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1400 1200 1000 800 600 Eh (millivolts) 400 200 0 200 400 600 800 Water reduced 1000 0 2 4 6 pH 8 10 12 14

The databases used by the application processor and each data processor need to be created before these applications can be run All of the runtime details can be speci ed in the properties les for each subsystem The default deployment con guration speci es that all of the subsystems be deployed on a single machine If we want to move a subsystem to a different machine, or deploy a new subsystem instance, we simply need to update the table found in the GDD database Similarly, if we want to add another Hub to the environment, we simply deploy the JMS Provider instance and update the data in the GDD database to re ect the nodes that are located in that Hub 1542 Creating New Extensions.

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As indicated, water-washing is also applied at the end of the dressing process (postevisceration), following zero-tolerance inspection, before carcass-chilling. Typically, carcass-washing may take place manually with hand-held hoses in small operations or by automated spraying systems in cabinets (Anderson et al. 1981), in which the nozzle type and con guration, and the spraying pressure determine the droplet size and temperature of water as it hits the carcass surface (Bacon 2005). The main objective of nal carcass-washing is to improve the appearance of the carcass by removing blood and sawdust generated during carcass-splitting.

two-class model would have to contain three latent classes, one with probability of membership xed at zero Because zero is a boundary value, these two models are not nested Various model selection information criteria have been proposed for comparing models with different numbers of classes, including the Akaike information criterion (AIC; Akaike, 1974) and the Bayesian information criterion (BIC; Schwarz, 1978) The AIC and BIC are penalized loglikelihood test statistics, where the penalty is two times the number of parameters estimated for the AIC and the log of N times the number of parameters estimated for the BIC Results of a simulation study conducted by Lin and Dayton (1997) suggest that, although the AIC performs better than the BIC and the Consistent AIC (CAIC) (Bozdogan, 1987), the AIC tends to select models that are more complex than the true model.

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psychological distress and dysfunction in the child patient and/or the family. The child health psychology literature has contributed directly to all of these concerns. What appeared to be missing were models for explaining how research and clinical care could be linked in a comprehensive, effective, yet cost-effective, approach. Any target patient group, whether broad (e.g., all patients at a children s hospital, all patients followed in an outpatient pediatric practice) or narrow (e.g., patients seen by a subspecialty clinic such as oncology, cardiology, adolescent medicine) includes individuals representing a range of psychological functioning. We have conceptualized three general categories to describe children s and families responses to child health crises. We further link these categories to proposed levels of psychological care. These correspond to NIMH prevention categories of universal, selective, and indicated care, which is illustrated under each description and graphically shown in Figure 19.2. Universal Interventions Most families maintain well-being by coping adaptively with the disruption and distress associated with childhood chronic illnesses. For example, in childhood cancer, psychological adjustment improves over the rst 12 to 18 months after diagnosis, irrespective of whether an intervention is provided (Kazak, Penati, Brophy, & Himelstein, 1998), and psychological adjustment of children treated with heart transplantation improves after the rst year posttransplant (Todaro, Fennell, Sears, Rodrigue, & Roche, 2000). These children and families were most likely functioning within normal

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