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ferences between the expiring contract s final price and the initial price recorded for the new front month contract. This divergence between the two data sets could result in huge price gaps and, more important, for our purposes, false trading signals. For example, by comparing Figures 3.1 and 3.2, if the February lean hogs contract expired today, the nearest futures chart would rise by 332 points, probably triggering false trading signals in most intermediate-term trading systems. Equalized Continuation Price Series Charts Most high-functionality data providers enable their subscribers to overcome this problem of false trading signals on long-term nearest futures charts by providing equalized continuation or point-based back-adjusted data series charting. With an equalized continuation series chart, the problem of contract rollover is resolved by the trader choosing a specific number of days prior to expiration day as the trigger for rolling the data in the chart back to the older futures contract month s data series. Returning to the lean hogs contract rollover problem, if in March 2004 we were to backtest a particular trading system for lean hogs using a equalized continuation price series chart with a designated rollover date of January 19, 2004, as of that date our chart would begin to reflect February 2004

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Dasgupta, P., Narasimhan, N., Moser, L. E., and Melliar-Smith, P. M., MAGNET: Mobile agents for networked electronic trading, IEEE Transactions on Knowledge and Data Engineering 11 (4) (1999), 509-525. Lange, D. B. and Oshima, M., Programming and deploying Java mobile agents with Aglets, Addison-Wesley, Reading, MA, 1998. Sandholm, T. and Huai, Q., Nomad: Mobile agent system for an Internet-based auction house, IEEE Internet Computing 4 ( 2 )MattApr. (2000), 80-86.

de ned for t [0, 1). In the same way, for t [0, 1], Xt and t are the continuous extensions to [0, 1] of Xt (s) = t (s) = 2 r10 (s, t) X (t) X(s) r(s, t)X(t) 2 (s t) r11 (t, t) 2 r10 (s, t) (t) (s) r(s, t) (t) 2 (s t) r11 (t, t)

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Proof of Theorem 6.3. For each > 0, de ne the domain Dk, (B) = {(t1 , . . . , tk ) B k , ti tj if i = j, i, j = 1, . . . , k} and the process Z, (t1 , . . . , tk ) Dk, (B) Z(t1 , . . . , tk ) = Z(t1 ), . . . , Z(tk ) .

SELECT * FROM Table1 WHERE a = 5 and b < 10;

an interval J I, |J | = k 1/m , and points 1 , . . . , p J such that X(j ) ( j ) = 0 for j = 1, . . . , p

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regular polyphosphazenes that have been synthesized are given in Table 1.3. The trends in the glass transition temperature (Tg , above which the polymer has exibility to reorient its chains) show some interesting variations related to intraand interchain interactions. Wide-ranging properties (e.g., crystallinity vs. amorphous behavior and hydrophilicity vs. hydrophobicity) can be introduced into the polyphosphazenes through substituent variations. This leads to a wide variety of potential uses. The cost of the polymers has limited their practicality, but the innocuous nature of their hydrolysis products in biological systems provides impetus for biomedical uses of these polymers where cost is less important than effectiveness and lack of toxicity. Early attempts to commercialize the polyphosphazenes were economically unsuccessful, but new ventures are underway as this book is being written not too surprising given their potential as elastomers, solid polymer electrolytes, hydrogels, microencapsulators, bioerodibles, adhesives, liquid crystalline polymers, nonlinear optical materials, and re-resistant materials. More details on the potential usefulness of these polymers will be found in 4. The structures of typical polyphosphazenes are approximately cis, trans planar structures as shown in Figure 1.3c for the chloride derivative. This structural

The findDataCity() method is similar to the retrieveData method, but the SELECT query is different. The SELECT query is built specifically for Microsoft Access Database. The SELECT query fetches all the records that match the city name passed as the input parameter. The array of weather objects is passed as the return value. The next method I will talk about is the findData() method.

Fresh, undamaged garlic cloves have little smell but when they are cut or crushed an enzyme called allinase cleaves off the side chain of alliin to give allyl sulphenic acid: CH2 ==CH CH2 S OH (allyl sulphenic acid)

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