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In response to the call for a more systematic and standardised approach, guidelines for clinical practice and its delivery are being developed internationally. The American Psychiatric Association was the rst to publish guidelines for the treatment of eating disorders (APA, 1992) and published a revised edition in 1993 and 2000. Guidelines currently in circulation in the UK are those published from a collaboration between the Royal College of Psychiatrists (2001) and the Eating Disorders Association (1995) and also the British Psychological Society (Bell et al., 2001). The National Institute of Clinical Excellence (NICE) is also planning the development of eating disorder clinical guidelines (www.nice.org.uk). Australian guidelines will shortly appear and the National Commission in Italy are also developing guidelines emphasising evidence-based practice (Ruggiero et al., 2001). Regarding a broader classi cation of eating disorders, obesity is also a public health concern frequently revisited by the World Health Organisation. In the UK the most comprehensive guidelines for the management of obesity are found in the SIGN report (Scottish Intercollegiate Guidelines Network, 1996) and these are due to be updated.

To find approximate decompositions we need, as in the relational case, a measure for the strength of dependences. For a strictly positive probability distribution, such a measure can easily be derived from the Kullback Leibler information divergence by comparing two specific distributions, namely the joint distribution over a set of attributes and the distribution that can be computed from its marginal distributions under the assumption that the attributes are independent. For two attributes this measure can be defined as follows [Kullback and Leibler 1951, Chow and Liu 1968]: Definition 7.1.4 Let A and B be two attributes and P a strictly positive probability measure. Then Imut (A, B) =

(2.6)

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The first step in the process of reselling a real estate option is to calculate its resale value. There is an old adage in real estate sales, which goes something like this: Getting greedy will get you needy. Please keep this sage advice in mind when you are pricing your options for resale. In other words, do not try to suck every last dime out of the deal. Instead, price your real estate options so there is enough profit potential to entice prospective buyers. I always try to sell my real estate options for at least 10 percent of the property s market value. For example, on a property with a fair market value of $250,000 that I have an option to buy for $190,000, I would price my option at $30,000. This way, I would be fairly compensated for the time and effort that it took me to get the property under option. And whoever buys my option would still be able to buy the property for $30,000 below market value when he or she exercises the option. You can use the same step-by-step instructions that I outlined in 12 to estimate a property s market value. When calculating the resale price of a real estate option, do not forget to include the cost of: 1. Searching for the property. 2. Buying the real estate option. 3. Putting the property in a marketable condition. 4. Marketing the property. 5. Your time spent on the transaction.

FIGURE 1.1 Last-mile bottleneck between a user s desktop or laptop computer and the metro and long-haul facilities.

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The tolerance sensitivity S is de ned as the ratio of variance of peak eld strength 2 produced by errors of variance T (Uzsoky and Solymar, 1956): 2 J J* j ( E )2 2 J A J* J J* 2 S = E = E2 = = 2 j 2 J A J* j j

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