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The client components in the case study were implemented in Java, which means that they can be downloaded from a web server. Updating the copy on the web server implements migration to new versions of the client. Moreover, Java was chosen in order to ensure that the clients run on a number of different platforms, including web browsers and set-top boxes. The server objects were implemented in C , mainly because they had to perform efficiently on Unix servers. Hence, the video-on-demand system is a distributed system consisting of heterogeneous components. The video-on-demand system uses an object-oriented middleware. We will revisit this form of middleware throughout the book. It supports the definition of interfaces of the server objects in a way that is independent of programming language, network and hardware. It manages the communication between client and server objects that is necessaryto locate the server that holds a desired video and to select the video to be downloaded. The system exhibits all of the characteristics of distributed systems that we discussed in the previous section. The components are autonomous and heterogeneous: client components are written in Java. They operate in web browsers or set-top boxes. The servers operate on Unix hosts. The servers are shared components while each customer has an unshared client object. The system is inherently concurrent, given that there are 90,000 potential users. Although it is unlikelythat all subscribers will decide to watch a video at the same time, there are probably several hundred concurrent users at any point in time. Finally, there are also multiple points of failure as each of the set-top boxes/web browsers, the network link or the servers might be overloaded or fail.

Handbook of Eating Disorders. Edited by J. Treasure, U. Schmidt and E. van Furth. C 2003 John Wiley & Sons, Ltd.

water, and you can t do it without some equipment. But a real surfer only needs her surfboard. You need more than just a browser to keep on top of the information ocean. QUIT WASTING TIME! Web surfing is a great way to seed your mind with new ideas, find people to connect with, and keep up to date with what s happening in the world and your profession. But some people think of it as an aimless waste of time, and sometimes it can be. Like anything else, you can surf the web too much with too little to show for it. If you tend to go overboard on your web surfing, try these tips to keep it productive:

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1. Jemal A, Siegel R, Ward E, et al. Cancer statistics, 2008. CA Cancer J Clin. 2008;58:71 96. 2. Wong AS, Auersperg N. Ovarian surface epithelium: family history and early events in ovarian cancer. Reprod Biol Endocrinol. 2003;1:70. 3. Amos CI, Shaw GL, Tucker MA, Hartge P. Age at onset for familial epithelial ovarian cancer. JAMA. 1992;268:1896 1899. 4. Vergote I, Trimbos BJ. Treatment of patients with early epithelial ovarian cancer. Curr Opin Oncol. 2003;15:452 455. 5. Changes in de nitions of clinical staging for carcinoma of the cervix and ovary: International Federation of Gynecology and Obstetrics. Am J Obstet Gynecol. 1987;156:263 264. 6. Landen CN, Jr., Birrer MJ, Sood AK. Early events in the pathogenesis of epithelial ovarian cancer. J Clin Oncol. 2008;26:995 1005. 7. Kaku T, Ogawa S, Kawano Y, et al. Histological classi cation of ovarian cancer. Med Electron Microsc. 2003;36:9 17. 8. Seidman JD, Horkayne-Szakaly I, Haib M, et al. The histologic type and stage distribution of ovarian carcinomas of surface epithelial origin. Int J Gynecol Pathol. 2004;23:41 44. 9. Malpica A, Deavers MT, Tornos C, et al. Interobserver and intraobserver variability of a two-tier system for grading ovarian serous carcinoma. Am J Surg Pathol. 2007;31:1168 1174. 10. Kurman RJ, Visvanathan K, Roden R, Wu TC, Shih Ie M. Early detection and treatment of ovarian cancer: shifting from early stage to minimal volume of disease based on a new model of carcinogenesis. Am J Obstet Gynecol. 2008;198:351 356.

Franks & Hanvey, 1997); a voice-activated timer (e.g., Starkes & Deakin, 1984); a joystick response, enabling a measure of response corrections as the action unfolds (e.g., Savelsbergh, Williams, van der Kamp, & Ward, 2002); ground reaction time pads interfaced with switches for full body movements (e.g., Ward, Williams, & Bennett, 2002); and real-time analysis of movement and live game scenarios (e.g., Bootsma & van Wieringen, 1990; Rodrigues, Vickers, & Williams, 2002). Thus, over the years, the stimuli as well as the response modes have generally increased in ecological validity, leading to more sensitive measures of expert-novice differences. The importance of ecological validity of the response mode was underscored by Oudejans, Michaels, and Bakker (1997), who found expert-novice differences in baseball catching judgments only when actual catching was required. The ecological validity of the perceptual stimulus also affects the observation of expert-novice differences in decisions. F ry and Crognier (2001) concluded that ball trajectories are harder to see in film clips than in real-life scenarios. It is likely that in two-dimensional presentations with a limited viewing angle, depth cues or peripheral information, which could be used in decision making, become obscured. The validity of stimulus presentations could be enhanced with virtual reality, which also affords more stimulus control than real-life game situations (see Williams & Ericsson, in press). A drawback of this method is the introduction of a time delay when coupled to the observer s action in real time. In a meta-analytic review of the expertise literature, J. R. Thomas, Gallagher, and Lowry (2003) showed that effect sizes tended to be larger when ecological

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