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See Kaikkonen, A., Kek l inen, A., Cankar, M., Kallio, T., and Kankainen, A., 2005. Usability Testing of Mobile Applications: A Comparison between Laboratory and Field Testing. Journal of Usability Studies, 1 (1), 4 17.
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MAXILLARY Please: 1. Debubble the cast(s) and block out (1) deep grooves on and between the teeth, and (2) all undercuts, with the exception of no blockout in the buccal embrasures of the posterior teeth. After mounting casts, adjust the incisal pin so the appliance s minimum occlusal thickness is 3 mm. 2. Extend the anges so that (1) the facial extent is carried 2 mm below the interproximal contact for the anterior and posterior teeth, and (2) the lingual portion extends __ mm (5 mm for maxillary and 10 mm for mandibular) from the gingival margin, keeping it short of the vestibule and tori. 3. Fabricate the occlusal surface so the surface is at without cuspal indentations, the nonsupporting posterior cusps are not in contact, the protrusive and canine guidances provide minimal posterior disocclusion (1/2 1 mm), and the occlusal line angles are rounded. Please make the facial ange so it is 1 mm thick and ows with the contours of the teeth and make the lingual ange so it is only 1 mm thick. Thank you.
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 Speci city: This is an assessment of how well the model is able to predict false values and the formula is: Specificity Count00 Count10 Count00
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languages. Further, communication middleware and protocols need to be extended to support transactional semantics. Architectures such as transaction processing monitors (a.k.a. TP Monitors) have emerged as transaction processing middleware that ll the gap between operating system services and the requirements of reliable, scalable, distributed computing. The goal of a transaction processing middleware, in general, is to make it easier for the programmer to write and deploy reliable, scalable transactional applications. Rather than interacting directly with transactional resources and transaction management functions, application programs are built around a middleware that mediates access to these shared resources. Such middleware provides abstractions that are more closely aligned with business objectives, allowing the programmer to focus on business logic instead of lowlevel transaction management. This chapter takes a middleware view of transaction processing. In particular, we look at how transactions are supported in object-oriented middleware, message-oriented middleware, and (Web) service-oriented middleware. We begin in Section 3.2 by reviewing some fundamentals on which middleware for transactions have been built. Our coverage starts by de ning ACID transactions, their properties, and some of the techniques used to support them. We then show how distributed transactions extend this model to support the ACID properties in a distributed setting. Following this, we describe some commonly employed variations of the ACID model that overcome some of its shortcomings. And nally, we elaborate on some of the programming models used for transaction processing. Building on our discussion of the distributed transaction model, we present distributed object transactions as supported by object-oriented middleware, transactional messaging as supported by message-oriented middleware, and Web transactions as supported by the Web services platform, in Sections 3.4, 3.5, and 3.6, respectively. We rst examine transactions in the context of CORBA OTS and Enterprise JavaBeans. We then describe messaging concepts and queued transaction processing as an important architectural pattern. Finally, we present emerging open standards addressing distributed transactions and reliable messaging for Web services. In Section 3.6, we introduce three research projects that describe advanced transaction middleware. The Long Running Unit of Work (LRUOW) framework de nes a transaction model to support long-running business transactions for J2EE/EJB environments. Dependency Spheres (D-Spheres) is a middleware to support transactional applications that are built across both traditional object-oriented middleware and message-oriented middleware. Transactional Attitudes is a new approach to automate the transactional composition of Web services while maintaining autonomy of the individual services. We conclude the chapter in Section 3.7 with a summary.
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When using transmission cells it can be useful to know precisely the pathlength of the cell, particularly for quantitative measurements. The cell pathlength can be measured by the method of counting interference fringes. If an empty cell with parallel windows is placed in the spectrometer and a wavelength range scanned, an interference pattern similar to that shown in Figure 2.13 will be obtained. The amplitude of the waveform will vary from 2 to 15%, depending on the state of the windows. The relationship between the pathlength of the cell, L, and the peak-to-peak fringes is given by the following: L= n 2( 1 2 ) (2.5)
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INDEX Non-blocking send, 259 Nondeterminism, Nondeterminsitic, 22, 23 25, 65 concurrency, and, 25 during testing and debugging, 25, 382 execution behavior, 24, 65 interleavings, 15, 23 problems for testing and debugging, 382 sources of, 23 35 Nondeterministic testing, 143 144, 409 410 combining with deterministic testing, 414 detecting deadlocks, 157 Non-signaled state (Win32), 132 notify() (Java), 112, 189 notify vs. notifyAll, 191 Object, active, 320 Object-based SYN-sequence, 65, 387 388 Object (Java class), 189 Observability problem, 330 331, 413 Open monitor call, 213 OpenMutex() (Win32), 124 OpenSemaphore() (Win32), 124 Operating system, 1 Optimizations, compiler and hardware, 75 76 Ordering events in distributed systems, 330 339 Order number, 283 284 OutputDebugString() (Win32), 243 Parallel program, 432 Partial order, 70, 148 object-based, 387 388 thread-based, 386 387 total order, vs., 288, 386 388 Passing-the-batton, 104 Path -based testing, 391 -based coverage criteria all-paths, 391 branch coverage, 391 condition coverage, 391 decision/condition coverage, 391 decision coverage, 391, 414 multiple condition coverage, 392 statement coverage, 391, 414 de nition, 388 domain, 390 feasibility, 389 relationship to SYN-sequence, 390 Patterns, semaphore. See Semaphore patterns Peterson s algorithm, 52, 72 P operation, 84. See also Semaphore Port, 260. See also Channel
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