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Provides mean daily intake Procedure does not alter Method dependent on for energy and nutrients food intake patterns respondent s recall ability Repeated 24 hours required Literacy not required Participant recall may be intentionally selective to assess individual intake Expensive to administer; Number of repeat days will Short interview phone interviews can (e.g. 20 minutes), depend on nutrients of reduce cost compared with a interest for example 3 10 diet history days for total energy and macronutrient intakes Multiple recall days increases time and cost of analysis Cognitively demanding; Food Frequency Respondents report how often they Some FFQs can be scanned Relatively cheap to unsuitable for children electronically for analysis administer and Questionnaire (FFQ) have consumed foods from a set and elderly analyse list over a speci ed time- period for example 6 12 months Rapid method of Memory of food patterns in The best known FFQs The number of questions asked can Semi-quantitative assessment the past is required questionnaires are used are by Willet (Willett vary widely (e.g. 20 200) to provide nutritional et al., 1985) and intake data Block (Block et al., 1986) Quanti cation may be Can be semi-quantitative Suitable for largeinaccurate, due to scale studies reliance on standard investigating portions disease risk or prevalence Often self- administered Low respondent burden Accuracy of this method for providing nutritional data is unclear Computer based questionnaires Ranks individuals into available broad consumption categories

The point-to-point (PTP) domain, shown in Figure 8-1, uses destinations known as queues for sending and receiving messages. The producer sends messages to a queue and the consumer polls the queue for messages. The queue holds messages until a client consumes them or the messages expire. Because of

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Breakout box This is a device used to troubleshoot issues over a serial port. The breakout box is placed between two nodes (for instance, between a router and a CSU). The breakout box monitors the signals and uses LEDs to display information pertaining to the signals. Bit Error Rate Test (BERT) tester This device is used to generate a test pattern that the tester and a remote node can use to test the line for errors. Both the tester and the remote side can be set to the same pattern so that the integrity of the test is maintained. It s not absolutely necessary for you to have any of these tools, but considering the affordability of many of these, it sure makes sense to have them around. You might never use them,23 but they can prove extremely helpful when you are troubleshooting.

Summary

Figure 26-2: A word on a page, added as a keyword. The Keywords head item is created within the head section of the page and the metatag is written into the source code.

On the CD-ROM The drawings used in the following exercise on editing an xref in place, ab19-a.dwg and ab19-b.dwg, are in the Drawings folder on the CD-ROM.

Figure 15-28: The Tolerances tab of the New Dimension Style dialog box. Use the Tolerance Format section to specify how you want the tolerances to be displayed. You can choose one of four tolerance methods from the Method drop-down list: Symmetrical tolerances have the same upper and lower amounts and are shown with a plus/minus sign, as shown in Figure 15-29. The Upper Value text box is active so that you can type in the tolerance amount.

C:\>ipconfig / Windows 2000 IP Configuration Ethernet adapter Local Area Connection: USAGE: ipconfig [/ | /all | /release [adapter] | /renew [adapter] | /flushdns | /registerdns | /showclassid adapter | /setclassid adapter [classidtoset] ] adapter Full name or pattern with * and to match , * matches any character, matches one character.

Data characterization to extract or determine descriptors or indicators, for example, by generalizing, summarizing, or grouping Establishment of associative and explanatory rules Classi cation (supervised learning) of items or objects in classes according to a given probability Clustering of data items (unsupervised learning) in classes, after establishing class limits inductively from existing data sets Detection of similarities in time series Pattern recognition

Calculated loss 58.4%

of diabetes in 2005 will increase to 366 million by 2030. The number of deaths due to diabetes is forecast to double from 1.1 million in 2005 to 2.2 million by 2030. Most of those affected will live in developing countries, notably the Asian-Paci c region, where it will be very dif cult to meet the large nancial and social costs in icted by the disease. Cardiovascular disease. Obesity is now recognized as an independent risk factor for coronaryheart disease (CHD) and hypertension (see 12). CHD stands out as the leading single cause of death in the world (30% of all deaths) and is forecast by the WHO to remain so, with the estimated number of deaths rising from 17.5 million in 2005 to 23.3 million by 2030. Cancers. There is convincing evidence that excess body fat increases the risk for numerous malignancies, notably cancers of the colon, kidney, pancreas, endometrium, oesophagus, and breast cancer in post-menopausal women (see 13). Obesity has been held responsible for up to 72 000 additional cases of cancer within 15 European Union countries, and will undoubtedly contribute to increases in the prevalences of malignancies in many populations (Bergstrom et al., 2001).

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