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1. North American Social Technographis Online Survey, Forrester Research, January 7, 2008. 2. Survey quoted in Forrester Research study, Interactive Marketing Data Overview, US 2007, February 26, 2008, p. 3. 3. Faves.com survey quoted in Elisabeth A. Sullivan, Be Sociable, Marketing News, January 15, 2008, p. 15. 4. S-Commerce: Beyond MySpace and YouTube, Spark, October 2006, p. 5, www.compete.inc.com/research/spark. 5. Lego Ambassadors. http://www.lego.com/eng/info/default.asp page=ambassadors.

... <ejb-jar> <entity> <ejb-name>Account</ejb-name> <local-home>examples.AccountHome</local-home> <local>examples.Account</local> <ejb-class>examples.AccountCMPBean</ejb-class> <persistence-type>Container</persistence-type> ... ...

An entire industry of specialist companies has sprung up to help if you choose to go outside for expertise in promoting your community. Type search engine optimization into Google and you ll get more than 28 million results, with eight sponsored links (today, anyway). Google itself offers a wealth of free advice, but many consultants and agencies are ready to help. Interestingly, the company at the number 99 spot in my current Google search is PrairieWeb Internet Marketing, a Chicago rm that specializes in search engine optimization (SEO) and related services. A skeptic might wonder why there are 98 SEO results ahead of it. On the other hand, it s not at the number 1,000 spot.

1 Preheat the oven to 350 degrees Fahrenheit (175 degrees Celsius). 2 Place the water in a large pot and bring to a boil over high heat. Add the macaroni to

Equations (16.7a) and (16.7b) are essentially the same as Equations (16.2a) and (16.2b) but Equations (16.7c) (16.7f) introduce a number of new issues. First, Equations (16.7c) and (16.7e) will pick up any between-cohort variation in mean attainment or in the mean slope or both, provided that the scaling method used has not

Temperature ( C) 200 240 280

You need to compile the server source files and the client source files using javac or another standard compiler. In this case, all the files sit in the same directory, and so you can navigate to that directory and just type in javac *.java from the command line. This generates the four class files: Greeter.class, GreeterImpl.class, GreeterMain.class, and WelcomeGuest.class. Now run the RMI compiler on the GreeterImpl class file using the following command:

COMPLETE EXAMPLE CONFIGURATION FILES (IOS AND JUNOS SOFTWARE)

The independent variable is d1 . Setting dLp =dd1 0 yields n1 d1 h2 1 which is the same as n1 sin y1 n 2 sin y2

exp(i z, x ) (dx),

Compile and run this file, and you will see a listing of the contents of SampleStories2.xml in the console window with one important change. The value of the final <estimate> element will have been changed from 1 to the calculated value of 4.

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Figure 7.8 Position error in test2 (RAW+HA)

The nal two chapters of this book are about pitfalls and opportunities in lie detection. In 15 I discuss the opportunities and elaborate on how people could improve their lie detection skills. In this chapter I focus on the pitfalls and outline why people fail to catch liars (see also Vrij, 2004a,b, 2007). Although most of the 15 reasons why people fail to detect deceit have already been discussed throughout this book, in this chapter I present them in a more systematic manner. To reduce repetition, I discuss each brie y and refer to the relevant chapters for more information. I believe that the reasons why lies remain undetected can be clustered into the following three different categories (Vrij, 2007): (i) a lack of motivation to detect lies; (ii) dif culties associated with lie detection; and (iii) common errors made by lie detectors.

The proof of (1.4) follows immediately from the fact that the right-hand side is a -algebra containing C. Equation (1.4) says that a subset of RT is a Borel set if and only if it depends only on a countable set of parameter values. Hence, if T is uncountable, the set {g RT : g is a bounded function} or {g RT : g is a bounded function, |g(t)| 1 for all t T } does not belong to (C). Another simple example is the following: If T = [0, 1], then {g RT : g is a continuous function} is not a Borel set in RT , since it is obvious that there does not exist a countable subset of [0, 1] having the determining property in (1.4). These examples lead to the notion of separable process that we introduce later. 3. In the special case when = RT , A = (C), and X(t)( ) = (t), {X(t) : t T } is called a canonical process. 4. We say that the stochastic process {Y (t) : t T } is a version of the process {X(t) : t T } if P(X(t) = Y (t)) = 1 for each t T .