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Neural mechanisms subserving the perception of human actions Trends in Cognitive Science, 3, 172 178 de Groot, A D (1978) Thought and choice in chess The Hague, The Netherlands: Mouton (Original work published 1965) Duffy, L J, Baruch, B, & Ericsson, K A (2004) Dart performance as a function of facets of practice amongst professional and amateur men and women players International Journal of Sport Psychology, 35, 232 245 Durand-Bush, N, & Salmela, J (2001) The development of talent in sport In R N Singer, H A Hausenblas, & C M Janelle (Eds), Handbook of sport psychology (2nd ed, pp 269 289) New York: Wiley Durand-Bush, N, & Salmela, J H (2002) The development and maintenance of expert athletic performance: Perceptions of world and Olympic champions Journal of Applied Sport Psychology, 14, 154 171 Engel, F, & Schack, T (2002).

Scheduling services are designed to improve the ef ciency of the polling and BW grant processes. They represent the data-handling mechanisms supported by the MAC scheduler for the purpose of data transportation on a connection. Every connection is associated with a single data service and each data service is linked with a set of QoS parameters which enumerate aspects of its performance. These constraints are handled using the two message dialogs dynamic service addition (DSA) and dynamic service change (DSC). There are ve kinds of scheduling mechanisms suggested in the WiMax standard to support different types of applications. 20.3.1 Unsolicited Grant Services

The companion CD-ROM includes a workbook application that demonstrates these sorting methods. This workbook is useful for comparing the techniques with arrays of varying sizes.

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As with ActiveX controls, Java applets take parameters in the PARAM element. Important to note is the PARAM names must exactly match what the Java applet is looking for. The values assigned to these names must also be of the correct type.

Knowledge and performance in volleyball In K Koskolou, N Geladas, & V Klissouras (Eds), Proceedings of the 7th annual Congress of the European College of Sport Science (p 607) Athens, Greece: ECSS Ericsson, K A (2003) Development of elite performance and deliberate practice: An update from the perspective of the expert performance approach In J L Starkes & K A Ericsson (Eds), Expert performance in sports: Advances in research on sport expertise (pp 49 83) Champaign, IL: Human Kinetics Ericsson, K A, & Kintsch, W (1995) Long-term working memory Psychological Review, 102, 211 245 Ericsson, K A, Krampe, R T, & Tesch-R mer, C (1993) The role of deliberate practice in the acquisition of expert performance Psychological Review, 100, 363 406 Ericsson, K A, & Lehmann, A C (1996) Expert and exceptional performance: Evidence of maximal adaptation to task constraints.

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The showPrefs function flips the widget around and displays the preferences view on the back. First, showPrefs calls widget.prepareForTransition to prevent anything in the user interface from changing. Then, showPrefs uses CSS styles to hide the front of the widget and show the back. The call to widget.performTransition displays the preferences. All this code is standard and used in every widget that includes preferences, although you can add code for your widget if you d like. The rest of the function gets values from stored preferences and hides the circle (fliprollie) that appears behind the Preferences button on mouseover.

Annual Review of Psychology, 47, 273 305..

This algorithm has a complexity of O(log N) for each scheduling decision Simulation results show that this algorithm performs close to the analytical lower bounds [37] In [12], a low-overhead, bucket-based scheduling algorithm based on the square root rule was also provided In this strategy, the database is partitioned into several buckets, which are kept as cyclical queues The algorithm chooses to broadcast the first item in the bucket for which the expression [T R(Im)]2qm/lm evaluates to the largest value In the expression, T is the current time, R(i) is the time at which an instance of item i was most recently transmitted, Im is the first item in bucket m, and qm and lm are average values of qi s and li s for the items in bucket m Note that the expression [T R(Im)]2qm/lm is similar to equation (113).

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family appointments that he shares with his family members separately In such cases, logging changes for each data store per server may require considerable storage memory or static memory This change log is needed to record which items have changed in the database between synchronization sessions During the synchronization session the change log is referred to determine what has changed, and these changes are communicated accordingly The actual implementation details of the change log are beyond the scope of this chapter It is worth noting that the change log can grow signi cantly and could consume a considerable amount of static memory storage One way to reduce the storage for change log is to de ne the maximum limit, but this would restrict the number of changes that can be made between sessions; however, this is a tradeoff that one may have to accept.

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