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for the visual eld contralateral to their injury. In addition, right-hemisphere injury was associated with impaired processing globally; left-hemisphere injury was associated with focal strengths and de cits. As expected, bilateral injury (n 12) resulted in disruption of visual search across visual elds as well as relative de cits in global-level processing. Certain visual-spatial functions typically mediated by the left hemisphere appeared to be less vulnerable to disruption (Schatz, Craft et al., 2004). Alternatively, others have reported average visual spatial abilities and average visual-motor skills in those children without infarct (Grueneich et al., 2004) and regardless of infarct status (R. T. Brown et al., 2000). Visual orientation also has emerged as a de cit area following cerebrovascular injury (Schatz, Craft et al., 2000). Contralateral lesions including the parietal lobe and middle frontal gyrus were associated with larger validity effects on an orienting task, suggesting dif culties disengaging attention; in contrast, contralateral basal ganglia injury was associated with less facilitation of attention. Thus, there is variability in the type of visual orienting de cits as a function of the speci c location of lesions (Schatz, Craft et al., 2000).

The GAs were run 200 independent times for 21 different population sizes and 21 different mutation rates to nd the average number of function calls needed to arrive at an acceptable solution The binary GA used a 12 bit encoding for each variable Population size varied from 8 to 88 in increments of 4 Mutation rate varied from 001 to 041 in increments of 002 Thus 441 different combinations were tried on 200 independent runs each and the results averaged The absolute best Npop and m for the different functions are shown in columns 4 and 5 of Table 57 These numbers don t tell the whole story, though For instance, consider the rst function optimized with the continuous GA Figure 523 is a three-dimensional plot of the average number of function calls needed to reach a level below -18.

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One of the signi cant challenges of XG, particularly in the area of network value-added services, is achieving mass customization personalization of content for a huge clientele Currently, it is unclear what this will mean in practice However, we can attempt to extrapolate from current trends One of these trends is multifaceted heterogeneity The Internet is becoming accessible to an increasingly wide variety of devices As these devices, ranging from mobile handheld devices to desktop PCs, differ substantially in their display, power, communication and computational capabilities, a single version of a multimedia object may not be suitable for all users This heterogeneity presents a challenge to content providers, particularly when they want to multicast their content to users with different capabilities At one extreme, they could store a different version of the content for each device, and transmit the appropriate version on request.

At the other extreme, they could store a single version of the content, and adapt it to a particular device on the y Neither option is compatible with multicast, which achieves scalability by using a one-size- ts-all approach to content distribution Instead, what we need are approaches that not only have the scalability of multicast for content providers but also ef ciently handle heterogeneity at the user s end Of course, we also need security technologies that are compatible with these approaches Bending End-to-end Security One way to deal with this problem is through the use of proxies, intermediaries between the content provider and individual users that adapt content dynamically on the basis of the user needs and preferences For example, let us consider multimedia streams, which may be transmitted to users having devices with different display capabilities as well as different and time-varying connection characteristics.

Since one size does not always t all, media streams are often modi ed by one or more intermediaries from the time they are transmitted by a source to the time they arrive at the ultimate recipient The purpose of such modi cations is to reduce the amount of data transmitted at the cost of quality in order to meet various resource constraints such as network congestion and the like One mechanism for modifying a media stream is known as multiple le switching or simulcast Here, several versions are prepared: for example, low, medium, or high quality The intermediary decides on the y which version to send and may decide.

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