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When you launch FileMaker Pro and open a database, the entire database isn t always loaded into memory in fact, unless it is very small, it will almost never be entirely loaded into memory. FileMaker Pro, like most powerful applications (Word, Excel, iMovie, iDVD, and so on) uses a disk-caching scheme, loading only the data it requires at the moment (based on your find requests, the layout in use, and so on). When the program needs to display additional records or a different layout, it reads the information from the disk, replacing the data that was previously in memory with the new data. This way, you can open a 1GB database with a computer that has only 256MB of RAM, for example. Disk caching is common to many programs that deal with large quantities of data and is in addition to your Mac or Windows virtual memory. The amount of caching done, though, like the amount of virtual memory pageswapping, will vary inversely with the amount of real memory available. If you re using FileMaker Pro with a laptop computer, you ll notice an important consequence of this disk-caching scheme. With large databases, you can expect more disk accesses than normal, which more quickly uses up the battery charge. If you are running on battery power, you re well advised to restrict your work to smaller databases or to use larger databases sparingly closing them as soon as you accomplish the task at hand.

The kinetic scheme corresponding with the ordered Ter Bi kinetic scheme is illustrated in Scheme 8.12, which gives the following initial net forward rate for the conversion of substrates into products in the presence of negligible concentrations of products: Vmax f = [SA ][SB ][SC ] + K i SB K m SC [SA ] + K i SA K m SB [SC ] + K m SC [SA ][SB ]+ (8.73)

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were performed. Once the solution converged, the product distribution XS was calculated using 2CS XS = (5-51) CR + 2CS In the reaction model used here it was assumed that small scale mixing affected only the rst reaction and that once this reaction had occurred, the species were locally well mixed. As a result, small scale turbulent mixing did not affect the second reaction. This was achieved by using different values of the Magnussen model constants for the two reactions. Figure 5-22 shows a comparison between the experimental data from Middleton et al. and the CFD predictions for both reactors. The product distribution, XS , is plotted as a function of impeller speed, in rpm. This graph shows that the model predicts the effects of scale and impeller rotational speed correctly and is usually within 10% of the experimental results. The effect of the inlet position of the feed stream on the formation of the by-product, S, was also studied. Figure 5-23 shows values of XS for various feed locations. XS varies only slightly when the inlet is located in the uid bulk. However, when the feed is injected directly above the impeller, such that the feed stream passes immediately through the highly turbulent impeller zone, local mixing is much faster and does not limit the rate of the rst reaction. As a result there is less reaction by-product, S, and the nal XS is only 50% of what it would be if the feed were located away from the impeller. This qualitatively agrees with the experimental results of Tipnis et al. (1993), who used a different set of reactions and tank geometries but also found that injection near the impeller resulted in a lower XS value than

connect on the connection function. < php $link = mysql_pconnect( localhost , root , ); print Persistent Resource ID: . $link; >

The Spark version of the List control supports a layout property that can be set to an instance of HorizontalLayout or TileLayout. You use ItemRenderer as the base class of its custom item renderers, as shown in the application in Listing 20.16.

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