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Crecelius (1987) Contaminant concentrations and toxicity of sea-surface microlayer near Los Angeles, California Marine Environmental Research, 23, 307 323..

It is easy to see that for a patent portfolio consisting of a single patent, pj L and the value of the patent is equal to the value of the portfolio. In the case of a portfolio consisting of no concurrent patents 1/n and the expression (32) reverts to (14), as of equal value, pj/L expected. The present value of a patent is given by the expression 34. PV P j pj L

As this is also fast memory there are limits to how much of such memory is reasonable to have in a terminal The fact that retransmissions are handled by the base station makes the whole solution feasible from the terminal point of view With retransmission handling from the RNC there would be too much delay and soft combining with large data rates would simply have required too much memory Non-identical retransmissions or so-called incremental redundancy uses a di erent rate matching between retransmissions The relative number of parity bits to systematic bits varies between retransmissions This solution requires more memory in the receiver and has been accommodated in user equipment (UE) capabilities The terminal with identical parameters but larger soft memory capability can otherwise manage with incremental redundancy even at the maximum data rate The principle is illustrated in Figure 48.

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Trans IEEE Vol AP-53, June 2005, p 2132 Hansen, RC and Burke, M Antennas with Magneto-Dielectrics Microwave Optical Tech Lett Vol 26, 20 July 2000, pp 75 78 Hansen, RC and Ridgley, R Modes of the Contrawound Toroidal Helix Antenna Microwave Optical Tech Lett Vol 23, 20 Dec 1999, pp 365 368 Hansen, RC and Ridgley, RD Fields of the Contrawound Toroidal Helix Antenna Trans IEEE Vol AP-49, Aug 2001, pp 1138 1141 Harrington, RF Field Computation by Moment Methods Macmillan, 1968, pp 10 81 Harrington, RF Effect of Antenna Size on Gain, Bandwidth, and Ef ciency J Res NBS Vol 64D, Jan Feb 1960, pp 1 12 Harrison, CW Monopole with Inductive Loading Trans IEEE Vol AP-11, July 1963, pp 394 400 Harrison, CW and King, RWP Folded Dipoles and Loops Trans IRE Vol AP-9, March 1961, pp.

Figure 5.2 shows price/yield relationships implied by modified duration for two of the three Treasury securities. While the slope of Treasury bill s modified duration function is relatively flat, the slope of Treasury STRIPS is relatively steep. An equal change in yield for the Treasury bill and Treasury STRIPS will suggest very different changes in price. The price of a Treasury STRIPS will change by more, because the STRIPS has a greater modified duration. The STRIPS has greater price sensitivity for a given change in yield. If modified duration is of limited value, how can we better approximate a security s price Or, to put it differently, how can we better approximate the price/yield property of a fixed income security as implied by the present value formula With convexity (the curvature of a price/yield relationship for a bond). To solve for convexity, we could go a step further with either the Hicks or the Macaulay methodology. Using the Hicks method, we would solve for the second derivative of the price/yield equation with respect to yield using a Taylor series expansion. This is expressed mathematically as (d2P /dY2)P , where P is the dirty price. To express this in yet another way, we proceed using Macaulay s methodology and solve for

TABLE 6-1. Drying pools for foraging wading birds and waterfowl. Mean duration (days) and number of times (in parentheses) that inundated topographic depressions (drying pools) adjacent the Fort Kissimmee gauging station were isolated during wet (June September) and dry (November April) seasons of historic (prechannelization) and simulated (restored ood pulse) periods of record. Data are based on daily stages and topography of 13.2 km2 of oodplain adjacent the gauging station. Duration (and Number) of Periods Isolated Number of Depressions 2 1 25 17 2 Mean Area (ha) 0.01 0.26 0.22 0.55 0.43 Historic (1942 60) Wet 9.5(4) 17.0(7) 19.0(7) 22.8(6) 23.3(8) Dry 9.9(7) 16.2(9) 20.3(14) 22.1(19) 37.1(21) Simulated (1970 95) Wet 19.2(5) 25.4(8) 16.1(16) 19.4(19) 34.5(20) Dry 18.5(14) 22.7(17) 16.0(31) 14.1(12) 25.9(23)

The rate matching function is varied between di erent retransmissions and in the actual implementation channel encoding can be done for each transmission or the data can then be kept in the virtual bu er (as shown in Figure 46)..

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