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igital video has made tremendous strides in the last five years. This is a complex science that doesn t lend itself to a thorough explanation in one short chapter. While this chapter introduces you to the fundamentals of digital video, the list of what it doesn t cover is almost as long as the list of what it does cover. This chapter defines the terms you will come across in making buying decisions about video hardware and software. More important, this chapter is full of references to other more comprehensive sources, most notably, magazines that include up-to-the-minute reviews of hardware and software. The short version is if you are serious about putting highquality video on your Web site, you must either devote a tremendous amount of time and a lot of money to the undertaking or you should hire a company dedicated to video compression to take your edited analog video and convert it into a Web-ready format. If you simply want to produce the kind of video small frame size and choppy you see on most Web pages, this chapter gets you started nicely. In any case, you need to know the vocabulary and the anatomy of digital video.

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processes and were not associated with any undesirable achievement processes. Finally, PAv goals were consistently linked with the most undesirable achievement processes and outcomes of all four goals. Based on these results, MAp goals appear to be optimal, PAv goals appear to be dysfunctional, and both PAp and MAv goals are neither entirely optimal nor entirely dysfunctional (with the former appearing to be more optimal than the latter). Critical Issues Regarding 2 2 Achievement Goals Elliot and colleagues (e.g., Elliot, 1997, 1999; Elliot & Conroy, 2005; Elliot & Thrash, 2001, 2002) argue that on both theoretical and empirical grounds, the 2 2 model of achievement goals has demonstrated promise for enhancing understanding of achievement motivation. Nevertheless, research on this model in sport contexts has been limited, and further research is required to demonstrate its veracity and potential. Research linking goals, particularly avoidance goals, to hypothesized patterns of antecedents and consequences in sport would be a useful first step in this process. Following are some other issues that will need to be addressed in future research. Controversy still exists over whether the approachavoidance distinction merely represents differences in per-

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Very few studies have attempted to compare black box models with the output from more sophisticated models for the same systems A recent rigorous intercomparison of the two kinds of model has shown that simpli cation of ow system dynamics needs to be undertaken very carefully if it is not to result in irrational predictions (Birkinshaw et al 2005) 1032 Pursuing realism: system dynamics models The term system dynamics is used to denote an approach to the study of complex systems in which complex feedbacks occur Feedback in this context refers to situations in which one attribute of a system (X) affects another (Y), whilst Y in turn affects X Before the advent of system dynamics modeling in the early 1960s, these sorts of feedback-dominated systems were very dif cult to analyze.

They are particularly prevalent in many socioeconomic situations, and it is in that sphere that system dynamics modeling was pioneered In recent years, however, applications of the system dynamics modeling approach to environmental systems have begun to be reported (Ford 1999) System dynamics modeling represents a signi cant advance over cruder black box models (Section 1031), and has considerable potential for modeling complex systems for which insuf cient data exist to support the application of fully physically based models (Section 1033) Many groundwater systems possess strong feedback mechanisms In many uncon ned sand and gravel aquifers, for instance, drawdown decreases the saturated thickness, which in turn decreases the transmissivity; when transmissivity decreases, hydraulic gradients tend to steepen, moving more water towards the zone of low saturated thickness; thus head and transmissivity are linked by feedback loops in many thin uncon ned aquifers.

21.3.4 Radio Resource Management/Scheduling in Multihop Wireless Networks A number of works in the literature considered the scheduling problem in multihop wireless networks. An incentive-based scheduling for cooperative relay in wireless wide area network and local area network (WWAN/WLAN) two-hop-relay network was proposed in [35]. Game theory (e.g., Nash equilibrium as a solution) was used to determine the optimal strategy for traf c scheduling in a relay node. A multihop-scheduling scheme, namely coordinated multihop scheduling (CMS), was proposed in [36] with a view to achieving the desired end-to-end performances. Also, the admission control problem was studied to guarantee QoS of ongoing connections. The end-to-end schedulability condition for several classes of coordinated schedulers was derived in [37]. The ef ciency of the coordinated scheduling algorithm was illustrated. An analytical model to study the cooperation in wireless ad hoc networks was presented in [38] and a distributed admission control method was proposed. However, these works did not consider the radio link level queueing dynamics. Also, adaptive modulation and coding (AMC) technique (to achieve multirate

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