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no-treatment or standard care controls We anticipate the use of stronger control groups (eg, alternative HIV prevention programs), and greater use of components-analyzes and other ne-grained approaches to identify the most important components of effective interventions Intervention research is also likely to employ longer follow-up evaluations, and to develop strategies that facilitate the long-term maintenance of the gains resulting from intensive risk reduction programs The value of booster sessions, supplemental interventions, and media campaigns to establish norms supportive of behavior change will be studied further We expect that the reporting of intervention trials will continue to improve For example, investigators will be required to report effect sizes as well as inferential statistics to gauge the magnitude of change and to re ect clinical as well as statistical signi cance There will be increasing attention paid to the cost-effectiveness of interventions (eg, Holtgrave, 1998).

HIV-Positive Persons Will Receive Greater Attention There will be efforts to develop more effective secondary prevention programs for HIV-positive persons As the number of persons living with HIV continues to grow, there will be tremendous opportunities for health psychologists to play an important role in improving the lives of persons living with HIV Within HIV care settings, health psychologists will increasingly be called upon to provide direct services and consultation directed toward improving patient adherence to complex treatment regimens and helping patients to adapt to the many stressors associated with HIV disease Behavioral scientists will also increasingly be called upon to provide effective interventions to reduce high-risk sexual and drug use practices among HIV-infected men and women Secondary prevention research has been slow to develop relative to the advances seen in the area of HIV primary prevention.

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Other changes will survive the restart For example, if the con guration le de ned a destination, but the admin tool dropped the destination, then it would be recreated on the restart However, if, instead, we had used the administration tool merely to delete all the messages in the destination (but not to remove the destination itself), then the message objects would still be deleted after a restart (they would not reappear) 153 JMS STARTER KIT (JMS-SKIT) FRAMEWORK OVERVIEW.

Nonetheless, the need for empirically validated intervention approaches for HIV-positive individuals must be balanced with the immediate urgency of implementing clinic-based interventions with HIV-positive individuals already in treatment and known to be struggling with behavioral issues such as adherence or sexual risk With increasing research funding now being directed toward the development of innovative behavioral intervention approaches for HIV-positive men and women, we are optimistic that many innovations in secondary prevention will be reported and disseminated in the very near future Upstream Interventions Will Become More Common An important challenge, especially for primary prevention, is the need to develop, implement, and evaluate upstream.

There is a signi cant variation in the load placed by different users on the Web server for browsing and noti cation; some users impose signi cantly higher load on a Web server than do other users. This is in agreement with browsing activities seen at regular Web servers as well. In addition, both regular Web servers and the Web server for mobile clients (considered in our analysis) exhibit temporal stability; the set of popular content and queries remain stable over time. Spatial locality is observed in noti cation content (see Section 5.5.2) as well as regular Web server content [26,31]. Wireless users, however, do not exhibit strong spatial locality in their browsing activities at the Web site we analyzed. This is likely due to the limited content available at the time of our trace collection. As Web content becomes more diversi ed, we expect that spatial locality in the browsing activities of wireless users to grow. 5.7.3 Comparison in System Load

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The value of a question. Let X p(x), x = 1, 2, . . . , m. We are given a set S {1, 2, . . . , m}. We ask whether X S and receive the answer Y = 1 0 if X S if X S.

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