10.x (who knows?) Less bugs (there are much less already). 10.0.0 (29/03/2011) Bugfixes: Fixed problem with sidechain selectors in Vocodex. Fixed tiny bug in envelope filter tool. Fixed rendering start time problem. Fixed small bug on playlist loop marker deletion. Fixed bug when deleting playlist clips through their menu. Fixed bug when undoing recording of audio+piano roll when there were no notes yet. Fixed crash when sending
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Ishikawa 923-1292, Japan sugi@jaist.ac.jp Abstract Purpose: To sharpen the concepts of tacit, implicit and explicit knowledge by linking them to findings from cognitive psychology and memory science and thus finding a possibility for measuring non-explicit knowledge. Methodology/Approach: A review of KM and cognitive science literature leads to a dimensional model of knowledge types that links the concepts from KM to more specific concepts from psychology. One central assumption of the model
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Student Solutions Manual for SINGLE VARIABLE CALCULUS rS al e SEVENTH EDITION DANIEL ANDERSON University of Iowa Fo JEFFERY A. COLE Anoka-Ramsey Community College N ot DANIEL DRUCKER Wayne State University Australia . Brazil . Japan . Korea . Mexico . Singapore . Spain . United Kingdom . United States ALL RIGHTS RESERVED. No part of this work covered by the copyright herein may be reproduced, transmitted, stored, or used in any form or by any means graphic
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IS Success Model in E-Learning Context Based on Students' Perceptions Freeze, Ronald D; Alshare, Khaled A; Lane, Peggy L; Wen, H Joseph. Journal of Information Systems Education21.2 (2010): 173-184. The title captures the objective of the study which is to evaluate the success of the E-learning based on the IS success model. Abstract This study utilized the Information Systems Success (ISS) model in examining e-learning systems success. The study was built on the premise that system quality
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Indian G-Sec Market: How the Term Structure Reacts to Monetary Polic Introduction Behavior of term structure is a major source of interest rate risk and influences the decision making process of the participants in money market and government securities (G-Sec) market regarding holding and trading. Monetary policy is a major determining factor of term structure. The first quarter of the current financial year found hikes in monetary policy rates in India to be followed by upward shifts in the
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redistribution effects if the marginal propensity to spend out of wealth differs between those long housing (the old, say) and those short housing (the young, say) and (2) collateral or credit effects due to the collateralisability of housing wealth and the non-collateralisability of human wealth. A decline in house prices reduces the scope for mortgage equity withdrawal. For given sequences of future after-tax labour income and interest rates, a fall in house prices will then depress consumption in the short
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ISSN 1471-0498 DEPARTMENT OF ECONOMICS DISCUSSION PAPER SERIES OLIGOPOLY AND TRADE Dermot Leahy and J. Peter Neary Number 517 December 2010 Manor Road Building, Oxford OX1 3UQ OLIGOPOLY AND TRADE Dermot Leahyy National University of Ireland, Maynooth J. Peter Nearyz University of Oxford and CEPR December 13, 2010 Abstract In this chapter we present a selective analytic survey of some of the main results of trade under oligopoly. We concentrate on three topics: oligopoly
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Essays in Banking and Risk Management by James Ian Vickery B.Ec.(Hons), University of New South Wales (1997) Submitted to the Department of Economics in partial fulllment of the requirements for the degree of Doctor of Philosophy in Economics at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2004 c ° James Ian Vickery, MMIV. All rights reserved. The author hereby grants to Massachusetts Institute of Technology permission to reproduce and to distribute copies of this thesis document in
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1 EJISDC (2013) 56, 7, 1-17 ICT BARRIERS AND CRITICAL SUCCESS FACTORS IN DEVELOPING COUNTRIES Almamy Touray Department of Computer Science and Information Systems, University of Jyväskylä, Mattilanniemi, Agora, 40351 Jyväskylä, Finland almamy.2.touray@jyu.fi Airi Salminen Department of Computer Science and Information Systems, University of Jyväskylä, Mattilanniemi, Agora, 40351 Jyväskylä, Finland airi.salminen@jyu.fi Anja Mursu Salivirta & Partners, Kauppakatu 28, 40100 Jyväskylä, Finland Anja
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This is page 57 Printer: Opaque this 3 Time Series Concepts 3.1 Introduction This chapter provides background material on time series concepts that are used throughout the book. These concepts are presented in an informal way, and extensive examples using S-PLUS are used to build intuition. Section 3.2 discusses time series concepts for stationary and ergodic univariate time series. Topics include testing for white noise, linear and autoregressive moving average (ARMA) process, estimation
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