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It is also possible to graphically show the impact of the geometrical scattering of the satellite (the DOP) on the resulting accuracy by the way of two different geometries. Figure 8.5 illustrates this matter. In summary, one can consider that if two satellites are too close to each other then the corresponding pseudo ranges (with their associated errors) will not give suf cient discrimination to decrease the uncertainties of position (the ultimate absurd situation is obtained if the two satellites were at the same location). So, one can say that if the satellites are evenly distributed around the receiver, then the DOP will be quite good, that is, a small value.16 So, there is a clear difference

Personality disorders continue to be perplexing clinical phenomena to define, classify, diagnose, and effectively treat. Although conceptions of abnormal personalities have existed since the earliest clinical nosologies of the twentieth century (Abraham, 1921/1927; Kraepelin, 1907; Reich, 1933/1949; Schneider, 1923/1950), the publication of the third edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-III; American Psychiatric Association, 1980) was a landmark event for the clinical science of personality disorder. DSM-III provided a separate diagnostic axis (Axis II ) on which personality disorders were to be evaluated and also introduced the contemporary categories of avoidant, borderline, dependent, and narcissistic personality disorder to the official nomenclature. From 1980 through the end of the century, DSM-III Axis II and its subsequent revisions (DSMIII-R, APA, 1987; DSM-IV, APA, 1994; DSM-IV-TR, APA, 2000) stimulated an enormous increase in psychological theory and empirical research on the nature, classification, and treatment of personality disorders. While the work stimulated by the DSM Axis II categories of personality disorder is invaluable to clinical science, it appears that the benefits of the approach have now been all but exhausted and the study of personality disorders has entered the post DSM-III/DSM-IV era (Livesley, 2001). In recent years, a number of leading personality disorder investigators have published increasingly explicit and critical assessments of the DSM system of classifying and diagnosing personality disorders based on psychometric, theoretical, and clinical grounds (Bornstein, 1997, 2003; Clark, Livesley, & Morey, 1997; Cloninger, 2000; Endler & Kocovski, 2002; Livesley, 2001; Millon, 2000; Parker et al., 2002; Westen & ArkowitzWesten, 1998; Westen & Shedler, 2000; Widiger, 2000). For example, Cloninger declared:

The central activity area is controlled by the code in Listing 4-3. Listing 4-3: The Central Activity Area in HTML

hen you add ActionScript to a design, your take your production to the next level. The ability to add interactivity to a design with ActionScript is what gets you the big jobs from high-paying clients. At the same time, adding interactivity to a design can also increase the level of difficulty for you as a designer. ActionScript by its very nature is created on different keyframes, within different objects, and assigned to different buttons. When something goes awry with a complex ActionScript design, you can t just look at a written script and figure out the error is on line such and such. True, the error will be in one or more specific lines of code, but on which frame is the faulty code; in which movie clip There are so many places to look, tracking down faulty code can be a time-consuming process. Fortunately you have two indispensable tools you can use to debug a movie: the Debugger and the Movie Explorer. You can also add elements to your ActionScript to trace variables. You can also stop a movie at selected places to see what is happening when a line of code executes, or if there is an error in your ActionScript, doesn t execute. In this chapter you ll learn to use the Debugger to trace your ActionScript designs as well as add actions to your scripts that enable you to keep track of what s happening as the movie plays.

Let X1 , X2 , . . . , Xn be independent, identically distributed random variables drawn from the probability mass function p(x). We wish to nd short descriptions for such sequences of random variables. We divide all sequences in X n into two sets: the typical set A(n) and its complement, as shown in Figure 3.1.

How you use the results is directly related to the program requirements. Make sure all requirements are being followed exactly as listed and

how to enhance the JMS-SKIT framework and how to create other, new and different frameworks on top of the Java Message Service.

Summary

Summary

Loading of VF trunks (junctions).