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calls, which takes the values 0 to 9. The results are shown in Table 4.11. The estimated odds ratio of 1.49 indicates that the odds ratio for churning increases by this amount for every additional customer service call that is made. We would therefore expect that a plot of customer service calls with a churn overlay would form a fairly regular steplike pattern. However, consider Figure 4.3, which shows a normalized histogram of customer service calls with a churn overlay. (The normalization makes each rectangle the same length, thereby increasing the contrast at the expense of information about bin size.) Darker portions indicate the proportion of customers who churn. Note that we do not encounter a gradual step-down pattern as we proceed left to right. Instead, there is a single rather dramatic discontinuity at four customer service calls. This is the pattern we uncovered earlier when we performed binning on customer service calls and found that those with three or fewer calls had a much different propensity to churn than did customers with four or more. Speci cally, the

$14,400 ( 3,750) $10,650

7.1 The output codeword of a block code Cb (6, 3) generated by the generator matrix G is then input to a convolutional encoder like that seen in Figure P.7.1, operating in pseudo-block form. This means that after inputting the 6 bits of the codeword of the block code, additional bits are also input to clear the registers of the convolutional encoder. (a) Determine the transpose of the parity check matrix of the block code, the syndrome-error pattern table, the trellis diagram of the convolutional code and its minimum free distance.

matrix. (See Section 9.11 for the properties.)

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indicate that within mobile media content producers and consumers don t meet so easily (more discussion of new business models and changing roles are included in 9) In MobiLife, even if a UCD process was applied, a relatively traditional technological approach was followed in the sense that the primary focus was on researching and developing technologies and enablers for novel applications and services Also the user research questions were mainly related to what components should be like and whether people can understand them and nd them useful However, a nding of the project was that it is perhaps more important to create conditions in which the components are needed Aside the favourable circumstances, one should design tools for creating such a variety of services and contents in an environment that is too complex to be controlled by any single actor alone.

One way to ensure that your image ends up where you want it is to use frames. Consider placing an image in the upper righthand corner of the screen. If you use frames, you can be sure the graphic will never move. Your HTML might look like this:

TABLE 20.5 Comparison of Logistic Regression Coef cients for Focus Variables of Model 1 in Table 20.2 Before and After Adding Con ict Resolution Factors in Model 2 Focus Variable Female s age at union Cohabiting couple Relationship durationa Substance abuse Minority couple Number of children Male s educationa Female s educationa Income-to-needs ratioa

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For providers of future context-aware ubiquitous applications and services, the earlier chapters (from 3 to 6) present architecture/framework for ontologies, semantics, annotation, etc Also applications with different approaches to content distribution have been developed ( 7) and user tested The next step needed is to support content creation and maintenance For example, the trend is that users create content, but there are no easy means to create context-aware content; ie how to geotag, annotate, apply semantics, etc Context awareness and ubiquity bring along a new dimension to content creation Whereas mobility, to some extent, is about freedom of space and place, context awareness re-establishes them It is not about the user connecting to anyone, any service, anywhere in the world (eg via mobile Internet), but that she connects to people, services and items locally available and locally relevant for her activity at hand.

4. 5.

Usage: File names must be less than 32 characters -C <covert file name> -c <decoded file name> -O <overt file name> -o <final overt file name> -r <1- hidding routine> -v <1-255 variable> - Display this message\n Insertion - Additional data added to the overt file. File size grows. Stuffing - Bytes in overt file are replaced. File size is the same. Twidle - Bytes in overt file are changed slightly. File size is the same. Creation - A new file is made based on covert data. There is no overt file. Routines: 1 HTTP Insertion encode 2 HTTP Insertion decode 3 EXE Stuffer encode 4 EXE Stuffer decode 5 RTF Insertion encode 6 RTF Insertion decode 7 WAV Creation encode 8 WAV Creation decode 9 WAV Twidle encode 10 WAV Twidle decode 11 WAR Create encode 12 WAR Create decode

A comprehensive reference guide to DOM objects is available at the MSDN Online Web Workshop site (http://msdn.microsoft.com/workshop/). Netscape includes additional information and links to the DOM (http://developer. netscape.com/tech/dom/).

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