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Figure 21.4 Location update from D2 and destination search from S.
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common controls give programmers and designers a wide selection of user input and data presentation options. When the standard controls are not sufficient, Windows CE features such as owner draw buttons and the custom draw service provide ways to customize many of the more commonly used controls. But sometimes even these options are not flexible enough to implement applications whose user interfaces deviate significantly from the standard Windows CE look and feel. In such cases, application programmers may be compelled to write user interface components from scratch. A custom control is any control used in an application that is not part of the Window CE operating system.1
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CE. You can now write applications capable of taking advantage of the Windows CE file system and the registry. For more complex data storage needs, your applications can create their own custom databases. If you stopped reading at this point, you would be well equipped to solve most Windows CE application programming problems. You know all about persistent storage now, and Part I presented the most common application user interface components. You could therefore begin writing applications capable of storing user information and interacting with users. But most companies building Windows CE based software and hardware hope to attract customers with features such as nontraditional user interfaces and desktop connectivity. So, up to this point, you really only have half of the Windows CE story. In the next sections we discuss more advanced user interface programming techniques, as well as the area of desktop connectivity.
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Listing 15-3: Inserting the acquired data into the worksheet
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It can be shown that both the inverse element a of an element a and the identity e of the binary operation de ned over the group G r are unique.
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components typically used in behavioral interventions include: (a) goal setting and daily self-monitoring of eating and physical activity; (b) nutritional training aimed at the consumption of a balanced low-calorie diet suf cient to produce a weight loss of 0.5 kg per week; (c) increased physical activity through the development of a walking program and/or increased lifestyle activities; (d) arrangement of environmental cues and behavioral reinforcers to support changes in eating and exercise behaviors; (e) cognitive restructuring techniques to identify and change negative thoughts and feelings that interfere with weight-loss progress; and (f) training in problem solving or relapse prevention procedures to enhance coping with setbacks and obstacles to progress. More than 150 studies have examined the effects of behavioral treatment of obesity. Reviews of randomized trials conducted since 1985 (Jeffery et al., 2000; NHLBI, 1998; Perri & Fuller, 1995; Wadden, Sarwer, & Berkowitz, 1999) show consistent ndings. Behavioral treatments (typically delivered in 15 to 26 weekly group sessions) produce mean weight losses of approximately 8.5 kg and 9% reductions in body weight. Attrition rates are relatively low, averaging about 20% over six months. Negative side effects are uncommon, and participants typically report decreases in depressive symptoms. In addition, bene cial changes in blood pressure, glucose tolerance, and lipid pro les typically accompany weight reductions of the magnitude produced by behavioral treatment (NHLBI, 1998; Pi-Sunyer, 1999). Thus, lifestyle interventions are recommended as the rst-line of professional intervention in a stepped-care approach to the management of overweight and obesity (NHLBI, 1998). The long-term effectiveness of lifestyle interventions has remained an area of considerable concern. During the year following behavioral treatment, participants typically regain 30% to 40% of their lost weight (Jeffery et al., 2000; Wadden & Foster, 2000). Perri and Corsica (2002) summarized the results of behavioral treatment studies with follow-ups of two or more years and found a reliable pattern of gradual weight regain during the years following behavioral treatment. Nonetheless, the data show a mean weight loss of 1.8 kg from baseline to follow-ups conducted on average 4.3 years after treatment. Several considerations must be taken into account in evaluating the long-term results of weight-loss interventions. Findings of small net losses or a return to baseline weights at long-term follow-up need to be viewed in the context of what might have happened had the obese individual never entered treatment. Secular trends clearly show that the natural course of obesity in untreated adults entails steady weight gain (Shah, Hannan, & Jeffery, 1991). Hence, long-term ndings that show the maintenance of small amounts of weight loss
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