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Phobias involving food may occur in isolation (i.e. as simple phobias), or as part of a more generalised anxiety disorder. The overlap with other eating problems is evident, since food avoidance is a feature of most of the problems we describe. There are children who develop speci c circumscribed fears in relation to food, however, which are associated with speci c cognitions (unlike in FAED) and are not associated with obsessional rumination and checking/compulsive behaviours (see below). The nature of the speci c fear will vary with, among other things, the child s developmental stage, but it is probably the case that other severe food phobias are more common than phobic fear of fatness in the 8 to 10-year-old age group. The fears that are common are a fear of vomiting and a fear of contamination or poisoning. This may mean that only certain family members can be entrusted to prepare foods. One paper of interest in this area describes three boys, aged 6 to 8, consuming between 41 and 75% of their estimated daily needs for normal growth and development (Singer et al., 1992). The authors describe an approach to treatment, based on family involvement and anxiety management.

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The EntityContext interface provides a bean instance with access to its container-provided runtime context. The container passes the EntityContext interface to an entity bean instance after the instance has been created. The EntityContext interface remains associated with the instance for the lifetime of the instance. Note that the information that the instance obtains using the EntityContext interface (such as the result of the getPrimaryKey method) may change, as the container assigns the instance to different EJB objects during the instance's life cycle.

Summary

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microscope and looking down the optic axis of the microscope; the analyzer is then rotated at 90 to the polarizer in a north-south or up-down orientation to obtain extinction. It is desirable that the polarizer or analyzer be rotatable. The rotatable holder is often marked in degrees to facilitate adjustment to extinction. Having one of the polarizers in a rotatable holder assures proper orientation of the crossed polars along eastwest and north-south axes and allows precise control for obtaining extinction. The use of a compensator also requires that the polarizers be adjusted precisely, because it is inserted into the optical path at a fixed orientation. It is also highly desirable that the specimen stage be rotatable, with its center of rotation adjusted to coincide with the optic axis of the microscope so that the fixed polarized light beam can illuminate a specimen at various angles simply by rotating the stage. Finally, there is an insertion slot for a compensator, which is located near and in front of the analyzer. For applications where birefringence is small and object contrast is very low, it is important to use strain-free, polarization-grade condenser and objective lenses. Strain birefringence exists in most lenses as a result of manufacture and mounting in a lens barrel. When severe, birefringence from a lens can obscure faint signals in images of weakly birefringent objects. For

In this section we focus on techniques that can be applied to solve graph problems in the classical streaming and semi-streaming models In Section 834 we will consider results obtained in less restrictive models that provide more powerful primitives for accessing stream data in a nonlocal fashion (eg, stream-sort) Graph problems appear indeed to be dif cult in classical streaming, and only few interesting results have been obtained so far This is in line with the linear lower bounds on the space passes product proved in the work by Henzinger et al [43], even using randomization and approximation One problem for which sketches could be successfully designed is counting the number of triangles: if the graphs have certain properties, the algorithm presented in the work by Bar-Yossef et al [10] uses sublinear space.

Sub RunTimeButton() Adds a button at runtime Dim Butn As CommandButton Set Butn = UserForm1.Controls.Add( Forms.CommandButton.1 ) With Butn .Caption = Added at runtime .Width = 100 .Top = 10 End With UserForm1.Show End Sub

23.85, 23.05, 19.85, 18.25, 15.85, 14.25, 12.65, 8.85, 6.60

(i.e., without the sign change and division by 2, but divided by the dimension of nk ) is nonnegative with a minimum value of zero. If the Kalman lter were perfectly modeled and all white-noise sources were Gaussian, this would be a chi-squared statistic with distribution as plotted in Fig. 8.3. An upper limit threshold value on w2 can be used to detect anomalous sensor data, but a practical value of that threshold should be determined by the operational values of w2 , not the theoretical values. That is, rst its range of values should be determined by monitoring the system in operation, then a threshold value w2 chosen such that the fraction of good data max rejected when w2 > w2 will be acceptable. max

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