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functionality-to-dysfunctionality ratio reflecting interactive effects of different emotion effects CONCLUSION The main purpose of this chapter was to review selected issues and perspectives with a focus on defining characteristics, antecedents, and consequences of emotional experiences related to athletic performance The emphasis on basic emotion dimensions (form, content, intensity, and partially time and context) seems especially appropriate It provides conceptual and methodological tools to describe, predict, and partly explain situational emotional experiences and meta-experiences related to athletic performance From the applied perspective, the major advantage of the individualized approach to studying emotion-performance relationships is in its ability to describe and explain findings that are often missed or ignored in group-oriented models The resource-matching hypothesis was proposed to explain intra- and interindividual variability of optimal and dysfunctional emotion experiences Future research may focus on relatively stable emotion patterns and meta-experiences that explain idiosyncratic preference in appraisals and coping processes.

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There is ample empirical evidence that unpleasant emotions such as anxiety, anger, and tension are often situationally helpful for athletic performance Such strong unpleasant emotions can help generate more energy and sustain effort; they often can compensate for a situational lack or depletion of needed resources, for instance, in the case of extreme fatigue These emotions, if well channeled in the task process, can substantially postpone fatigue, sustain alertness, and maintain the right focus In other words, coping with competitive stress involves not only alleviating it, but also using it to enhance performance There is also evidence that pleasant emotions are not always beneficial for performance, especially in sports requiring sustained focus, effort, and persistency for a relatively long time Excessive complacency and satisfaction following unexpected or repeated successes can present a special problem in high-achievement settings because of the de-motivational impact.

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R2 is the same value as X. Thus, the outcome of a sequence of two XORs using the same value produces the original value. To see this feature of the XOR in ...

At rst glance, the DNET-SKIT looks very similar to the J2EE-SKIT. This should not be surprising, since they are both attempts to implement an extensible framework for distributed database environment component and subsystem development! However, even at the architectural level, there are some subtle differences we will not perform

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s you work with your digital images, often you ll discover that you simply have to change a key dimensional characteristic of your image to get it looking just right. You may want to change the width and/or height, crop your image, adjust its resolution, or even add additional canvas to the image. Or you may want to change the dimension of your image by combining multiple images together into a panorama view. All of these changes can be done in Photoshop with near-zero fuss and minimal damage to your images. One of the keys to reducing the complexity of the dimensional makeover process as well as minimizing image damage, including softening and reduction of image details is to have a clear understanding of what is happening in your image when you adjust its dimensions. Some dimension adjustments involve changing the actual number of pixels in your image. If you are simply adding canvas area, and therefore pixels, you won t get any interpolation and therefore no image damage. But if you are adjusting the number of pixels in an image through the Image Size dialog box, then interpolation and with it image quality degradation will occur. And if you know interpolation is bound to occur, you can at least reduce the number of times it does occur and therefore reduce the negative impact of that interpolation. So, you ll definitely want to have a clear understanding of your image s starting condition, your final destination, and what will be happening to your pixels along the way. To help you get a handle on all these nuts and bolts of dimensional makeovers, this chapter goes over the key distinctions between image size and dimension as well as linear and square resolution.

Moreover, high selfconfidence can sometimes lead to excessive complacency and underestimation of an opponent, resulting in insufficient alertness, lack of focus, or carelessness and too much risk taking These, in turn, can have harmful effects on performance, often leading to unexpected and season-ending injuries (Devonport, Lane, & Hanin, 2005; W rth &.

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