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Although it is to be expected that virtually all those exposed to a traumatic event will develop some form of acute posttraumatic distress or dysphoria, the prevalence with which such dysphoria reaches the amplitude of a psychiatric disorder wherein it interferes with social or occupational functioning is another issue. Consider the following: 1. The lifetime prevalence experienced by adults for exposure to one or more traumatic events (as defined by the DSM-IV) has been estimated to be more than 89% in an urban community area investigation (Breslau et al., 1998). 2. Overall, among those exposed to extreme trauma, about 9 percent ultimately develop post-traumatic stress disorder (U.S. DHHS, 1999, p. 237), but this statistic may be misleading. 3. Given the especially severe forms of traumatic stressors, the risk of developing PTSD was found to be about 34% (current prevalence) in response to mass disasters (North et al., 1999), about 49% in response to rape, and about 53% ( lifetime prevalence) in response to captivity, kidnapping, or torture (Breslau et al., 1998). 4. When considering the risk of developing PTSD within high risk occupational groups, the prevalence of posttraumatic stress disorder ranged from 15% to 31% for samples of urban firefighters based on a traumatic exposure prevalence ranging from 85% to 91% (Beaton, Murphy, & Corneil, 1996). The current prevalence of PTSD was psychometrically estimated to be about 18% in a random sample of Kuwaiti firefighters (Al-Naser & Everly, 1999). Finally, the current point prevalence of PTSD was psychometrically estimated to be about 13% in a sample of suburban police officers (Robinson, Sigman, & Wilson, 1997). 5. The current point prevalence of PTSD among Vietnam veterans was estimated to be about 15%, while the lifetime prevalence was estimated to be about 30% (Kulka et al., 1988).

At the rst stage of the early implementation of GPS signals, the situation was quite different from the one GNSS is facing today The constellation was almost alone in the sky (for satellite-based navigation) and the life-time of satellites was highly dependent on the power transmitted by the satellite In order to preserve this latter fundamental parameter, the power level was set to the acceptable value of typically 2130 dBm Once again, the case of GLONASS is a little different, with the need to coexist with the radio astronomy community9 Thus, it is not possible to increase the power levels that much.

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Whereas this requirement is easily satis ed by hard-coded programs that look for services, it does not hold true in a mobile environment, since one cannot expect the user to query a registry to nd the desired service. Rather, the infrastructure needs to guess the needs of the user and propose the most appropriate services for delivery. The resulting architecture is displayed in Figure 4.17. The user is placed in direct contact with a Proactive Service Portal, which displays services that are gauged to be of interest. The discovery of these services follows different paths. One of them is based on the SOA proposal in which services register with the Service Registry as they would do in SOA; but, whereas in SOA the queries come directly from the Requester, in the Mobile Services Architecture they come from the Recommender: a recommendation system that exploits the history of the user s service usage to nd the best service to be delivered at a given time. Alternatively, discovery is based on self-promotion: services promote themselves directly to the service portal so that the user can be noti ed of their availability. The following sections discuss how the different components of the Proactive Service Provisioning mechanism work. Speci cally, in Section 4.4.2, the service categorisation mechanism, which includes the representation of services and the matching mechanism to verify whether a request for a service is satis ed by a given service advertisement, is discussed. The service recommendation mechanism discussions in Section 4.4.3 and the Self-promoting Services discussions in Section 4.4.4 complete the section.

The other solution, in order to acquire the signal in degraded conditions (with reduced received power levels), would be to increase the code length in order to be able to lower the detection limit (remember that the correlation equivalent gain is a function of the length of the code), but at the expense of an icreased acquisition time This is nevertheless the procedure adopted with some Galileo signals, together with an increased power level (of a few dB) However, increasing the length will certainly cause some dif culties regarding the navigation message bit duration, which is the next limit for acquisition From all this arose the idea of duplicating the signals in order to provide so-called pilot tones.

The last step in query optimization is code generation. Code is the nal representation of the query and is executed or interpreted depending on the type of operating system or hardware. The query code is turned over to the execution manager (EM) to execute.