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The scale is used to quantify the level of daytime sleepiness. Each of the eight situations listed below is scored from 0 to 3 for the likelihood of dozing, using the following scale: 0 1 2 3 No chance of dozing Slight chance of dozing Moderate chance of dozing High chance of dozing

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The components exchange the data directly in a peer-to-peer manner The components can have any data distribution, and the system has full support for the M N problem MOCCA [23]: The MOCCA project implements a layer for component cooperation that is compatible with the CCA speci cations and is based on the H2O framework H2O is a lightweight sharing resource framework similar with GLOBVS MOCCA framework enables interaction between components that live on the same host or different hosts, and between components written in different programming languages The application components are instantiated by a container component that also connects the components ports for communication The components exchange data through the connected ports in a peer-to-peer manner For components that live on the same host, MOCCA invokes port methods as local calls, and for remote components, it uses the remote method invocation mechanism of the underlying framework.

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A state s0 is reachable from a state s if and only if there is an execution path with s0 s and si s0 : For our doorway domain and example joint state-action table one execution path from the initial state is 0, 0, 0, 0, 1, 1, . . . Let EXEC (s, p) denote the execution paths starting at s. Let the length of a path p s0 s1 with respect to a set of states C be de ned by jpjC i 1 if si [ C and sj C for 0 otherwise: j,i (10:1)

Phylospaces [24]: The Phylospaces project uses the tuple space coordination abstraction to implement a parallel and cooperative version of a sequential heuristic algorithm for phylogeny reconstruction Phylogeny is an evolutionary tree that tries to relate the common ancestors of a set of organisms The algorithm proposed uses the divide and conquer technique to distribute the searching space across multiple searcher/workers The workers coordinate and communicate through the logically shared memory, that is, the tuple space The experimental evaluation of the system shows an order of magnitude improvement over existing sequential implementation of the algorithm SCIRun2 [11]: SCIRun2 project implements a combination between components and parallel remote method invocation It uses the modularization of CCA, and provides a framework for applications to run as components, and provides remote method invocation abstractions for component communication SCIRun2 framework introduces support for parallel components; that is, components that can run SPMD-type applications.

4. Compute f ( t , + A t s o ) . I f f ( t , A t s o ) < f (t,) ,take t , AtsD as new t,, and go to 1. Else, reduce step length A, compute the corresponding Atso, and repeat

11.5.2 Time-integrated coupling coef cients A second approach to this problem is to use the time-integrated solution to Eq. (4) as given below 0 ! t U(t ) t0 U(t) t 0 0 dt exp (31) a(t) a0 R(t ) exp Us Us t t 0 where a0 is the initial small-signal gain (i.e., at t 0). Using a similar Fourier decomposition to Eq. (26) the gain grating can be reexpressed as " # t 1 X 0 0 (s t0 =t ) in(Kt x ft ) 0 a(t) a0 R(t )e I n (jtj)e dt e (s t =t )

It allows data redistribution between parallel components through remote method invocation calls The parallel components can have different.

However, we avoid = 0 (for n = 0) to prevent X(x) = 0 for all x; and we consider only n {1, 2, 3, . . .} = N because sin( x) = sin x, and the minus sign can be absorbed into the constant b. Thus, in general X(x) = Xn (x) = bn sin n x L (12.25)

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from wxPython.wx import * class TreeFrame(wxFrame): def __init__(self): wxFrame.__init__(self, NULL, -1, Tree Demo ,size=(300,400)) # Make it a scrolled window so all data fits scroll = wxScrolledWindow(self,-1) self.tree = wxTreeCtrl(scroll) EVT_SIZE(scroll,self.OnSize)

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