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2. To see what the graphic looks like for page-design purposes, click the Preview button (the forward arrow play symbol) at the lower-left corner of the Plug-in Inspector. (Normally, this preview enables you to play a QuickTime movie, but the first frame of the movie appears on the page. Only with SVG do you see nothing until this preview is on.) 3. (Optional) If you re using a compressed version of your SVG file on your page, turn to the SVG tab of the Plug-in Inspector and check the option for using a Compressed SVG. Believe it or not, this links the plug-in to the compressed file via the uncompressed file and both files (uncompressed and compressed) have to reside together in your Files tab and on the server. That sort of defeats the purpose of compressing a file, doesn t it

where a is the particle diameter, p and m are the densities of the particle and solvent, respectively and is the viscosity of the solvent. The inverse relationship with viscosity means that sedimentation velocity decreases markedly with increase in solvent viscosity and (since viscosity is dependent on temperature) with temperature. For this reason, sedimentation velocities are usually corrected for different solvent composition and temperature to standard conditions of pure water at 20 C. The relationship described by Equation (7.16) underlies all centrifugation experiments in biochemistry and is the reason why different particles (i.e. with differing partial speci c volumes and mass) can achieve individual sedimentation velocities in a single solvent at a single angular velocity. It provides the basis for differential centrifugation in which particles may be conveniently separated from each other. It is dif cult to determine , and f accurately so a useful measure of differential behaviour in a centrifugal eld is provided by the sedimentation coef cient, s; m o (1 ) v = r f

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where hi = ( h l ,h2, ...h ~ are ) complex Gaussian random variables with co~ variance matrix Rhrhl.With the aid of (6.3) and (6.10), the CDF of 11can be calculated through the CDF of /IhllI2as:

One final way to create a list is through list comprehensions, which are great if you want to operate on each item in a list and store the result in a new list, or if you want to create a list that contains only items that meet certain criteria. For example, to generate a list containing x2 for the numbers 1 through 10:

This is a practical book that introduces the key ideas of text mining. It assumes that you have electronic texts to analyze and are willing to write programs using the programming language Perl. Although programming takes effort, it allows a researcher to do exactly what he or she wants to do. Interesting texts often have many idiosyncrasies that defy a software package approach. Numerous, detailed examples are given throughout this book that explain how to write short programs to perform various text analyses. Most of these easily fit on one page, and none are longer than two pages. In addition, it takes little skill to copy and run code shown in this book, so even a novice programmer can get results quickly. The first programs illustrating a new idea use only a line or two of text. However, most of the programs in this book analyze works of literature, which include the 68 short stories of Edgar Allan Poe, Charles Dickens s A Christmas Carol, Jack London s The Call of the Wild, Mary Shelley s Frankenstein, and Johann Wolfgang von Goethe s Die Leiden des jungen Werthers. All of these are in the public domain and are available from the Web for free. Since all the software to write the programs is also free, you can reproduce all the analyses of this book on your computer without any additional cost. This book is built around the programming language Perl for several reasons. First, Perl is free. There are no trial or student versions, and anyone with access to the Web can download it as many times and on as many computers as desired. Second, Larry Wall created Perl to excel in processing computer text files. In addition, he has a background in

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