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Reification of DSM-IV entities, to the point they are considered to be equivalent to diseases, is more likely to obscure than to elucidate research findings. . . . All these limitations in the current diagnostic paradigm suggest that research exclusively focused on refining the DSM defined syndromes may never be successful in uncovering their underlying etiologies. For that to happen, an as yet unknown paradigm shift may need to occur. (p. xix)

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32. A. Beex, J. Zeidler, Non-Wiener Effects in Recursive Least Squares Adaptation, Proc. 7th Int. Symposium on Signal Processing and Its Applications, Vol. 2, 2003, pp. 595 598. 33. D. Erdogmus et al., Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation, EURASIP J. Applied Signal Processing, Vol. 13, pp. 2034 2041, 2004. 34. M. Woodbury, Inverting Modi ed Matrices: Memorandum Rept. 42, Statistical Research Group, Princeton University, Princeton, NJ, p. 4, 1950. 35. M. Brookes, The Matrix Reference Manual. London: Imperial College, 2005. 36. UC Irvine Machine Learning Repository, http://archive.ics.uci.edu/ml/databases/eeg/eeg. data.html.

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It must be an identifier. It cannot be a keyword or an ActionScript literal such as true, false, null, or undefined. It must be unique within its scope. (See Scoping a variable on page 220.)

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2.5.2.2 Conversion of ESD networks into P-match networks ESD networks can serve as matching networks. An ESD network can serve as a -match network when the ESD elements have two shunt elements, and a series element in series forming a con guration. In this case, at least two shunt elements exist, separated by at least one series element. A method of conversion of an ESD network into an RF matching network can be achieved where the rst shunt element allows the current to ow to power supplies during ESD events. The series element can serve as an element that allows the current to ow to the second shunt element during ESD events or serve as a buffer element . The second shunt element provides current discharge to at least one power rail during ESD events, serving as a second stage ESD element. At RF application frequencies, it is desirable to have the network form a -match network. The ESD diodes serve the role of discharging the ESD event at the ESD frequency and current magnitude and serve the role of a capacitor in the -network at the application frequency. As an example, Figure 2.13 shows a network that is synthesized using a rst doublediode ESD network, and inductor, followed by a second ESD double-diode network. During the ESD event, the rst and second stages of the double-diode discharges the

VF method, in which the access probability for each data is the same as in the example for fixed fan-outs. The index tree with variable fan-outs in Figure 11.7 has a better average index search performance than the index tree with fixed fan-outs in Figure 11.6 [9]. 11.3.2 Multiattribute Air Indexing So far, the index techniques considered are based on one attribute and can only handle single attribute queries. In real world applications, data frames usually contain multiple attributes. Multiattribute queries are desirable because they can provide more precise information to users. Since broadcast channels are a linear medium, when compared to single attribute indexing and querying, data management and query protocols for multiple attributes appear much more complicated. Data clustering is an important technique used in single-attribute air indexing. It places data items with the same value under a specific attribute consecutively in a broadcast cycle [14, 17, 18]. Once the first data item with the desired attribute value arrives, all data items with the same attribute value can be successively retrieved from the broadcast. For multiattribute indexing, a broadcast cycle is clustered based on the most frequently accessed attribute. Although the other attributes are nonclustered in the cycle, a second attribute can be chosen to cluster the data items within a data cluster of the first attribute. Likewise, a third attribute can be chosen to cluster the data items within a data cluster of the second attribute. We call the first attribute the clustered attribute and the other attributes the nonclustered attributes.

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