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What does this style sheet do 1. It formats all the BODY elements with a light yellow (#000040) background and dark gray (#FFFF9F) text using a font of Book Antiqua or, if that font is not available, Times New Roman or, if that is not available, any serif font, and it sets padding on the page of one inch. 2. It formats not-yet-visited links (A:LINK) to fuchsia (#FF00FF). 3. It formats visited links (A:VISITED) to gray (#808080). 4. It formats blockquotes to have one-inch left and right margins, which the browser would add to the one-inch padding already defined in the BODY element. 5. It formats all horizontal rules to be two pixels tall. 6. It gives paragraphs a half-inch indentation on the first line. 7. It creates a paragraph class called double (P.double), which has the same half-inch indentation on the first line, but also includes double-spacing of text (line height: 24pt). 8. It also creates a SPAN class called highlight (SPAN.highlight), which will have a text color of navy blue (#000080) and a background color of bright yellow (#FFFF00).

We recommend that for digital links, an additional 2 dB of fade margin be added to the Rayleigh values to compensate for path anomalies which could not be handled by automatic equalizers. The most common cause of fading is called multipath. Refer to Figure 9.14. As the term implies, signal energy follows multiple paths from the transmit antenna to the receive antenna. Two additional paths, besides the main ray beam, are shown in Figure 9.14. Most of the time the delayed signal energy (from the re ected/ refracted paths) will be out of phase with the principal ray beam. These out-of-phase conditions are what cause fading. On digital links we also have to concern ourselves about dispersion. This is delayed signal energy caused by the multipath conditions. Of course, the delayed

Here we de ne quasi-stationary to mean that the network devices move slowly compared to the speed of network operation Note that, unlike many other types of networks, the assumption that all network devices generate new frames at the same average rate is often not a good one for wireless sensor networks, which may have very asymmetric data-generation patterns The transmissions of some devices, in fact, may consist entirely of acknowledgment frames (devices that are data sinks), while other devices may generate the majority of network traf c (devices that are data sources) This network heterogeneity can be used to advantage in MAC algorithms There is a subtle yet important distinction between medium-access protocols and multiple-access protocols Multiple-access protocols solve the MAC problem, but in addition attempt to service multiple simultaneous communication links [5].

This, of course, requires multiple logical channels, so the MAC problem becomes one of optimally sharing multiple communication media in a way that meets the needs of the network application Multiple-access protocols are therefore a subset of the set of medium-access protocols..

Solomon, R L, & Corbit, J D (1973) An opponent-process theory of acquired motivation: Pt II Cigarette addiction Journal of Abnormal Psychology, 81, 158 171 Sonstroem, R J (1984) Exercise and self-esteem Exercise and Sport Science Reviews, 12, 23 155 Sonstroem, R J (1998) Physical self-concept: Assessment and external validity Exercise and Sport Science Reviews, 26, 133 164 Sonstroem, R J, & Potts, S A (1996) Life adjustment correlates of physical self-concepts Medicine and Science in Sports and Exercise, 28, 619 625 Sparling, P B, Giuffrida, A, Piomelli, D, Rosskopf, L, & Dietrich, A (2003) Exercise activates the endocannabinoid system Neuroreport, 14, 2209 2211 Spence, J C, McGannon, K R, & Poon, P (2005) The effect of exercise on global self-esteem: A quantitative review Journal of Sport and Exercise Psychology, 27, 311 334 Spirduso, W W (1980).

atively small number of trials and untrained individuals (novices) are used as participants Such approaches have proven useful in addressing such issues as variability of practice (eg, C H Shea & Kohl, 1991), distribution of practice (eg, Stelmach, 1969), segmentation and fractionation of practice (eg, Wightman & Lintern, 1985), and transfer and contextual interference (eg, Lee & Magill, 1983; J B Shea & Morgan, 1979) for the learning of new skills (see Lee, Chamberlin, & Hodges, 2001, for a comprehensive review) and have also helped to determine the nature of the relationship between the quantum of practice and performance One of the most salient relationships in the behavioral sciences is the positive association between time spent in practice and improvement in proficiency.