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In addition to documenting stand-alone patterns, we expect to see continued codification of patterns into full-fledged pattern languages. We also expect to see existing stand-alone patterns [GoF95] [POSA1] and compound patterns [Vlis98c] integrated into current or new pattern languages, as discussed in Section 6.2, A Pattern Language for Middleware and Applications. Conversely, as more experience is gained implementing larger architectural patterns, such as Reactor (179) and Proactor (215), we expect that smaller patterns, such as 'Event Demultiplexor' or 'Continuation-passing Event-driven System', will emerge. These patterns can help to improve the concrete realization of the larger architectural patterns by 'decomposing' them into smaller patterns. This decomposition process is yet another way to define pattern languages for the types of systems that follow the structure defined by architectural patterns that are being decomposed. The trend towards pattern languages stems from the confluence of two forces: As more patterns are documented, the coverage of patterns in certain domains is gradually becoming more complete. As the patterns in a domain become complete it is more likely that other patterns in these domains can build upon or expose relationships to existing patterns [Ris00a]. This synergism occurs because as new patterns are documented in a domain they often address issues or sub-problems related to existing patterns' problems. As these relationships become explicit, many patterns in a domain can be connected to form pattern languages.

Fastenau, 241, 244 Fawcett, 20, 23 Feagans, 517 Fearon, 309 Feeley, 392, 393 Feng, 340 Fennell, 4, 9 Fenske, 336 Fernell, 100 Ferraro, 360, 366 Fey, 63, 392, 393] Fiala, 26 Fidler, 391, 392, 393, 397, 524 Fido, 340 Fiedler, 336 Fiez, 97 Filipek, 106 Fine, C., 105 Fine, J. G., 20 Finucane, 394 Fiorello, 12, 51, 518 Fisch, 394, 395, 396, 409, 435, 437 Fischer, 210 Fisher, R. S., 237, 238, 239 Fisher, S. E., 17, 18 Fishler, 497 Flanagan, 25, 41, 52 Fletcher, 15, 42, 46, 65, 181, 189, 191, 519, 520 Fletcher-Janzen, 25, 517 Flowers, 22, 43 Floyd, 63, 518 Flynn, 17 Folstein, 92 Fombonne, 89, 90 Ford, 90 Foster, D. W., 477 Foster, L. M., 21 Fowler, 244, 276 Francis, D. J., 15, 24 Francis, R. B., Jr., 275 Franco, 391 Franzen, 192 Frassetto, 364 Fredericksen, 149 Freeman, J. M., 238, 247, 249

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Separability of product Ease of outsource Integral architecture Vertical integration Modular architecture

(2.9)

Possible Situation The employee is overpaid but the physical check has not been cashed. The direct deposit has not been processed and can be recalled. Suggested Solution The employee should return the check to the payroll department. The check is then voided and a check for the correct amount is issued. This should be done at once. Time is of the essence when handling direct deposits. The correct payroll check could be given to the employee as a paper check. Or, if possible, the correct payroll check could be wired into the employee s bank account. If this occurs, the payroll department can recoup the money in three ways: 1. Deduct the entire overpayment from the next payroll check. 2. Have a set amount deducted from the next certain number of payroll checks. 3. Have the employee return just the overpayment amount via a personal check.

CustomerID Returns the User ID number of the person to whom the software is registered. Cyan Specifies color Cyan (numeric value = 3) for plots and backgrounds. D Returns the closing date of the bar referenced. (Abbreviation for Date). DailyLimit Number of stocks/contracts allowed traded in 1 day. DarkBlue Specifies color Dark Blue (numeric value = 9) for plots and backgrounds. DarkBrown Specifies color Dark Brown (numeric value = 14) for plots and backgrounds. DarkCyan Specifies color Dark Cyan (numeric value = 10) for plots and backgrounds. DarkGray Specifies color Dark Gray (numeric value = 15) for plots and backgrounds. DarkGreen Specifies color Dark Green (numeric value = 11) for plots and backgrounds. DarkMagenta Specifies color Dark Magenta (numeric value = 12) for plots and backgrounds. DarkRed Specifies color Dark Red (numeric value = 13) for plots and backgrounds. DataN Used to reference information from a specified data stream.

Table 3.2 Spreading and scrambling in the uplink and downlink directions Downlink Spreading Addressing of different users Controls the individual data rate for each user Ensures consistent spectral distribution Used by the mobile terminal to differentiate base stations Uplink Controls the individual data rate for each user Ensures consistent spectral distribution Differentiates users Removes the need for a timing advance by preserving orthogonal nature of the codes Necessary for soft handover

Tiu, R D, Jr, Wadsworth, S J, Olson, R K, & DeFries, J C (2004) Causal models of reading disability: A twin study Twin Research, 7, 275 283 Tomaiuolo, F, Di Paola, M, Caravale, B, Vicari, S, Petrides, M, & Caltagirone, C (2002) Morphology and morphometry of the corpus callosum in Williams syndrome: A TI-weighted MRI study NeuroReport, 13, 2281 2284 Tomasino, B, Fink, G R, Sparing, R, Dafotakis, M, & Weiss, P H (2008) Action verbs and the primary motor cortex: A comparative TMS study of silent reading, frequency judgments, and motor imagery Neuropsychologia, 46, 1915 1926 Tomberg, T, Toomela, A, Pulver, A, & Tikk, A (2005) Coping strategies, social support, life orientation and health-related quality of life following traumatic brain injury Brain Injury, 19, 1181 1190 Tomblin, J B, Records, N.

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