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In Hypothesis 5, we test the prediction of an inverted Ushaped relationship of worry to intention. We begin our exploration of this possibility with a graphical display. We initially focus only on the relationship between worry and intention, ignoring the potential contribution of bene ts. Figure 19.1 displays a scatter plot of worry versus intention. We have superimposed two lines on this scatter plot. First is the best- tting straight line from the regression analysis in Table 19.3, Panel B, Y = 3.10 + 0.21X. Second is a lowess smooth (Cleveland, 1979; Fox, 2000). The lowess smooth is a nonparametric line that follows the trend in the data. If the true relationship in the data is linear, then the lowess smooth should roughly approximate the straight line. Examination of the scatter plot indicates that the data are highly right skewed, with relatively few participants having worry scores above about 3 (see also Table 19.1, Panel A). The lowess line indicates that as worry increases up to about the value of 3.5, intention also increases. Above this point, intention begins to decrease consistent with the hypothesized curvilinear relationship, although we acknowledge the sparseness of the data (i.e., few data points) at the high end of the worry distribution. Figure 19.2 provides a scatter plot of the residuals from the regression equation Y = 3.10 + .021 WORRY against WORRY. Again a lowess curve is superimposed. The lowess curve highlights the curvilinearity to be modeled after the linear trend in the data has been removed. Polynomial Regression The lowess smooth in Figure 19.1 and in Figure 19.2 leads us to explore the curvilinear relationship further using a form of

The amount of liquid water therefore also decreases, to maintain equilibrium with the ambient RH (which requires that the ion concentrations in the particle remain about the same) [17, 88] At 315 K, all of the ions have transferred to the gas phase and no particulate-phase NH4 NO3 exists Equilibrium constants as a function of temperature for various species can be found in the literature (eg [14, 69])..

Whether the grandiosity of the NPD person is primary (as Kohut suggested) or the indirect result of defensive operations (as Kernberg argued), research confirms that NPD is characterized by a conscious perception of self as special and unique, along with a view of other people as inferior (Gabbard, 1994; Morf & Rhodewalt, 2001) A continuous stream of praise is required to prevent the narcissistic person from lapsing into depression, which results from the emergence into consciousness of underlying feelings of inadequacy (Rhodewalt & Morf, 1998) Narcissistic persons respond to even minor criticism with intense rage, denigrating those who criticized them in an effort to bolster their fragile self-image Reality testing is at least moderately impaired, especially in the domains of self-evaluation and social comparison, although studies indicate that narcissistic people are capable of reasonably accurate information processing in domains unrelated to self-evaluation and self-worth.

For this book, different retraction strategies implemented in Racer were compared Reloading of ontologies from a local web server can be accelerated by either loading from an image le (up to three times faster) or by cloning an ontology in memory (up to 70 times faster) For small extensional knowledge bases, cloning the ontology outperformed even the retraction of single axioms with forget statements (usually 80 times faster) However, it turned out that the fastest strategy was to keep situation individuals up to a certain number (about 20 in the tested case) before cloning a fresh pre-loaded extensional knowledge base (keeping individuals and axioms is possible only if they do not in uence later classi cations) Due to the lack of incremental classi cation algorithms, RacerPro still initiates a complete reclassi cation after each change in the ontology.

Initial empirical results [45], performed with an experimental version of Pellet, indicate that such algorithms for SHOIN(D) can be quite effective Without retraction support, the time needed to compute simple reasoning problems is easily dominated by the communication overhead caused by the reasoner interface For example, accessing RacerPro via its native API using TCP is about 15 times faster then via HTTP/DIG and even 2 times faster than the access realised with the triple-oriented framework Jena2 [20] The best performance can be achieved by using the Pellet reasoner running in the same Java virtual machine as the application itself, without the need for any external communication 414 Context Providers and Context Consumers Context Providers (CPs) act also as Context Consumers (CCs) for other CPs In addition, the reference applications in 7 are naturally Context Consumers The following are examples of CPs: Location Provider.

A combination of defenses including reaction formation and denial helps maintain the NPD person s inflated self-image and discount evidence inconsistent with the narcissistic illusion of importance and uniqueness (Gabbard, 1994)..