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If the physician attributed the patient s symptoms to nerves, unknown factors, or a psychiatric disorder, the patient would automatically receive a score counting toward a psychiatric diagnosis, regardless of whether the patient agreed with the physician Also, if several physicians diagnosed a patient as having a medical disorder, but only one attributed the symptom to a psychiatric disorder, the item would be scored to count toward a psychiatric diagnosis Many physicians still do not accept CFS as a legitimate medical disorder, so it is possible that many patients would have had at least one physician who diagnosed their medical complaints as being a psychiatric disorder, thus increasing the likelihood that people with CFS would receive a psychiatric disorder diagnosis when assessed with this instrument.

in uence the likelihood of disease transmission. Psychologists will remain active in most of these levels of prevention. For example, when a vaccine is developed, psychologists will play an important role in developing delivery and adherence strategies to facilitate the vaccine s rapid, safe, and effective deployment (Hays & Kegeles, 1999; Koblin et al., 1998). However, because a vaccine is not yet available and one may not be ready for many years prevention of new infections through behavior change provides the most prudent, practical, and affordable public health strategy. Therefore, in this section, we review interventions that have been implemented to reduce the risk of HIV transmission through changes in sexual behavior or drug use. We focus on important early studies, and recent studies that illustrate promising developments. The literature on primary prevention interventions can be organized in several ways. First, we might organize it based on whether the intervention is designed to reduce HIV transmission through sexual behavior change or through reduction of needle sharing. Sometimes, however, these two intervention targets overlap, as with risk reduction efforts among sexually active, injection drug users. Second, prevention interventions might be distinguished by demographic, developmental, or behavioral characteristics of the population being served (e.g., men or women, adolescents or adults, gay or straight). A third way to distinguish prevention interventions is with respect to the setting in which they occur. In this chapter, we use McKinlay s (1995) conceptual framework, which

By contrast, the Structured Clinical Interview for the DSM-IV (SCID; Spitzer, Williams, Gibbons, & First, 1995) uses open-ended questions and all potential sources of information to encourage a thorough description of the problems by the interviewee Use of the SCID is also limited.

Running a Path/ Site Survey. This can turn out to be the most important step in the design of an LOS microwave link (or hop). We have found through expe-

The suitably aggregated data collected by the sensors is to be routed to the sink before being uploaded to the end user. In addition to the sensors in cluster S, a number of sensors are selected to act as routers, relaying the data collected to the sink. Collectively, these sensors are the workforce W(T) associated with T. The process by which W(T) is selected follows. During a time interval of length D the sink issues a call for work containing the parameters of T. The sensors in the same wedge as S and with corona numbers smaller than that of S that happen to be awake during the interval D and that satisfy the conditions speci ed (membership in S and energy level) stay awake and constitute W(T). It is intuitively clear that by knowing the number of sensors, the density of deployment and the expected value of sleep periods, one can ne-tune D in such a way that W(T) is commensurate with the

A node address (a, b, c) is of the shortest path form if and only if the following conditions are satisfied: 1. At least one component is zero (that is, abc = 0) 2. Any two components cannot have the same sign (that is, ab 0)

and he will not have used all his money. For simplicity, let us assume that he throws the rest away. For example, the amount of wealth resulting from a bet b(0110) on a sequence x = 0110 is 2l(x) b(x) = 24 b(0110) plus the amount won on all bets b(0110 . . .) on sequences that extend x. Then we have the following theorem: Theorem 14.9.1 The logarithm of the wealth a gambler achieves on a sequence using universal gambling plus the complexity of the sequence is no smaller than the length of the sequence, or log S(x) + K(x) l(x). (14.78)

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