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Before optimizing, we must clearly know why the application failed a performance objective in the rst place. Having an instrumented application can be a great help in doing this. Even if we need to add some probing points in the application, the existence of instrumentation infrastructure could make this task simpler. Another approach is to use a pro ler. Symbian offers pro ling support when working on reference boards via the Symbian Sampling Pro ler which is available in the Series 60 SDK. You can nd further information about the Symbian pro ler in the article at developer. symbian.org/wiki/index.php/Symbian C++ Performance Tips . Pro ler support is also available from the ARM RealView Pro ler (RVP), available from www.arm.com/products/DevTools/RVP.html .

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insurance company has to decide what the insurance premium should be to cover a pharmaceutical company that is planning to introduce a new anti-cancer drug, with the possibility of toxic side-effects not yet known for the population at large, the insurance company will lose business if it adopts a wait-and-see policy before it sets its premium, especially if national law insists that the pharmaceutical company has to have insurance policies in place before the drug can be released In such cases the insurance company must try to work out a competitive premium based on what is known as well as what it believes it knows, and hope it gets it right.

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The insurance company needs a formalism that will allow it to play around with various hypotheses that will allow it to calculate best-case and worst-case scenarios, where such scenarios will make assumptions about mortality rates and toxic side-effects as well as a range of compensation claims that may arise Conditional probability approaches are widely used to deal with such uncertain situations Similarly, there may be uncertainty as to the cause of a particular event Let us say that the insurance company is presented with a claim from an individual that taking the anti-cancer drug has led to severe side-effects, including loss of energy and therefore loss of job.

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Roche et al (2001) suggest that the doses of CLA (c 3 g/day) used in these human trials may not have been suf cient to reproduce the bene cial effects upon body weight and body composition seen in animal studies Most methods of measuring body composition in humans are relatively insensitive and small changes achieved in short-term studies might be missed A recent report of a long-term trial of large CLA supplements in a relatively large sample of overweight people has found signi cant effects upon body weight, body composition and lipoprotein pro le (Gaullier et al 2004) This group used 180 mainly female subjects with body mass index (BMI) in the range 25 30 kg/m2 (considered to be overweight but not clinically obese) This was a double-blind, placebo-controlled trial that used three treatments for a whole year: Capsules containing 4.

The company will need to work out the probability that the drug is to blame given the loss of energy and other factors, such as natural ageing or the original cancer having caused bodily damage before the drug was administered for the rst time Frequentist data may be missing when various conditions affect an individual in speci c ways Related concepts here are those of independent and dependent events Two events are independent if the probability of either of them remains the same if the experiment is repeated many times For instance, the event of the coin will land heads will remain at 50 per cent, no matter how often the coin is ipped, assuming the coin is fair.

35% 30% 25% 20% 15% 10% 5% 0% 1975 1980 1985 1990 1995 2000 2005

If the rst time the coin is ipped ( rst event) it lands on heads, there is still a 50 50 chance that the next time it is ipped (second event) it will land on heads, and the next time, and the next time, and so on While the sequence of ipping the coin 20 times and it landing on heads each time may have very low probability, each time the coin is ipped there is a 50 50 chance of it landing on heads The result of a speci c coin ip event is independent of the result of the previous coin- ip event Compare this with 20 coins in a bag, 10 American coins and 10 British coins.

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