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In the preceding step-by-step instructions, you re asked to add a value to a key in the HKCU hive. To be as safe as possible when doing this sort of thing, you could back up that hive into a file before making the changes. Then should your changes cause problems, you could restore the contents of that file into the registry, thereby wiping out whatever caused those problems to occur. Here s how: 1. Open the Registry Editor (Start Run, type regedit into the Open text field of the Run dialog box, and then click OK). 2. Right-click the hive key you want to back up (in this case that s HKEY_CURRENT_USER or HKCU). 3. Click the Export item in the resulting pop-up menu, as shown in the first sidebar figure.

models of human obesity and its associated metabolic disorders, notably insulin resistance and type 2 diabetes. Now that their underlying mechanisms have been elucidated, it is apparent that human counterparts of these syndromes do exist, but that they are extremely rare causes of obesity in humans and have no aetiological relationship to common human obesity (see 6). Nonetheless, unravelling the mysteries of genetic obesity syndromes such as the ob/ob and db/db mice has helped to broaden understanding of how energy balance is regulated at both central and peripheral levels in rodents, and has also provided some new insights into human energy homeostasis. Animal models have been developed that attempt to mimic common, lifestyle-related obesity in humans. When unselected rodents are presented with a varied and palatable diet, a variable proportion (usually about half) overeat and become obese (Figure 5.9). In some cases, this diet-induced obesity may be accompanied by features characteristic of the human metabolic syndrome, notably insulin resistance, dyslipidaemia and endothelial dysfunction (Elliott et al., 2004; see 10). It is not known why some

of the device to the input voltage, as if it had kept constant at the current value for an in nite time in the past. The second term accounts for the memory effects within the device due to the time evolution of the input voltage in the past; these effects are nonlinear, and require a Volterra-like formulation including higher-order nonlinear terms. Unlike the classical Volterra series formulation, the rst term in eq. (3.86) accounts for the largest part of the nonlinear response due to instantaneous nonlinearities, while the additional terms account only for the deviations due to memory. From another point of view, eq. (3.86) is equivalent to a Volterra series expansion in the neighbourhood of a bias point, which in this case is dynamic (the voltage v(t)). If the memory of the device is short enough, that is, if the dynamic impulse responses decay to zero in a time suf ciently shorter that the microwave period, the rst-order response dominates the term, and it is the only one to be retained: i(t) = FDC (v(t)) +

Fat is essentially anhydrous and the FFM contains a known proportion of water; it is therefore possible to estimate FFM if the total body water content is known, when fat mass can be calculated as the difference from body weight (Heyms eld, Wang and Withers, 1996). Total body water is conveniently measured by the isotope dilution method. The chosen tracer must mix rapidly with water in all body compartments and be metabolized and lost from the body in a constant proportion to unlabelled water (Schoeller and Jones, 1987); these assumptions are not universally applicable, but the technique is valid under most experimental conditions. Deuterium is usually the label of choice, being the cheapest and most easily obtained. The subject drinks a precisely weighed dose of deuterium oxide (D2O), usually diluted in water, and samples of body water (usually saliva or urine) are collected at intervals for 3 6 hours to measure the relative abundance of D2O and H2O. D2O concentration at steady state is then divided into the weight of the dose administered, to yield the TBW content. The method is amenable to use in

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Many organizations call this post-mortem. At other places, it is known as an incident report (IR) or failure analysis (FA). Every time a fire flares up, there is an analysis on what caused the fire, how many people were affected, whether anyone got burnt, whether you called 911 or the doctors, what was done to contain the fire (why the entire place go down), and whether it can happen again. How can a recurrence be prevented IT administrators spend a lot of time fixing problems. Some of these get too high up the chain. Then someone must document the entire event and explain that in meetings. Such a document must include facts in the suggested sequence: 1. Executive overview of the event This is a high-level statement of what happened and who was impacted. 2. Chronological sequence of events This includes who first observed the problem; who reported it and when; who was paged; vendors who