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Orogenic belts that result from the collision between an island arc and a continent typically are smaller than those that form by continent continent collision (Dewey & Bird, 1970). Arc continent collision also tends to be relatively short-lived because it usually represents an intermediate step during the closure of a contracting ocean basin. Active examples of this type of orogen occur in Taiwan (Huang C.-Y. et al., 2000, 2006), Papua New Guinea (Wallace et al., 2004), and the Timor Banda arc region north of Australia (Audley-Charles, 2004). These belts provide important information on the mechanisms by which continents grow, including by the accretion of terranes (Section 10.6.3). The sequence of events that occurs during arc continent collision begins as the island arc approaches a continent by the consumption of an intervening ocean. Collision begins when the continental margin is driven below the inner wall of the trench. At this point the positive buoyancy of continental lithosphere slows the rate of underthrusting and may lock the trench. If the continental margin is irregular or lies at an angle with respect to the island arc, the timing of arc continent collision may vary along the strike of the orogen. Once collision begins, the forearc region and accretionary wedge are uplifted and deformed as thrust faults carry slices of ysch and oceanic crust onto the continental plate. If the two plates continue to converge, a new trench may develop on the oceanward (or backarc) side of the island arc. The Timor Banda arc region provides an example of an arc continent collision in its early stages of development. Prior to 3 Ma, oceanic lithosphere of the Indo-

SNMP is not an inherently secure protocol. However, security is a signi cant issue for SNMP, given the nature of the information being passed around. The security (or otherwise) of SNMP can have an impact on the utility of this protocol in larger networks. Since SNMP provides the ability to read and write information to managed devices, it is highly desirable for the manager to be able to decide who may and may not access the information available via SNMP. Versions 1 and 2c use a community string, which is a plain text password. Since each trap and poll sent to/from a network device contains the password in plain text, it is easy to nd this password and, with that password, obtain and possibly modify vital network con guration and statistical information. It is not uncommon for

Quarterware abstracts basic middleware functionality and allows application-speci c specializations and extensions The framework can generate core facilities of CORBA, Remote Method Invocation (RMI), and Message Passing Interface (MPI) The framework-generated code is optimized for performance, which the authors demonstrate is comparable and often better than many commercially available middleware implementations..

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For the missing values that are thought to be NMAR, we recommend a sensitivity analysis under plausible alternative models for nonignorable nonresponse (Rubin, 1977; Little and Wang, 1996; Scharfstein et al, 1999) As exemplified in Rubin (1977), the Bayesian framework is convenient for this modelling since it explicitly recognizes the need for prior information A simple approach, which may be as effective as more complex alternatives, is to introduce offsets into the means of the predictive distributions used to multiply-impute the missing values that are thought to be NMAR For example, in the sequential IVEware approach of Raghunathan et al (2001), imputations for a missing variable Yj at a particular iteration t are based on the predictive distribution of Yj given the other variables, with missing values of the other variables imputed with draws from previous steps of the sequence Suppose some set {yji, i 5 1, .

Attributes of the include Action USED TO SPECIFY... The relative URL of the page to be included. If the buffer has to be flushed. A mandatory Boolean attribute has to be included when declaring the include action.

r} of the missing values t t of Yj are thought to be NMAR, and let f ji : i 1; rg and f ji : i 1; rg be the means and standard deviations of the predictive distributions of these values at iteration t under a MAR model One possible sensitivity analysis consists of replacing these pre t t dictive means by f ji j ji : i 1; rg for one or more values of j that are thought to represent plausible deviations from MAR, for example j 5 05 if a positive deviation of half a standard deviation is reasonable, j 5 05 if a negative deviation of that size is thought reasonable or both j 5 05 and j 5 05 if the sign of the deviation is unknown.