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Thus, ego-oriented athletes consider practice as a means to demonstrate competence relative to other athletes, whereas their task-oriented counterparts view practice as a means to foster team cohesion and skill development (Lochbaum & Roberts, 1993; Roberts & Ommundsen, 1996) When choosing post-climbing task feedback strategies, high ego-oriented climbers who were low in perceived ability were more likely to reject task-related and objective performance feedback than were task-oriented climbers (Cury, Sarrazin, & Famose, 1997) In addition, Cury and Sarrazin (1998) found that high-ego and high-ability athletes selected normative feedback and rejected task-relevant information High-ego-oriented athletes with low ability requested no feedback and discarded objective.

Illustrated TCP/IP by Matthew G. Naugle Wiley Computer Publishing, John Wiley & Sons, Inc. ISBN: 0471196568 Pub Date: 11/01/98

An aerosol particle may consist of an aqueous phase at high RH, one or more solid phases at low RH and both aqueous and solid phases at intermediate RH [41] This phase variability is highly dependent on the aerosol composition, ambient conditions and in some cases the size of the particle At low RH, where equilibrium thermodynamics can dictate that the aerosol of an assumed composition remains in an anhydrous state, adsorption may occur at the surface Adsorption behaviour is a complex process, leading to the formation of monolayers and often multilayers (for more information, see eg [42 44]) As an anhydrous particle is subject to increasing RH, there may be a transition whereby it starts to take up water through absorption, that is the deliquescence point.

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we would expect thread A and thread B to be able to continue their executions successfully without any interference or unintentional interaction between the threads. Writing reentrant code is certainly possible to do, but it is not always easy to do or practical to attempt for all scenarios. Implicitly, reentrant code cannot use any static or global variables (constants are allowed, but not variables). This also means that reentrant code cannot obtain any locks or use any singleton resources (e.g., it cannot write to the same, speci c le). Lastly, for obvious reasons, reentrant code cannot call any nonreentrant code. We must be very careful whenever we modify a piece of reentrant code adding a single call to a nonreentrant method can destroy our reentrancy! Therefore, when working with reentrant code, it is very important to maintain a list of all the COSs and methods that it calls. It is equally important to maintain a list of all the callers for a particular piece of reentrant code. This can often be done automatically by the development tools and integrated development environment (IDE).

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Predicting the deliquescence point of an aerosol particle usually involves identifying the RH at which the dissolved salt droplet is at a lower Gibbs free energy than the solid particle However, this neglects the in uence from the energetics of the surface air interface, the possible in uences discussed brie y in Section 610 After deliquescence, water uptake is determined by condensation and maintenance of thermodynamic equilibrium As the RH increases further, a maximum supersaturation of water vapour is attained where water molecules continue to condense on the droplet in an unstable state, unlike the regime determined by lower supersaturations At this point, the aerosol particle is said to have been activated and it starts growing rapidly K hler [45] was the rst to theoretically describe this o behaviour, the resulting environment curve analysed in Section 6102.

Water may exist in bound or unbound states, although unbound water represents that mostly associated with aerosol particles [14] Bound water, or water of hydration, is water chemically bound to the salt Unbound water and its concentration are governed by thermodynamic equilibrium This may occur due to changes in ambient RH or to condensation and evaporation of solutes..

and apparently disconnected from the rest of the scores. The z-score (standard normal) distribution is used to assess the distance of a raw score from its mean. In Equation 5.5, Y is the raw score, Y is the mean, and s N 1 is the unbiased estimate of the standard deviation: z= Y Y s N 1 (5.5)

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