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This usually follows minor concussive head injury or less, with post-traumatic amnesic periods lasting a few minutes, rather than major head injury. It consists of a remarkably stereotyped set of symptoms, as shown alongside, unaccompanied by abnormal neurological signs. Controversy exists as to the cause of the post-concussion syndrome. On the one hand, it is accepted that concussive head injury can produce diffuse minor brain damage. (If repeated, this may accumulate to the punch-drunk state, known as post-traumatic encephalopathy, seen in some boxers towards the end of their careers.) On the other hand, the syndrome can be seen in some patients suffering head injuries at work, where the evidence of concussion or amnesia is very minimal and where litigation and nancial compensation are paramount. The syndrome can be very disabling for months, even years, after a minor head injury. Despite our lack of understanding of its precise nature, the syndrome has to be recognized as a de nite entity responsible for considerable morbidity after head injury in some patients.

The Purchaser s attorney, at Purchaser s expense, shall complete any tax return and cause the check and the tax return to be delivered to the appropriate off ice promptly after Closing 20 Broker The Purchaser and Seller state that neither has dealt with any broker in connection with this sale other than Joe s Real Estate Company, Inc, and the Seller agrees to pay the broker the commission earned pursuant to a separate agreement at the rate of Five Percent (5%) Each party agrees to.

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Table 8.1 Maximum amount of compensation available ($ million) for various sizes of tankers (White, 1999). Gross Tonnage 5000 25 000 50 000 100 000 140 000 1969 Liability Convention 0.8 4.0 8.1 16.2 18.9 1971 FUND 81.0 81.0 81.0 81.0 81.0 1992 Liability Convention 4.0 15.3 29.5 57.8 80.6 1992 Fund Protocol 182.0 182.0 182.0 182.0 182.0

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The segregation of obesity in families is consistent with a polygenic model of inheritance, with the exception of the rare Mendelian (caused by a single-gene mutation) forms of obesity (Comuzzie & Allison, 1998; Echwald, 1999). The polygenic component of obesity is likely to involve multiple additive gene variants, each of which has a small effect on phenotypic variation, and interacts with other genes and environmental factors. Each gene variant is neither suf cient nor necessary for the development of obesity (Sorensen & Echwald, 2001). Its is clear from the heritability estimates of obesity that environmental factors are important to the aetiology of obesity. However, the relative genetic and environmental contributions remain unclear. Epidemiological studies indicate that obesity is strongly in uenced by environmental factors. For example, differences in prevalence of obesity between populations and between different groups within populations are closely associated with socioeconomic and behavioural factors (Sorensen & Echwald, 2001). The rising epidemic of obesity throughout the western world and developing countries cannot be explained by

Because it has data on loans, the FRM Loan Loss Database is able to look at differences in recovery rates for loans versus bonds. The data in Exhibit 3.24 are similar to those from S&P PMD (see Exhibit 3.21). FRM calculates average recovery rates by several classi cations, such as collateral type, defaulted loan amount, borrower size, borrower type, and industry of the borrower. Subscribers to the Loan Loss Database receive all the underlying data points (except for borrower and lender names) so they can verify the FRM calculated results or perform additional analysis using alternative discount rates or different segmentation of the data. Exhibit 3.25 illustrates the bimodal nature of the recovery rate distribution that is estimated by FRM s Loan Loss Database. A signi cant number of loans to defaulted borrowers recover nearly all the defaulted exposure; and a signi cant number of loans to defaulted borrowers recover little or none of the defaulted exposure. This evidence suggests that it is preferable to incorporate probability distributions of recovery levels when generating expected and unexpected loss estimates through simulation exercises, rather than use a static average recovery level, since the frequency of defaulted loans that actually recover the average amount may in fact be quite low. Studies Based on Secondary Market Prices Altman and Kishore In 1996 Ed Altman and Vellore Kishore published an examination of the recovery

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Let us describe here some methodologies based on the aforesaid strategies, either individually or in combination. These methods are developed by four leading groups working on case adaptation. The rst one [2] involves learning adaptation knowledge from the case data. This knowledge is stored as a set of adaptation cases and used to carry out the task of adaptation. The second method of Leake et al. [3] integrates the use of rule- and case-based reasoning for adaptation. Whereas the approach of Goker [4] uses an adaptation matrix to compute the