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In Fig. 9.4 we can see the two cases that are provided showing the DSPS sets and subrate CTAs. With the example of case 2, the CTA occurs every fourth wake beacon. This number is obtained by dividing the CTA rate factor by the wake beacon interval. The wake beacon interval should never be less than the CTA rate factor. If this happens, it indicates that the CTA would occur more often than the DEV was actually listening. When the PNC grants the DSPS CTRq, it will allocate CTAs in the wake beacons of the DSPS sets. The only case that this is not true is when there is not enough channel time left for the allocation. If there is not enough channel time for the PNC to assign the times, it will continue trying to allocate the channel time, cancel the data stream, or set the CWB bits so the source and destination DEVIDs are both in the awake so the PNC can see if the CTA can be assigned. This method works for getting the channel time assigned, although it wastes energy and battery life.

Improving the Interpretability of TSK Fuzzy Models by Combining Global and Local Learning, IEEE Trans Fuzzy Syst, Vol 6, pp 530 537 Zadeh L A (1975) The Concept of a Linguistic Variable and Its Application to Approximate Reasoning: Parts I, II, and III, Information Sciences, Vol 8, pp 199 249, 301 357; vol 9, pp 43 80..

Summary

The pressure of water vapor will be constant in the closed space around the material. This pressure is lower or equal to vapor pressure above pure water at the same temperature. The numerical expression of this is the water activity (aw): a w = water pressure above the material water pressure above the pure water Microorganisms cannot grow below their speci c aw (Table 11.1.) (IFT/FDA 2003; Leistner and R del 1976; Mossel 1971).

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participants and those PST subjects only infrequently using the problem-solving skills. Summary Overall, research has amply demonstrated that a variety of psychosocial interventions are effective in reducing speci c cancer-related physical (e.g., pain, nausea, and vomiting) and emotional (e.g., depression, anxiety) symptoms, as well as enhancing the overall quality of life of cancer patients. Such treatment programs include educational interventions, a wide array of cognitive-behavioral interventions, and group psychotherapy protocols. Using the telephone to increase accessibility to such programs has also begun to show promise. Among these various approaches, CBT interventions have been more often the focus of empirical investigations, and thus, have tended to emerge as the more effective and versatile overall therapeutic model. In addition to improving cancer patients emotional wellbeing, data suggests that psychosocial interventions can also lead to improved survival by affecting the course of the cancer itself. One biological pathway that has been identi ed as a potential mechanism by which this can occur is the immune system. However, additional studies have noted a lack of an affect on survival rates as a function of participating in psychosocial treatment. Moreover, the literature providing evidence to support a link between behavioral variables and health outcome as mediated by the immune system is only in its infancy with regard to cancer. Therefore, substantial additional research is necessary before the nature of these relationships can be clearly elucidated. Psychosocial interventions have also been developed for at-risk groups (e.g., rst-degree relative of women with breast cancer) or people engaging in risky cancerengendering behaviors (e.g., excessive sun exposure) as a means of reducing risk and preventing cancer.

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