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Figure 9-6 Compensation by the method of de S narmont. The equipment includes a fixed polarizer and /4-plate and a rotatable analyzer. The fixed /4-plate is inserted in the microscope so that the slow axis of its wavefront ellipsoid is oriented parallel to the transmission axis of the analyzer when the polarizer and analyzer are crossed. A /4-compensator produces circularly polarized light from incident linearly polarized waves and vice versa. To measure the amount of retardation from a specimen, the slow axis of the specimen is oriented at 45 with respect to the crossed polars. For convenience in the drawing, an object giving a relative retardation of /4 (the same as the /4-plate) is shown; hence, emergent waves are circularly polarized. The /4-plate converts these waves into linearly polarized light whose plane of vibration is now tipped 45 relative to the plane of the initial wave produced by the polarizer. When examined with the analyzer in crossed position, the object appears medium gray. Rotating the analyzer from its 0 position counterclockwise 45 blocks light transmission and gives extinction (a), while a clockwise 45 rotation gives maximum transmission (b). Since the relative retardation by this method 2 , we calculate that the retardation by the object is 2 45 90 , or /4. In a more typical case, a birefringent cellular object giving /20 retardation would require a rotation of the analyzer of 9 to give extinction.

Fixer-Uppers. A house that s shabby on the outside may be even worse on the inside. If the lawn and siding have been neglected, the same might be true of the furnace and the roof. Fixer-uppers and handyman s specials are best left for pros, not for f irst-time home buyers. If you do want to try your luck, be sure to have any dilapidated house thoroughly checked out by a house inspector f irst. Bear in mind that your best bet may be a dilapidated house in a good community, even if it costs far more than the same house in a deteriorating community. Gentrif ied neighborhoods areas of cities that are being spruced up tend to be high priced. Your best course may be to look for a house in an area near an already restored section, especially if the houses are impressive brownstones and Victorians. But check with local real estate agents to make sure that the area seems poised to rise again. A basic rule of thumb: Don t spend more buying and f ixing up a house than two thirds of what the house would have cost new. If you buy a house for $60,000 and plan to spend $90,000, the house should be equivalent to a $225,000 new house. Sometimes you can even buy a deteriorated house in an inner-city neighborhood for as little as $1, providing that you promise to f ix it up within a year or two and live there for three years. Check your city housing agency to see if it has an urban homesteading program. Many cities offer low-interest mortgages if you agree to restore a house in a

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Does Not Exist: The bean has not been created yet. Pooled: An entity bean in the pooled state exists but has no identity. In other words, the bean is ready to rock-androll but cannot be identified by a client. Ready: An entity bean in the ready state has identity, or can be identified by a client. In other words, a ready state bean can perform useful work on behalf of a client.

To find the quantitative part (that is, the probability distributions), we initialize all node distributions to uniform (equal probabilities for all values). Next we enforce the component laws as well as Kirchhoff s laws (wherever applicable) by zeroing the entries of the probability distributions that correspond to impossible value combinations. Finally we incorporate the manufacturer supplied information about nominal values and tolerances by iterative proportional fitting (see Section 11.1.1), thus setting the marginal component distributions. The resulting graphical model can then be used to diagnose the modeled circuit by propagating node voltage measurements. From the theory of evidence propagation in graphical models and in particular in join trees (cf. Section 4.2.2) it is clear that the computational complexity of operations (iterative proportional fitting and evidence propagation) is governed by the size of the node distributions, which depends on the number of variables in a join tree node and the sizes of their domains (size of the spanned state space). If the distributions can be kept small by a proper selection of cross-sections, the computations are very efficient.

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