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7.2 Food-web structure and the community matrix 7.2.1 Introduction Measures of complexity in ecological communities are often based on the composition of the community represented by the number and relative abundance of species. These measures, which include the myriad diversity indices, do not tell us very much about the functioning of communities and their properties, such as stability. To quantify functional aspects of the community and understand how they may respond to perturbations, we need to quantify the interactions between species. The potential complexity of such interactions in real ecological communities is illustrated by the food webs in Fig. 7.2. The food web can be characterized by the number of component species and the average number of links between them. The latter is known as linkage density. This idea can be extrapolated to other interactions between species, such as mutualisms. A motivation of this work has been to understand how communities with different linkage densities might respond to environmental perturbations, for example pollution events. A na ve view of this suggests two alternative outcomes. A highly connected community (high linkage density) might be predicted to be more resistant to perturbations, for example because any one species will have many possible food sources. Alternatively we might imagine that a highly connected community will be less resistant because harmful effects on just a few species will potentially

[GRA 97] G RAVES B, Computing reachability properties hidden in nite net unfolding , Proceedings of the 17th Foundations od Software Technology and Theoretical Computer Science Conference, vol 1346 of Lecture Notes in Computer Science, Springer-Verlag, pp 327 341, 1997 [HEL 99] H ELJANKO K, Using logic programs with stable model semantics to solve deadlock and reachability problems for 1-safe Petri nets , Fundamenta Informaticae, vol 35, pp 247 268, 1999 [HOO 96] H OOGERS P, K LEIJN H and T HIAGARAJAN P, An event structure semantics for general Petri nets , Theoretical Computer Science, vol 153, pp 129 170, 1996 [HUH 98] H UHN M, N IEBERT P and WALLNER F, Veri cation based on local states , Proceedings of TACAS 98, vol 1384 of Lecture Notes in Computer Science, Springer-Verlag, pp 36 51, 1998 [MCM 92] M C M ILLAN K.

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13.8 ACTIVE ARRAY SYSTEM ANALYSIS System analysis is one of the most important tasks when examining the quality of a signal. This is particularly so for a receive array antenna because the signal power is very low and often comparable to the noise power received by the antenna and the intrinsic noise power of the active components. In the case of a transmit array with multiple beams, the IM products generally dominate the noise power. The NPR data of the SSPAs can be utilized to estimate such a noise power. The signal-to-noise ratio (SNR) at the antenna aperture can be estimated in a straightforward manner.

, Using unfoldings to avoid the state explosion problem in the veri cation of asynchronous circuits , Proceedings of the 4th Conference on Computer Aided Veri cation, vol 663 of Lecture Notes in Computer Science, Springer-Verlag, pp 164 175, 1992..

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effective These approaches include explicit strategy instruction (Houtveen & van de Grift, 2007; B Y L Wong et al, 2003) Speci cally, teaching comprehension monitoring, use of graphic and semantic organizers (eg, story maps), question answering and generating, examination of story structure, and summarization are recommended Notably, independent silent reading (ie, programs geared toward increasing student independent silent reading) has not been shown to be predictive of reading achievement, in part due to insuf cient data It has been suggested that some intensive evidence-based reading interventions alter the neural functioning of the individual, in some instances with brain activation patterns on postintervention scans approximating nonimpaired subjects (E H Aylward et al, 2003; Richards, Aylward, Berninger et al, 2006; B A Shaywitz et al, 2006).

Now nd a payment scheme that gives the agent the incentive to take action a rather than any other action. Since there may be many such payment schemes, we might choose the one that minimizes the payment to the agent. This is the same as minimizing his pro t. Let v.w/ be the agent s utility function for the payment he receives. In most practical cases, v is concave. The principal s problem is minimize

However, the chosen example is simple as the difference between the two latency times is a multiple of the presentation time of an object. Of course, this is not always the case. For example, if the audio and video latency times equal 230 and 50 ms, respectively, the difference between the latency times is 180 ms: the drift that has to be modeled in the rendezvous corresponds to two objects, which represent a 200 ms drift. Nevertheless, after this 200 ms drift, there remains a 20 ms drift between the audio and video streams. To force the maximum inter-stream drift to remain under 100 ms, the TSPN inter-stream synchronization period has to be changed. If the inter-stream synchronization is enforced after every five images, because of the remaining 20 ms drift which has not been canceled, the inter-stream drift of the audio/video streams would be in the interval [ 80 ms, 120 ms], which could be greater than the allowed 100 ms in absolute value. It follows that an interstream synchronization must be done after every four images, in order to make the inter-stream drift remain in the interval [ 60 ms, 100 ms]. The presentation TSPN modeling the multimedia synchronization scenario and the applicative TSPN modeling the applicative processes behavior have different

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