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If you want an even more comprehensive look at what s going on under the hood, try SiSoftware s Sandra (wwwsisoftwarecouk), a benchmarking and testing utility that helps you understand the problems your system is encountering, although you ll need other utilities to help repair those problems Useful and informative, it s designed for those who already know a fair bit about what s happening inside their PCs..

n Close palette button: When a palette is active (in the front of the group), its tab bears an X or Close button. This is new to Photoshop CS3 and pretty handy. Click the X to close that palette entirely. To bring the palette back, re-select it from the Window menu. n Collapse box: Click the minimize button (an underscore) to reduce the palette to a title bar. Once clicked, this button changes to a maximize button (a small box), which, when clicked, redisplays the palette at full size. n Resize options: If a palette has a size icon (a set of diagonal lines in a triangle in the lower-right corner of the palette), and you mouse over that icon, you can resize that palette within the dock or as a floating palette out on the workspace. Note that some palettes don t allow resizing at all (and no sizing icon appears in the lower-right corner if this is the case) and others only allow it in one direction horizontally or vertically. You won t know until you mouse over the icon; if your pointer becomes a diagonal twoheaded arrow, you can resize in either direction. If it becomes a vertical or horizontal two-headed arrow, the direction the arrows point tells you what sizing limitations you re faced with.

# Use the aggregator to find the given entry. entry = findEntry(feed_uri, entry_id) # Print out the content header right away. print Content-Type: text/html print # Check if a feed and entry were found... if entry: # Take a sample guess before training on this entry. before_guess = guessEntry(guesser, entry) before_score = scoreEntry(guesser, entry) # Train with this entry and classification, save # the data. trainEntry(guesser, like, entry) # Take a sample guess after training. after_guess = guessEntry(guesser, entry) after_score = scoreEntry(guesser, entry) # Save the guesser data guesser.save(BAYES_DATA_FN)

Deleted Items. Holds any and all items you have deleted before they are permanently deleted. See the section Deleting Items and Using the Deleted Items Folder, later in this chapter. Drafts. Holds e-mail messages you have started composing but not yet sent. Inbox. Holds received e-mails. Journal. Holds your journal items. Junk E-mail. Holds e-mail that has been agged as junk (spam). Notes. Holds your notes. Outbox. Holds e-mails that you have sent but that have not yet been transferred to your e-mail server. RSS Feeds. Holds content from your subscribed RSS feeds. Sent Items. Holds copies of e-mail messages that you have sent.

Something else to consider when evaluating a histogram is the tonal key of the image. When an image is a bright scene (high-key) or a dark scene (low-key), the histogram can fool you. Figures 6.4 and 6.5 show photos and their accompanying histograms. At rst glance, the Denyce Weiler

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When you start PowerPoint, a new blank presentation begins automatically with one slide. Just add your content to it, add more slides if needed, change the formatting (as you ll learn in upcoming chapters), and go for it.

Here are the two ways to get XML data into FileMaker Pro: Open an XML data file and stylesheet, automatically creating a new FileMaker Pro database Import XML data into an existing FileMaker Pro database adding new records, replacing the current found set, or updating the current found set Regardless of the method you choose, the XML data must conform to the FMPXMLRESULT grammar. If necessary, you can apply a stylesheet to the data in order to make it conform to FileMaker s XML requirements.

Cloud computing offers a new pathway to business agility and faster time to market by offering ready-to-consume cloud-enabled resources, such as IT infrastructure, software platforms and business applications, that can be accessed and operated in support of a new

Figure 9.5 Spectral estimation using an independent column code spectrometer: (a) raw CCD image; (b) smile-corrected CCD image; (c) spectral estimates from each column of aperture code; (d) aligned spectral estimates; (e) spectral estimate.