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OLTP servers are interested in two types of events CONNECT events and READ events which represent incoming connections and transaction requests, respectively. Both front-end and back-end servers maintain a separate connection for each client, where clients of front-end servers are the so-called 'remote' clients and front-end servers themselves are clients of back-end servers. Each connection is a source of events that is represented in a server by a separate socket handle. Our OLTP servers use the select() event demultiplexer, which identifies handles whose event sources have pending events, so that applications can invoke I/O operations on these handles without blocking the calling threads.

The Texas data clearly suggest racial bias, but no results are available in Florida with the same speci cation. Follow the textbook advice and respecify by dropping Federal and rerunning the model for both Texas and Florida (these results are in both Tables 6.1 and 6.2). Note that the new results for black reveal a coef cient for Florida that is only a third of the size it was in Texas and only slightly larger than its standard error. Now the contrast with the previous results is striking: a substantial racial bias in Texas and no evidence of such in Florida. However, with this approach it is impossible to tell whether these interesting and divergent substantive results in Florida are due to omitted variable bias rather than true political and economic differences between the states. What can our analysis do One reasonable approach is to assume that the (unobservable) bias that resulted from omitting Federal in the Florida speci cation would be of the same degree and direction as the (observable) bias that

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The impulsive borderline is mixed with the histrionic or antisocial pattern. Unless constantly receiving attention, such individuals become increasingly seductive, impulsive, capricious, and irresponsible. Though most borderlines are famous for dysregulation of negative emotions, subjects with histrionic traits become even more behaviorally hyperactive and cognitively scattered, exhibiting a dysregulation of positive affects that includes frenetic gaiety, frantic gregariousness, and irrational and superficial excitement. At times, they lose all sense of propriety and judgment. Individuals with a stronger antisocial history become even more impulsive and thoughtless, both failing to plan ahead or heed the consequences of their actions as they struggle to free themselves from social constraints. At the borderline level, the strategies of the basic histrionic and antisocial patterns are simply much less successful than before. As such, they are likely to experience many disappointments, to go for extended periods of time without the security they crave, and to succumb to hopelessness and depression. The impulsive borderline is especially likely to have experienced the chaotic family (Linehan, 1993) or soap opera environment (Benjamin, 1996), which encourages drama, a desire for stimulus variety, and an intolerance of boredom. Many will have felt a sense of security and attachment only when their parents acknowledged some exhibitionistic performance or when their misbehavior was intense enough to stand out against the background noise of chaos and discord. Many were exposed to exhibitionistic parental

Figure 2.9: A generalization hierarchy. Figure 2.10 shows another generalization hierarchy, this time concerning figures. All figures have a drawing operation, which is redefined for each specialization. The figures also have the position attribute, which is protected (meaning that only those from the class itself and its specializations can use it). The note symbol shown as a rectangle with a bent corner in the upper right corner is used in the figure to comment on the subclasses draw( ) operation.

In this section, a couple of case studies are provided that examine examples from the literature, and contrast the use of formal policy con ict resolution computations with the approach suggested in this chapter. Example 1. The following example is derived from Charalambides et al. [2006], but has been modi ed somewhat to simplify presentation. The paper describes a policy-based management module, DRsM (Dynamic Resource Management) for an MPLS network that supports DiffServ Quality of Service (QoS) [Blake et al., 1998] and can dynamically adapt to varying traf c demands by adjusting bandwidth allocations for different traf c classes. Some of the relevant policies implemented in this system can result in the inconsistent con gurations con ict described earlier. As an example, the system includes the following policies for dealing with bandwidth allocation changes. When the upper threshold for bandwidth for a PHB (Per Hop Behavior) is exceeded

Finally, factors identi ed in the literature as potentially complicating the treatment of ADHD (and which therefore should be considered in designing treatment approaches) include parental stress and psychopathology, comorbidity, parental attributions of ADHD symptoms as internal and stable characteristics of the child, age of the child or adolescent, and poverty with its resulting lack of resources (Chronis et al., 2006; Daly et al., 2007). Treatment approaches must consider these factors in order to make interventions individualized rather than generic.

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