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It is also possible that the patentee is engaged in some activity, such as an IPO, a merger, or an acquisition, that renders litigation especially burdensome at that time Finally, many self-proclaimed experts (euphemism for someone who has actually observed a patent infringement trial ) maintain that there is a psychological advantage that accrues to the plaintiff There may well be something to this theory Certainly, it is difficult for a patentee to convincingly present a courtroom image of righteous indignation when the only reason he or she is in court is that the (alleged) infringer dragged him there Standing, which is a prerequisite to the bringing of a declaratory judgment action, is, essentially, a requirement that the plaintiff (the pestilential infringer) have an objectively reasonable apprehension of imminent suit by the (righteous, oppressed) patentee.

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An express charge of infringement by the patentee is not required to create such an apprehension Rather, the courts look at the totality of the circumstances Briefly and bluntly put, almost any assertion concerning the scope of a patent will confer standing, whether such assertion is made directly to.

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As discussed in the previous chapters, soft computing techniques allow reasoning with uncertainty and imprecision, ef cient learning of intractable classes (concepts), and robust parameter estimation through parallel searching. They are very useful for enhancing the overall problem-solving ability of CBR systems. In this chapter we describe brie y some successful soft CBR applications that are used in various domains, such as law, medicine, e-commerce, nance, oceanographic forecasting, and engineering. They provide advice and decision support to users by recalling previously successful cases for use as a guide or template. This chapter is organized as follows. In Section 6.2 we describe a fuzzy CBR application for Web access path prediction, where the concept of fuzzy set is used in case representation and mining association rules. In Section 6.3, a case-based medical diagnosis system incorporated with fuzzy neural network for case selection and adaptation is explained. Section 6.4 illustrates the application of a connectionist neural network for oceanographic forecasting. The use of fuzzy logic to capture the ambiguity of legal inference in a legal CBR system is explained in Section 6.5. This is followed, in Section 6.6, by a description of a residential property evaluation system that integrates CBR techniques with fuzzy preferences in determining similarities among cases. In Section 6.7 we describe an application using GAs to support bond rating and bankruptcy prediction. In Section 6.8, a color-matching system is described in which fuzzy logic is used in case

Bandwidth is easily measured by connecting the antenna to a network analyzer, such as the HP 8510. This gives return loss (RL), which is: RL = or VSWR = RL + 1 RL 1 (1.21) (VSWR + 1)2 (VSWR 1)2 (1.20)

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The nosology of mental disorders inevitably dithers between the wish to delineate useful categories and the hope of discovering natural kinds It would be good to achieve both but each aspiration alone is elusive enough Indeed, some would reckon the second hope to be forlorn and there has been a tendency to emphasise the pragmatic and the descriptive The current classi cations ICD-10 and DSM-IV are the offspring of this tendency (WHO, 1992; APA, 1994) Yet there is a nagging feeling that there are real disorders out there to be discovered rather than merely de ned Within the eld of eating disorders, anorexia nervosa crystallised out as a separate and distinct disorder over the course of the last century (Mount Sinai, 1965) It had the advantage of one criterion that was both undisputed and easy to measure, namely low weight.

situation is to decompose the transmitted rays into their corresponding O- and E-wave components so that we can appreciate the importance of phase displacements between the waves and the role of the objective DIC prism as a contrasting device Knowledge of the action of the objective DIC prism is important, because the operator must adjust the position of this prism to regulate the amount of optical shadowing and image contrast The rays exiting the prism are observed to define two distinct planar wavefronts that meet in the image plane (see Fig 10-6a) Each front shows localized regions of phase retardation differential phase retardations caused by phase objects in the specimen plane Figure 10-6 (top) shows the reconstructed profiles of the O and E wavefronts in the image plane taken along an axis parallel to the direction of shear with the instrument adjusted to extinction.

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