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Data Grids are focused on the lower row of the Grid and seek to tie together multiple storage systems and create a logical namespace [28] The rows of the data management matrix describe different naming conventions At the lowest level, a data model speci es a namespace for describing the structure within a digital entity An example is the METS standard [29] for describing composite objects, such as multimedia les At the next higher level, storage systems use le names to identify all the digital entities on their physical media At the next higher level, databases use attributes to characterize digital entities, with the attribute names forming a common namespace At the next higher level, Data Grids use a logical namespace to create global, persistent identi ers that span multiple storage systems and databases Finally, at the knowledge level, concept spaces are used to span multiple Data Grids [30] 16.

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32 Virtualization and levels of data abstraction The management of persistence of data has been discussed through two types of mechanisms, emulation of the viewing application and migration of the digital entity to new data formats Both approaches can be viewed as parts of a continuum, based upon the choice for data abstraction From the perspective of emulation, software infrastructure is characterized not by the ability to annotate data, information, and knowledge but by the systems used to interconnect an application to storage and display systems Figure 162 shows the levels of interoperability for emulation Note that emulation must address not only possible changes in operating systems but also changes in storage systems and display systems.

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Since any component of the hardware and software infrastructure may change over time, emulation needs to be able to deal with changes not only in the operating system calls but also in the storage and the display systems An application can be wrapped to map the original operating system calls used by the application to a new set of operating system calls Conversely, an operating system can be wrapped, by adding support for the old system calls, either as issued by the application or as used by old storage and display systems Finally, the storage systems can be abstracted through use of a data handling system, which maps from the protocols used by the storage systems to the protocols required by the application.

A similar approach can be used to build a display system abstraction that maps from the protocols required by the display to the protocols used by the application Thus, the choice of abstraction level can be varied from the application, to the operating system, to the storage and display systems Migration puts the abstraction.

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1. Select the object with the Selection tool. For more on the Selection tool, see 6. 2. In the Appearance panel, change the stroke weight by clicking and holding it and then choose a new stroke width and other stroke attributes in the miniature Stroke panel. 3. In the Appearance panel, choose a new color by clicking and holding the dropdown arrow to display the Color/Swatch miniature panel, as shown in Figure 15.4. The color is automatically updated for the object.

show that it may be possible t o break chiral symmetry on a scale different from that for deconfinement, the corresponding SU (3) calculations suggest first order chiral and deconfinement transitions in the pure gauge theory that are coincident. The SU(2) calculations of Fig. 14.12 have also been done with quarks in the adjoint and higher-dimensional representations. For quarks in these representations a stronger short-range attraction is experienced than in

For our purposes, the 2n term drops out of the equations, and this needlessly complicates them. This formulation is similar to the Ewald spheres approach used in crystallography. As a sanity check, we can confirm that if the reference and object beams are opposite from each other in an inline configuration, the difference between them is the sum of their magnitudes:

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