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, how many missed follow-up assessments) Either occurrence potentially compromises the scienti c integrity of the investigation Unambiguous interpretations of between-group differences rest upon the statistically legitimate assumption that random assignment results in groups that are identical on the host of known and unknown client characteristics that might affect outcome, thus holding these variables constant across conditions Consequently, large dropout or attrition rates undermine the likely validity of that assumption Separately, differential rates regardless of overall rate particularly reduce con dence in group equivalence, given that these groups are de facto different Although statistical comparisons between completers and noncompleters on.

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Instead of rephrasing traditional psychiatric categories in the language of modern theories, as several able psychopathologists had done, I sought [in Modern Psychopathology, 1969] to devise a new classification schema, one constructed from its inception by coalescing what I considered to be the basic principles of personality development and functioning. (Millon, 2002, p. 183)

Given the battery budget of b joules, the average number of transmission/ sleep cycles in the bottom cluster can be found as b S1 or 3or S2 or ET;bot 1 n8k Ibot os & 16:33

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Berzi n , A., A. H rman, J. Lund n, and H. Korkeala. 2007. Factors associated with Listeria monocytogenes contamination of cold-smoked pork products produced in Latvia and Lithuania. International Journal of Food Microbiology 115(2):173 179. Best, M., M. E. Kennedy, and F. Coates. 1990. Ef cacy of a variety of disinfectants against Listeria spp. Applied and Environmental Microbiology 56(2): 377 380. Carpentier, B., and O. Cerf. 1993. Bio lms and their consequences, with particular reference to hygiene in the food industry. Journal of Applied Bacteriology 75(6):499 511. Cords, B. R., S. L. Burnett, J. Hilgren, M. Finley, and J. Magnuson. 2005. Sanitizers: Halogens, surface-active

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tween the Fort Benton and Landusky stream gauges, includes constrained and unconstrained channel reaches that re ect a complex geologic history (Figure 5-4). For example, the preglacial Missouri River owed northeast from Fort Benton in a broad valley. Another preglacial valley carried ows northwest from the Judith River and Dog Creek drainages, which joined the Missouri north of Virgelle (Figure 5-1). Portions of these preglacial valleys were lled by drift during continental glaciation (Calhoon, 1906). The modern Missouri River intersects these preglacial valleys upstream of the Virgelle gauge and at the Judith River con uence. During the last glacial advance, the ow of the Missouri was diverted southward by the ice sheet, near Virgelle, into a relatively young, narrow postglacial valley that traverses the steep sandstone and shale badlands of the Missouri Breaks. Just above the Landusky gauge, the Missouri River encounters broad exposures of easily erodable bear paw shale near river level, and the valley widens again (Porter and Wilde, 1984). Where the course of the modern Missouri within the Wild and Scenic

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method in mobile client/server environments, Mobile Networks and Applications, 2: 115 127, 1997. Q. Hu and D. K. Lee, Cache algorithms based on adaptive invalidation reports for mobile environments, Cluster Computing, 1: 39 50, 1998. K. L. Wu, P. S. Yu, and M. S. Chen, Energy-efficient caching for wireless mobile computing, in 20th International Conference on Data Engineering, pp. 336 345, March 1996. M. Satyanarayanan et al., Coda: A highly available file system for a distributed workstation environment, IEEE Trans. Computers, 39(4): 447 459, April 1990. L. B. Mummert and M. Satyanarayanan, Variable granularity cache coherence, Operating Systems Review, 28(1): 55 60, January 1994. L. B. Mummert and M. Satyanarayanan, Large granularity cache coherence for intermittent connectivity, in Proceedings of the 1994 Summer USENIX Conference, June 1994. D. Barbara and T. Imielinski, Sleepers and workaholics: Caching strategies in mobile environments, Very Large Databases Journal, December 1995. S. L. Tong and V. Bharghavan, Alleviating the latency and bandwidth problems in WWW browsing, USENIX Symposium on Internet Technologies and Systems, 1997. M. Crovella and P. Barford, The network effects of prefetching, in Proceedings of INFOCOM 98, 1998. G. H. Kuenning and G. J. Popek, Automated hoarding for mobile computers, in 16th ACM Symposium on Operating System Principles, 1997. A. Kahol, S. Khurana, S. K. S. Gupta, and P. K. Srimani, An efficient cache management scheme for mobile environment, in Proceedings of 20th International Conference on Distributed Computing Systems (ICDCS 00), April 2000.

EXHIBIT 3.25 Fitch Risk Management Loan Loss Database: Distribution of Loan Recovery Rates Source: Fitch Risk Management Loan Loss Database. Data presented are for illustration purposes only, but are directionally consistent with trends observed in Fitch Risk Management s Loan Loss Database.

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