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Similar to the Row Strokes, Column Strokes, and Fill panes in the Table Setup dialog box covered earlier in this chapter, the Strokes and Fills pane lets you choose the weight, type, color, and tint of the strokes around a cell, as well as any gap color and tint (if you choose a striped, dashed, or dotted line as the stroke type). At the top of the pane is the representation of the selected cells, depending on whether you ve highlighted one or multiple cells when you open this pane: If you select multiple cells in one row, you get two cells shown side by side; if you select multiple cells in one column, you get two cells, one on top of the other. Click the cell boundary to which you want to apply the stroke formatting and then choose the formatting you want. You can have different formatting for each of the left, right, top, and bottom outside cell boundaries, as well as different formatting for the horizontal boundary between selected cells and for the vertical formatting for the vertical boundary between selected cells. Usually, you select all outside boundaries and apply stroke formatting to all of them simultaneously, and you may do the same for the interior boundaries.

AMR codec modes Quality Robustness 25 Channel bit rate (kbps) 20 15 10 5 0 FR FR FR 12.2 10.2 7.95 FR 7.4 FR 6.7 FR 5.9 FR FR HR 5.15 4.75 7.95 HR 7.4 HR 6.7 HR 5.9 HR HR 5.15 4.75 FULL RATE Quality Robustness HALF RATE Channel coding Speech coding

You can still use the MX effects to animate Spark components by wrapping the Spark component in an MX container. For example, the WipeLeft, WipeRight, WipeUp, WipeDown, Iris, and certain other effects haven t been rewritten in Spark at this point. The following code wraps a Spark Button in a MX Box container, and then applies the MX WipeRight effect to the containing Box:

Humana Press, Totowa, NJ Brenner, DJ, NR Krieg, and JT Staley (eds) 2005 Bergey s Manual of Systematic Bacteriology, Vol 2, The Proteobacteria, Part A, Introductory Essays, 2nd edn Springer-Verlag, New York Burnett, JH 2003 Fungal Populations and Species Oxford University Press, New York Cann, AJ 2005 Principles of Molecular Virology, 4th edn Elsevier Academic Press, Boston, MA Chaudhary, BR and SB Agrawal 1996 Cytology, Genetics and Molecular Biology of Algae SPB Academic Publications, New York Clarke, KJ 2003 Guide to the Identi cation of Soil Protozoa Testate Amoebae CEH-Windermere, Ambleside, UK Coenye, T, D Gevers, Y Van de Peer, P VanDamme, and J Swings 2005 Towards a prokaryotic genome taxonomy FEMS Microbiol Rev 29:147 167 Cohan, FM 2002 What are bacterial species Annu Rev Microbiol 56:457 487 Curtis, TP and WT Sloan 2005.

The next step is to join this to the revenue table and to the original data. For convenience, the original data is aggregated by market, channel, and tenure.

Exploring microbial diversity a vast below Science 309: 1331 1333 Curtis, TP, WT Sloan, and JW Scannell 2002 Estimating prokaryotic diversity and its limits Proc Natl Acad Sci USA 99:10494 10499 Darby, IA and TD Hewitson 2006 In situ Hybridization Protocols, 3rd edn Humana Press, Totowa, NJ del MarLleo, M, B Bonato, D Benedetti, and P Canepari 2005 Survival of enterococcal species in aquatic environments FEMS Microbiol Ecol 54: 189 196 DeLong, EF 1998 Everything in moderation: Archaea as non-extremophiles Curr Opin Genet Dev 8:649 654 DeLong, EF, KY Wu, BB Prezelin and RVM Jovine 1992 High abundance of Archaea in Atlantic marine picoplankton Nature 371:695 697..

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The following descriptions represent a cross section of a variety of capabilities to be demonstrated by application developers from many different institutions. These six applications also cut across three fundamental areas of computational science. Theoretical simulation can be thought of as using the metacomputers to solve scienti c equations numerically. Instrument/sensor control can be thought of as using the metacomputer to translate raw data from scienti c instruments and sensors into visual images, allowing the user to interact with the instrument or sensor in real time as well. Finally, Data Navigation can be thought of as using the metacomputer to explore large databases, translating numerical data into human sensory input. 37.2.1 Theoretical simulation Theoretical simulation is the use of high-performance computing to perform numerical experiments, using scienti c equations to create an arti cial numerical world in the metacomputer memory where experiments take place without the constraints of space or time.