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sibility of true plug and play. The introduction of predefined proxies, with their requirement that target components adapt to them, implies that the specification of dependencies (the target components) must be much clearer and more detailed than otherwise . Aside from provision of standard introspection interfaces, it will probably also be necessary to specify in greater detail such things as the allowable responses to operations invoked on a target component, and the realization of specifications in the predefined proxy such that dynamic checking can take place . In other words, especially careful design of predefined proxies would become crucial to their success .

This is only a a partial list of the transaction platforms supported by the single PlatformTransactionManager interface. When you program to PlatformTransactionManager, the actual transaction platform can be switched easily via Spring configuration without the switch affecting the application code. The specific transaction manager implementation you use (depending on your choice of transaction platform) is instantiated and wired in the Spring configuration file exactly like any other Spring bean definition. While you can configure the actual choice of transaction manager by editing a Spring configuration XML file, the actual calls to the PlatformTransactionManager interface API are still hard-coded within your source code. When you are coding components using POJOs, this is typically undesirable, because it fixes the exact transactional semantics of the component. In Spring, you can keep the transactional API code out of your component by applying AOP.

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1.3.4. Liquid Reference Flats It is well known that a liquid surface can be used as a reference at. Basically the liquid surface has a radius of curvature equal to that of the earth. If the radius of the earth is taken as 6400 km, the sag of the surface is (Grigor ev et al., 1986; Ketelsen and Anderson 1988) y2 y2 mm 2R 2 6:4 10 9 1:21

with f n = (2, - P ) / u . In this example, a = 1, 0 = 1, and , = 0. This choice implies that expected Poisson u count at the point = 0 is equal to 2500. Furthermore, assume that there are eight measurement points. This number is the constraint under which the design will be optimized. As optimality criterion for the design, (4.247) is chosen:

Since plasmonics deals with the near eld, a brief discussion of this topic follows; the topic, naturally, is of interest on its own merit Over the last decade, extensive research on and exploitation of the di erent kinds of near elds existing spontaneously or induced arti cially in immediate proximity to the surface of materials (or at the interface of two materials) have resulted in a plethora of new technical developments For example, these technologies permit advances in nanolithography and nanoinspection of semiconductor materials: Because near- eld optics permits the interaction of light and matter with a resolution of nanometers, manipulation of matter at this scale becomes possible [193] This section provides a very summarized view of the physics of the near eld and is completely based on and abstracted from an excellent paper by Girard et al [375].

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The concept of the near eld is not restricted to speci c areas in physics but actually covers numerous domains of contemporary physics (electronics, photonics, interatomic forces, phononics, etc) The theory mainly concerns phenomena involving evanescent elds (electronic density surface wave, evanescent light, local electrostatic and magnetic elds, etc) and/or localized interatomic or molecular interactions In fact, the practical exploitation of these waves and local interactions was latent for a long time in physics, until the emergence and the success of local probe-based methods [scanning tunneling microscopy (STM), SFM, SNOM] Although near eld physics was a well-established research area before the mid-1970s, its actual and systematic investigation began in the early 1980s with the invention of the scanning tunneling microscope.

Within a few years of this important discovery there is now an explosion of new experimental devices able to explore and measure many di erent kinds of near elds (electronic, photonic, acoustic, force, etc) At this time, various theoretical approaches and powerful numerical methods well suited to near eld physics are described in the literature It has long been known that the surface limiting a solid body locally modi es the physical properties of many materials (dielectric, metal, or semiconductor) In other words, the symmetry loss generated by the presence of an interface produces speci c surface phenomena that have been identi ed in the past (spontaneous polarization, electronic work function, electronic surface states, surface polaritons, surfaceenhanced optical properties, etc) The near eld can be de ned as the extension outside a given material of the eld existing inside this material.

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