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1 Crossbow Technology MPR2400 MICAz, from http://wwwxbowcom/products/ product_pdf_ les/wireless_pdf/6020-0060-01_a_micazpdf/, December 2004 2 See at http://wwwxbowcom/products/productsdetailsaspx sid 101 3 Crossbow Technology s MicaZ sensor mote, from http://gyroxbowcom/other/micaz_ newjpg, December 2004 4 See at http://wwwatmelcom 5 J Hill, R Szewczyk, A Woo, S Hollar, D Culler, and K Pister System architecture directions for network sensors In Proceedings of the 9th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOSIX), pages 93 104, Cambridge, Massachusetts, November 2000 6 I F Akyildiz, W Su, Y Sankarasubramaniam, and E Cayirci Wireless sensor networks: A survey Computer Networks, March 2002 7 C Intanagonwiwat, R Govindan, and D Estrin Directed diffusion: A scalable and robust communication paradigm for sensor networks In Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, pages 56 67, ACM Press, 2000 8 C Intanagonwiwat, R.

intensity (Hanin, 1997, 2000) As a result, the intensityimpact contingency for each idiosyncratic emotion generated by the athletes was created This study provided initial empirical support for a more detailed estimation of the interactive effects of different emotions on athletic performance Specifically, it was shown that being outside the optimal zones may indeed produce a less enhancing effect, or even have a detrimental effect (eg, an absence of motivation or energy), on individual performance Similarly, being out of the dysfunctional zones in performance-inhibiting emotions can be not only less detrimental but sometimes can even enhance individual performance effects (eg, an absence of fatigue or depression) Therefore, a more accurate estimation of total emotion impact on performance was possible, providing it was based on individualized intensity-impact contingencies developed by athletes for each emotion.

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the trait pedigree is the rst principal component, named the p factor of personality by Hofstee et al (1998), in analogy to the g factor of intelligence, and in distinction to Eysenck s (1992) psychoticism or P factor, which is intended as a lower level construct A family of models may be constructed by adding one principal component at a time Thus at the second level we have a circumplex or semi-circumplex; at the third a three-dimensional generalized one, and so on The Primordial One In search of superlatives over the Big Five and the giant three (Eysenck, 1992), primordial appears as a good label for the p factor That factor derives a mythical quality from its close association with desirability.

The development of intensity-impact contingencies is based on an athlete s awareness and ability to report his or her own experiences Additional research is needed to estimate how accurately athletes of varying skill and experience are able to do such estimations and how accurate are the predictions that are based on these contingencies A recent study by Robazza et al (in press) examined the perceived effect of idiosyncratic emotions and bodily symptoms on athletic performance along the entire emotion-intensity range The participants were 35 elite Italian athletes (16 females and 19 males) competing in either figure skating or gymnastics Idiosyncratic emotional descriptors were rated on Borg s Category Ratio (CR-10) scale to estimate the perceived impact on performance and hedonic tone for each level of emotion intensity range.

Govindan, D Estrin, J Heidemann, and F Silva Directed diffusion for wireless sensor networking IEEE/ACM Transactions on Networking, 11(1):2 16, 2003 9 J Agre and L Clare An integrated architecture for cooperative sensing networks IEEE Computer, pages 106 108, May 2000 10 F Ye, H Luo, J Cheng, S Lu, and L Zhang A two-tier data dissemination model for large-scale wireless sensor networks In Proceedings of the 8th Annual International Conference on Mobile Computing and Networking, pages 148 159, ACM Press, 2002 11 A Mainwaring, D Culler, J Polastre, R Szewczyk, and J Anderson Wireless sensor networks for habitat monitoring In Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pages 88 97, ACM Press, 2002 12 E Biagioni PODS: Interpreting spatial and temporal environmental information.

The findings revealed large interindividual variability in the content of emotions as well as in the shape of the curves representing the intensity-impact contingencies At the group level, the emotion-performance link was positively linear for optimal-pleasant emotions, bell-shaped for optimal-unpleasant emotions, and negatively linear for both dysfunctional-unpleasant and dysfunctional-pleasant emotions Future research should focus on how intensityimpact contingencies can be used in the estimation of total impact to predict individual performance By definition, emotion is an unfolding process (Folkman & Lazarus, 1985) Its dynamics involve two basic dimensions: context and time (Hanin, 1997) The context dimension is an environmental characteristic reflecting the impact of situational, interpersonal, intragroup, and organizational factors on emotion intensity and content in sport settings Emotional experiences of varying form, content,.

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