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As any knowledgeable LEAP trader will readily state, interest rate risk is quite easily a LEAP s single greatest vulnerability among the key market variables that are used to value an option Why Since an option can be seen as a leveraged play on the market, and since leverage means financing, the cost of that financing is measured by an interest rate The longer the time that a strategy is leveraged, the greater the overall contribution that is being made by the relevant financing rate Indeed, in some instances, an option need not have a final expiration much beyond six months to have a situation where, all else being equal, the price value of the LEAP responds more to an incre-.

[36] Global Grid Forum, http://wwwggforg [37] Y Zhu, A Jukan, M Ammar and W Alanqar (2004) End-to-End Service Provisioning in Multi-granularity Multi-domain Optical Networks , IEEE ICC 2004, Paris, France [38] H Zang, J Jue, and B Mukherjee (2000) A Reviewof Routing and Wavelength Assignment Approaches for Wavelength-Routed Optical WDM Networks, Optical Networks Magazine, 1(1) [39] Y Xin and GN Rouskas, Multicast Routing Under Optical Layer Constraints, Proceedings of IEEE Infocom 2004, March 2004, Hong Kong [40] P Mehrotra, G Karmous-Edwards, and D Stevenson (2003) Defining Optical Plane QoS Parameters for OBS Networks , Workshop for Optical Burst Switching (WOBs) [41] A Chiu (ed) (2002) Impairments and Other Constraints on Optical Layer Routing, draft-ietf-ipo-impairments-02txt, August 2002 [42] http://wwwglifis/publications/press/20040525php [43] Y Chen, C Qiao and X.

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Actions: The action implies executing the Service B using the particularized execution parameters included in the speci cation of the action parameters This action is enforced by the Code Execution Controller Action Consumer 6424 Service Assurance Policies These policies are intended to support and oversee the achievement of QoS levels established for different services Essentially, they are involved with the arrangement and supervision of the service quality indexes computed from system data, and with the decisions needed for corrective actions if the indexes are not within acceptable limits Three different types of policies have been recognized in the Assurance Policy Group: Service Assurance Initialization Policies Processed when a service start its execution These policies provide the actions needed to con gure the running service (SLO) to export assurance parameters Service Assurance Execution Policies Processed after assurance initialization and during a service execution.

Neum rker (2000) found a crude mortality rate in eating disorders which ranged from 0 to a 20%. A more precise method to analyse and document the mortality rate is the standardised mortality ratio (SMR), which is de ned as the relationship between observed and expected deaths, using the subject years method. In his review, MR varied between 1.4 and 17.8. In our own long-term follow-up study (L we et al., 2001; Zipfel et al., 2000a), we found o a SMR of 9.8, very similar to the SMR (9.6) published by Herzog et al. (2000). This relatively broad range of estimates is mainly due to methodological limitations, such as study design and reporting of missing data. The main causes of death in AN patients are suicide and ventricular tachyarrhythmia. Other important causes of death, however, include disorders of the electrolyte balance (including hypophosphataemia), infections (pneumonia, sepsis), terminal renal failure, shock, ileus and gastric perforation. The mortality in AN patients of the binge-eating/purging type is about twice as high as that of the restricting type (Moller et al., 1996; Norring & Sohlberg, 1993). Mortality rates in BN patients are lower than AN and are mainly due to suicide. This reduced mortality is due to the lack of starvation-related causes, but may also in part be due to the shorter follow-up periods of outcome studies.

Provide the actions to be applied when assurance parameters are within unacceptable margins These policies can be based on different severity levels, applying different corrective actions depending on them Service Assurance Finalization Policies Processed when a service stops its execution Provide the actions to be applied in order to stop the assurance activity associated with the stopped service It is assumed that the Service Assurance Condition Evaluator and the Service Assurance Action Consumer will be the main components responsible for monitor the conditions and enforce the related actions Service Assurance Policy Group Example: In this section high-level examples of these types of policies are presented.

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