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The ratio of the packet to slot duration is r1 = 366/625 For three-slot packets, the ratio is r3 = (625 2 + 372)/(625 3) And for ve-slot packets, the ratio is r5 = (625 4 + 370)/(625 5) We consider two extreme cases: One is that all piconets are synchronized; the other is that all piconets are fully unsynchronized, that is, no two piconets are synchronized If some piconets happen to be synchronized, the PER and throughput will fall within the range of the aforementioned two extreme cases If piconets are synchronized, a packet of interest may be affected by one packet from each colocated piconet If piconets are unsynchronized, the packet of interest may be affected by one or two packets from each colocated piconet.

The seventh advantage of this methodology is that it is suitable for CMOS, RF CMOS, mixed signal CMOS (MS CMOS), bipolar, BiCMOS, and RF BiCMOS The RF BiCMOS is a super-set of elements; by removal of the bipolar-based networks, a CMOS-based ESD library exists that is compatible with its BiCMOS counterpart The design is suitable for a Bipolar technology by removing the CMOS library In the case of the hybrid O[1] p-cells, these elements require both the CMOS and bipolar design levels As a result, this strategy can save signi cant time and cost in the development of an RF CMOS technology; new manuals, new ESD design kits, design release or recharacterization are not necessary when the architecture of this strategy is such that the BiCMOS implementation serves as the ESD super-set of O[1] p-cells elements An eighth advantage is the RF-characterization methodology.

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The probabilities that there are one or two dangerous packets from a colocated piconet in the unsynchronized case are 2 2rk and 2rk 1, respectively [1], where k = 1, 3, 5 Assuming a transmission rate of 1 Mbps in each piconet, the average data throughput for each piconet is de ned as (1 PER)rk Mbps The throughput includes both original and retransmitted packets 75111 Packet Error Rate of SCT When multiple piconets coexist, with SCT a packet is successfully received only when no bit error occurs due to frequency collision or channel noise effect The PERs for n synchronized and fully unsynchronized piconets with SCT in AWGN channels are P s k; n 1 s n 1 bk a sct 0 n 1 bk a Pu k; n 1 2 2rk s0 2rk 1 s2 sct 0 7:4 7:5.

P(i) = 1

The composition of the United States is quickly becoming more demographically diverse, particularly in the number of people of color (e.g., Macera, Armstead, & Anderson, 2000). In addition, employment patterns among women have changed drastically since the 1950s. For example, the participation of U.S. women in the workforce has risen from 34% in 1950 to 60% in 1997 (Wagener et al., 1997). What implications does this social and economic diversity have for research in health psychology It offers new and unique opportunities to examine how sociodemographic characteristics, health, and behavior are interconnected and creates new challenges for the improvement of health. For example, we might examine how differences in diet related to acculturation impact the incidence of chronic illnesses, such as cardiovascular disease (CVD), among Hispanics who migrate to this country, compared to CVD rates in their country of origin. In some cases, this means reexamining how well-studied biobehavioral relationships that contribute to increased incidence of disease may operate differently in certain people who may be adversely affected or protected due to social or contextual forces. The National Institutes of Health (NIH) has responded to the growing research on sociodemographic factors that in uence health. In 1990, the Of ce for Research on Minority Health was created by the director of the NIH. The mission of

Such problems in some cases were solved using the approach based on the methods of properties change detection in signals and systems [1] However, the known algorithms are usually oriented to the detection of abrupt changes, and are not well suited for the detection of slow variations in characteristics In real situations, especially in biomedical applications, internal changes in the monitored object are usually quite slow, and the stable states of an organism usually overlap in many of their characteristics Besides that, transient states exist that simultaneously have characteristics of several stable ones In this situation, the methods of fuzzy clustering of time series are preferable because of the ability to nd parameters of the overlapping clusters or segments They are based on the widely used techniques of fuzzy cluster analysis [2 4].

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