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where we have used u2 = 1after performing the differentiationof P ( u )with respect to u. For an arbitrary function A(u),we have on the one hand

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Then wocoincides with the desired unknown c. This is because if we multiply (10.17) by ut from the left and take expectations, we find that



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vidually successful and poor performances A working definition of experience includes the totality of past and present characteristics that determines the particular quality of a person s performance (Hanin, 2003) In the sport context, there are three interrelated types of performance-related experiences: state-like experiences, or emotional states, as a component of situational, multimodal, and dynamic manifestations of total human functioning; traitlike experiences, or relatively stable emotion patterns (emotionality, dispositions, qualities) reflecting a repeated nature of athletic activity; and meta-experiences (awareness, attitudes, preferences/rejections of one s experiences; Mayer & Stevens, 1994), which are lessons learned or reflected experiences in successful and less than successful performances (Hanin, 2004) In contrast to situational states and repeated patterns of experience, meta-experiences reflect how an athlete feels about his or her past, present, or anticipated emotional experiences and the perceived effects of these emotional experiences on performance or general well-being.





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of n events occurring in [0, t) in a are Poisson probabilities, i.e., Q(Xt; n) is the probability Poisson process with rate X. Of course, we still deal with a Taylor series approach here; however, the involved P-matrix is a probabilistic matrix with all its entries between 0 and as we will mass of 1, as are the Poisson probabilities. discuss below. Equation Hence, this Taylor series behaves nicely , as follows. At time t, the probability

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For instance, an athlete may feel nervous and uncertain prior to a competition That characterizes his or her situational emotional state as triggered by a specific meaning of the particular situation for this athlete On the other hand, feeling nervous can be a typical (repeated) pattern of this athlete s emotional response in similar situations Therefore, in this particular case, trait competitive anxiety would indicate how often the athlete experiences elevated anxiety and feels nervous, tense, or apprehensive prior to or during competition However, an athlete s meta-experience (attitude to experiencing a high level of competition anxiety and awareness of its helpful or harmful effects on performance) is even more important to estimate Meta-experiences are formed when athletes (and coaches) spontaneously and deliberately reflect on the conditions leading to their successful, and less than successful, performances.

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Suppose that the network in Fig. 3.4 has the following parameters: IA = I rnA, R, = 12 kll, R, = 6 kll, In = 4 rnA, and R3 = 6 kll. Let us determine all node voltages and branch c urrents. For purposes of illustration we wi ll solve this problem using Gaussian elimination, matrix analysis, and MATLAB. Using the parameter values Eq. (3 .2) becomes

Meta-experiences determine an athlete s perception and a choice of coping and self-regulation strategies, and therefore should be a major target of interventions Interestingly, most research in sport psychology during the past 2 decades has focused mainly on situational emotional states (such as competition anxiety) and relatively stable emotion patterns (eg, trait anxiety) Meta-experiences in sport, although undefined as a separate parameter (Hanin, 2003), were actually implied in the assessment of optimal and dysfunctional zones of emotion intensity (Hanin, 1978, 1986; Hanin & Syrj , 1995) and in the ratings of directional anxiety (or perceived impact) on performance (Jones, 1995) On the other hand, in practice, emotion regulation is often based on reframing an athlete s attitude toward specif-.

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