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Excel s Find And Replace dialog box includes a feature that allows you to search your worksheet to locate cells that contain specific formatting. This feature does not locate cells that contain formatting resulting from conditional formatting.
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CHAPTER 14. SYNCHRONIZERS
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Dreamweaver comes with related panels already combined into panel groups. However, you re not limited to the predefined panel groups. In fact, the panel groups are completely customizable, giving you optimum control over your workflow. Moving panels from one group to another, creating new groups, and renaming panel groups are straightforward operations. If you want, you can also remove little-used panels from groups and reorder the panels within a group. To move a panel from one group to another, start by opening the panel you want to move. Next, right-click (Control+click) in the title bar of the panel group, select Group <panel> With (in the context menu), and click the name of the panel group where you want the panel to reside. The same command is available from the Options menu, accessed by clicking the icon at the right of an open panel group s title bar. This command removes the current panel from its original panel group, and adds the panel s tab to the right of the existing tabs in the target panel group.
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All non-aggregated fields must be included in a Group By statement of the SQL query. If filters are based on aggregated data, the filter must be specified in the Having part of the SQL query, not the Where part.
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Metrics kerning uses a font s built-in kerning pairs to control the space between character pairs in the highlighted text. Optical kerning has InDesign look at each letter pair in highlighted text and add or remove space between the letters based on the shapes of the characters. Manual kerning is adding or removing space between a specific letter pair in userspecified amounts.
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When a PivotTable report has more than one field in the row or column area, the fields have a hierarchy beginning with the outermost field. In the row area, for example, the outer field is displayed at the far left and provides the top level of organization of the PivotTable s rows, while the inner field is displayed at the right and provides the lowest level of organization. To change a field s inner/outer position, you set its Position property. A value of 1 specifies the outer field, 2 is the next level, and so on. This addition to the previous example sets the Color field to be the outer row field:
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Web Dither: Extends the Web-safe color range by using a repeating pattern of two Web-safe colors that simulates an unsafe color. Pattern: Applies a full-color image as a repeating pattern. Gradient: Inserts one of eleven gradient patterns blending two or more colors. The Gradient category is not separately listed, but implied through the listing of the gradient patterns.
10. Jennings, N. R., Faratin, P., Lomuscio, A. R., Parsons, S., Sierra, C. and Wooldridge, M. (2001) Automated negotiation: prospects, methods and challenges. International Journal of Group Decision and Negotiation, 10(2), 199 215. 11. Faratin, P., Sierra, C. and Jennings, N. R. (1999) Negotiation decision functions for autonomous agents. International Journal of Robotics and Autonomous Systems, 24(3 4), 159 182. 12. Kraus, S. (2001) Strategic Negotiation in Multi-agent Environments. Cambridge, MA: MIT Press. 13. Sandholm, T. (2000) Agents in electronic commerce: component technologies for automated negotiation and coalition formation. Autonomous Agents and Multi-Agent Systems, 3(1), 73 96. 14. Shehory, O. and Kraus, S. (1998) Methods for task allocation via agent coalition formation. Arti cial Intelligence, 101(1 2), 165 200. 15. Hayes-Roth, F., Waterman, D. A. and Lenat, D. B. (1983) Building Expert Systems. Reading, Mass.: Addison-Wesley. 16. Shadbolt, N. R. and Burton, M. (1995) Knowledge elicitation: a systematic approach, in evaluation of human work, in Wilson, J. R. and Corlett, E. N. (eds) A Practical Ergonomics Methodology. ISBN-07484-0084-2 London, UK: Taylor & Francis, pp. 406 440. 17. Hoffman, R., Shadbolt, N. R., Burton, A. M. and Klein, G. (1995) Eliciting knowledge from experts: a methodological analysis. Organizational Behavior and Decision Processes, 62(2), 129 158. 18. Shadbolt, N. R., O Hara, K. and Crow, L. (1999) The experimental evaluation of knowledge acquisition techniques and methods: history, problems and new directions. International Journal of Human Computer Studies, 51(4), 729 755. 19. Milton, N., Shadbolt, N., Cottam, H. and Hammersley, M. (1999). Towards a knowledge technology for knowledge management. International Journal of Human Computer Studies, 51(3), 615 64. 20. Shaw, M. L. G. and Gaines, B. R. (1998) WebGrid-II: developing hierarchical knowledge structures from at grids. In Proceedings of the 11th Knowledge Acquisition Workshop (KAW 98), Banff, Canada, April, 1998, pp. 18 23, Available at http://repgrid.com/reports/KBS/WG/. 21. Crow, L. and Shadbolt, N. R. (2001) Extracting focused knowledge from the semantic web. International Journal of Human Computer Studies, 54(1), 155 184. 22. Ciravegna, F.(2001) Adaptive information extraction from text by rule induction and generalisation. Proceedings of 17th International Joint Conference on Arti cial Intelligence (IJCAI2001), Seattle, August, 2001. 23. Middleton, S. E., De Roure, D. and Shadbolt, N. R. (2001) Capturing knowledge of user preferences: ontologies in recommender systems, Proceedings of the First International Conference on Knowledge Capture, K-CAP2001. New York: ACM Press. 24. Brachman, R. J. and Levesque, H. J. (1983) Readings in Knowledge Representation. San Mateo, CA: Morgan Kaufmann Publishers. 25. Schreiber, G., Akkermans, H., Anjewierden, A., de Hoog, R., Shadbolt, N. R., Van de Velde, W. and Wielinga, B. (2000) Knowledge Engineering and Management. Cambridge, MA: MIT Press. 26. Gamma, E., Helm, R., Johnson, R. and Vlissides, J. (1995) Design Patterns: Elements of Reusable Object-Oriented Software. Reading, MA: Addison-Wesley. 27. Motta, E., Buckingham Shum, S. and Domingue, J. (2001) Ontology-driven document enrichment: principles. Tools and Applications. International Journal of Human Computer Studies, 52(5), 1071 1109. 28. Motta, E., Vargas-Vera, M., Domingue, J., Lanzoni, M., Stutt, A., and Ciravegna, F. (2002) MnM: ontology driven semi-automatic and automatic support for semantic Markup. 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW2002), Sig enza, Spain, 2002. u 29. Handschuh, S., Staab, S. and Ciravegna, F. (2002) S-CREAM Semi-automatic CREAtion of Metadata. 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW2002), Sig enza, Spain, 2002. u
The single banner ad is chosen from the array by using a random key. This random key is generated using the mt_rand() function and the length of the $bannerAds array.
Figure 6.42. Link level performance of main TCH/AHS and O-TCH/AHS codec modes. TU3 iFH channels
3 and 6 . For now we are content with remaining at tree level. However, it is worth emphasizing at this point that the most important field theories for which the divergences can be tamed to yield sensible results are precisely the local gauge theories that will occupy our attention in subsequent chapters.
In addition to the features described in this chapter, AIR applications can accomplish the following tasks that aren t possible with Flex Web applications:
The Appearance tab allows you to control many of the different ways that Fireworks can arrange your pop-up menus on the screen. To get the most out of these options, follow the steps below: 1. On the Appearance tab, specify a menu style, either HTML (see Figure 21-15) or Image (see Figure 21-16). HTML menus are composed of plain HTML text and tables after export. Image menus use images formatted with Fireworks styles.
Being siblings in the iLife 09 family, iDVD 09 and iMovie 09 know how to play well together. You can get a movie from iMovie into iDVD by sharing it to the Media Browser or creating a DVD project based on the movie.
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