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Adam s fateful decision pretty much ended his career as a theoretical physicist. When other people found out about his software and about the radical approach he had invented for developing high-quality software very quickly they beat a path to his door. Adam eventually went on to launch Parasoft, a software company that has survived, thrived, and remained independent for more than two decades. I must admit that I was never much interested in theoretical physics, much less gluons and glueballs. But I do know something about selling software. In 2007, I coauthored Partnering with the CIO (John Wiley & Sons, 2007), a book about the challenges of selling enterprise software. The book combined journalism, research, and my personal experiences as a successful software sales executive. Let me share some of what I learned and wrote in the book with you now, because it is relevant to Adam s message. Like all consumers, CIOs suffer buyer s remorse. Before the ink on the contract is dry, they begin worrying about whether the software they just bought will work as promised. The key question rolling through the mind of every CIO who purchases software is: What happens after the sale I didn t make this up. A survey conducted recently by CIO magazine shows that of the 10 vendor attributes considered
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The Rendering Level options, from slowest to fastest, include the following: Smooth+Highlights: Shows smooth surfaces with lighting highlights. This rendering type is the slowest. Smooth: Shows smooth surfaces without any lighting effects. Facets+Highlights: Shows individual polygon faces and lighting highlights. Facets: Shows individual polygon faces without any lighting effects.
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While the source analyser uses the normal report from the SDK analyser, the binary analyser uses the compact report. In addition, the application binaries are also needed to run the binary analyser. Figure 4-7 shows the functioning of the binary analyser, which can be run on either a PC or the target hardware. The binary analyser reads the header of the ARMI/ARM4/THUMB binary to nd the following information: the names of the imported DLLs the ordinal numbers of the exported functions from each imported DLL It generates a simple report on the compatibility of the application binaries with the base terminal, the source code which was originally used as an input to the SDK Analyser.
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The general procedures for making pan gravy are given in 8 (p. 183). Read or review this section if necessary.The procedure for making jus,given here in the recipe for roast prime rib of beef au jus, is the same except that no roux or other thickening agents are used. In other words, use the methods for making pan gravy (p. 184), but eliminate steps 5 and 6 from Method 1 and step 3 from Method 2.
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and the number of job classes is, by definition of N*, exactly R* = K*. Each class r = l,... , R* contains exactly K: = 1 job. Let the jobs be numbered 1,2,. . . , K* and let the function c(k) denote the class index of the lath node in the original network. Using Eq. (8.67), the normalizing constant Gk, (0) of the fictitious network JV is recursively given by:
Latin America Faces Uneven Prospects. The educated elite in Latin America are as well-prepared as any young people for the global knowledge economy, but the distribution of skills (and income) remains especially poor in this part of the world. Latin students lag behind most of their global peers in math and reading, according to the OECD. Most of the region s 200 million Millennials are currently underskilled for employment in high-level information work jobs. Despite these barriers, Mexico and Colombia have emerged as important centers of tech-driven entrepreneurial innovation, along with Brazil and Chile, which are already far along the road to economic prosperity. Bright Spots in Africa. While much of sub-Saharan Africa remains mired in abject poverty, the continent is beginning to produce larger numbers of educated young professionals, and investments are intensifying as part of the Millennium Development Goals articulated by the United Nations. South Africa, despite lingering inequalities, has emerged as a regional hub of economic growth and innovation, but East Africa and parts of coastal West Africa are also demonstrating more promise than they have since the earliest years of independence (see Exhibit 1.6). Nigeria, home to the world s third largest entertainment industry, is also becoming a hotbed of high-tech development, as is neighboring Ghana. Kenya, Rwanda, and Uganda are among the leaders in East Africa. These results, as we shall see, are generated almost exclusively by the efforts of young indigenous entrepreneurs. Still Too Much Room at the Bottom. Not all the signs are hopeful. Worrisome numbers of global Millennials are coming of age in societies that lack the most rudimentary physical infrastructure: clean water, sanitation, food, shelter, access to healthcare. Sometimes these conditions are aggravated by political instability, fanaticism, and war. Afghanistan, for example, posted the fifth highest population growth rate in 2008.4 It seems unlikely that this fact will do the country much good in the near term. Even in areas of persistent poverty, population growth alone is not the culprit. World Bank economist Charles Kenny, who studied the issues closely, writes in the introduction to his new book, The Success of Development, There is little evidence from anywhere that growing populations condemn a country to a declining standard of living. Looking at Africa in particular, while populations continue to expand, there is no link from population growth to declining income, and
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