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located in different geographic locations. In such cases, it is very useful and important that users be able to access the data fast. Fault tolerance storing all data in one server can be very risky; one could essentially loose all the data in the event of a system failure. Of ine access in order to access and/or modify the data, it is much easier to do it off line with the local copy, rather than accessing the master copy for every change that occurs. As seen above, data are not in one server and one database, but rather in different servers and different databases and could even be in different geographic locations, and all servers need not be connected to the central server at all times, as shown in Figure 8.1. Since servers may be disconnected, and changes and actions made or taken during the disconnect state may be unknown to either side. Hence, for such a distributed setup of databases, synchronization between all the servers and their databases is of utmost importance to ensure that all changes and actions that have taken place on the data are exchanged and that the dataset among all servers are in the same state. Synchronization enables all the distributed copies of the central data store to remain consistent by communicating the changes between the copy and the central database and resolving con icts that may arise when changes contradictory occur on the same data of the database. As synchronization is very important for computers and the wired world, synchronization can also be viewed very important for mobile devices and the wireless world. This chapter explores content

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, depressive and anxiety symptoms) had a stronger relation with cardiac events, and may have accounted for much of the association between social support and cardiac events A later study by the same team evaluated a potential moderating effect for social support on the consistent association between depressive symptoms and cardiac mortality (Frasure-Smith et al, 2000) In this study, social support was not associated with cardiac mortality However, the interaction between depression and perceived support indicated that among patients with very low and moderate levels of perceived support, the impact of depression on a one-year prognosis was signi cant For patients in the highest quartile of perceived social support, there was no depression-related increase in cardiac mortality Further analyses evaluated whether the buffering effect of perceived support was produced by reducing depressive symptoms over time.

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Results supported this hypothesis: Among one-year survivors who had been depressed at baseline, higher baseline social support predicted improvements in depressive symptoms over the one-year post-MI follow-up period Future studies should more carefully control for potential covariates as well as elucidate potential mechanisms for support s impact on prognosis after MI Orth-Gomer and Unden (1990) have found a second potential factor that, combined with social isolation, predicts mortality among men post-MI In their study, the combined effects of lack of social ties and the coronary-prone behavior pattern were a better predictor of mortality than social isolation alone, explaining almost 70% of the mortality One study has linked social support with the incidence of and death from coronary artery disease among general populations of individuals who were not previously diagnosed with coronary artery disease.

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Rost, J (1991) A logistic mixture distribution model for polytomous item responses British Journal of Mathematical and Statistical Psychology, 44, 75 92 Rost, J (2004) Lehrbuch Testtheorie: Testkonstruktion [Textbook of test theory and test construction] (2nd ed) Bern, Switzerland: Huber Rost, J, & Carstensen, C (2002) Multidimensional Rasch measurement via item component models and faceted designs Applied Psychological Measurement, 26, 42 56 Rost, J, & Langeheine, R (Eds) (1997) Applications of latent trait and latent class models in the social sciences M nster, North Rhine-Westphalia, Germany: Waxmann Rost, J, & Strauss, B (1992) Recent developments in psychometrics and test theory German Journal of Psychology, 16, 91 119 Rost, J, & von Davier, M (1994) A conditional item fit index for Rasch models Applied Psychological Measurement, 18, 171 182 Rost, J, & von Davier, M (1995) Mixture distribution Rasch models In G.

Orth-Gomer, Rosengren, and Wilhelmsen (1993) measured emotional support from close relationships (labeled attachment) and social support by an.

matching principle, 13 materiality concept, 11 monetary unit principle, 9 objectivity principle, 12 13 time period principle, 10 Goal-setting and budget, 368 369 goal congruence, 552 social goals, 554 See also Financial goals Going concern principle, 9 Goodwill and investment decisions, 508 and sale of business, 84 Graphs breakeven analysis, 331 335 cost volume profit (CVP) method, 331 335 multipoint graph, 311 312 Gross margin/gross profit meaning of, 18, 19 See also Contribution margin Gross return on assets ratio, 155

Fischer & I Molenaar (Eds), Rasch models: Foundations, recent developments, and applications (pp 257 270) New York: Springer Roth, K (1982) Strukturanalyse koordinativer F higkeiten [Structural analysis of coordination abilities] Bad Homburg, Germany: Limpert Safrit, M J, Cohen, A S, & Costa, M G (1989) Item response theory and the measurement of motor behavior Research Quarterly for Exercise and Sport, 60, 325 335 Safrit, M J, Zhu, W, Costa, M G, & Zhang, L (1992) The difficulty of sit ups tests: An empirical investigation Research Quarterly for Exercise and Sport, 63, 227 283 Samejima, F (1969) Estimation of latent trait ability using a response pattern of graded scores Psychometrika Monographs, 34(4, Pt 2), 100 Schunn, C D, & Reder, L M (2001) Another source of individual differences: Strategy, adaptivity to changing rates of success Journal of Experimental Psychology: General, 130, 59 76.