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We will now take a look at the revolutions of information transmission in the order they occurred. They are the telegraph, telephone, radio, television, cable TV, mobility, and the Internet. Some of the important events are given in Table 1.1. We want particularly to nd out the following: . What technology supported each innovation . What caused the social and political sectors to take an interest in the innovation Why did they invest in it . In turn, what were the social and political effects of the innovation

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report would be overstated because some product sales would be counted numerous times for each of their categories. The model has a primary flag to indicate which is the primary category for the product to avoid this situation. Notice that in Table 3.2 the diskettes are classified in two categories; however, one category is flagged as the primary category to avoid duplication of results when analyzing sales. The enterprise needs to enforce a business rule that only one category for the product may be primary. The last row shows a preprinted claims insurance forms product that falls into two product categories, a forms product and an insurance product. The types of parties that have been identified as possibly having an interest in the insurance category of products are insurance companies, insurance brokers, and health care provider organizations such as doctors' offices, hospitals, and so on. If the category that is primary varies depending on the application, then instead of the primary flag attribute, another entity would need to be added such as PRODUCT CLASSIFICATION TYPE which would be related to the PRODUCT CATEGORY CLASSIFICATION, to allow for more flexibility. In-

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If a segment meets the 10% criteria in the preceding period but not in the current period, then it should be reported separately if the management of the entity judges that the segment is of continuing importance..

is about 7.4%, while in speci c countries in southern Africa the prevalence is estimated to be at least 25%. It is also well established that the majority of those infected are young adults (15 35 years), and that young women are disproportionately at risk of HIV infection compared to young men. It could therefore be assumed that athletes in subSaharan Africa, in particular southern Africa, have a high prevalence of HIV. This statement is based the assumption that: Athletes fall into the age category 15 35 years; Risk behavior for HIV in athletes is no different from that of their peers in the same age category; and Participation in sports does not put athletes at any higher or lower risk of contracting HIV. In two studies the prevalence of HIV in athletes has been reported. In one study amongst National Football League (NFL) players in the USA, the prevalence of HIV was estimated to be 0.5% which is similar to the estimated prevalence rate for northern America (0.5%). In another study in boxers from South Africa, the prevalence of HIV in over 900 boxers tested in 1995 was determined to be 9%. It is clear that more accurate data on the HIV prevalence amongst sports people is required. risk of transmission of HIV during sporting activity Prior to 1989, there has been no documentation of HIV infection occurring as a result of participation in sports. However, the theoretical possibility of HIV transmission through open bleeding wounds in contact sports has been recognized by sports physicians. The rst case of possible HIV transmission as a result of sports participation was published in 1990. This involved an Italian soccer

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