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Table 5.6 E-DCH TTI reception ACK/NACK mapping to E-HICH. Transmission on E-HICH Cells in the same RLS with the serving HSUPA cell TTI received correctly TTI received incorrectly TTI not detected ACK NACK 1 1 DTX Other cells 1 DTX DTX

can thus be computed as 0.99444. Although this number looks very good (it is very close to 100%) f or a non-stop transaction processing facility, it would still mean an expected down-time 24 x 365). of 48.7 hours a year ((1 - 0.99444) x

Notice how the code in Listing 17-1 explicitly sets the transaction boundaries. Because you make use of the Java Transaction API for bean-managed transaction demarcation, perhaps a few words on the API is in order.

Size: Sets the size of the glow around the text or object. Transparency: Determines the extent to which whatever is behind the glow shows through.

<!ATTLIST tab value CDATA #REQUIRED style CDATA #IMPLIED selected (true | false) "false" orient (vertical | horizontal) "vertical" autostretch (never | always) "never" oncommand CDATA #IMPLIED>

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The company has unwittingly created a situation of internal conflict. It is overly reliant on talent yet does little to enable that talent to bloom. It has enticed the most creative and motivated people to join the team, but there is insufficient infrastructure, process, or governance to give wings to the wonderful ideas these people generate. Motivated people get very frustrated waiting for change to happen. They are told they are empowered, but the enterprise does not seem to do anything to make it possible. They may want to leave and stay only because the compensation package is too good to forfeit, or because they have found haven in a busywork job with low risk. In his essay The Talent Myth, Malcolm Gladwell described this scenario succinctly by suggesting that if everyone has to think outside of the box, then maybe it is the box that needs to be examined.1 In other words, an organization s intelligence is more than the sum of the intelligence of its employees. Companies rely on cooperation and coordination, on the ability to combine the efforts of many people, not on the individual brilliance of stars. The companies and businesses that are most successful are the ones in which, as Gladwell puts it, the system is the star. Gladwell points to the example of McKinsey management consultants and their influence on the Enron failure. Hiring smart people, paying them more than they think they are worth, promoting them above and beyond their abilities, and rewarding them based on the luster of their MBAs all led to a culture where smartness was everything, where talent was seen as the key to success, and where the company was in complete chaos.

Both the FLOPS IDE and FLOPS itself provide a variety of help les. These include a FLOPS overview, language manual, a fuzzy math review, a review of the syntax of FLOPS rules, a description of the sample FLOPS programs provided, a short manual on building fuzzy expert systems, a glossary, some help on getting started, a section on on-line real-time work, and how to obtain technical support. A list of the help les in FLOPS and TFLOPS is given in Table 9.3. Programmers used to procedural languages face some real problems in adjusting to a data-driven, parallel fuzzy language, and extensive help les are essential to help overcome these problems.

In deriving the multi-dimensional or vector Kalman algorithm, we can apply the one-dimensional algorithm derived in Section 3.1.1. The one-dimensional algorithm can be extended to its vector form by replacing the one-dimensional Kalman variables and the corresponding operations with their matrix equivalents. This transformation of the associated operations from the one-dimensional to multi-dimensional space is summarized in Table 3.2, where a

Volatility is perhaps the single most elusive variable in the marketplace. There are a variety of opinions about what constitutes the best methodology for calculating volatility on a given asset, and in the end there really is no right way to do it. A variety of texts have been published (and have yet to be published) on the topic of option pricing methodologies. The aim here is merely to flesh out a better understanding and appreciation for a rather fundamental and variable.

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