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structure. The three-dimensional arrangement of electrons within the molecule is represented as an electron density map. In this section we will describe how Bragg re ections may be used to calculate an electron density map for the crystallized molecule. A large molecule such as a protein can generate hundreds of thousands of individual Bragg re ections, much more than crystals of low molecular mass organic/inorganic molecules. This is because there are thousands of individual atoms in a protein. Moreover, the intensity with which large molecules diffract X-rays is signi cantly lower than that for small molecules which means substantially more weak re ections. The calculation of an electron density map from a large molecule such as a protein therefore represents a signi cantly more dif cult task than a similar calculation for a small molecule, even though the individual steps which need to be taken are substantially similar. In current practice, calculation of electron density maps is carried out with the aid of powerful computer programs the availability of which is largely responsible for the speed with which macromolecu-

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The relationship between the data warehouse and the data mart. The structure of the data found in the data mart is shaped by the particular requirements of the department. The finance department will have one structure for its data mart, the sales department will have another structure for its data mart, and the marketing department will have another data structure for its data mart. All of their structures will be fed from the granular data found in the data warehouse. The data structure found in any given data mart is different from the data structure for any other data mart. For example, the sales data mart data structure will be different from the marketing data mart data. The data mart structures are typically known as star joins and contain fact tables and dimensions. The data mart structures are typically known as multidimensional structures and are served by OLAP technology. Because there is a different data structure for each data mart, making any data mart into a data warehouse doesn t make sense. When a data mart star join is made into a data warehouse, the data warehouse is optimal for one data mart and its users and is not optimal (or really usable) for anyone else. Data marts produce structures that are not reusable except by someone operating in the department that is optimized. Data mart data structures in general, across the enterprise are not reusable, are not flexible, are not useful as a foundation for reconciliation, and are not standing ready for a new set of unknown requirements. But the normalized granular data found in a data warehouse is indeed all of those things.

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such as glass cannot be measured. Even with these limitations, STMs have been used to evaluate optical surfaces (Dragoset et al., 1986; Dragoset and Vorburger, 1987; Schneir et al. 1989). Figure 15.8 shows a shaded solid plot of a molecular pattern of a monolayer of liquid crystal lm on a conductive graphite-solution interface measured using an STM. The overview of STM s theory, related scanning probe techniques and application were described by Guntherodt and Wiesendanger (1994), Wiesendanger and Guntherodt, (1995, 1996). Atomic Force Microscopes. The atomic force microscope (AFM) is an extension of the STM (Binnig et al., 1986). In addition to conductive surfaces, the AFM is able to map nonconductive samples by using the force of the tip surface interaction as the

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the model provides optimal solutions that do not satisfy the posed constraints, something is obviously wrong It can be concluded that thorough Model Veri cation (see Figure 84) is required that is, verifying that the model and the applied solution techniques are correct Nevertheless, even if the model works all right technically, the Model Solution need not be valid in practice Nonrealistic parameter values or other fatal deviations from reality may result in model outcomes that are not usable in practice Since a model always describes only certain parts of reality; in an abstract way, this so-called Model Validation (see Figure 84) can be a serious hurdle In this stage, feedback from the planners is indispensable, since the solutions generated by the model should be acceptable to the planners.

Cgd (Vgs , Vds ) + Cds (Vgs , Vds ) dVds 1 Vgd + Cds Vds Vbi (3.68b)

Following are some key points discussed in this chapter:

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