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Monte Carlo simulation is based on sampling For example, to add the probability distributions for items A and B of Table 111 assuming independence to de ne Ci , we start by taking a sample from the distribution for A The mechanics of this sample reduce to using a pseudorandom number generator to obtain a random number in the range 0 1, using this sampled value to reference the probability scale of a cumulative distribution for item A like that of Figure 112 and reading off the corresponding cost (eg, a generated random number value of 01 would yield a sample cost of 8) Assuming the random numbers are uniformly distributed over the range 0 1, this can be shown to result in costs sampled from the assumed distribution for Ca .

For example, it may be necessary to perform a reference count of the dispatching of event handler hook methods It may also be necessary to queue calls to the reactor's methods for registering and removing event handlers, by using the Command pattern [GoF95] to defer changes until no threads are dispatching hook methods on an event handler Applications may also become more complex if concrete event handlers must be made thread-safe Re-entrant Reactors In general, concrete event handlers just react when called by a reactor and do not invoke the reactor's event loop themselves However, certain situations may require concrete event handlers to retrieve specific events by invoking a reactor's handle_events() method to run its event loop For example, the CORBA asynchronous method invocation (AMI) feature [ARSK00] requires an ORB Core to support nested work_pending()/perform_work() ORB event loops.

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A similar sample for item B can be added to de ne a sample for Ca Cb Ci Repeating this procedure a hundred times results in a frequency distribution for Ci that approximates the true integration with suf cient accuracy for most purposes However, the 005 probability error noted in relation to Figure 113 could require 1,000 samples or more to estimate with reasonable precision, a similar number being required for a resulting curve that is smooth, without visible sampling error Using 10,000 samples gives the same level of precision as.

, 2004; Billingsley, Slopis, Swank, Jackson, & Moore, 2003) Neuroimaging studies have investigated the neural network of visual-spatial processing in NF1 (Clements-Stephens, Rimrodt, Gaur, & Cutting, 2008) Results with normative samples indicate a right-hemisphere network of activation including inferior parietal lobe, dorsolateral prefrontal cortex, and extrastriate regions In contrast, individuals with NF1 tended to activate left-hemisphere regions, possibly as a result of an inef cient right-hemisphere network Notably, the NF1 group evidenced decreased activation of the primary visual cortex (Clements-Stephens et al, 2008) Further, individuals with NF1 who showed expected gyral patterns in the right hemisphere performed worse across language measures than those showing an extra (ie, anomalous) gyrus In particular, a doubling of Heschl s gyrus in the left and right hemispheres was signi cantly associated with performance on several neuropsychological measures (Billingsley, Slopis et al, 2003).

If the ORB Core uses the Reactor pattern [SC99], therefore, its reactor implementation must be re-entrant A common strategy for making a reactor re-entrant is to copy the handle set state information residing in its demultiplexing table to the run-time stack before calling the synchronous event demultiplexer This strategy ensures that any changes to the handle set will be local to that particular nesting level of the reactor Integrated Demultiplexing of Timer and I/O Events The reactor described in the Implementation section focuses primarily on demultiplexing and dispatching features necessary to support our logging server example It therefore only demultiplexes indication events on handle sets A more general reactor implementation can integrate the demultiplexing of timer events and I/O events..

// We determine the maximal number of tokens R(p*) that can be // removed from the place p* without modifying the average cycle time

Also based on magnetic resonance imaging (MRI) study, the left planum temporale in boys with NF1 was signi cantly smaller in both surface area and gray matter volume as compared to that in girls with NF1 and controls Boys with NF1 also showed greater symmetry between the left and right hemispheres in this region compared with girls with NF1 and controls As has been found with the dyslexia research (see 2), decreased leftward asymmetry of the planum was associated with poorer reading and math achievement in children with NF1 (Billingsley et al, 2002) Differential use of inferior and dorsolateral prefrontal cortical areas relative to NF1 was revealed during phonologic (rhyme) tasks, with increased signal change in the right superior temporal gyrus noted (Billingsley, Jackson et al, 2003).

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