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Page 82: At the end of this time . . . [This is a number that is frequently cited, based on data from the Center for the Study of Drug Development at Tufts University and the Pharmaceutical Research and Manufacturers of America.] Page 83: That s because of the nature . . . [Devices fall into three different classes, depending on the level of risk from tongue depressors to pacemakers. According to David Feigal, the former director, 90 percent of devices come to market based simply on their design, without any inspection at all. The Devices Center s new real-time review streamlines the process even more, to the point of almost being instantaneous: If the paperwork is submitted three weeks in advance and if the issues are pretty straightforward, reviewers will meet with the manufacturer and make a binding decision on the spot. The meeting can even be done by phone. ] Page 85: If things do not work out well . . . [Lester Crawford, the acting commissioner of the FDA, began citing statistics along this line repeatedly in speeches in 2004. ] Page 85: The trials are held in groups . . . [A whole new breed of companies, known as clinical research organizations, sprang up in the late 1990s specifically to conduct these trials, thus giving hospitals and medical schools a jolt of competition. (These are not to be confused with contract research organizations like Alquest, which help guide drug companies through the FDA approval process.) It s not so much for the money: While drug companies pay a per-patient fee that can run $1,000 to $30,000, that typically covers only 5 to 10 percent over the trial s administrative cost. Rather, physicians

et(1) - c ~ ( l ) et(2) - ct(2) e2(l>- ~ ( 1 ) e2(2) - c2(2) en(2)-cn(2)

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June 12, 2004

P ( F ) is the probability of decoder failure, which is the probability that the decoder is unable to decode the received vector (and is able to determine that it cannot decode).

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INTRODUCTION 1 Brian D Biro, Beyond Success:The 15 Secrets to Effective Leadership and Life Based on Legendary Coach John Wooden s Pyramid of Success (New York: Perigee Books, 1997) 1 Wendy Law-Yone, Company Information: A Model Investigation (Washington, DC: Washington Researchers, 1980), pp 29 32 2 Alice Z Cuneo, Raymond Serafin, Agency of the Year: With Saturn, Riney Rings Up a Winner, But Integrated Marketing Programs Work for More Clients Than GM Unit, Advertising Age, April 14, 1993 3 Marie Brenner, Going Hollywood: An Insider s Look at Power and Pretense in the Movie Business (New York: Delacorte Press, 1978), p 123 4 Lorraine Spurge, MCI: Failure Is Not an Option How MCI Invented Competition in Telecommunications (Encino, CA: Spurge Ink!, 1998) 5 Patricia Sellers, Joyce E Davis (Reporter Associate), Do You Need Your Ad Agency, Fortune, November 15, 1993 1.

Thus far, we have discussed the general architecture of SQLite and examined how the library works in practice. The implementation of Symbian SQL presented the SQLite library with a new range of characteristics and requirements to consider because of the nature of the Symbian OS platform and the way in which Symbian SQL uses SQLite. It is not surprising then that Symbian Software Ltd and the authors of SQLite have worked together since the advent of Symbian SQL to identify how it can get the best out of the SQLite library. This close collaboration,

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