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The requirement to respect persons equally when working for health follows from the requirement to create and respect autonomy in everyone. We regard people as valuable not only because of what each can do, but because of what each is. The cardinal aspects of personhood being able to value one s life and having the potential for future choices are shared equally by all persons. The extent to which the box respect persons equally should be employed is a matter of judgement. However, as with the other blue boxes, if this box is to be superseded rmly convincing reasons are required. If persons are not respected equally, perhaps because resources are scarce, then this is discrimination between beings who are fundamentally equal. If such discrimination is condoned by a health service for unjusti able reasons then there are dangerous implications for that society as a whole. If it is all right for a health service to discriminate on grounds of age, race and economic worth, then other social institutions have carte blanche to do the same.

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SMG 222/97. SMG 240/97. 34 SMG 163/97 and 164/97. Early versions of these documents had been prepared in two meetings as an input to SMG by a subset of the SMG steering group: N.P.S. Andersen the SMG2 chairman and me as SMG chairman, G.Sandegren and A. Maloberti the SMG vice-chairmen and supported by A. Bergmann the PT SMG co-ordinator.

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endwhile; } Note that the while loop is performed n times as each execution reduces the number of clusters by 1 The initial construction of the heap requires a time of O(n2 log n2 ) = O(n2 log n) Then, each of operations inside the loop requires no more than O(log n2 ) = O(log n) (because the heap has size n2 ) Thus, we conclude that the time complexity is O(n2 log n) There exists an interesting link between the single-link clustering algorithm and the subdominant ultrametric of a dissimilarity, which we examined in Section 643 To construct the subdominant ultrametric for a dissimilarity dissimilarity space (S, d), we built an increasing chain of partitions 1 , 2 , of S (where 1 = S ) and a sequence of dissimilarities d1 , d2 , .

EJB & JSP: Java On The Edge, Unlimited Edition ISBN: 0764548026 by Lou Marco Your Guide to Cutting-Edge J2EE Programming Techniques.

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Running Pavlov1.par and Pavlov2.par produces almost identical results, except for a message telling the user that a new rule or new datum is being created. We list outputs in Table 14.2 for both programs. The introductory messages are skipped, since they are identical for both programs. (Data entered by the user are listed in bold type.) Pavlov2 has a big advantage over Pavlov1: the learned responses can be stored without modi cation of the program itself. The skills embodied in Palov1 are

(where d1 = d) on the sets of blocks of 1 , 2 , , respectively We claim that this sequence of partitions 1 , 2 , coincides with the sequence of partitions 1 , 2 , , and that the sequence of dissimilarities d1 , d2 , coincides with the sequences of dissimilarities d 1 , d 2 , de ned by the matrices Di constructed by the single-link algorithm This is clearly the case for i = 1 Suppose that the statement is true for i The partition i+1 is obtained from i by fusing the blocks B, C of such that di (B, C) has the smallest value, that is, i+1 = ( i {B, C}) {B C} Since this is exactly how the partition i+1 is constructed from i , it follows that i+1 = i+1 .

3

b dom(B) [ ] (a, b|c)

The inductive hypothesis implies that d i (U, V ) = di (U, V ) = min{d(u, v)|u U, v V } for all U, V i Since the dissimilarity di+1 is di+1 (U, V ) = min{d(u, v)|u U, u V } for every pair of blocks U, V of i+1 , it is clear that di+1 (U, V ) = di (U, V ) = d i (U, V ) = d i+1 (U, V ) when neither U nor V equal the block B C Then, di+1 (B C, W) = min{d(t, w)|t B C, w W} = min{min{d(b, w)|b B, w W}, min{d(c, w)|c C, w W}} = min{di (B, W), di (C, W)} = min{d i (B, W), d i (C, W)} = d i+1 (B C, W) Thus, di+1 = d i+1 Let x, y be a pair of elements of S.

Outcome Eliminated, Criteria 5 Accepted into study Accepted into study Eliminated, Criteria 5 Eliminated, Criteria 5 Eliminated, Criteria 5 Eliminated, Criteria 5 Eliminated, Criteria 1 Eliminated, Criteria 5 Eliminated, Criteria 5 Eliminated, Criteria 5 Accepted into study Accepted into study Eliminated, Criteria 3 Eliminated, Criteria 3 Accepted into study Eliminated, Criteria 5 Eliminated, Criteria 1 Accepted into study Eliminated, Criteria 1

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