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11. CONCLUDING REMARKS Lysins are a new reagent to control bacterial pathogens, particularly those found on the human mucosal surface. For the rst time we may be able to speci cally kill pathogens on mucous membranes without affecting the surrounding normal ora, thus reducing a signi cant pathogen reservoir in the population. Since this capability has not been previously available, its acceptance may not be immediate. Nevertheless, like vaccines, we should be striving to developing methods to prevent rather than treat infection. Whenever there is a need to kill bacteria, and contact can be made with the organism, lysins may be freely utilized. Such enzymes will be of direct bene t in environments where antibiotic-resistant Gram-positive pathogens are a serious problem, such as hospitals, day-care centers, and nursing homes. The lysins isolated thus far are remarkably heat-stable (up to 60 C) and are relatively easy to produce in a puri ed state and in large quantities, making them amenable to these applications. The challenge for the future is to use this basic strategy and improve upon it, as was the case for secondand third-generation antibiotics. Protein engineering, domain swapping, and gene shuf ing all could lead to better lytic enzymes to control bacterial pathogens in a variety of environments. Since it is estimated that there are 1031 phages on Earth, the potential to identify new lytic enzymes as well as those that kill Gram-negative bacteria is enormous. Perhaps some day phage lytic enzymes will be an essential component in our armamentarium against pathogenic bacteria.

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Figure 6-3: When we focus on the puffin and allow the fish to be in soft focus, the puffin becomes unquestionably the most important element in this version.

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Figure 643 and Figure 644, we observe that the BPS throughput curves corresponding to Ph = lop3 are similar to shifted versions of those corresponding to Ph = lop2, which t t are shifted in thedirection of increasing SNRs On the other hand, the BPS throughput t curves corresponding to Ph = lop3 undulate more dramatically When the number of antennas is D = 3, the BPS throughput curves of the BU-RA channel exhibit a stair-case like shape The corresponding mode switching levels and mode selection probabilities are shown in Figure 645 Again, the switching levels heavily undulate The mode-selection probability curve of BPSK has a triangular shape, increasing linearly, as the average SNR 7 increases to hand, the mode25dB and decreasing linearly again as 7increases from 25dB.

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On the other selection probability curve of QPSK increases linearly and decreasesexponentially, since no 3-BPS mode is used This explains, why the BPS throughput curves increase in a near-linear fashion in the SNR range of 0 to 5dB and in a stair-case fashion beyond that point We can conclude that the stair-case like shape in the upper SNR range of SNR is a consequence of the absence of the 3-BPS, 5-BPS and 7-BPS modulation modes in the setof constituent modulation modes employed As wediscussed in Section 65 l 3, this problem may be mitigated by introducing power-efficient 8 QAM, 32 QAMand 128 QAM modes The average SNRs required achieving the target BEP of Pth = lop3 by the 2D-Rake assisted adaptive scheme and the fixed-mode schemes operating over wide-band fading channels are depictedin Figure 646.

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Figure 26-9

Since the fixed-mode schemes employing Rake receivers are already enjoying the diversity benefit of multi-path fading channels, the SNR advantages of our adaptive schemes areless than 8dB and 26dB over the W-ATM channel and over the BURA channel,respectively, even when a single antenna is employed This relatively small SNR gain incomparison to those observed over narrow-band fading channels in Figure 640 erodes.

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FIGURE 2-12

Before proceeding to the derivation of other similar stochastic-gradient algorithms, we find it instructive to describe how such algorithms are useful in the context of several applications, including channel estimation, linear equalization and decision-feedback equalization. These are the same applications that we studied before in Secs. 5.2, 5.4, 6.3 and 6.4, except that now we are going to solve them in an iterative (Le., adaptive) manner. We start with the problem of channel estimation.

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To change the default width of all columns, choose Home Cells Format Default Width. This command displays a dialog box into which you enter the new default column width. All columns that haven t been previously adjusted take on the new column width. n

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