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Weller, E. B., 266 Weller, R. A., 266 Wellner, A. S., 336 Welsh, G. S., 238 Welsh, R. S., 449, 451 Wertheimer, M., 253 West, R. W., 440 West, S. G., 236 Weston, D., 14 Whalen, C. K., 337 Wheeler, M., 466 Whipple, J. L., 303, 304, 313, 314 Whipple, K., 305, 306 Whitaker, C., 65 White, J., 464 White, M., 134 Wicherski, M. M., 453 Widiger, T. A., 192, 193, 195 Wiens, A. N., 195, 557 Wigal, T., 337, 338 Wiggins, J. G., 448, 449, 450, 451, 458, 486 Wiggins, J. S., 242 Wilens, T. E., 337, 338 Wilfley, D. E., 95 Wilkinson, G. S., 229 Williams, C. L., 239 Williams, D., 345, 346 Williams, G., 105, 130 Williams, J. B., 193, 195, 578 Williams, L., 316, 337, 338 Williams, P., 368 Williams, R. E., 109, 473 Williams, W. M., 479 Williamson, G. M., 170, 172 Willis, D., 340 Wilner, N., 122 Wilson, D., 303 Wilson, E. O., 152 Wilson, G. T., 61, 62, 100, 101, 102, 103, 303, 456, 457, 459 Wilson, K. G., 469 Windle, C., 250 Windom, R. E., 325, 326, 328 Wingard, D. L., 457 Winker, M. A., 347 Wisocki, P. A., 486 Withers, G. S., 158 Wolfe, B. E., 307 Wolfe, D. A., 341 Wolff, E. N., 154 Wolpe, J., 61, 123, 125 Womble, L. G., 328 Wood, B. J., 420 Wood, J. M., 242, 245, 250, 253, 309 Woodall, K. L., 168 Woods, P. J., 313 Woody, G. E., 473 Woody, S., 15, 103, 456 Woolley, K. K., 445 Wright, B. A., 584 Wright, M. E., 584 Wrightsman, L., 352 Wuori, D., 367 Wurtzel, E., 437 Yalom, I. D., 63, 310, 317 Yamamoto, J., 329 Yates, B. T., 442 Yates, W. R., 307 Yehuda, R., 153, 163, 164 Yorkston, N. J., 305, 306 Yost, E. B., 466, 473 Young, K., 306, 434, 436 Young, M. E., 470 Young, S., 337 Zalewski, C., 245 Zametkin, A. J., 337 Zane, N., 306, 434, 436 Zaro, J., 46, 56 Zaylor, C., 438 Zhang, X. R., 437 Zhu, S. H., 326, 327 Zimet, C. N., 60, 70, 220, 459 Zinner, E. S., 449, 451 Ziskin, J., 250 Zubin, J., 155, 250 Zucker, R. A., 329 Zuehl, R. M., 154, 281, 282
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In this chapter, you worked through a quick overview of the most popular Gmail libraries available for the most popular scripting languages. As you have seen, the libraries are at varying stages of completeness and simplicity but are nevertheless extremely useful. In the next few chapters, you will use the Perl library to perform the basic Gmail functions and start to produce Gmail-based applications of your own.
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First, you need to determine the age and version of your current video-card drivers. Click the Start button in the lower-left corner of Windows. Click the Control Panel. (If you don t see this option, your Start menu is in classic mode. In that case, click Settings, and then select the Control Panel.) If the Control Panel is in category view, click the Performance and Maintenance category, and then click the System icon. If the Control Panel is in classic view, simply double-click the System icon. A window opens. Click the Hardware tab. Click the Device Manager button.
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However, this does not mean that the other protocols (beyond TCP/IP) are being
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TABLE 11.6 Fourteen Initial Muscle Groups and Procedures for Tensing in 18 Steps 1. Right hand and lower arm (have client make st, simultaneously tense lower arm). 2. Left hand and lower arm. 3. Both hands and lower arms. 4. Right upper arm (have client bring his or her hand to the shoulder and tense biceps). 5. Left upper arm. 6. Both upper arms. 7. Right lower leg and foot (have client point his or her toe while tensing the calf muscles). 8. Left lower leg and foot. 9. Both lower legs and feet. 10. Both thighs (have client press his or her knees and thighs tightly together). 11. Abdomen (have client draw abdominal muscles in tightly, as if bracing to receive a punch). 12. Chest (have client take a deep breath and hold it). 13. Shoulders and lower neck (have client hunch his or her shoulders or draw his or her shoulders up toward the ears). 14. Back of the neck (have the client press head backward against headrest or chair). 15. Lips/mouth (have client press lips together tightly, but not so tight as to clench teeth; or have client place the tip of the tongue on the roof of the mouth behind upper front teeth). 16. Eyes (have client close the eyes tightly). 17. Lower forehead (have client frown and draw the eyebrows together). 18. Upper forehead (have client wrinkle the forehead area or raise the eyebrows).
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The conclusion that equity and inequity are in the eye of the beholder does not only mean that various criteria of justice may be applied. Rather, subjects may view the values of their own contributions and bene ts in an entirely different way from the way they see the contributions and bene ts of others. A self-serving bias in appraisals of contributions and bene ts has been identi ed in a few studies (Lerner, Somers, Reid, Chiriboga, & Tierney, 1991; Schlenker & Miller, 1977). Therefore, justice con icts may also arise in cases in which all parties apply the equity principle (Montada, 2000). The Theory of Relative Deprivation Research on distributive justice was instigated by the concept of relative deprivation developed by Stouffer, Suchman, DeVinney, Star, and Williams (1949). These authors observed that soldiers satisfaction with the promotion system within their section of the army was not determined by their current position nor by the objective probability of promotion. (In fact, dissatisfaction was more prevalent in the air force than in military police although the air force had a higher promotion rate.) Rather, comparisons with similar others had a considerable impact on their level of satisfaction. They were dissatis ed when they felt that they were disadvantaged (deprived) in relation to similar others. Depending on the availability and the choice of comparison referents, people in the same objective situation may be either satis ed or dissatis ed. In most studies, the objective social situation correlates only weakly with feelings of personal deprivation. What are the circumstances leading to feelings of relative deprivation Crosby (1976) proposed ve necessary and suf cient preconditions that can be illustrated using the example of wages. A person must (a) see that someone else has a higher wage, (b) want to have this higher wage as well, (c) feel entitled to this higher wage, (d) think it is feasible to be paid a higher wage, and (e) lack a sense of personal responsibility for not receiving this higher wage. The denial of any personal responsibility for one s relatively disadvantaged situation is a necessary condition for feeling entitled to claim the wanted good. Feasibility can be de ned by using one of the postulates in Folger s referent cognition theory (1986): Resentment will occur when persons can easily imagine obtaining the wanted good, implying that they do not perceive any serious objective restrictions or barriers. If they do not, some actor or agency must be responsible for withholding the wanted good. Runciman (1966) has distinguished between egoistical (personal) and fraternal (group) deprivation. The latter
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1.6.1 DDBE Information Architecture
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13. Prosenjit Bose, Pat Morin, Ivan Stojmenovic, and Jorge Urrutia. Routing with guaranteed delivery in ad hoc wireless networks. In Proceedings of the 3rd ACM International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications (DIALM 99), pages 48 55, Seattle, Washington, August 1999. 14. K. R. Gabriel and R. R. Sokal. A new statistical approach to geographic variation analysis. Systematic Zoology, 18:259 278, 1969. 15. Brad Karp and H. T. Kung. GPSR: Greedy perimeter stateless routing for wireless networks. In Proceedings of the 6th ACM/IEEE Annual International Conference on Mobile Computing and Networking (MobiCom-00), pages 243 254, New York, August 2000. 16. Susanta Datta, Ivan Stojmenovic, and Jie Wu. Internal node and shortcut based routing with guaranteed delivery in wireless networks. In Proceedings of the IEEE International Conference on Distributed Computing and Systems (Wireless Networks and Mobile Computing Workshop [WNMC]), pages 461 466, Phoenix, Arizona, April 2001. 17. Fabian Kuhn, Roger Wattenhofer, and Aaron Zollinger. Asymptotically optimal geometric mobile ad-hoc routing. In Proceedings of the 6th International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications (DIALM-02), pages 24 33, New York, September 2002. 18. Fabian Kuhn, Roger Wattenhofer, and Aaron Zollinger. Worst-case optimal and averagecase ef cient geometric ad-hoc routing. In Proceedings of the 4th ACM International Symposium on Mobile Computing and Networking (MobiHoc 2003), pages 267 278, Annapolis, Maryland, 2003. 19. Fabian Kuhn, Roger Wattenhofer, Yan Zhang, and Aaron Zollinger. Geometric ad-hoc routing: Of theory and practice. In Proceedings of the 22nd ACM International Symposium on the Principles of Distributed Computing (PODC), pages 63 72, Boston, Massachusetts, July 2003. 20. Khaled M. Alzoubi, Peng-Jun Wan, and Ophir Frieder. Message-optimal connected dominating sets in mobile ad hoc networks. In Proceedings of the 3rd ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), pages 157 164, Lausanne, Switzerland, 2002. 21. Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, and An Zhu. Discrete mobile centers. In Proceedings of the 17th Annual Symposium on Computational Geometry (SCG), pages 188 196, 2001. 22. Yu Wang and Xiang-Yang Li. Geometric spanners for wireless ad hoc networks. In Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDCS 02), pages 171 180, July 2002. 23. Hannes Frey and Daniel Gorgen. Planar graph routing on geographical clusters. Ad hoc Networks, forthcoming. 24. Martin Mauve, Holger Fu ler, Jorg Widmer, and Thomas Lang. Position-Based Multicast Routing for Mobile Ad-Hoc Networks. Technical Report TR-03-004, Department of Computer Science, University of Mannheim, Germany, 2003. 25. Le Zou, Mi Lu, and Zixiang Xiong. Pager: A distributed algorithm for the dead-end problem of location-based routing in sensor networks. In Proceedings of the 13th International Conference on Computer Communications and Networks (ICCCN 04), pages 509 514, Chicago, Illinois, October 2004. 26. Volkan Rodoplu and Teresa H. Meng. Minimum energy mobile wireless networks. IEEE Journal on Selected Areas in Communications, 17(8):1333 1344, August, 1999.
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The symbol information value when Pi = 0 is mathematically unde ned. To solve this situation, the following condition is imposed: Ii = if Pi = 0. Therefore Pi log2 1 Pi = 0 (L Hopital s rule) if Pi = 0. On the other hand, Pi log 1 Pi = 0 if Pi = 1. Example 1.1: Suppose that a DMS is de ned over the range of X, A = {x1 , x2 , x3 , x4 }, and the corresponding probability values for each symbol are P(X = x1 ) = 1/2, P(X = x2 ) = P(X = x3 ) = 1/8 and P(X = x4 ) = 1/4. Entropy for this DMS is evaluated as
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