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headers. The four types are the general headers, the entity headers, the request headers, and the response headers. All of these are to be interpreted and acted on by clients, proxies/gateways, and servers. The syntax of an HTTP header, shown in the Table 3.11, consists of a name value pair separated by the colon character and ending with a carriage return and a linefeed (CRLF). An HTTP message may have any number of headers, that is, zero or several; therefore, they are an optional component of the HTTP message. An example of a Date header is shown below:

11

1998; Pope, Keith-Spiegel, & Tabachnick, 1986). Psychologists are even more likely to engage in sexual intimacies with their students or supervisees. One survey revealed that 17% of female psychologists had sexual relationships with a graduate school professor (Glaser & Thorpe, 1986), while about 12% of psychology teachers reported having sexual relationships with students (Pope et al., 1987). The Ethics Code states that sexual intimacy between psychologist and patient is unethical during ongoing professional services such as

T with initial We (0) satisfying the condition We (0)We (0) = Ie . It is worth to note, that for e = n, the separating matrix We = W is orthogonal and our learning rule simpli es to the well-known algorithm proposed by Cardoso and Laheld in [155]:

Much of the information necessary for this section of the study can be obtained from local chambers of commerce, convention and visitor bureaus, hotel and motel associations, airport authorities, government agencies, and, in the case of office space occupancies, the local office building owners association. Each individual situation will require contact with other possible sources of relevant information.

Pr{S, Pr{S, F,t (t)

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= (I (W1 , X) I (W1 ; Y )) + (1 ) (I (W2 , X) I (W2 ; Y )) = RY (D1 ) + (1 )RY (D2 ), proving the convexity of RY (D). We are now in a position to prove the converse to the conditional rate distortion theorem. Proof: (Converse to Theorem 15.9.1). Consider any rate distortion code with side information. Let the encoding function be fn : X n {1, 2, . . . , 2nR }. Let the decoding function be gn : Y n {1, 2, . . . , 2nR } X n , and n nR denote the ith symbol produced by the let gni : Y {1, 2, . . . , 2 } X decoding function. Let T = fn (X n ) denote the encoded version of X n . We must show that if Ed(X n , gn (Y n , fn (X n ))) D, then R RY (D). We have the following chain of inequalities:

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initiation and lifetime use of tobacco as well as several indirect measures of tobacco dependence (including amount smoked and persistence; for reviews, see Heath & Madden, 1995; Sullivan & Kendler, 1999; Swan, 1999a; Swan & Carmelli, 1997). Pooled analyzes of the results from these studies lead to the conclusion that 56% of smoking initiation is attributable to genetic factors (44% to environmental sources), while 67% of variance in indirect measures of tobacco dependence can be attributed to genetic factors (33% to environmental sources; Sullivan & Kendler, 1999). The vast majority of the studies conducted thus far have examined genetic in uences on class I phenotypes. Several studies have discovered that different genetic and environmental in uences play a role at different stages in the development of smoking. Heath and Martin (1993) found that the best- tting genetic model was one that incorporated separate but correlated genetic sources of variation for each phase of the natural history of smoking. At least three

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