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The final anti-virus application I ll cover here is Czech-based ALWIL Software s avast! 4.0 Home Edition. The Home Edition is free for home or non-commercial users after a brief registration process. The only shortcomings from this process is that you must wait up to 30 minutes to receive the activation key via e-mail; once you do get it and install the program, another key feature that s missing is script-blocking, which can leave your system more vulnerable than other applications we ve reviewed here. Once you ve downloaded the software from the avast! Web page (about 7.5MB), the setup is as straightforward as the other applications discussed in this chapter, with the option to perform typical, minimal, and custom configurations. For this review, I installed the typical installation, which includes scanning for Internet and Outlook/Exchange e-mail, instant messaging, P2P shield, the standard shield, and application skins. During installation, you re given the option of performing a boot-time scan once you restart your computer; I opted to skip this step. Finally, note that you must register the product within 60 days to continue its use. Once I rebooted the system, a virus was automatically detected (see Figure 8-13) and a notification screen popped up immediately, along with a blaring siren and an audible warning of its presence. You can move or rename, delete, or repair the file, or move the file to the chest. From there, you can also stop or continue the memory scan. Application configuration options are managed through the avast! Simple User Interface (see Figure 8-14), which you really have to explore yourself to find how to properly configure it, so it s not as simple as you might like.

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The topic is complicated by the great variety of information that may be known about the statistical structure of the function [problem] At the same time, people are usually seeing a quick uncritical solution to a problem that can be treated only with considerable thought To offer them even a hint of a panacea is to permit them to draw with that famous straw rmly grasped Thus, we reserve positive recommendations for subsequent chapters, which deal with more speci c computational and statistical problems 241 Bugs, Errors, and Annoyances Any computer program of reasonable complexity is sure to have some programming errors, and there is always some possibility that these errors will affect results More formally, we de ne bugs to be mistakes in the implementation of an algorithm failure to instruct the computer to perform the operations as speci ed by a particular algorithm.

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There are two types of viewports tiled and floating. For more information on floating viewports, see the Floating Viewports sidebar in this chapter. For a detailed discussion, turn to 17.

on the current leg of the passage, monitor him loosely, but start looking for the next object. If you re looking for an object a tower, say then identify it in good time, using your hand-bearing compass and binoculars if necessary.

No statistical software is known to work properly with certainty In limited circumstances it is theoretically possible to prove software correct, but to our knowledge no statistical software package has been proven correct using formal methods Until recently, in fact, such formal methods were widely viewed by practitioners as being completely impractical (Clarke et al 1996), and despite increasing use in secure and safety critical environments, usage remains costly and restrictive In practice, statistical software will be tested but not proven correct As Dahl et al (1972) write: Program testing can be used to show the presence of bugs, but never to show their absence As we saw in 1, bugs are a recurring phenomenon in scienti c applications, and as we will see in 3, serious bugs are discovered with regularity in statistical packages.

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Glucocorticoids commonly cause weight gain, especially with long-term administration of high dosages. Weight gain is due mainly to increased fat mass, together with sodium and water retention from mineralocorticoid actions. Increased adiposity is multifactorial. Appetite is increased, especially at high dosages, possibly due to inhibition of the anorexigenic CRF neurones in the paraventricular nucleus of the hypothalamus; stimulation of the orexigenic NPY neurones in the hypothalamic arcuate nucleus may also contribute (see 6). In addition, the expression of uncoupling proteins in various tissues is decreased, thus potentially reducing energy expenditure. Finally, glucocorticoids act in visceral fat depots to stimulate the differentiation of preadipocytes into mature adipocytes, thus favouring the selective expansion of visceral fat and leading to the characteristic central obesity.

In addition, evidence suggests that even experienced programmers are apt to create bugs and to be overcon dent of the correctness of their results Bugs in mathematically oriented programs may be particularly dif cult to detect, since incorrect code may still return plausible results rather than causing a total failure of the program For example, in a 1987 experiment by Brown and Gould [following a survey by Creeth (1985)], experienced spreadsheet programmers were given standardized tasks and allowed to check their results Although the programmers were quite con dent of their program correctness, nearly half of the results were wrong In dozens of subsequent independent experiments and audits, it was not uncommon to nd more than half of the spreadsheets reviewed to be in error (Panko 1998) Although we suspect that statistical programs have a much lower error rate, the example illustrates that caution is warranted.

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