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inside a player, a user could very easily start searching for titles with their favorite actor, director, or genre. To allow such a disc library search, the Blu-ray implementation of the application metadata is split into two parts a metadata description file and associated thumbnails. The metadata description file contains information about the name of the disc and, on a more granular level, the content of each title, each chapter, and track name, the various languages, and so on. All, or some, of this information can be provided by the content author and becomes available for a disc search. The way this is implemented is that once a disc is inserted into a player, the metadata file is copied to the local storage of the player. As discs get inserted into the player, a disc library starts building up. However, how much of a disc search is possible within a given player depends on the specific player implementation. Thumbnails are an additional feature that provides a visual link to the content. They are similar to the jacket pictures in DVD. For instance, while the metadata of a specific disc is displayed on the screen, it could also show an associated thumbnail, such as, the disc cover. In addition to a thumbnail for the disc, the metadata descriptors can contain thumbnails for each title. Basically, all the thumbnails are stored as separate files with references inside the metadata information file. In this way, it is easy for content authors to decide whether to use thumbnails for a disc or title search. It is also possible to store multiple resolutions of thumbnails to accommodate different display resolutions.

Figure 9.14 Leg rejuvenation with radiofrequency: Pre- and 3 months postradiofrequency tightening of the skin of the upper leg and knee

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Pathoanatomy of Brain Displacement and Herniations (See also Chap. 31)

WOOTEN GF: Agonists vs levodopa in PD. Neurology 60:360, 2003. WORSTER-DROUGHT C, GREENFIELD JG, MCMENEMEY WH: A form of familial progressive dementia with spastic paralysis. Brain 67:38, 1944. YOUNG AB, SHOULSON I, PENNEY JB, et al: Huntington s disease in Venezuela: Neurologic features and functional decline. Neurology 36: 244, 1986. YOUNG RR: The differential diagnosis of Parkinson s disease. Int J Neurol 12:210, 1977.

We envision the real numbers as laid out on a line, and we locate real numbers from left to right on this line. If a < b are real numbers then a will lie to the left of b on this line. See Fig. 1.1.

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Here are examples of the most widely useful types of paragraph formatting:

where each element of a is a component of a small angle. To rst order, p Cp = (Ca ) 1 can be shown by direct multiplication to yield a p Cp = I a . p a The computed speci c force equation is p f f = Cp a . a (11.113) (11.112)

C/C++ has two type modifiers that are used to control the ways in which variables may be accessed or modified. These modifiers are called const and volatile. Variables of type const may not be changed during execution by your program. For example,

There s only one active document at a time in Word. The active document class makes it easy to manipulate the document the user was working with, but you need to be careful because the active document can change during the course of a script. Obviously, if you deliberately activate another document, that document becomes the active document but so does a new document you create or a document you open. Similarly, if you close the active document, the next document behind it becomes active.

Now suppose the two of them play this game repeatedly. If Row always makes the same move, Column will quickly catch on and will always play the countermove, winning every time. Therefore Row should mix things up: we can model this by allowing Row to have a mixed strategy, in which on each turn she plays r with probability x 1 , p with probability x2 , and s with probability x3 . This strategy is speci ed by the vector x = (x 1 , x2 , x3 ), positive numbers that add up to 1. Similarly, Column s mixed strategy is some y = (y 1 , y2 , y3 ).2 On any given round of the game, there is an x i yj chance that Row and Column will play the ith and jth moves, respectively. Therefore the expected (average) payoff is Gij Prob[Row plays i, Column plays j] = Gij xi yj .

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