as part of the broader Budgetary Policy Analysis and input | | | | Table of Contents Chapter 1: Introduction 4 1.1 Background 4 1.2 Enabling Legislations 4 1.3 Tax Reforms 5 1.4 Taxes and the economy 6 1.5 The toolkit 6 Chapter 2: Government Revenues categories
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Strategic Plan 2013-18. Osterwalder‚ A.‚ Pigneur‚ Y. and Clark‚ T. (2010) Business model generation: a handbook for visionaries‚ game changers‚ and challengers. Smith‚ I. (2003) Meeting customer needs. The Accounting Standards Board (2001) Revenue Recognition: Discussion Paper. Tilman‚ P. (2010) ‘Working with universities’ in The Innovation handbook: How to profit from your ideas and market knowledge. Intellectual Propert Office‚ 85-89.
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Employee Recognition Programs THE SECRET TO A MOTIVATED WORK FORCE Rewards and Recognition Programs‚ The Secret to Maintaining High Morale and a Motivated Work Force By John Jurgle Pompano Beach Fire Department Pompano Beach‚ Florida 1 Employee Recognition Programs CERTIFICATION STATEMENT I hereby certify that this paper constitutes my own product‚ that where the language of others is set forth‚ quotation marks so indicate‚ and that appropriate credit is given where I have
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Table of Contents IRC 11(a) - Tax imposed 2 IRC 7701(a)(3) - Definitions 2 IRC 7701(a)(4) 2 IRC 7701(a)(5) 2 Reg 301-7701-3(a); 301-7701-3(b)(1); 301-7701-3(c) 2 Section 301.7701-3(a) 2 Section 301.7701-3(c) 3 IRC 243 - Dividends received by corporations 3 (a) General rule 3 (b) Qualifying dividends 3 (C) Election 5 (d) Special rules for certain distributions 5 (e) Certain dividends from foreign corporations 6 IRC 246(b)‚ 246(c) - Rules applying to deductions for dividends
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AI in optical character recognition Artificial intelligence (AI) is the intelligence of machines. AI textbooks define the field as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. There are different fields under optical character recognition. Intelligent character recognition Handwriting recognition Automatic number plate recognition In computer science‚ intelligent
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recognize them? Critically discuss with reference to theoretical models of recognition? Recognition is a process which involves us using basic sensory descriptions of an object and turning it into a 3D description‚ this description must then match stored representations of what we have seen before‚ irrespective of the angle its seen from. The process has 3 stages‚ Converting‚ Comparing and Identifying. An object model of recognition we will look at is Marr and Nisihara’s special process used to generate
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commands in Speech Recognition You can print this topic for quick reference while you’re using Windows Speech Recognition. How do I use Speech Recognition? To use Speech Recognition‚ the first thing you need to do is set it up on your computer. To learn how to do that‚ see Set up Speech Recognition. When you’re ready to use Speech Recognition‚ you need to speak in simple‚ short commands. The tables below include some of the more commonly used commands. To open Speech Recognition 1. Click to
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UNIT 5: ACCOUNTING FOR DEBENTURES LEARNING OBJECTIVES I) II) III) IV) V) VI) VII) IX) X) Understand the meaning and features of debentures. Differentiate between shares and debentures. Understand different classes of debentures Journal entries regarding issue of debentures for cash and for consideration other than cash. Accounting treatment of debentures issued as collateral security Accounting treatment of issue and redemption of debentures at par‚ discount and at premium. Understand the methods
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face recognition is as old as computer vision and both because of the practical importance of the topic and theoretical interest from cognitive science. Face recognition is not the only method of recognising other people. Even humans between each other use senses in order to recognise others. Machines have a wider range for recognition purposes‚ which use thinks such as fingerprints‚ or iris scans. Despite the fact that these methods of identification can be more accurate‚ face recognition has always
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Eyebrows in Facial Recognition | Research into the role of eyebrows by measuring the time taken to recognize a famous face in two separate conditions; where the face was altered to either have no eyebrows or no eyes and comparing the differences to determine whether eyebrows are the most influential facial feature in regards to identifying faces. | | | Abstract Sadr et al (2003) presented evidence suggesting that eyebrows are the most important feature in facial recognition. In their study
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