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Find criteria assembled in the ways described in the previous sections are applied to all the records in the current table (as determined by the TO associated with the layout in the frontmost window). However, at times, using the results of a previous Find as the starting point for your search is convenient. You can do this in either of two ways: n If you want to search only within the records already showing in a found set on the current layout, go to Find mode, create your Find criteria, and choose Requests Constrain Found Set. FileMaker locates only records within the current found set that meet the criteria you supply. n If you want to preserve the current found set and add to it any records meeting your criteria, go to Find mode, create your Find criteria, and choose Requests Extend Found Set. When extending the found set, FileMaker applies the supplied criteria to currently omitted records (that is, those not in the current found set), adding the results to the preexisting found set. In both instances, you re able to refine an existing found set, thereby progressively building the criteria until you ve isolated the desired group of records.

As our society has made the transition from products to information, we have seen the rapid acceleration of an age-old problem: identifying needed resources. Finding and obtaining resources have been important themes of world history, whether those resources be spices, fuel, raw materials, or information. Today, computers should make searching easier. After all, aren t computers supposed to be experts at sifting through large collections of data to find what you re looking for Well, yes and no. First, I should differentiate between data and information. Data is stuff an all-encompassing body including every iota of digital memory and space on hard disks and backup tapes. Information, on the other hand, is the data relevant to and valuable for your specific interests. If you re interested in Beat poets of the 1960s, for example, information on other topics such as municipal drainage systems or needlepoint isn t valuable at all, but rather is clutter. Computers have tremendously expanded the proliferation of data. As a result, separating information from the massive flood of data is one of the fundamental challenges of the age of information. I can only imagine how much worse the situation will get in the next decade as more and more data flows down the wires. When considered in this light, the Internet has a big problem. Because it has no central authority or organization, the Net s vast stores of data are not laid out in any meaningful or intuitive fashion. You are just as likely to find information on Beat poets on a machine run by a German embassy as you are to find it on a computer in a small liberal arts school in San Francisco.

HELLER (1982) L. Heller, in Quarks and Nuclear Forces (ed. by D. Fries and B. Zeitnitz; Springer-Verlag, 1982). HERB ET

Although drum blenders represent a convenient paradigm for the purpose of categorizing granular behaviors, most blending operations occur in more complex tumbler geometries. Three of the most common geometries used in pharmaceutical operations are the double cone, the V-blender, and the bin blender, sketched in Figure 15-19. Each of these geometries possesses many variants; for example, symmetry can be broken to introduce cross- ow by slanting the double cone, by elongating one of the arms of the V-blender, or by inserting baf es in a bin. To model ow and blending in complicated geometries, particle-dynamic simulations have been applied. In these simulations, particles are treated as individual entities with physical properties (e.g., size, static and dynamic friction coef cients, coef cient of restitution, etc.) appropriate to the problem of interest, and Newton s laws of motion are integrated for each particle. Particle-dynamic simulations are similar in concept to molecular-dynamic simulations but include

See Table 11-5 for the calculations. The relevant equations, which are solved using TK Solver or a similar program, are FlG = QG ND3 Fr = N2 D g PU = Po N3 D5 L PG = RPD PU

var reCase:RegExp = new RegExp( .*(\\b\\w+ain).*(\\b\\w+ain) .*(\\b\\w+ain).*(\\b\\w+ain)\\. , gi ); var sVal = new String( the rain in Spain falls mainly on the plain. ); var aMatches = sVal.match(reCase); trace(RegExp.lastParen); // Displays: plain trace(RegExp.$1); // Displays: rain trace(RegExp.$2); // Displays: Spain trace(RegExp.$3); // Displays: main trace(RegExp.$4); // Displays: plain Web Resource ; ;

Tip The Simple Rollover behavior is used to create single- or multiple-button rollovers in which one image is replaced by another image in the same location; only two frames are used for a Simple Rollover. Use the Swap Image behavior to create more complex rollovers, such as those in which the rollover triggers an image change in another location. A third alternative, the Nav Bar, should be used in situations where the navigation system is to be placed in a frameset. The Nav Bar behavior can display all four states (up, over, down, and over while down).