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along with a special 'notification event handler', whose purpose is simply to wake up the reactor whenever a byte is sent to it via its connected writer handle When any application thread calls the reactor's methods for registering and removing event handlers, they update the demultiplexing table and then send a byte to the writer handle This wakes up the reactor's event loop thread and allows it to reconstruct its updated handle set before waiting on its synchronous event demultiplexer again Concurrent Event Handlers The Implementation section described a single-threaded reactive dispatching design in which event handlers borrow the thread of control of a reactor Event handlers can also run in their own thread of control This allows a reactor to demultiplex and dispatch new indication events concurrently with the processing of hook methods dispatched previously to its event handlers.

Those not interested in computational issues, computer software selection, or hands-on analysis may be inclined to skip this section It is arguably the least relevant section in this book for senior managers However, at least a skim read is advisable for all readers The simple controlled interval approach of Table 112 involves a systematic error associated with the discrete value approximation of a continuous variable distribution, as explained elsewhere (Cooper and Chapman, 1987, chap 3) To indicate the size (importance) of the error, note that the Figure 112 Ci curve assumes 15 is the absolute minimum, while exact integration indicates that 14 is the absolute minimum, with a probability of 005 of a value less than 15 The more intervals used to represent a distribution the smaller this systematic error becomes Even with only three intervals, this error is not signi cant for present purposes.

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is already covered by other cells in order to increase the bandwidth the most important task in a UMTS network is to decrease the transmission power of the neighboring cells. In GSM and UMTS radio networks alike it is necessary to properly define and manage the relationships between the neighboring cells. Incorrectly defined neighboring cells are not immediately visible but create difficulties for handovers (see Section 3.7.1) and cell reselections (see Section 3.7.2) of moving subscribers later on. Properly executed cell changes and handovers also improve the overall capacity of the system as they minimize interference of mobiles that stay in cells that are no longer suitable for them.

The Active Object (369), Leader/Followers (447), and Half-Sync/Half-Async (423) patterns can be used to implement concurrent concrete event handlers Concurrent Synchronous Event Demultiplexer The synchronous event demultiplexer described in the Implementation section is called serially by a reactor in a single thread of control However, other types of synchronous event demultiplexers, such as the WaitForMultiple Objects() function, can be called concurrently on the same handle set by multiple threads When it is possible to initiate an operation on one handle without the operation blocking, the concurrent synchronous event demultiplexer returns a handle to one of its calling threads This can then dispatch the appropriate hook method on the associated event handler Calling the synchronous event demultiplexer concurrently can improve application throughput, by allowing multiple threads to simultaneously demultiplex and dispatch events to their event handlers However, the reactor implementation can become much more complex and much less portable.

To overcome this error a Controlled Interval and Memory (CIM) approach has been developed, as explained elsewhere (Cooper and Chapman, 1987) This approach also overcomes the complications associated with operations other than addition Software developed to use this approach by BP International (Clark and Chapman, 1987) and K & H (PERK) has been used on a wide range of projects, but it is not currently available In its original forms it requires pairwise speci cation of a sequence for combining all distributions This can raise dif culties (eg, when irreducible networks are involved: see Soukhakian, 1988) It requires expert use to make effective use of the pairwise structuring and can be tedious to use if pairwise structures are not helpful As noted earlier, Monte Carlo simulation is the usual method employed to combine risks in standard risk analysis software packages like @Risk (eg, Grey, 1995).

Few studies have examined the structural or morphological correlates of NF1 Examination of gray and white matter volume in children with NF1 often indicates that they have larger volumes with T2-weighted hyperintensities, macrocephaly, and optic gliomas as compared to matched relatives (Billingsley, Schrimsher, Jackson, Slopis, & Moore, 2002; Greenwood et al, 2005) The greatest difference in white matter volume was in the frontal lobes while the greatest difference in gray matter volume was in the temporal, parietal, and occipital regions Although IQ was signi cantly related to gray matter volume in the control group, the same was not true of the children with NF1 (Greenwood et al, 2005) A previous study indicated that volume of gray matter, as well as corpus callosum size, was related to academic achievement (B Moore, 2000) Visual-spatial impairment and neuroanatomical abnormalities are considered hallmark features of NF1 (Billingsley et al.

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