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instructions, they cannot be changed during runtime An advantage is that all code runs in a sandboxed virtual environment and bene ts from all of its safety guarantees Application Speci c Virtual Machines (ASVM) [43] is a enhancement of Mat and addresses its main limitations with respect to exibility, concurrency and propagation ASVM supports a wide range of application domains, whereas Mat is designed for a single domain only In Mat , only a single shared variable can be used In ASVM, an operation component can register several shared variables, and the system ensures race-free and deadlock-free execution The code propagation is not only done via broadcasts, but with a control algorithm based on Trickle to detect when code updates are really needed on other nodes.

), Situational crime prevention: Successful case studies Albany, New York: Harrow & Heston Cohen, LE and Felson, M (1979) Social change and crime rate trends: A routine activity approach American Sociological Review, 44, 588 608 Cornish, DB and Clarke, RV (eds) (1986) The reasoning criminal Rational choice perspectives on offending New York: Springer-Verlag Van Dijk, JJM (1994) Understanding crime rates British Journal of Criminology, 34 (2), 105 121 Ekblom, P (1999) Can we make crime prevention adaptive by learning from other evolutionary struggles Studies on Crime and Crime Prevention, 8 (1), 27 51 Farrington, D and Knight, BJ (1980) Stealing from a lost letter Criminal Justice and Behaviour, 7, 423 436 Farrington, D (1989) Early predictors of adolescent aggression and adult violence Violence and Victims, 4, 79 100 Farrington, D (1993) Understanding and preventing bullying In M Tonry (ed), Crime and Justice, vol.

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but are rather less good in accounting for weight gain above normal levels In as much as an eating disorder involves low weight and restraint, set point models may be useful However, this may not be the case with respect to eating disorders at normal or above normal weight Set point ideas are often dressed up with evolutionary stories It is suggested that regulatory mechanisms would have evolved which tended to keep an individual within a range which was optimal for survival and reproduction However, a criticism of set point theory suggests that in the ancestral environment, where food would have been scarce, mechanisms would have been favoured that allowed an animal to eat more food when it was available than would be necessary for its immediate needs.

Storage of potential energy and substance putting on weight would be advantageous in circumstances of erratic food supply in a way that would not be the case for strong satiety mechanisms which cut consumption when immediate needs were met Furthermore, it is plausible that such permissive mechanisms might be more advantageous for younger females of reproductive age and, indeed, some sexual difference in satiety mechanisms can be observed (Goodwin, Fairburn & Cowen, 1987) But if restraint models are not fully adequate, what other models are available One is that of so-called positive-incentive theory This emphasises the rewards of eating, including its hedonic properties Feeding is intrinsically rewarding and this is especially the case with respect of foods which might well have been valuable but scarce in the ancestral environment such as sweet foods, fatty foods and salty foods Eating such foods was and of course still is especially rewarding.

Each ASVM consists of a template, which includes a scheduler, a concurrency manager and a capsule store, and of extensions, which are the application-speci c components that de ne a particular ASVM Handlers as an extension of Mat s event contexts are code routines that run in response to system events Operations are the units of execution functionality, divided into primitives and functions A particular language is compiled to primitives which are, therefore, language speci c Functions are language independent and provided by the user to tailor an ASVM to a particular application domain Capsules are again the units of code propagation, but can be longer than in Mat and are, therefore, split into fragments during propagation Building an ASVM involves connecting handlers and operations to the template Again, an ASVM instruction has an overhead of 400 cycles, thus making complex mathematical code in ASVM infeasible.

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