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head-to-head with these two publicly chartered institutions. If Congress takes away the public privileges of these two institutions, more private-sector rms would enter this portion of the home mortgage market. By contrast, there is not much of a private mortgage market for lowincome homes. The purchasers of these homes do not usually qualify for prime mortgages. When HUD told Fannie Mae and Freddie Mac to buy a certain quota of mortgages from purchasers of such homes, the two institutions generated a huge demand for high-yield, subprime mortgages. The response was predictable: Lenders frenetically originated subprime mortgages with high default rates to feed the two mortgage giants. If Congress decides to allocate more capital at lower prices to families that would qualify only for subprime mortgages, it should provide them with interest subsidies or other forms of nancial assistance from a federal agency. Then, all the government subsidy would go directly to the low-income families meeting the legislative criteria. This would be a much more ef cient and targeted approach than providing governmental privileges to Fannie Mae and Freddie Mac and asking them to meet quotas on purchasing home mortgages for low-income families.

Figure 4.5 M-ary data mapping schemes. (a) M-ary PPM; (b) M-ary PAM; (c) biorthogonal signaling; (d) multilevel PSM.

The container treats such a servlet as if it had redefined all its methods as synchronized. The usual way, though, is simply to apply mutex locks (Java synchronization) to just those small code fragments that actually involve use of the instance data (or class data):

Figure 3.10 Feedback rate at which the laser becomes unstable, versus the cavity round-trip time, , normalized to the relaxation oscillation period. The laser is stable for low feedback and becomes unstable upon increasing . The stability boundary depends periodically on . Source: Reproduced from: W.A. van der Graaf, L. Pesquera, and D. Lenstra, Stability and noise properties of diode lasers with phase conjugate feedback, IEEE J. Quant. Electron., 37, 562 573 (2001), with permission from IEEE 2001.

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Charging provides a good example for illustrating the difference in emphasis between UMTS and Computer Networks. In UMTS, charging is a central topic. Two charging architectures are de ned, one for online charging and one for of ine charging. These charging architectures introduce a number of new network elements. As usual, the architectures are agreed rst and the protocols are designed as the nal step. For Computer Networks, by contrast, a standardized solution for charging scarcely exists. In fact, commercial WLANs normally employ proprietary solutions. Note that this is possible because charging functionality can be added to a WLAN in a modular fashion, whereas, of course, charging is an integral part of a UMTS Network. The IETF de nes a high-level charging architecture. It focuses mainly, however, on the collection of Metering Data. For metering a number of different solutions are described, and a variety of protocols can be employed. The data thus collected can be used for charging, but the details are not speci ed. Along the same lines, the accounting entity is not a dedicated network element but is integrated conceptually

Often, customers misinterpret the flashing lights as error conditions, when they are only indicating network activity.

and (n r , n s , n b ) = (n r , n b |n s ) (n s ). (4.64)

Hedge funds have grown dramatically: from less than $250 billion in assets in 1995 to $1.8 trillion at the end of 2007, as shown by Figure 5.3. Similarly, the number of hedge funds rose from around 2,000 in 1995 to almost 8,000 in 2007.24 This phenomenal growth was driven in part by the burst of the dot com bubble in 2000 2002, when stock prices fell by one-third and hedge-fund performance was generally still in the positive territory. In part, this growth was driven by the greed of managers

Arbitrary actions can be performed while staying in nodes, including accessing and changing physical world parameters for PW-related nodes, updating the node and (passed) link contents, removing the nodes together with all adjacent links, as well as creating new nodes and links. Local results obtained in nodes may be left there and shared with other waves entering these nodes. Other data can navigate with waves further, as their sole property, supplying subsequent navigation stages (and the nodes reached) with the results obtained in the previous stages. The data staying in nodes or moving with waves may represent information, physical matter, or any combination thereof.

14.4 LMDS (Local Multipoint Distribution Service)

1 0.9 0.8 0.7 0.6 ecdf down (n < 100)

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