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Seiichi Ozawa received BE and ME degrees in Instrumentation Engineering from Kobe University, Kobe, Japan, in 1987 and 1989, respectively. In 1998, he received his PhD in computer science from Kobe University. He is currently an associate professor with Graduate School of Engineering, Kobe University. His primary research interests include neural networks, machine learning, intelligent data processing, and pattern recognition. Shaoning Pang is the director of center for adaptive pattern recognition systems, Knowledge Engineering and Discovery research Institute (KEDRI), Auckland University of Technology, New Zealand. His research interests include SVM aggregating intelligence, incremental & multi-task learning, Bioinformatics, and adaptive soft computing for industrial applications. He has been serving as a program member and session chair for several international conferences including ISNN, ICONIP, ICNNSP, IJCNN, and WCCI. He was a best paper winner of IEEE ICNNSP 2003, IEEE DMAI2008, and an invited speaker of BrainIT 2007 and ICONIP2009. He is acting as a guest editor of Journal of Memetic Computing, Springer, and a regular paper reviewer for a number of refereed international journals including IEEE Trans on NN, TKDE, SMC-B. Dr. Pang is a Senior Member of IEEE, and a Member of IEICE, and ACM.

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where the source transition probabilities are Q(X j /X j 1 ) = p(X j 1 , X j ) p(X j 1 ) (20)

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Journal of Behavioral Medicine, 21(5), 505 515 Cohen, S, & Herbert, T B (1996) Health psychology: Psychological factors and physical disease from the perspective of human psychoneuroimmunology Annual Review of Psychology, 47, 113 142 Cohen, S, & Syme, S L (1985) Social support and health San Francisco: Academic Press Comuzzie, A G, & Allison, D B (1998) The search for human obesity genes Science, 280(5368), 1374 1377 Crespo, C J, Keteyian, S J, Heath, G W, & Sempos, C T (1996) Leisure-time physical activity among US adults: Results from the third National Health and Nutrition Examination Survey Archives of Internal Medicine, 156(1), 93 98 Cummings, G L, Battle, R S, Barker, J C, & Krasnovsky, F M (1999) Are African American women worried about getting AIDS A qualitative analysis AIDS Education and Prevention, 11(4), 331 342 Cunradi, C B.

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describe some of the individual factors that have been found to be related to treatment outcome and that can be useful in determining which of the numerous options for treatment might be particularly useful for an individual patient These factors include: headache type, frequency, and chronicity; age and gender; comorbid psychological disorder or distress; environmental factors; and treatment history Other factors, such as patient preference and cost effectiveness, have not received as much empirical attention, but these are nonetheless important when considering treatment options While much of the empirical literature has examined intensive individual therapy formats (typically 8 to 12 sessions), other methods of treatment delivery merit consideration, including reduced therapist contact and group treatments Headache Type, Frequency, and Chronicity Both tension-type and migraine headache respond well to pharmacological and nonpharmacological treatments With regard to nonpharmacological interventions, both headache types bene t from relaxation training and cognitive behavioral interventions.

, Caetano, R, Clark, C L, & Schafer, J (1999) Alcohol-related problems and intimate partner violence among.

Although thermal biofeedback is more widely applied to migraine headache and EMG biofeedback is more widely applied to tension-type headache, there is evidence to suggest that EMG biofeedback is also useful for migraine headache Patients with mixed migraine and tensiontype headaches also respond to the treatments discussed above, although typically not as well as those with pure migraine or tension-type headaches Cluster headache does not appear to respond as well to behavioral treatments Data are less clear for headaches that are associated with menses Headaches resulting from trauma require intensive, multicomponent treatment Patients with chronic daily or near daily, high intensity headache do not respond well to behavioral interventions alone (Blanchard, Appelbaum, Radnitz, Jaccard, & Dentinger, 1989) However, chronic daily headache has been found to be unrelated or positively related to the use of abortive and prophylactic medications (Holroyd et al, 1988).

These data suggest that medications may be the rst-line treatment for patients with chronic/daily or almost continuous headache Age and Gender Young adults generally respond better to nonpharmacological interventions than older adults and women generally respond better than men (Diamond, Medina, Diamond-Falk, & DeVeno, 1979; Diamond & Montrose, 1984) Geriatric headache patients have been found to be less responsive to.

2 expands upon the following specification, covering parts of the ROI that may not be obvious or may only be evident through use. However, the specification should always be your starting point. It is the official authority. Check the iRobot developer URL mentioned above and http://roombahacking.com/docs/ for future updates and discussions about the specification.

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