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Journal of Athletic Training, 35, 139 144 Henschen, K (1990) Prevention and treatment of athletic staleness and burnout Science Periodical on Research and Technology in Sport, 10, 1 8 Hinton, M (2002, September 8) Rugby knackered Auckland Sunday Star Times, p 18 Hume, J (1985) The burnout: The solution London: International Tennis Federation Kelley, B C, Eklund, R C, & Ritter-Taylor, M (1999) Stress and burnout among collegiate tennis coaches Journal of Sport and Exercise Psychology, 21, 113 130 Kelley, H H (1983) Love and commitment In H H Kelley, E Berscheid, A Christensen, J H Harvey, T L Huston, G Levinger, et al (Eds), Close relationships (pp 265 314) New York: Freeman Kentt , G, Hassmen, P, & Raglin, J S (2001) Training practices and overtraining syndrome in Swedish age-group athletes International Journal of Sports Medicine, 22, 460 465 Lazarus, R S.

, & Folkman, S (1984) Stress, appraisal and coping New York: Springer Leiter, M P, & Durup, J (1994) The discriminant validity of burnout and depression: A confirmatory factor analytic study Anxiety, Stress and Coping, 7, 357 373 Lemyre, P N, Treasure, D C, & Roberts, G C (2006) Influence of variability in motivation and affect on elite athlete burnout Journal of Sport and Exercise Psychology, 28, 32 48 Li, F, & Harmer, P (1996) Testing the simplex assumption underlying the Sport Motivation Scale: A structural equation modeling analysis Research Quarterly for Exercise and Sport, 67, 396 405 Lonsdale, C, Hodge, K, & Rose, E A (2006) Pixels versus paper: Comparing online and traditional survey methods in sport psychology Journal of Sport and Exercise Psychology, 28, 100 108..

geographic routing or sink tree for data dissemination and storage. Several researchers have stepped up in the protocol stack and considered the data transport issues. Research along this line can be roughly categorized into two tracks: one treats data transport in sensor networks as an optimization problem, with the objective of maximizing the amount of information (utility) collected at sinks, subject to constraints on ow conservation, energy, latency, and/or channel bandwidth; and the other designs a transport-layer protocol for congestion control and end-to-end reliability in wireless sensor networks.

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With the successful and timely completion of the school selection phase, the project team concentrated on mapping the next phases Emphasis was placed on the design and procurement phase leading to the implementation phase of the project Power distribution and dependencies were mapped as shown in Figure 207 The decision made to seek the cooperation of the University Technical Services was included However, monitoring and control of implementation on a maximum of 20 (17 after selected schools were announced) isolated (island) locations was not a simple task Regular monitoring was foreseen but for day-to-day updates, the project team had to depend on school principals and staff These dependencies were, also, mapped While studying the dependencies during the two successive phases, two stakeholders (the University and the Ministry of Education Personnel and Libraries) remained dominate, while the relation between the project and the (potential) subcontractors and the project.

Roomba is capable of some fairly complex moves. The most useful (and simplest) are those like that of a toy tank: forward, back, spin left, and spin right. These moves aren t the most elegant that Roomba is capable of, but they certainly do the job.

case that they are not missing at random except in special cases where data are missing by design (eg, participants are randomly assigned to complete different sections of a long survey) Although multiple imputation and FIML estimates may still be less biased than other procedures (Peugh & Enders, 2004), the evidence is unclear about how robust these procedures are in relation to different missing data situations In summary, there is no fully satisfactory solution for the applied researcher when data are not missing at random However, there have been dramatic changes in what is accepted practice in dealing with missing data, and new developments are likely to continue (see Enders, 2006) As minimum requirements, researchers should make explicit the extent to which there are missing data and provide a justification for the method they used to content with this issue.