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The present role of inpatient care in the treatment of anorexia nervosa varies enormously across the world. In Germany and the USA most patients are still treated as inpatients, whereas the trend at present in the UK is towards a stepped care approach employing outpatient, day patient and inpatient care in sequence. Unfortunately, this model is significantly compromised by a lack of specialist units and the variation in services nationally. This often leads to admissions to distant units which are delayed and expensive and are not coordinated with a local treatment programme extending over a longer period. A more rational approach may be the hub and spoke model of service organisation (Audit Commission, 1997), in which a central, specialist unit (the hub ) provides inpatient care, research and training and local units (the spokes ) provide outpatient care in collaboration with the hub .
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An inherent property of a UDG is that for any intersection between two edges (a, b) and (c, d) there exists at least one edge end point (for instance, node c in Fig. 15.5a) that is connected to the remaining nodes. This will be referred as the redundancy property in the following. Any undirected graph satisfying the redundancy property supports local detection of intersecting edges. More precisely, when the network nodes exchange two-hop neighbor information the intersection between two edges (a, b) and (c, d) is visible to all nodes in {a, b, c, d}. Whenever edge intersection can be detected locally it is a natural approach to explicitly remove only an edge whenever it intersects with another one. This, however, raises the question which of both edges has to be removed. As depicted in Figure 15.5a, removing both edges or even removing only the wrong one (edge (c, d) in this case) might result in a disconnected subtopology. Moreover, even if a localized construction method always selects the right edge the question remains if the resulting topology remains connected. More precisely, from a local point of view, removing edge (a, b) in Figure 15.5a will not cause disconnection since messages sent along the edge (a, b) can as well be relayed along the intermediate node c by using edge (a, c) at rst and edge (c, b) afterward. However, during some construction step these edges might have been removed as well. Thus, in order to keep the resulting topology connected any direct planarization scheme has to ensure that there remains at least a path from a to c and a path from c to b that do not use the removed edge (a, b).
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satisfying A U : tU (A) dom(A). The set of all tuples over U is denoted TU . A relation RU over U is a set of tuples over U, that is, RU TU .
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Commodity markets also have this property. A commodity is something that has a defined quality, such as a metal. For example, something either is gold or it is not gold. In the wholesale market, there s no such thing as being more goldy than something else. The gold that s traded on commodity exchanges in London either satisfies this definition or it s something else. To see why these things together mean that individual miners have no control over the price of gold, start with the fact that they are producing a nearly identical product. Because the gold from one place is identical to the gold from any other place, the only way an Angolan producer can entice you to buy from him rather than from a Russian producer is to offer you a lower price. Because all the gold is identical, all that producers have to compete on is price and price alone. With price jumping to the fore as the key factor in the commodity market, we can use supply and demand analysis to figure out what the price is going to be. As we describe in 8, where the market demand curve for gold crosses the market supply curve for gold determines the price. How are these curves determined To determine the market demand curve for gold, add up the individual demand curves of all the people who want to buy gold. To determine the market supply curve for gold, add up the individual supply curves of all the individual gold producers. The first two assumptions of perfect competition come into play here: so many producers of gold exist and each producer produces such a very small part of the total supply of gold that the market supply curve for gold is basically unaffected by the presence or absence of any given individual supply curve of any particular gold producer. If a trillion troy ounces of gold are sold every year, the market price is unaffected by whether a small producer with only 1,000 ounces to sell bothers showing up to the market or not. He s just too small a player to cause the market price to change. If every player is too small to cause the market price to change, each one has to take as given whatever price is generated by market demand interacting with market supply.
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Two-layered Bayesian network for indexing category and exemplar.
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