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circle. One of the most important of these is complementarity. According to Kiesler (1983, p. 198), Our interpersonal actions are designed to invite, pull, elicit, draw, entice, or evoke restricted classes of reactions from persons with whom we interact, especially from significant others. Every interpersonal bid is intended to implicitly exclude invalidating responses those incongruent with how we would like others to see us and implicitly include only validating responses those that confirm the self-presentation. If each party in the interpersonal process successfully controls the response class of the other, the needs of each participant are mutually satisfied. On the other hand, responses that are irrelevant or inconsistent with the self-presentation are likely to be ignored or to arouse insecurity and tension. On the interpersonal circle, behaviors are considered complementary when they are opposite on the vertical axis control or similar on the horizontal axis affiliation. Translated into everyday language, dominance pulls for submission and submission pulls for dominance. However, friendliness pulls for friendliness, and hate pulls for hate (Carson, 1969; Kiesler, 1983).

The simplest way of avoiding the bounding problem is to truncate any illegal value generated by perturbations to the constraint, but this introduces mass at the boundary points..

4.6.2 Nonexcited Elements Short Circuited If the nonexcited elements are short circuited (as opposed to open circuited, as shown in Figure 4.6), then (4.53) will not yield the correct solution for active impedances of the elements, because the short-circuited elements will have induced currents at the input ports. In this situation the admittance matrix formulation would simplify the finite array analysis. The admittance matrix elements would be the same as the mutual admittance in an infinite array environment, given in (4.50). The relation between the input voltage vector and input current vector is I = Y V (4.54)

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The primary problems with these programs seem to be those involving the human interface. The time it takes to run the program and listen to the samples combined with the relative dullness of the samples mean that the users rapidly get tired and bored. This means that the programs need to be built to generate the samples relatively quickly, the samples need to be relatively short, the samples need to develop and evolve to be interesting quickly and of necessity the population size must be small.

This section describes a policy-driven self-healing strategy for MANETs. The basic idea is simple and has been discussed in earlier parts of this book: Policies are used to de ne responses that should be taken by the network management system to address a given root cause. Thus policies are used to tie together the monitoring aspect of the network management system (via fault

Kannan, R., 264, 277 Karlin, S., 121, 283 Karsenty, H., 102, 103, 290 Kass, R. E., 72, 284 Kelley, C. T., 97, 98, 202, 284 Kelley, T. L., 4, 284 Kendall, W. S., 264, 284 Kennard, R. W., 174, 281 Kennedy, W. J., 32, 91, 130, 141, 284 Keyes, D. E., 268 Khaliq, M. H., 99, 288 Kiang, M. Y., 102, 298 Kimball, D. C., 180, 189, 190, 191, 195, 196, 271 Kincaid, D., 92, 285 King, G., 5, 6, 11, 18, 87, 102, 143, 145, 160, 162, 177 179, 180, 181, 182, 186 191, 194 197, 253, 256, 267, 269, 277, 278, 284 Kinoshita, T., 2, 280 Kiri, A., 202, 271 Kirkpatrick, S., 100, 284 Kiskis, D. L., 256, 267 Kit, E., 23, 284 Kitagawa, G., 72, 284 Klein, S. P., 178, 277 Klepper, S., 116, 284 Kleppner, D., xv, 284 Kn sel, L., 58, 59, 60, 64, 285 u Knop, R. E., 130, 282 Knuth, D. E., xv, 23, 24, 32, 36, 56, 136, 285 Kocher, P., 39, 283 Ko er, M., 94, 285 Kotz, S., 275 Krasny, R., 94, 268 Krawczyk, H., 130, 285 Kreps, D. M., 282 Kresnow, M., 2, 285 Krogh, F. T., 92, 285 Kronmal, R. A., 116, 130, 285, 299 Krot, M., 256, 267 Krug, E. G., 2, 285 Krzanowski, W. J., 175, 285 Kuan, C. M., 100, 102, 285 Kuh, E., 72, 269 Kurshan, R., 22, 272 Kutner, M. H., 20, 292

n (RF harmonic number)

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The history of every science may be said to include a prescientific natural history phase, where the main questions are, What are the essential phenomena of the field and How can we know them Ideally, as more and more data are gathered through increasingly sophisticated methodologies, common sense begins to give way to theoretical accounts that not only integrate and unify disparate observations, but also actively suggest directions for future research. The existence of black holes, for example, is predicted by the theory of relativity, and the accumulated evidence of several decades now suggests that one or more black holes exist at the center of every galaxy. No one will ever smell, taste, touch, hear, or see an actual black hole. Because

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