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worry, it raises no civil rights issues). Once a patent portfolio has been analyzed and plotted in terms of numbers of patents in various technological categories, it will be seen that the resultant plot describes the portfolio and, by inference, the portfolio owner in the same manner that a plot of a DNA sample describes its sample donor. By comparing such plots or profiles, one may, theoretically, identify likely licensees, or acquisition targets, or merger partners. The critical question here, of course, is What are we searching for strength or weakness, similarity or dissimilarity The answer depends on the particular question being asked (i.e., the reason that the inquiry is being made).

The clock drift in cheap oscillators could have values ranging from 10 ppm to 100 ppm which represent a drift between 0036 seconds (10 ppm) and 036 seconds (100 ppm) every hour Therefore, the update frequency used in time synchronization protocols needs to be carefully considered with respect to the characteristics of different types of hardware The scope of time synchronization is quite important Some applications require the ordering of events occurring within a speci c area, which means that only a subset.

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set theory was developed for classi catory analysis of data tables The main goal of rough set theoretical analysis is to synthesize an approximation (upper and lower) of the classifying concepts from the target data Whereas fuzzy set theory assigns to each object a grade of belongingness to represent an imprecise set, rough set theory focuses on the ambiguity caused by limited discernibility of objects within a given domain The key concepts here are those of information granule and reducts An information granule formalizes the concept of nite-precision representation of objects in real-life situations, and reducts represent the core of an information system (in terms of both objects and features) in a granular universe It may be noted that cases also represent the informative and irreducible part of a problem.

An overburdened CPU is another obvious place to look for performance problems on your system. The vmstat command, shown earlier, can produce basic statistics relating to CPU usage (user activity, system activity, idle time, I/O wait time, and time stolen from a virtual machine). The iostat command (from the sysstat package), however, can generate more detailed reports of CPU utilization. Here are two examples of using iostat to display a CPU utilization report:

Hence, rough set theory is a natural choice for case selection in domains that are data rich, which contain uncertainties and allow tolerance for imprecision Additionally, rough sets have the capability to handle complex objects (eg, proofs, hierarchies, frames, rule bases), thereby extending the applicability of rough CBR systems Rough mereology, allowing for tolerance relations, has been used to design approximate CBR systems [9] Here rough sets assist in fast case retrieval by circumventing the adaptation step Recently, rough and fuzzy sets have been integrated within a soft computing framework, the aim being to develop a (synergistic) model of uncertainty that is stronger than using either technique alone [12] In the rough-fuzzy case generation method of Pal and Mitra [8,11], each pattern (object) is represented by its fuzzy membership with respect to overlapping linguistic property sets: low, medium, and high (ie.

The majority of candidate gene association studies for eating disorders have reported negative ndings It is impossible to draw conclusions from these results because many of the studies were small and used heterogeneous populations There have been a few positive associations but these need to be replicated in independent populations to con rm their importance The 5-HT2a gene is a plausible candidate but its role in the genetic aetiology of AN remains unresolved It is hoped that the large-scale association and linkage studies that are currently underway will have greater statistical power to detect small genetic effects and lead to the identi cation of susceptibility genes for eating disorders To date, over 250 candidate genes, markers, or chromosomal regions have been linked or associated with common human obesity phenotypes and this number will continue to expand over the coming years (Perusse et al, 2001).

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