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For these older adults, lack of knowledge can be a significant barrier to exercise adoption However, knowledge, low fitness, or health risk factors alone are insufficient to prompt exercise behavior Despite the documented benefits of cardiac rehabilitation in enhancing recovery and reducing mortality following a myocardial infarction, only about 33% of patients participate in such programs (Daly et al, 2002), and 50% of patients in these programs drop out within the first 6 months (Burke, Dunbar-Jacob, & Hill, 1997) Self-efficacy beliefs and intentions have received the most support as correlates of exercise and physical activity, and there is evidence that self-efficacy is both a predictor and outcome of exercise behavior (McAuley & Blissmer, 2000).

The Conditional Formatting feature is useful, but I d like to perform other types of operations when data is entered into a cell.

i But since i (u) = P Si = u, Y1 , i n i i (u) = P Si = u, Y1 P Yi+1 / Si = u, Y1 n = i (u)P Yi+1 /Si = u

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The lack of prospective population studies and clinical experiments that have controlled for physical activity history limits an interpretation of how much of the observed associations of physical activity with selfefficacy and intentions is causal and how much reflects a selection bias effect Currently active people or those with a history of activity who are recently inactive but resume activity during a prospective study may report high selfefficacy because of past success In addition, people with high self-efficacy may overreport actual physical activity, and people with low self-efficacy may underreport actual physical activity The experimental evidence that an increase in self-efficacy is accompanied by an increase in physical activity has been limited to heart and lung patients in whom a lack of confidence about physical exertion is typical due to medical limitations Only recently has an experimental increase in self-efficacy been confirmed as a.

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As implied by the term sensor network, the network stack is the primary application running on a sensor node. The actual application software may be simple and lightweight in comparison to the network stack. Of particular importance is the memory consumption of the network stack: while a typical sensor network packet might be only 32 bytes, 32 bytes is not that small compared to the total data memory available. Since memory is so limited and the network may be the primary memory consumer, it is important to de ne cross-layer interfaces that avoid copying buffers. It also may make sense to integrate network memory management closely with the operating system, to make maximum use of the data memory that is available. 6.3.6 Sensing