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), The standard edition of the works of Sigmund Freud (Vol 14, pp 310 333) London: Hogarth (Original work published 1916) Freud, S (1950) Libidinal types In Collected papers (Vol 5) London: Hogarth (Original work published 1931) Frick, P J, & Loney, B R (1999) Outcomes of children and adolescents with oppositional defiant disorder and conduct disorder In H C Quay & A E Hogan (Eds), Handbook of disruptive behavior disorders (pp 507 524) Boston, MA: Plenum Press..

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In a type 2 configuration, the desired phase distribution is realized by rotating the printed patches [6] instead of changing their dimensions. In this case the patch elements have almost identical dimensions (may vary slightly to accommodate incident angle variations) with different angular orientations, as shown in Figure 9.22b. This configuration requires special patch elements that could provide 180 phase difference between the reflection coefficients of the TE and TM modes. It will be shown that such an element yields 2 additional phase shift to the reflected signal for a physical rotation of (thus a 180 physical roation yields 360 phase shift, which is intuitively correct, because a 180 physical rotation means no rotation in regard to the reflected phase angle). Furthermore, the sense of polarization of the secondary pattern becomes identical with that of the feed pattern. That is, a type 2 configuration radiates an lcp secondary pattern if the feed radiation is lcp, for instance. In order to prove the above phase-shift concept by rotation, consider a rectangular patch element that has 180 phase difference between the TE and TM mode reflection coefficients. We assume that the TE mode is x-polarized and the TM mode is y-polarized. Such a patch element can be designed by adjusting its length and width. Suppose an lcp signal is incident upon the patch element. The incident field can be expressed as E inc = A x + j y (9.39)

Figure 9.6 A feature/requirements graph that stabilizes with the number of unimplemented features above zero.

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bilities have been discussed by Harrison (1991), who considered the rarity of true Levins metapopulations in the eld, and by Hanski and Gyllenberg (1993), who showed how to model both mainland/island and pure Levins with related equations. Hanski (1999) provides an overview of the whole subject. Various processes will promote something close to a metapopulation structure in the eld or at least create conditions under which local extinction and colonization are integral features of the population dynamics: gap creation or other disturbance generating new recruitment habitat (includes habitat fragmentation); a mosaic of successional habitats where, for example, an annual plant must move from one transient early successional habitat to another (may be a function of the previous feature); sedentary and localized resources such as plants, dung or decaying logs, all of which may be colonized by various insects, fungi and other organisms. The resources may have a short colonization period allowing a maximum of one or a few generations of the attacking organism, thereby necessitating dispersal to other similar resources.

Why If the application logic is not de ned prior to implementation, there is a risk that the developers will waste time writing redundant code, and that the resulting objects will not represent the most effective design. Moreover, if application logic is modeled using UML, the application logic framework can be generated automatically, minimizing the amount of the manual code required and thus decreasing the chance of defects. Who The developers should work under the supervision of the architect or lead developers to de ne the application logic. The lead developers should also delegate detailed design tasks to other team developers, and then review them. How The starting points of this step are the already-created component and class UML diagrams. Each module should be broken into classes with wellencapsulated functionality. After that, class interactions should be de ned, which may be described by sequence and collaboration diagrams. State diagrams can be used to represent object behavior. Often, however, detailed design is performed directly by coding, and only the most algorithmically complex classes require additional diagrams or pseudocode. Measurement

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