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By their name (and de nition see Reference [1]) CASs are services in which the actual result of using them depends on the context. The interest in such services started in the early 90s in the eld of Pervasive Computing, where context was usually associated with the user location and information provided by various sensors (gadgets). In the wireless communication world, services that react according to the location of the user (and other users) answer questions such as where is the nearest Italian restaurant or who is next to me and are already being offered to cellular customers. The convergence of voice and data networks, and the rapid

Stated as concisely as possible, the basic ideas underlying inference networks are these: under certain conditions a distribution on a multidimensional domain (for example a probability distribution), which encodes prior or generic knowledge about this domain, can be decomposed into a set { 1 , , s } of (usually overlapping) distributions on lower-dimensional subspaces If such a decomposition is possible, it is sufficient to know the distributions on the subspaces to draw all inferences in the domain under consideration that can be drawn using the original distribution Since such a decomposition can be represented as a network or graph and since it is used to draw inferences, we call it an inference network Another popular name is graphical model, indicating that it is based on a graph in the sense of graph theory.

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Novel technology is an asset. The failure to aggressively patent the results of corporate research and development (R&D), like the failure to insure valuable plant and equipment, may be deemed mismanagement. Most U.S. companies face a dilemma of whether to obtain foreign patents or trademarks, in addition to their U.S. rights, and in which countries to seek such protection. Failure to enforce intellectual property rights is another example of mismanagement of corporate assets. Many technology-related corporations are rushing to file as many patents as possible, which may or may not be a prudent strategy. However, patents afford only exclusionary rights. Failure to enforce these rights by bringing a patent infringement action creates a double waste: loss of a valuable monopoly on the use of the patented technology as well as a waste of the capital spent on obtaining and maintaining the unenforced patents. Furthermore, any delay in enforcing the infringed patents may result in laches and estoppel (see 8), which may ultimately reduce the damage awards when an action is brought at a later date or render the patents unenforceable. Therefore, there may well be an affirmative duty on corporate officers and directors to vigorously enforce corporate intellectual property rights in a timely manner. Although it causes different injuries, misvaluation is closely related to waste.Where waste can be described as a realized loss, misvaluation is a

Plate 5.1 Endometrial intraepithelial carcinoma (EIC). Plate 4.1 Cribriform pattern of invasive endocervical

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Remarks The salient feature of the example is that the solution is a trade-off between xed and variable costs. The cost curves in Step 4 illustrate the trade-off. The solution lls the incremental load with the lowest-cost alternative among the technologies. The break points are points at which the technology choice changes from one technology to another. The trade-off between xed and variable costs is a feature of all selection methods. The following sections approach this trade-off in a more sophisticated way. The costs associated with Step 4 require more thought than the simple calculation that is presented. The calculation assumes that a dollar in years 5 and 6 has the same value. This is generally not the case.

Although this description of the ideas underlying inference networks mentions all essential ingredients, it is necessarily too condensed to be easily comprehensible, so let us explain first in a little more detail the main notions used in it Later we will provide some illustrative examples By multidimensional domain we mean that each state of the section of the world to be modeled can be described by stating the values of a set of attributes (cf page 16) For example, if we want to describe cars, we may choose to state the manufacturer, the model, the color, whether the car has certain special equipment items or not, etc Each such attribute or, more precisely, the set of its possible values forms a dimension of the domain Of course, to form a dimension, the possible values have to be exhaustive and mutually exclusive.

Figure 4-9 Objective lens designs. Two popular lenses for fluorescence microscopy are shown. Apochromatic lenses may contain 12 or more lens elements to give bright, flat images with excellent color correction across the visual spectrum. Fluorite lenses have fewer lens components and produce sharp, bright images. These lenses exhibit excellent color correction and transmit UV light.

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