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Therefore, the pseudo range difference from time t dt to time t is given by Dr(t dt) ri (t dt) ri (t) DDS!A (t dt) Dd c D[t(t dt)] D[Dprop(t dt)], where DDS!A (t dt) DS!A (t dt) DS!A (t) Dd dj di D[t(t dt)] t(t dt) t(t) D[Dprop(t dt)] Dprop(t dt) Dprop(t):

Instead, you should use the tag method of the Smarty variable:

occurring from noncurrent account transactions in one complete operating time period. It does not show how the individual accounts that are part of working capital have changed. If this information is wanted, or required, it is shown separately in a statement of changes to individual working capital accounts. If we use the current asset and current liability sections of the balance sheet in Exhibit 10.11, we could summarize the changes in individual working capital accounts, as in Exhibit 10.15. An analysis of individual account changes can be made as a result of preparing a statement of changes in working capital. Questions could then be asked. For example, assume the cash account has increased by $2,000, or 20 percent ($2,000 divided by $10,000); do we need extra cash on hand, or should the extra cash be used to pay off some of a bank loan and save interest expense By reducing interest expense, net income may increase. The receivables have gone up by $3,000, or 60 percent; has our total revenue increased 60 percent, or have we changed our credit policies, or are we not following up effectively on the collection of accounts The information in the statement of changes in working capital accounts raises these and other questions. The problem of cash management and the control of individual working capital accounts, such as inventory, accounts receivable, and accounts payable, will be discussed in 11. As a point of review, the effects of changes to current assets and current liabilities and their effect on working capital can be summarized using a simple base data set, as follows:

To add a shortcut, click the Add Shortcut (+) button. To remove a shortcut, click the Remove Shortcut (-) button and proceed to step 6.

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5.4.1.2 Popular Content Categories To study the popularity of Web pages in terms of content categories, we classify content into different categories, such as entertainment, stocks, weather, news, travel, and Yellow Pages. As mentioned earlier, all pages on the Web site are dynamically generated. For every Web access, the server runs an appropriate ASP [15] script. Usually, the name of the ASP script is indicative of the category of information accessed. For example, if the URL in the browse log contains the script name nd.asp, we categorize it under Yellow Pages ; similarly, if the script lename is stock.asp or onequote.asp, we categorize the access as stock quotes. This algorithm works

The Q element is a prospective element. The Q element doesn t render as anything other than ordinary text, but it may someday in the future. The Q element is the inline equivalent of BLOCKQUOTE and takes the same attributes. Quote <Q> Start Tag: Content: End Tag: Attributes: Required Inline elements Required

For example, a variable containing information about the last button pressed could be called lastButtonPressed. A name like foo would make it difficult to remember what the variable contains.

to predict safe sex practices (Gerrard, Gibbons, & Bushman, 1996; A. O Leary, 1992). The battle against AIDS provides another classic example of a devastating illness that is completely preventable through behavioral change (Institute of Medicine, 2001).

damental psychological needs are thought to underlie intrinsic motivation (ie, pursuit of need satisfaction) and states of ill-being (ie, chronic thwarting of psychological needs) In one study we evaluated three structural equation models featuring the different types of relationships between motivational types and burnout (Cresswell & Eklund, 2005b) in an attempt to obtain clues about the nature of the relationships from cross-sectional data Specifically, one conceptual model evaluated causal pathways specified from a burnout latent variable to latent variables of the various motivational types The second model featured causal pathways in the opposite direction The final model specified noncausal relationships between burnout and motivations varying in extent of self-determination The degrees of freedom in all models were the same We found that all models displayed reasonable and comparable fits, although the model featuring concomitant relationships exhibited, by a trivial margin, the smallest chi square.