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Buying an Inflation: The Risks of Too Much Money .................................. 90 Balancing money supply and demand .............................................. 90 Giving in to the inflation temptation ................................................. 92 Tallying up the effects of inflation ..................................................... 98 Measuring Inflation: Price Indexes ............................................................ 100 Creating your very own market basket ........................................... 101 Calculating the inflation rate ............................................................ 102 Setting up a price index .................................................................... 103 Determining the real standard of living with the price index ...... 104 Identifying price index problems ..................................................... 105 Pricing the Future: Nominal and Real Interest Rates .............................. 106 Using the Fisher equation ................................................................. 107 Realising that predictions aren t perfect ........................................ 107

Neurological examination reveals weakness of the left foot dorsi exion, left foot eversion, left toe dorsi exion and some altered cutaneous sensation down the lower anterolateral calf and dorsal aspect of the foot on the left. A left common peroneal nerve palsy, secondary either to compression (when intoxicated) or to trauma, at the neck of the left bula, is explained as the most probable diagnosis.Arrangements are made for a surgical appliance of cer to provide a foot-support, the physiotherapists to assess him, and for neurophysiological con rmation of the diagnosis. The patient defaults on all these and further appointments.

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The therapeutic role of the judge was not as clear in the domestic violence court. I see it more in the mental health court. I found domestic violence offenders to be very manipulative and deceptive. Because the offense of domestic violence is looked down on in society, the offenders feel that they have to hide their offenses. They lie to themselves and everyone else. Mental health court is different. People bring me Valentines on Valentine s Day. They want to please me. If they miss a court day, they come in a few days later and apologize. Mentally ill offenders respect the fact that I am wearing a black robe. The idea of someone in authority that cares about them is very powerful in these cases. Some sort of bonding seems to occur. (R. Fritzler, personal communication, March 19, 2001)

The eld of case-based reasoning (CBR), which has a relatively young history, arose out of the research in cognitive science. The earliest contributions in this area were from Roger Schank and his colleagues at Yale University [1,2]. During the period 1977 1993, CBR research was highly regarded as a plausible high-level model for cognitive processing. It was focused on problems such as how people learn a new skill and how humans generate hypotheses about new situations based on their past experiences. The objectives of these cognitive-based researches were to construct decision support systems to help people learn. Many prototype CBR systems were built during this period: for example, Cyrus [3,4], Mediator [5], Persuader [6], Chef [7], Julia [8], Casey, and Protos [9]. Three CBR workshops were organized in 1988, 1989, and 1991 by the U.S. Defense Advanced Research Projects Agency (DARPA). These formally marked the birth of the discipline of case-based reasoning. In 1993, the rst European workshop on case-based reasoning (EWCBR-93) was held in Kaiserslautern, Germany. It was a great success, and it attracted more than 120 delegates and over 80 papers. Since then, many international workshops and conferences on CBR have been held in different parts of the world, such as the following: Second European Workshop on CBR (EWCBR-94), Chantilly, France First International Conference on CBR (ICCBR-95), Sesimbra, Portugal

Therefore we have a dom(A) : b dom(B) : P(A = a, B = b) = g(a, b) fh (b) and b dom(B) : c dom(C) : P(B = b, C = c) = fg (b) h(b, c). Summing either the first of these equations over all values a dom(A) or the second over all values c dom(C) yields, in analogy to the above, b dom(B) : P(B = b) = fg (b) fh (b).

Problem features City district Address of apartment Type of apartment Source of information Solution Rental cost of apartment

L sel, F and Bender, D (in press) Resilience and protective factors In DP Farrington and J o Coid (eds), Prevention of adult antisocial behavior (pp 130 204) Cambridge: Cambridge University Press L sel, F, Bender, D and Bliesener, T (1998) Biosocial risk and protective factors for antisocial o behavior in juveniles: Heart rate and family characteristics Paper presented at the XVth Biennial Meetings of the International Society for the Study of Behavioral Development, Berne, Switzerland L sel, F and Bliesener, T (1994) Some high-risk adolescents do not develop conduct problems: o A study of protective factors International Journal of Behavioral Development, 17, 753 777 L sel, F and Bliesener, T (1998) Zum Ein u des Familienklimas und der Gleichaltrigeno gruppe auf den Zusammenhang zwischen Substanzengebrauch und antisozialem Verhalten von Jugendlichen Kindheit und Entwicklung, 7, 208 220 L sel, F and Beelmann, A (in press).

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