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These internal representations of body state can be distorted, even to the extent that a person can experience phantom limbs (Ramachandran, 1998) It has long been recognised that abnormality of body image frequently plays a part in the maintenance of eating disorders, and this remains one of the diagnostic criteria for both anorexia nervosa and bulimia nervosa (APA, 1994) In fact, Rosen (1997) concludes that: Of all psychological factors that are believed to cause eating disorders, body image dissatisfaction is the most relevant and immediate antecedent Again, within the eld of schema-focused work, there is scope for helping clients to recognise and restructure distorted body image (or felt-sense ), as well as tackling the complex belief systems and the interpersonal dif culties that can contribute to the chronicity and complexity of some disorders..

Case Study 4.3: Feature Selection for Classi cation The CFS data set contains 39 test samples from patients clinically diagnosed with CFS and 40 control samples from subjects without CFS (nonfatigue, NF). The objective is to develop a predictor that classi es new subjects either as CFS or NF based on their gene expressions. Each microarray measures 20,160 genes. We rst used the Kruskal Wallis test with p-value threshold of 0.05 for the initial gene selection. For each GO term, we count how many genes in the original set of 20,160 genes, as well as how many of the selected, are annotated with it. We then use the hypergeometric test to evaluate whether the representation of this GO term in the selected subset of genes is signi cantly greater than that in the original set of genes. We rank GO terms by their p-values and nd the most overrepresented (those with smallest p-value) GO term. We narrow the selection of genes to include only the genes that are the most overrepresented GO term. We then select these genes as features for classi cation. Feature selection methods were tested using a leave-one-out cross-validation procedure. The prediction model used in all experiments was an SVM with quadratic kernel k(x, y) = (C + xT y)2 . The Kruskal Wallis test with a threshold of 0.05 produced the initial selection of 1296 genes. The overall accuracy of prediction with this feature selection method was 53 percent, which is barely better than the 50 percent accuracy of a random predictor. The

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This optical design relaxes constraints on the manufacture of the objective lens itself and allows for placement of bulky accessory equipment such as fluorescence filter cubes in the space between the objective and the tube lens 50 Integrated histogram A modified form of an image histogram in which the x-axis indicates the pixel value and the y-axis indicates the cumulative number of pixels having a value of x and lower on the x-axis The edge of the histogram defines a display function from which one can determine the rate of change in light intensity at any value of x along the gray scale Useful for determining the gray-level midpoint and for determining if LUTs should be linear, exponential, etc 287 Intensifier silicon-intensifier target (ISIT) camera A video camera tube used for low-light imaging applications.

The next clear discrimination is between dementia and dysphasia. It is very likely that talking to the patient, in an attempt to obtain details of the history, will have de ned whether the problem is one of impaired intellectual function, or a problem of language comprehension and production, or both. The discrimination is important, not least because of the dif culty in assessing intellectual function in a patient with signi cant dysphasia. Moreover, dysphasia can be mistaken for delirium, leading to the neglect of a treatable focal brain problem such as encephalitis. Patients with dysphasia have a language problem. This is not dissimilar to being in a foreign country and nding oneself unable to understand (receptive dysphasia), or make oneself understood (expressive dysphasia). Figure 14.2 sets out the two main types of dysphasia (as seen in the majority of people, in whom speech is represented in the left cerebral hemisphere). Not infrequently, a patient has a lesion in the left cerebral hemisphere which is large enough to produce a global or mixed dysphasia. Broca s and Wernicke s areas are both involved; verbal expression and comprehension are both impaired. Involvement of nearby areas of the brain by the lesion causing the dysphasia may result in other clinical features. These are shown in Fig. 14.3. Stroke, ischaemic or haemorrhagic, and cerebral tumour are the common sorts of focal pathology to behave in this way.

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The main idea behind OSCAR [10] is a multiple virtual window call admission protocol and average line mechanism based on dynamic channel reservation for handoff calls for multimedia LEO satellite networks. The essence of this predictive resource

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