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By using the methodology depicted in ROE(2), the investor can delve deeper into the underlying ROE number and see what is driving the

processed appropriately. It may be combined with other position data, and as a result, the platform decides whether a certain user event has become true. If so, it res a noti cation to the end user. Figure 13.5 illustrates the event processing. The location information emitted by the user s device is transmitted to the sighting proxy of the leaf server that is responsible for the geographical region covering the user s position. The whole processing of the position information is event-driven (see Figure 13.6). The platform only acts on whatever action triggers it. This could be the movement of an object, for example. If an event is de ned on a certain object, this means that the user wants to be noti ed when the object is inside a certain area. In this case, the event engine, which is the module designed to manage user events, registers with the underlying DB engine for the movement of the object. When the object moves, its sighting is received by the

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dA C 2 2 = 1 2 2 0:8

There are many methods for building both classi cation and regression models. The following section brie y describes a number of alternative approaches. More details on these approaches are referenced in the further reading section of this chapter. Multiple linear regressions: The method described for simple linear regression can be extended to handle multiple descriptor variables. A similar least squares method is used to generate the equation. The form of the equation is

The basic concept behind photography is now thought to go back a long way, perhaps even as far as the thirteenth century. One of the early in uences on Roger Bacon was a Bavarian priest, Albertus Magnus (later Saint Albertus), who spent much of his time teaching at the University of Paris. Just as Bacon became known as Doctor Mirabilis, so Albertus was given the title Doctor Universalis, the universal doctor, because of his interest in all of nature. It was he who was largely responsible for the dissemination of the ancient Greek scienti c texts, translated from the Arabic, an interest in the exotic that gained him a reputation as an alchemist and magician that he never managed to shake off. Many of the legends later attributed to Bacon, including the talking brass head, were originally stories about Albertus. Some sources suggest that Albertus was the rst to notice that chemicals with silver in them turned black when exposed to light (though this has also been attributed to

published research that may be relevant to their questioning techniques. I therefore encourage them to seek collaboration with social in uence, linguistic and eyewitness testimony researchers. Fourth and nally, I believe that fMRI research could enhance our theoretical understanding of deception and the detection of deception. fMRI researchers could strive to establish which brain structures and areas are associated with different types of lies. This is a laborious task because lies can be classi ed by so many dimensions (e.g., low- vs. high-stakes; spontaneous vs. rehearsed lies; outright lies vs. exaggerations vs. concealments, etc.) and all combinations of these dimensions are possible. (These three dimensions already result in 12 different types of lies.) Because different people may show different patterns of brain activity, different groups of individuals need to participate in such research. If brain activity pro les for different types of lie could be established, at least two further research activities appear relevant. First, it could be examined whether, and if so how, these neurophysiological brain activities relate to cues that are more easily accessible to lie detectors, such as psychophysiological cues (EDA, respiration, and blood pressure), speech-related cues, and behavioural cues (Happel, 2005). Second, as I will explain in the section below, lie detectors could employ interview protocols aimed at enhancing differences between truth tellers and liars. Researchers could design for each type of lie an interview protocol that creates the largest differences in brain activity between truth telling and lying. If brain activity is associated with psychophysiological, speech-related or behavioural cues, the larger the differences in brain activity between truth tellers and liars, the more likely it is that psychophysiological, speech-related and behavioural cues will discriminate between them.

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