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Effective communication with forensic clients from different cultural groups is a complex process that is largely dependent on the skills of the interviewer. These skills address the process and substance of the interview, and include the ability to use open-ended questioning strategies, develop a culturally sensitive rapport with the interviewee, keep an open mind, appreciate the wider sociocultural context of the event and the interviewee s responses, and to make appropriate decisions about when and how to elicit the assistance of a suitable interpreter. Unless forensic professionals begin to acknowledge the multitudinous issues that clients from different cultural groups present, and partake in training programmes to develop the range of skills required to respond to these, it is unlikely that much needed improvements will be made to current interview and assessment practices with these diverse and often disadvantaged client groups.

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, 1999, for a recent review), and from whose perspective, not to mention how to measure the outcome of deterrence How does one measure what people do not do (in the case of general deterrence, do not offend) while also considering the counterfactual, or what they would have done if deterrence were not at work From a research perspective, therapeutic jurisprudence does not have these theoretical and practical dif culties because the constructs themselves are reasonably concrete and are present The possible exception to this would be how to de ne and measure emotional well-being as it relates to therapeutic and antitherapeutic effects, which results in the value con ict previously discussed Second, therapeutic jurisprudence has an inherent focus on process and the link to outcomes This is useful from both a research and a practice perspective In the research.

elds as shown in Fig. 2.2.2. These fringing elds increase with the circumference and thickness of the interconnection line and add to the overall capacitance of an interconnection structure. Relative contribution of the fringing elds to the total interconnection capacitance increases as the interconnection dimensions are scaled down. 2.2.3 Coupling Capacitances

the network is trained on the remaining training patterns, and then the classi cation of the removed training patterns is predicted Over tting is a more serious and less avoidable problem [81] Typically, there is small variation or noise in the descriptor values, so that if there are too many parameters for example, too many neurons in the hidden layer then training may lead to an interpolation of the slightly awed training set at the expense of poor generalization of the training set In both over tting and overtraining, convergence of the nonlinear optimization algorithm is common, but predictions are either meaningless in the case of over tting or too dependent on the choice of the training Because graphical invariants are often discrete valued and highly dependent on the construction of the graphical model, over tting and overtraining are important issues that cannot be overlooked.

[9] 3GPP, Technical Speci cation Group RAN, Medium Access Control (MAC) protocol speci cation, 3GPP TS 25.321 version 6.7.0, Release 6, available at www.3gpp.org [10] 3GPP, Technical Speci cation Group RAN, Radio Resource Control (RRC) protocol speci cation, 3GPP TS 25.331 version 6.8.0, Release 6, available at www.3gpp.org [11] 3GPP, Technical Speci cation Group RAN, Iub, 3GPP TS 25.433 version 6.8.0, Release 6, available at www.3gpp.org

r Eating disorder symptomatology in males r Psychiatric comorbidity in eating-disordered males r Endocrinological ndings.

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For this reason, we conclude with a more mathematical exploration of the ANN algorithm so that their training and predictive properties can be better understood To begin with, suppose that y = (y1 , .., yn ) denotes the output from a three-layer MLF that has r input neurons connected to m hidden layer neurons that are connected to n neurons in the output layer It has been shown that with the appropriate selection of synaptic weights, a three-layer MLF can approximate any absolutely integrable mapping of the type f (x1 , , xr ) = (y1 , , yn ) to within any > 0 [82] That is, a three-layer MLP can theoretically approximation the solution to any classi cation problem to within any given degree of accuracy, thus leading MLFs to be known as universal classi ers.

depends on the frequency and nature of mutations, especially the extent to which they may be heritable (occurring in gametes) and disruptive The most direct mode is the direct reversal of the damage, for example, when alkylated DNA bases are repaired by alkyltransferases (Friedberg et al, 1995) This form of repair is highly effective because it occurs more rapidly than multistep biochemical pathways such as excision repairs, and because it produces relatively few errors Nevertheless, this mode of repair may be energetically quite expensive, as an entire protein molecule is expended in each reaction The types of DNA damage that can be repaired by direct reversal are limited, and the most common mode of repair involves excision of the damaged bases and resynthesis of DNA (reviewed by Friedberg et al, 1995).