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fast-learning system designed more for the memory of single events or one-time experiences. Based on this formulation, con icting attitudes might coexist in different systems. The possibility of people having both implicit and explicit attitudes has a number of important implications. Perhaps the most relevant implication for attitude change is that it suggests that on some occasions when attitudes appear to change (e.g., when initial negative racial attitudes become more positive), the new attitude might not literally replace the old attitude, but may instead coexist in such a way that the old attitude can resurface under speci able circumstances (Cacioppo et al., 1992; Jarvis, Petty, & Tormala, 1999; Petty, Baker, & Gleicher, 1991; Wilson et al., 2000). This notion is a radical departure from previous treatments of attitude change that is, the prevailing assumption of prior models was that when attitude change occurred, the prior attitude was incorporated into the new attitude such that the old attitude ceased to exist and was replaced by the new one. In his information integration theory discussed earlier, Anderson (1971) represented this mathematically as An = w0 A0 + wi si w0 + wi (15.1)

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Identi cation and charging of traf c ows within a single access point are not currently supported in the GPRS standards; however, this is the area in which solutions are currently being sought to address the challenge of differentiated charging. IP ow-based traf c handling can be used to Classify traf c within the core network according to different services or content types Route traf c according to the service or content (or the indicated service or content provider), providing virtual access points within a single access point con gured within a mobile terminal Charge for the ow according to the identi ed service or content type Provide prepaid charging support Enable a granular level of service control Simpli ed traf c and content analysis can be performed by utilizing IP header information (layers 3 4) within the datastream. More intrusive inspection of the data (layers 5 7) can provide a great range of information relating to the content or service used. However, analysis of higher-layer information is not straightforward, and requires the development of speci c analyzers for each application protocol used. Table 12.1 provides an example of items derivable from ow analysis that could be utilized for charging purposes. In this example the ow analysis might identify that the user is browsing a download selection offered by a partner service provider, and the user should not be charged for GPRS access in this instance. In addition to enabling differentiated access through variation of the related access charges, ow-based charging (Fig. 12.7) can enable content charging to be performed solely via charging information provided by a ow-aware core network.

CURRENT RESEARCH ON THE FUNCTIONING OF TEAMS IN SPORT In this section, we first discuss how team performance in sport has been considered predominantly from a social perspective Following this, we discuss how researchers interested in cognitive aspects of sports performance have been concerned predominantly with the individual performer Finally, we attempt to articulate some weaknesses of these approaches in accounting for team functioning in sport The Predominance of a Social Perspective on Team Functioning in Sport A recognized limitation of sport psychology is that research has been focused predominantly on individuals compared to groups of individuals, such as teams, even when the individuals being studied are members of a team (Woodman & Hardy, 2001) However, research into the psychology of teams in sport has been almost entirely social in nature (eg, Carron & Hausenblas, 1998).

Figure 4.10 shows an example of a standard double-diode ESD network and an impedance isolation ESD network with the LC resonator connected to the RF input pad (e.g., LC-D).

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