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For each nonclustered attribute, a broadcast cycle can be partitioned into a number of segments called metasegments [18], each of which holds a sequence of frames with nondecreasing (or nonincreasing) values of that attribute Thus, when we look at each individual metasegment, the data frames are clustered on that attribute and the indexing techniques discussed in the last subsection can still be applied to a metasegment The number of metasegments in the broadcast cycle for an attribute is called the scattering factor of the attribute The scattering factor of an attribute increases as the importance of the attribute decreases The index tree, signature, and hybrid methods are applicable to indexing multiattribute data frames [15] For multiattribute indexing, an index tree is built for each index attribute, and multiple attribute values are superimposed to generate signatures When two special types of queries, ie.

There is evidence suggesting that high ratios of positive to negative affect would distinguish individuals who flourish ( live within an optimal range of human functioning) from those who do not (Fredrickson & Losada, 2005) These investigators, applying the reformulated balanced-states-of-mind model (Schwartz, 1997), showed that positivity ratios at or above 29 are associated with human flourishing (Fredrickson & Losada, 2005, p 685) Problems occur with too much positivity, and appropriate negativity may play an important role in the complex dynamics of human flourishing Moreover, certain forms of negativity promote flourishing better than others (pp 684 685) Although the positivity ratio was found to be one of the correlates of successful athletic performance (Hanin, Jokela, & Syrj , 1998), both positivity and negativity of emotions should be appropriate or optimal for the task at hand, especially in high-achievement sports Future research could also examine the role of the.

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Sometimes you want to add extra blank space. Perhaps you have text that doesn t belong in a paragraph. In the previous example, after the table heading, we have the word from on its own line. To achieve this, we inserted the BR element after the table heading. We wouldn t have wanted this word to be a paragraph by itself, in part, because, structurally, it is not. Had we made this word a paragraph, and in a style sheet indicated that paragraphs should have a half-inch indentation on the first line, then this word would have been indented a half inch. Wouldn t that look strange The BR element takes no attributes. It only has a start tag. There is no content and no end tag. This is the easiest element to get right.

, queries with all conjunction operators and queries with all disjunction operators, are considered, empirical comparisons show that the index tree method, though performing well for single-attribute queries, results in poor access time performance [15] This is due to its large overheads for building a distributed index tree for each attribute indexed Moreover, the index tree method has an update constraint, ie, updates of a data frame are not reflected until the next broadcast cycle The comparisons revealed that the hybrid technique is the best choice for multiattribute queries due to its good access time and tune-in time The signature method performs close to the hybrid method for disjunction queries The index tree method has a similar tune-in time performance as the hybrid method for conjunction queries, whereas it is poor in terms of access time for any type of multiattribute queries 114 OTHER ISSUES 114.

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1 Semantic Broadcast The indexing techniques discussed in Section 113 can help mobile clients filter information and improve tune-in time for data broadcast This type of broadcast is called itembased One major limitation of such item-based schemes is their lack of semantics associated with a broadcast Thus, it is hard for mobile clients to determine if their queries could be answered from the broadcast entirely, forcing them to contact the server for possibly additional items To remedy this, a semantic-based broadcast approach was suggested [20] This approach attaches a semantic description to each broadcast unit, called a chunk, which is a cluster of data items This allows clients to determine if a query can be answered based solely on the broadcast and to define precisely the remaining items in the form of a supplementary query Consider a stock information system containing stock pricing information.

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