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In Figure 2 we have depicted costs per life year gained as a function of the effectiveness of an infection control policy and attributable mortality.
In Figure 3 we have depicted the costs per life year gained as a function of this interaction (horizontal axis) and the rate of attributable mortality of MRSA as compared to MSSA (vertical axis).
Figure 1 displays the amount of life years and QALYs gained as a function of future time.
These results would imply a cost of US $23,892 per life-year saved (i.e., incremental cost-effectiveness ratio of US $23,892) in a health care perspective (range $20,557 $27,573) and US $18,044 in a societal perspective ($13,854 $22,779); both estimates were discounted at 3%. Figure 2 shows the cost per life-year gained as a function of the vaccine price per dose in a 20-year perspective.
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Figure 1a,b depict the system capacity gain as a function of the error probabilities p a and p b. Table 8 depicts the users and system capacity, for various error probability values, for the (i) uncoded case, (ii) the greedy scheme, and (iii) the semi-greedy scheme.
We find optimal phase-matching conditions and calculate the parametric gains as a function of pump intensity and interaction length.
To assess long-term learning gains as a function of time-on-task, we had the students interact with each system twice over a period of three weeks.
The 1310 nm Raman amplifier gain as a function of wavelength is presented showing the amplification bandwidth of about 14 16 nm.
In addition, we have also simulated optical and mode gain as a function of photonic energy and lasing wavelength in both TE and TM modes.
Carbon formation rate and carbon weight gain as a function of time at various temperatures and methane partial pressures were studied, and the kinetics of CMK-3 and DUT-19 as catalysts for methane decomposition were investigated.
There are mainly two contributions of this paper: design of observer and controller gains as a function of aerodynamic coefficient and airspeed of MAV and validation of robustness of control algorithm for parametric uncertainties, measurement noise and wind disturbance.
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