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The intent-to-treat-analysis did not reveal a signi cant difference in the level of response. There were signi cantly more drop-outs because of adverse medical events in the group with the active medication. These events included nausea, sedation and lightheadedness. Compared with the placebo group, a signi cantly greater percentage of uvoxamine-treated patients experienced insomnia, nausea and abnormal dreams. No serious medical events were observed. Sertraline, to a maximum of 200 mg/day, was signi cantly more effective than placebo in decreasing the frequency of binges, clinical global severity and the body mass index in a 6-week trial with 34 BED subjects (McElroy et al., 2000). Eight patients withdrew for several reasons. No patients withdrew because of an adverse medical event. More sertralinetreated patients (N = 7) than patients given placebo (N = 1) experienced insomnia. Among the patients who completed the study sertraline was associated with a higher response level than placebo, but the difference did not reach statistical signi cance.



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Method Signature void afterBegin() void afterCompletion ( boolean committed ) void beforeCompletion() Description The container invokes afterBegin to notify a session bean that a new transaction has started. The container invokes afterCompletion to notify a session bean that a commit or a rollback occurred. The container invokes beforeCompletion to notify a session bean that a transaction is about to be committed.

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Chicago Mercantile Exchange Annual Members Meeting, The Renaissance Chicago Hotel, Thursday, October 30, 1997.

The modi ers, such as not, very, and more or less on fuzzy subset A can be characterized as mnot A 1 mA mvery A mA mmore or less A mA

A good example of a sibling selector in the library example would be the following:





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Using these, the resulting Bayes predictive density based on Laplace s method (5.48) is shown in Figure 5.14. Notice that the approximation is adequate but not as good as that of other methods. The exact density is computed via brute-force simulation of the system using the same posterior distributions. It is based on 107 realizations of the system. A kernel density estimate gives the resulting density. Note that such exact simulation is possible only because we have no censored or missing data. While the owgraph of Figure 5.13 may appear complex, the waiting time distributions are simple and hence we can attempt to use Laplace s method. The method can be made to work on simpler owgraphs with other distributions, but it requires speci c ne tuning to the problem at hand. Hence we prefer alternative methods that are applicable more generally. 5.2.4 Slice Sampling Our aim with owgraphs is to have a method that is globally applicable, a method that will work well for most owgraph models. Many of the methods discussed previously can be ne-tuned to work for speci c owgraphs and can work very well in those instances. However, our goal is to minimize the effort on the part of the user to sample from the posterior and to have a method that easily extends to each owgraph model and data set. In general, with owgraph models, we

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Organometallic Compounds of Biological Importance Electrochemical properties of porphyrins and metalloporphyrins in non-aqueous solutions have been studied extensively in order to elucidate their biological functions. Various books and review articles have appeared on this subject [33]. Metalloporphyrins have three active sites, at which electronic changes may occur by electrode reactions. (i) As shown by the cyclic voltammogram in Fig. 8.9, a metalfree porphyrin is reduced in two steps, forming its radical anion and dianion, and is also oxidized in two steps, forming its radical cation and dication. Metalloporphyrins of Zn(II) and Mg(II) also give cyclic voltammograms as in Fig. 8.9, because Zn(II)and Mg(II) are electrochemically inactive. Information on the electronic properties of porphyrins can be obtained from Fig. 8.9: for example, the potential difference between the first reduction step and the first oxidation step is 2.22 V and corresponds to the energy difference between the LUMO and the HOMO of the porphyrin. (ii) If the metalloporphyrin contains a metal ion that is electroactive, the electronic change can occur also at the central metal. (iii) If the two axial ligands, i.e. the fifth and sixth ligands, are electroactive, electronic change can occur there. For details of electrochemical studies of metalloporphyrins, see Ref. [33]. Stabilization of Low-Valency Complexes The ligand of a metal complex and the solvent molecule compete with each other, as Lewis bases, to interact with the central metal ion. At the same time, the metal ion and the solvent molecule compete with each other, as Lewis acids, to interact with the ligand. Thus, the behavior of a metal complex is easily influenced by the Lewis acid-base properties of solvents. In an aprotic solvent, which is of weak acid-

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