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Figure A 4: The introductory information dialog when creating a new EJB Now you need to provide the information necessary to creating the JAR file that will contain the class files of your EJB. The complex dialog is shown in Figure A 5.

Here are some tips when buying food from a vending machine: Select sandwiches made with whole-grain breads. Choose vegetable juice instead of pop. Buy cheese and crackers, hummus and crackers, or tuna and crackers. Look for fresh or canned fruit. Avoid large muffins they usually contain a whopping 500 calories. Stay away from canned soups unless you know they are low in sodium.

ew, if any, foods evoke the warm and cozy, homey feeling that soup creates. Soup reminds people of childhood and simpler times (although we d be the first to say that whether simpler times ever really existed is arguable).

January March 2006 figures for Great Britain: www.statistics.gov.uk/StatBase/Product.asp vlnk 10675 &Pos &ColRank 1&Rank 192.

Mathematically, one can show that one would expect the result to be the difference between a low frequency signal and a high frequency signal: R(t ) G(t ) = G0 sin 2p G (t ) R0 sin 2p R (t ) = G0 R0 [cos 2p ( R (t ) G (t )) cos 2p ( R (t ) + G (t ))] 2

Introduction Table 6.2. Table of cars where Horsepower < 80 and Weight < 2500 Names Volkswagen 1131 Deluxe Sedan Chevrolet Vega (SW) Peugeot 304 Fiat 124B Toyota Corolla 1200 Datsun 1200 Volkswagen model 111 Plymouth Cricket Volkswagen type 3 Renault 12 (SW)

deception, and often think that they are not indicative of lying. As a result, on the one hand people associate several cues with deception that are in fact unrelated to deception, but, on the other hand, are unaware of several cues that are to some extent related to deception. One of the main reasons for the mismatch between objective and subjective indicators of deception is that people s views about cues to deception are too simplistic. People predominantly believe that liars will be more nervous than truth tellers and therefore will show more signs of nervousness. In previous chapters I have already discussed the fact that liars are not necessarily more nervous than truth tellers, and furthermore if a liar is nervous, he or she will not necessarily show more signs of nervousness. For example, liars may successfully control their behaviour and speech and, as a result, do not show such signs. Moreover, signs of nervousness may be absent because the cognitive load associated with telling the lie may automatically suppresses the occurrence of such signs. Box 5.1 More subjective cues to deception

This is the rst of three chapters which address physiological lie detection. Throughout history it has been assumed that lying is accompanied by physiological activity within the liar s body. For example, in 1000 B.C. the Chinese used to force suspected liars to chew rice powder and then to spit it out. If the resultant powder was dry then the person was judged to have been lying (Kleinmuntz & Szucko, 1984). There was a physiological basis for this assumption, as fear is associated with decreased salivation and a dry mouth (Ford, 2006). Nowadays other physiological measures are examined by scholars and practitioners, most frequently electrodermal activity (EDA, such as sweating from ngers), blood pressure, and respiration. They are typically measured simultaneously with an instrument called the polygraph (from two Greek words, poly = many, and grapho = to write). The polygraph is a scienti c measuring device that can display, via ink pens on to charts or via a computer s visual display unit, a direct and valid representation of various types of bodily activity (Bull, 1988). The polygraph records changes in EDA, blood pressure, and respiration accurately, and is able to measure even very small differences by amplifying signals picked up from sensors attached to different parts of the body. In the typical use of the polygraph, two metal electrodes, each placed on a nger, measure EDA; a blood pressure cuff placed around

The ShoppingCartClient application begins by obtaining a reference to each session bean using the lookup() method of the InitialContext() class. Next, it gets a reference to each bean's home interface. With the home interface, it can then create an instance of each bean, using this code from the application: