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I was at an international conference on Organizational Learning and had taken part in discussion of a paper presented by a colleague from a university in a developing country which empirically tested whether the most successful rms in her country were, or were not, learning organizations. Unfortunately, her data showed a low correlation between being an economically successful rm and being a learning organization, and she was puzzled by her ndings.

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are reproduced including the phase shift of roughly a quarter period. The wavelength is not exact and the amplitudes grow in time, indicating an instability. This instability is likely inherent in the way that the model is matched. However, the reproduction of such a dif cult nonlinear system is amazing given the comparison to traditional linear models. The state space plot appears in Figure 6.27. The limit cycle is not exactly reproduced. The nonlinear model instead appears unstable and slowly grows. For comparison, however, the linear least squares model resulted in a single slowly growing curve (Figure 6.25) that was a much worse match.The GA nonlinear model was able to capture the cyclical nature of the oscillations, a huge improvement. Finally Figure 6.28 shows the convergence of the GA for a typical run of tting the nonlinear model (6.8) to the data. Due to their random nature, the results of a GA are never exactly the same. In particular, the convergence plots will differ each time. However, the results are quite reliable. For this simple two-dimensional nonlinear system describing predator-prey relations, the GA t the variables of a nonlinear model so that the attractor was much better produced than by a traditional linear least squares t. Although the match is not perfect, the nonlinear GA model captures the essence of the dynamics.

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No Fixed Infrastructure: As mentioned above, there is no xed infrastructure in a MANET. This means that routing must be performed by every node in a MANET; these nodes themselves may disappear or move out of range. Dynamic Topology: Although certain types of MANETs such as sensor networks are not always mobile, in general MANET nodes are mobile. This means that the topology of a MANET changes dynamically. This creates challenges for link scheduling, routing, organization of nodes into domains, and so on. Power and Processing Constraints: The nodes in a MANET may have limited battery power, CPU resources, storage capacity, and so on. These limitations may need to be taken into account when designing protocols and services for these environments. Note that limited power and processing constraints are also characteristics of cellular handsets and sometimes even of the terminals in wireless LANs; however, the impact of these

2 1 7

(Continued)

I b : transformer basic current (or nominal current) Usc ( % ) : transformer short-circuit current (see section 4.2.1.3)

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Fan, Y, Rao, H, Hurt, H, Gainnetta, J, Korczykowski, M, Shera, D, et al (2007) Multivariate examination of brain abnormality using both structural and functional MRI NeuroImage, 26, 1189 1199 Fantuzzo, J W, King, J A, & Heller, L R (1992) Effects of reciprocal peer tutoring on mathematics and school adjustment: A component analysis Journal of Educational Psychology, 84, 331 339 Faraone, S V, & Biederman, J (2002) Ef cacy of Adderall for attention-de cit/ hyperactivity disorder: A meta-analysis Journal of Attention Disorders, 6, 69 75 Faraone, S V, Biederman, J, & Friedman, D (2000) Validity of DSM-IV subtypes of attention-de cit/hyperactivity disorder: A family study perspective Journal of the American Academy of Child & Adolescent Psychiatry, 39, 300 307 Faraone, S V, Biederman, J, Weber, W, & Russell, R L (1998).

Holsti, L, Grunau, R E, & Whit eld, M F (2002) Developmental coordination disorder in extremely low birth weight children at nine years Journal of Developmental and Behavioral Pediatrics, 23, 9 15 Holttum, J R, Minshew, N J, Sanders, R S, & Phillips, N E (1992) Magnetic resonance imaging of the posterior fossa in autism Biological Psychiatry, 32, 1091 1101 Holzapfel, M, Barnea-Goraly, N, Eckert, M, Kesler, S, & Reiss, A L (2006) Selective alterations of white matter associated with visuospatial and sensorimotor dysfunction Journal of Neuroscience, 26, 7007 7013 Hommet, C, Sauerwein, H C, De Toffol, B, & Lassonde, M (2005) Idiopathic epileptic syndromes and cognition Neuroscience and Biobehavioral Reviews, 30, 85 96 Hood, K K, Huestis, S, Maher, A, Butler, D, Volkening, L, & Laffel, L M B (2006).

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