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In many studies, BMI has been strongly and independently associated with coronary-heart disease (CHD) and acute coronary syndrome, de ned as unstable angina or acute myocardial infarction. In addition, the risk of developing CHD associated with obesity is substantially increased by other coexistent atherosclerotic risk factors, notably hypertension, smoking, type 2 diabetes and dyslipidaemia. Accordingly, the American Heart Association and American College of Cardiology guidelines for secondary prevention in CHD have identi ed obesity as a major modi able cardiovascular risk factor (Smith et al., 2001). This historic view is now being reappraised, with attention again focusing on the role of visceral adiposity. One of the earliest epidemiological surveys to examine the in uence of body weight on the development of cardiovascular disease was the Framingham Heart Study (Hubert, Feinleib, McNamara, 1983; Wilson et al., 2002). Relationships between categories of BMI, cardiovascular disease risk factors and vascular disease end-points were examined in a population of American men aged 35 to 75 years, who were followed for up to 44 years. This, and other prospective studies with follow up data from over 20 years (such as the Manitoba Study, and the Harvard School of Public Health Nurses Study), found that obesity is an independent predictor of clinical CHD (Rabkin, Mathewson and Hsu, 1977; Kaplan et al., 2002). In addition, excess adiposity, as measured by BMI, was associated with an increased risk of recurrent coronary events following acute myocardial infarction, in a large cohort of subjects who had survived a rst infarct; risk was particularly high with BMI 30 kg/m2 (Rea et al., 2001). The Prevention of Events with Angiotensin Converting Enzyme-Inhibition (PEACE) Trial showed that in the presence of established CHD, obesity is associated with risk for major cardiovascular events in men, although not in women

path P s i, j, k, , l, m, a metric d P is additi e if d P s d i, j q d j, k q qd l, m, multiplicati e if d P s d i, j d j, k d l, m, and conca e if d P s min d i, j , d j, k , , d l, m4 For example, metrics such as delay, delay jitter, and hop count are additive, reliability and indirectly packet loss probability is multiplicative, and bandwidth is concave As mentioned above, finding an optimal path subject to constraints on two or more additive andror multiplicative metrics in any possible combination is NP-complete As a result, any algorithm that selects any two or more of delay, delay jitter, hop count, and loss probability as metrics and tries to optimize them simultaneously is NP-complete.

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11.8.6. ASTM E648-99 (NFPA 253) Standard Test Method for Critical Radiant Flux of Floor- Covering Systems Using a Radiant Heat Energy Source [73]

The only computationally feasible combinations of metrics are bandwidth and any of the above However, the proof of NP-completeness is based on the assumptions that 1 all the metrics are independent and 2 the delay and delay jitter of a link are known a priori Although such assumptions may be true in circuit-switched networks, metrics such as bandwidth, delay, and delay jitter are not independent in packet-switched networks As a result, polynomial algorithms for optimizing delay and delay jitter exist w14x Nevertheless, the work in w6x still serves as an indication of the complexity of a path selection algorithm: a path selection algorithm is still complex in data networks, even if it is no longer NP-complete Fortunately, simple algorithms for optimizing bandwidth and hop count metrics exist These are the most useful metrics With them, QoS routing is computationally feasible w14x has proposed the following three QoS-based routing schemes: 1.

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bounded variance Several features of the MCMC process help this result First, sampling truly does occur from an in nite population, even if this population exists only in the theoretical sense Second, it is relatively easy to verify that the posterior distribution of interest does not have unbounded variance, even if there is an improper prior Third, because of the Markovian property, the relatively weak condition should be met in all but the worst circumstances, and even in those it is easy to assess serial correlations with graphical and analytical summaries (WinBUGS makes this very easy) So the net result of this section is that the long periodicity of high-quality generators does not generally affect the quality of MCMC output There are two caveats, however.

A scheme that chooses the widest shortest path, ie, a path with the minimum number of hops If there are several such paths, the one with the maximum residual reservable bandwidth is chosen 2 A scheme that chooses the shortest widest path, ie, a path with the maximum residual reservable bandwidth If there are several such paths, the one with the minimum number of hops is chosen 3 A scheme that chooses the shortest distance path The distance of a k-hop path P is defined as dist P s where ri is the bandwidth of link i The first scheme is basically the same as today s dynamic routing It tries to preserve network resources by choosing the minimum-hop paths The hop count of a path is important because the more hops a flow traverses, the.

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. Periodical CPICH Ec =N0 measures: cell change is initiated if the CPICH Ec =N0 of the current serving HS-DSCH cell is lower than the actual CPICH Ec =N0 value of the best cell in the active set minus a threshold for the operator to set.

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