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Figure 11.1 suggests ssion proceeds in two steps, the ascent to the saddle point and the passage through the scission point. We shall present our discussion of ssion from this point of view. We shall assert that like chemical reactions, the reaction probability is determined by the passage through the transition state. We shall also assert, more controversially, that the distribution of ssion product energies, masses, and so forth is determined at or near the scission point. Let us begin with a discussion of the probability of ssion. For the rst approximation to the estimation of the ssion barrier, we shall use the liquid drop model ( 2). We can parameterize the small nonequilibrium deformations, that is, elongations, of the nuclear surface as R(q) R0 1 a2 P2 ( cos q) (11:1)

are slightly different between the Weibull case (for c = 3) and the Nakagami case (for m = 2.17), especially for small Lc . 9.11.3 Generalized Selection Combining with Threshold Test per Branch (T-GSC) In this section, we discuss the behavior and performance of two conditional combining schemes in which each branch signal-to-noise ratio is tested against a threshold and applied to the combiner only if its value exceeds this threshold. The two schemes, respectively referred to as absolute threshold generalized selection combining (AT-GSC) and normalized threshold generalized selection combining (NT-GSC), differ from one another only in the manner in which the threshold is chosen ( xed for one scheme and variable for the other). However, when operating over a generalized fading channel, the two schemes have a markedly different behavior, as will be seen later on in the numerical results. As discussed in the previous section, conventional GSC rst ranks the instantaneous branch output SNRs, then selects a subset of these corresponding to the ones with the largest value, and nally combines them in the fashion of MRC. Since,

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substances with a special consistency. Some basic considerations concerning quantitative ATR spectroscopy have been described by Miiller et al. (1981). This publication emphasizes the fact that the functional behavior of the ATR spectrum of an absorbing sample must be evaluated with regard to the refractive index as well as to the absorption index of the sample. It is shown that, as a consequence, reflection measurements can be used to determine concentrations of nonabsorbing samples. Further information on reflection spectroscopy is presented in Sec. 6.4.

ata architecture is a passion of mine, and without question the subject belongs in any comprehensive database book. Because it s the foundation for the rest of the book the why behind the how of designing, developing, and operating a database it makes sense to position it toward the beginning of the book. Even if you re not in the role of database architect yet, I hope you enjoy the chapter and that it presents a useful viewpoint for your database career. Keep in mind that you can return to read this chapter later, at any time when the information might be more useful to you.

Data mining, data warehousing, and MTDs are delivered on the Internet and intranets. The Internet does not simply represent another advertising venue or a different medium for catalog sales. Rather, it contains new attributes that smart marketers can exploit to their fullest degree. Indeed, the Internet promises to revolutionize sales and marketing. Dell Computer (see Online Minicase 1) offers an example of how marketing professionals can use the Internet s electronic sales and marketing channels for market research, advertising, information dissemination, product management, and product delivery. For an overview of marketing databases and the Web, see Grossnickle and Raskin (2000). Fewer and fewer companies can afford traditional marketing approaches, which include big-picture strategies and expensive marketing campaigns. Marketing departments are being scaled down, (and so is the traditional marketing approaches) and new approaches such as one-to-one marketing, speed marketing, interactive marketing, and relationship marketing are being employed (see Strauss et al., 2003). The following examples illustrate how companies use data mining and warehousing to support the new marketing approaches. For other examples, see Online File W11.9.

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