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Indeed, it is possible to identify several problems concerning CBCA evaluations (Vrij, 2000), and I will discuss two of them: How to determine that a statement is truthful , and What is the truth A major advantage of laboratory research is that comparisons can be made between lies and comparable truths In such studies, the situation for the participant in the truth and lie conditions are identical, apart from the fact that they have to lie or not Hence, the rule the higher the CBCA score, the more likely it is that the statement is truthful can easily be applied However, in real life there is often no comparable truth The statement of the child is often the sole piece of information that is available.

How then to decide that a statement is truthful or fabricated Some experts seem to apply decision rules ( at least ve criteria should be present in order to judge a statement as truthful ), others even seem to use very detailed decision rules ( the rst ve criteria should be present plus two more ) (See Vrij, 2000, for a review of decision rules) The use of decision rules in CBCA assessments is fundamentally wrong as it implies that CBCA is a standardised test, which is not the case A standardised test has clear norms.

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Scgain (C, A) =

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struct BaseWrap : Base, wrapper<Base> { int f() { if (override f = this->get override( f )) return this->get override( f )(); return Base::f(); } int default f() { return this->Base::f(); } };

To nd the image of a charge in a grounded conducting plane, it is well known that the image charge has the same magnitude as the real charge but an opposite sign and that it lies as much below the ground plane as the real charge is above it.

The latter sum is equal to zero unless X Z = , i.e., unless Z = X, because any finite, nonempty set has the same number of subsets of even as of odd cardinality. The proof (1) (2) is performed analogously. Proof of Theorem 4.1.26. (The proof follows mainly [Lauritzen 1996].) The proof consists of two parts. In the first part it is shown that, if the distribution pU is factorizable w.r.t. an undirected graph G, then G satisfies the global Markov property and thus is a conditional independence graph. This part of the proof, which uses Lemma A.4.1, is rather simple. In the second part, which is more complicated, a factorization of pU is derived from pU and the pairwise Markov property of an undirected graph G that is a conditional independence graph w.r.t. pU . For this second part we need Lemma A.4.2. For the first part of the proof let M 2U be a family of sets of attributes such that the subgraphs of G induced by the sets M M are the maximal cliques of G and let M be the functions of the factorization of pU w.r.t. G. Furthermore, let X, Y, and Z be three arbitrary disjoint subsets of attributes such that X and Y are u-separated by Z in G. We have to show that G has the global Markov property, i.e., that X pU Y | Z. Let X = {A U Z | A | Z | Y

Brainstem infarction Intracranial haemorrhage Post-ictal or inter-ictal coma Status epilepticus Concussion major head injury Meningo-encephalitis Cerebral abscess Standing for all CNS depressant drugs, including alcohol Standing for all metabolic causes for coma. Quite a useful way of remembering all possibilities here is to think of coma resulting from extreme deviation of normal blood constituents Oxygen Carbon dioxide Hydrogen ions Glucose Urea Ammonia Thyroxine Anoxia Carbon dioxide narcosis Diabetic keto-acidosis Hypoglycaemia Renal failure Liver failure Hypothyroidism

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It is a fact of life that very many of us are content to be instructed Not everyone wants to take responsibility, and not everyone is inclined to take creative risks Some people insist there is much they would rather not know, even about their medical treatment Some of us do not want autonomy (Understanding B see Nine) because it is taxing, and it can hurt Most of us are trusting, submissive and happy to have our horizons de ned for us Why should people not spend their lives in cotton wool if that is what they wish Why should people not freely decide to abdicate their autonomy in favour of being looked after by the State, an institution or another person In answer, there are two reasons why personal deliberation and independent choosing should be encouraged in all forms of human life, including professional life.

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