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sleep and psychopathology, 322 323 tobacco dependence and psychiatric comorbidity, 153 154 women, 519 522 Mentorship (women s health), 535 Meridians, 596 Migraine. See Headaches Migration (refugees), 41 42 Mind/body therapies, 606 Minnesota Multiphasic Personality Inventory (MMPI), 346, 396, 398 Miscarriage, 524 525 Modeling/behavioral rehearsal, 450 Modulation (physiological process in pain), 303 Mood, 79 81, 107 Morbidity/mortality: adolescents, 472 473 African Americans, 546 Asian Americans, 547 ethnic/racial differences, 2 Latino(a) Americans, 548 549 Native Americans, 550 the new morbidity, 473 obesity and, 124, 125 spinal cord injury (mortality), 420 421 Motivational enhancement therapy (MET), and asthma, 109 Movement therapies, 604 605 aerobic exercise, 604 Alexander technique (movement therapy), 605 dance movement therapy (DMT), 605 606 Feldenkrais functional integration (movement therapy), 605 leisure activity, 604 resistance exercise, 604 yoga, 605 Moxibustion, 597 Multidisciplinary pain rehabilitation programs (MPRP), 312 313 Multiple roles (risk/protective factor, women), 529 533 Multiple sclerosis (MS), 56, 382 Multiple Sleep Latency Test (MSLT), 328 Musculoskeletal conditions. See Arthritis and musculoskeletal conditions Music therapy (MT), 606 Myeloma, 268 Myofascial release/Rol ng, 603 Native Americans, 550 551 Natural disasters, 30 31, 36 37 Natural environment studies (asthma), 105 106 Nausea, anticipatory (cancer), CBT for, 279 NEO Personality Inventory, 398 Neurasthenia, 365 Neurological categories and classi cation, spinal cord injury, 415 417 Nociception, 293 Nutrition. See Diet/nutrition Obesity, 121 138 in adolescence, 476 bariatric surgery, 130 131 Body Mass Index (BMI), 122 in childhood, 476 classi cation of, 121 123

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application developers to place their own messages in a packet to be used by a receiver or sender of their application. This is another example of how this protocol is really not finished and never will be, which allows for uniqueness and extensibility.

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Akin also to the active modality are the more recent views of Cloninger (1986, 1987). To him, novelty-seeking is a heritable tendency toward excitement in response to novel stimuli or cues for reward (pleasure) or punishment relief (pain), both of which leading to exploratory activity. Consonant with its correspondence to the activity polarity, individuals who are assumed to be high in novelty-seeking may be characterized in their personality attributes as impulsive, excitable, and quickly distracted or bored. Conversely, those at the passive polarity or the low end of the novelty-seeking dimension may be portrayed as re ective, stoic, slow-tempered, orderly, and only slowly engaged in new interests. Turning from ostensive biological substrates to speculative psychological constructs, de Charms (1968) has proposed that man s primary motivational propensity is to be effective in producing changes in his environment (p. 269). A similar view has been conveyed by White (1959) in his concept of effectance, an intrinsic motive, as he views it, that activates persons to impose their desires upon environments. De Charms (1968) elaborates his theme with reference to man as Origin and as Pawn, constructs akin to the active polarity on the one hand and to the passive polarity on the other; he states this distinction as follows:

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Con rmatory Methods Covariance Modeling and CIRCUM As described earlier and shown in Table 16.2, the circumplex is associated with a particular kind of covariance model, referred to by Guttman (1954) as the circulant matrix. The circulant is a relatively nonrestrictive model characterized by a circular, repeating pattern of values occurring in each row and column. Using structural equation modeling (SEM) techniques, it is possible to t versions of this model to an obtained correlation matrix. Standard SEM programs, such as LISREL (J reskog & S rbom, 1986), can and have been used for this purpose (e.g., Romney & Byner, 1997; Rounds et al., 1992; cf. Gaines et al., 1997). However, perhaps the best current tool for performing this kind of specialized analysis is Browne s (1992) CIRCUM program. Fabrigar et al. (1997) provide a relatively nontechnical introduction to the program; Browne (1992) offers a more technical and detailed description. A growing number of studies have now used CIRCUM to test for circumplex structure in data (e.g., Carroll, Yik, Russell, & Feldman-Barrett, 1999; Gurtman & Pincus, 2000; Pincus et al., 1998; Schmidt, Wagner, & Kiesler, 1999; Tracey, 2000; Watson et al., 1999; Yik et al., 1999). Described as a covariance structure modeling technique (Fabrigar et al., 1997), CIRCUM was developed speci cally to evaluate circumplex correlation models, as well as implement tests of Browne s (1992) circular stochastic model of

Figure 4.8 ESD diode/inductor network with series d.c. blocking capacitor element for RF inputs (inductor to VDD power supply)

Signal-to-Noise Ratio (10 kHz to 5 MHz)

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