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In a sense, Google combines insight into Web page importance with query-speci c attributes to rank pages and deliver the most relevant results at the top of the search results The PageRank algorithm analyzes the importance of the Web pages it considers by solving an exceptionally complex set of equations with a huge.

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high value, thereby causing dif culty in assigning them to a particular class. Since these odd cases mainly come from the overlapping regions of the current feature space, their number can be reduced by learning the weights (importance) of the individual features so that a transformed feature space is generated for representing the cases with reduced overlapping regions. Such methods have been described in Section 3.4 using gradient descent technique, a neuro-fuzzy approach, and a GA-based approach. After classi cation of the N cases in the case base is made into M 1 classes, the task of retrieval becomes a problem of mapping a query case to one of these classes. There are many ways to select a set of representative cases from the class retrieved. A simple way is to use the concept of case density of a case e in its class C, which is de ned as P Case density e; C

Phase contrast images are easiest to interpret when the cells are thin and spread out on the substrate. When such specimens are examined in positive contrast mode, the conventional mode of viewing, objects with a higher refractive index than the surrounding medium appear dark. Most notably, phase contrast optics differentially enhance the contrast of the edges of extended objects such as cell margins. Generally, positive phase contrast optics give high-contrast images that we interpret as density maps. As an approximation, this interpretation is usually correct, because the amplitude and intensity in an object image are related to refractive index, and optical path length. Thus, a series of objects of increasing density (such as cytoplasm, nucleus, and nucleolus) are typically seen as progressively darker objects. However, the size and orientation of asymmetric objects also affect intensity and contrast. Further, there are optical artifacts we need to recognize that are present in every phase contrast image. Interpreting phase contrast images requires care. In positive phase contrast optics, cell organelles having a lower refractive index than the surrounding cytoplasm generally appear bright against a gray background. Examples include pinocytotic vesicles, lipid droplets, and vacuoles in plant cells and protozoa. For objects that introduce relatively

Summary

Parents have the primary responsibility for educating and bringing up their children, and they are the most obvious and signi cant health role models. However, as a result of modern family life, teachers may become one of the adults with whom children and youth interact, perhaps not most closely with, but at least most frequently. Hence, the schoolteacher may become a signi cant role model, not just an individual who provides information. In this respect, teachers must venture to project themselves clearly, alert and assured in relation to knowledge, skills and values to be transmitted. This aspect of a teacher s role is, in our opinion, highly undervalued. Teachers must acknowledge their own personality and character, and to stand forth as robust and mature adults in relation to young people who are in the process of emotional and social development, and exposed to many confusing and con icting messages and values from the society at large. Teachers with a trustworthy self-image increase the likelihood that adolescents actually perceive them as such a role model.

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8.5 SUMMARY In this chapter we have addressed the emerging eld of data stream algorithmics, providing an overview of the main results in the literature and discussing computational models, applications, lower bound techniques, and tools for designing ef cient algorithms. Several important problems have been proven to be ef ciently solvable