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This separation enables easy modification of the user interface and the underlying code, and the sharing of the JavaScript functions. Commands are very open-ended. In fact, only two Dreamweaver functions are specific to commands canAcceptCommand() and commandButtons() and neither function is required. Two other command-oriented functions, receiveArguments() and windowDimensions(), are also used elsewhere; but again, neither is required. The canAcceptCommand() function controls when the command is active in the menus and when it is dimmed. If canAcceptCommand() is not defined, the command is always available. This function returns true or false; if false is returned, the command is dimmed in the menus. You can see canAcceptCommand() in action in both the Sort Table and Format Table commands. For either of these commands to be effective, a table must be indicated. Rather than require that a table be selected, the canAcceptCommand() function calls a subroutine, findTable(), which returns true if the user s cursor is positioned inside a table:



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A number of plug-ins for blogs enable the tip jar: n Movable Type Tip Jar at http://everything.typepad.com/

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In a series of articles (the rst one being ref. [25]), Wu et al. described, a lightweight backbone construction scheme. We will use a modi ed de nition from refs. [14] and the [26] of basic concept [25], because of its reduced message overhead. A node is an intermediate node if it has two unconnected neighbors [25]. In the example in Figure 11.1, nodes C and K are the only nodes that are not intermediate. A node A is covered by a neighboring node B if each neighbor of A is also a neighbor of B, and key(A) , key(B). Assuming that the keys in Figure 11.1 are ordered

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where t 1; 2; . . . ; tmax . Thus, a feature vector x k s k ; s2 k ; r k; 1 ; r k; 2 ; . . . ; r k; tmax T of dimensionality 2 tmax is computed at every instant k, such that a set of G n-dimensional feature vectors X fx 1 ; x 2 ; . . . ; x T g is formed, where x k 2 Rn , k 1; 2; . . . ; T. The output of a fuzzy clustering algorithm should be the separation of the source data into m clusters with some degrees of membership wj k of the kth feature vector x k to the jth cluster, where m in the common case is unknown and can change over time. In what follows, we make an attempt to derive an adaptive computationally simple robust fuzzy clustering algorithm for recursive data processing in the online mode as more and more data become available.

Table 6-3

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As covered earlier in the chapter, video transmission requires special consideration. The following paragraphs summarize the special considerations a planner must take into account for video transmission over radiolinks. Raw video baseband modulates the radiolink transmitter. The aural channel is transmitted on a subcarrier well above the video portion. The overall subcarriers are themselves frequency modulated. Recommended subcarrier frequencies may be found in CCIR Rec. 402-2 (Ref. 9) and Rep. 289-4 (Ref. 10).

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window phase, you can always refer to the Readme.txt icon shown in Figure 3-41. It is the same information.

The Tracking value, which you set using the pop-up menu to the right of the Kerning pop-up, is almost identical to Kerning. It affects character spacing, as measured in em spaces. The Tracking value even reacts to the same keyboard shortcuts. The only differences are that you can apply Tracking to multiple characters at a time, and Photoshop permits you to apply a Tracking value on top of either automatic (as in Metrics or Optical) or manual kerning. Tracking is usually applied to body text, such as paragraphs, whereas kerning is typically used in single lines of text, such as headlines or character pairs.

both selection of information consistent with the mode and discounting or ignoring information inconsistent with the mode. Beck and his colleagues (A. T. Beck et al., 2003; Pretzer & Beck, in press) have extended the schematic processing model to an understanding of personality disorders. Influenced by the ego analysts such as Alfred Adler (1924/1964), Karen Horney (1945, 1950), Harry Stack Sullivan (1956), and Victor Frankl (1992) the cognitive model of personality stresses the importance of how thinking is organized to influence affect, behavior, and interpersonal relationships. Because personality is viewed in terms of its distinct cognitive characteristics, the cognitive model stresses the importance of developing a taxonomy for the specific schemas underlying each personality disorder. Furthermore, the cognitive model proposes that individuals with specific personality disorders use distinct strategies to adapt to these underlying vulnerabilities. In this chapter, we review the schematic content for the major personality disorders, the cognitive model of how individuals use strategies to cope with their vulnerabilities, interventions that are used by cognitive therapists in the treatment of personality disorder patients, and empirical support for the model.

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