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Bull, 2006; DePaulo & Friedman, 1998; Vrij, 2004b, 2006a) I label those differences intrapersonal differences First of all, the setting is important: (i) people react differently in formal settings, such as during a selection interview, than in informal settings, such as at home with the family; (ii) they also react differently when they are accused of wrongdoing than when they are unchallenged (Vrij, 2006a); and (iii) they show different behaviours when they are interviewed by different people (Vrij & Winkel, 1991) Moreover, behaviour is topic-related People respond differently when discussing a topic that embarrasses them than when discussing a neutral topic (Kleinke, 1986), and they respond differently when they discuss a topic they care about or is important to them than when they discuss a topic with which they have less personal involvement (Davis & Hadiks, 1995; Matarazzo, Wiens, Jackson, & Manaugh, 1970).

unauthorized individuals, entities or processes; Authentication: The provision of assurance of the claimed identity of an entity. In practice, authentication amounts to proof of claimed identity. Note that authentication is typically only possible after identi cation has occurred rst; Data integrity: Data must not be altered in an unauthorized manner; Non-repudiation: An entity cannot deny previous commitments or actions.

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Finally, people s behaviour sometimes changes over time in the same interview (Buller & Burgoon, 1996; Burgoon et al, 1999; Stiff, Corman, Krizek, & Snider, 1994; White & Burgoon, 2001), or, if they are interviewed on more than one occasion, changes may occur over repeated interviews (Granhag & Str mwall, 2002) Therefore, o when researchers wish to compare a person s deceptive nonverbal response with a truthful nonverbal response from the same person, they need to make sure that the deceptive and truthful responses are taken from the same interview setting; that the person talks about similar topics in the deceptive and truthful parts; and that these parts were discussed within a short period of time from each other As a result of the problems with obtaining video footage, eld studies about nonverbal cues to deception are sparse.

SNMP is a widely used set of protocols for monitoring the health of networks. SNMP is based on four major elements: (1) a network management station; (2) a network

Also, the deception eld studies that have been published are often of poor quality, because the researchers were not able to establish the ground truth satisfactorily, failed to select comparable truths, or due to a combination of these two problems An alternative to eld studies are laboratory studies In such studies, researchers ask participants, mostly university (college) students,6 to tell the truth or lie, and measure their nonverbal responses during truth telling and lying In the studies published to date, participants have told the truth or lied about many different topics For example, about a lm they just had seen, whether they had a certain object in their pocket, or their involvement in money that went missing In other studies they told the truth or lied about playing cards they were shown, the number of dots that appeared on a screen, their feelings about certain people, or some controversial issues..

<xsl:apply templates /> </xsl:element> </xsl:template> <xsl:template match="SPEECH"> <xsl:element name="speech"> <xsl:attribute name="speaker"> <xsl:value of select="SPEAKER" /> </xsl:attribute> <xsl:apply templates /> </xsl:element> </xsl:template> <xsl:template match="STAGEDIR"> <xsl:element name="stagedir"> <xsl:apply templates /> </xsl:element> </xsl:template> <xsl:template match="LINE"> <xsl:element name="line"> <xsl:apply templates /> </xsl:element> </xsl:template> <xsl:template match="P"> <xsl:element name="p"> <xsl:apply templates /> </xsl:element> </xsl:template> <xsl:template <xsl:template <xsl:template <xsl:template <xsl:template <xsl:template match="TITLE" /> match="SUBTITLE" /> match="SPEAKER" /> match="PLAYSUBT" /> match="PERSONAE" /> match="FM" />

These types of activation functions allow the neural network to develop nonlinear models. The sigmoid function will produce an output between 0 and 1 and the tanh function will produce an output between 1 and 1. Using the above example with the sigmoid activation function, the following output from the neural network node G would be generated: OutputG OutputG 1 1 e InputG 1 1 e 1:63

Table 9.2. Operators and their algebra. F v F v S 1 P z Q l2 F v z S a 1 F v S a Q b b P 2 F v l " 1 # 1 z Q b h i S 1 bz 1 h i P z 1 b 1 Q a2 b S a

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