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Analytical techniques used in this study allows for the planning, predictability, and measurement of drug abuse treatment success as a function of service utilization.
In this section we investigate the expected profit at the optimum mean waiting time as a function of service capacity, that is, the optimal expected profit function (OEPF), which is denoted by Π*.
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The influx of cargo to southeast ports "is a function of servicing an industrial market and an expanding population base in the eastern part of the United States," said Jock O'Connell, an international trade economist with Beacon Economics.
Improved psychological outcomes may be a function of services that not only provide specific risk information, but also address patients' emotional needs by offering appropriate reassurance (Watson et al, 1998).
Furthermore, for aesthetics purposes and/or to prolong their expected or planned service life, they are painted designing each paint system as a function of the service conditions to which they will be subject to.
Based on regression analyses of existing test data, it is found that the normalized value of interfacial bond property at elevated temperatures should be a function of ΔT (service temperature subtracts glass transition temperature).
Figure 6a plots the D curves as a function of the service rate R. The D values, curving inwards, decay with the increase of R regardless of T values, nearly converging 0 for all flows.
We see a straightforward dependency: the upper bound on e is larger for larger service rate R; it is larger for smaller latency T. Figure 7 The upper bounds on buffer effective bandwidth (UBBEB) e (in Kb) of a sensor node: (a) e as a function of the service rate R (in Kbps) for T = 1; (b) e as a function of the latency T (in s) for R = 100.
We see a straightforward dependency: the upper bound on D is smaller for larger service rate R; it is smaller for smaller latency T. Figure 6 The upper bounds on buffer queue delay (UBBQD) D (in s) of a sensor node: (a) D as a function of the service rate R (in Kbps) for T = 1; (b) D as a function of the latency T (in s) for R = 100.
Qualitative consideration of rating differences as a function of the service sector (hospital vs community) and setting (large urban vs town/small city) revealed minimal differences for both women (difference of ±0.1) and men (difference ±0.3).
Rates of heavy drinking also varied as a function of military service branch, with those in the Army, Navy, and Marines being more likely to report frequent heavy drinking than those in the Air Force.
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