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Then it sends a message to the heart to slow down and lower the blood pressure, responses that are directly opposite the responses the body needs Other investigators, however, have not found neurally mediated hypotension to play a major role in CFS (Poole et al, 2000) In another study (Streeten & Bell, 2000), the majority of patients had striking decreases in circulating blood volume It appears that the blood vessels in patients with CFS are constricted dramatically, and efforts to restore normal volume have met with limited success Other investigators have noted cardiac dysfunction (Lerner, Lawrie, & Dworkin, 1993), EEG abnormalities (Donati, Fagioli, Komaroff, & Duffy, 1994), abnormalities in cerebral white matter (Natelson, Cohen, Brassloff, & Lee, 1993), decreases in blood ow in certain areas of the brain (Schwartz et al, 1994), autonomic nervous system dysfunction (Freeman & Komaroff, 1997), frequent HHV-6 reactivation (Ablashi et al.

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TABLE 1.4 Project Calamari [68] CotsBots [69]

Evolving Intelligent Systems: Methodology and Applications, Edited by Plamen Angelov, Dimitar P. Filev, and Nikola Kasabov Copyright 2010 Institute of Electrical and Electronics Engineers

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, 2000), and multiple mycoplasmal infections (Nicolson et al, 1999) However, such laboratory ndings are inconsistent, which may be a function of combining distinctive groups of patients into a large heterogeneous group rather than analyzing them within subtypes One.

by terms re ecting lassitude and lethargy (eg, sluggish, dull), whereas Low Negative Affect is characterized by indicators of serenity (eg, calm, relaxed) Several writers have criticized the PANAS for excluding these low-end terms, arguing quite plausibly that unipolar scales cannot possibly assess bipolar dimensions validly (Larsen & Diener, 1992; Mossholder, Kemery, Harris, Armenakis, & McGrath, 1994; Nemanick & Munz, 1994) Why were these low-end terms excluded from the PANAS scales The reason is that they subsequently were found to be factorially complex and to correlate signi cantly with both of the underlying dimensions Their factorial complexity is well illustrated in the bottom half of Table 141, which reports correlations among scales assessing the High Positive Affect, High Negative Affect, Low Positive Affect, and Low Negative Affect octants of Figure 141; these data are based on the same four samples described earlier.

1. 2. 3.

Consistent with the structural scheme depicted in Figure 141, markers of High and Low Positive Affect do tend to be inversely related, with a weighted mean correlation of 41 Contrary to Figure 141, however, the Low Positive Affect terms also are moderately correlated with markers of High Negative Affect (mean r = 30) Similarly, the Low Negative Affect scales are moderately related to both High Negative Affect (mean r = 39) and High Positive Affect (mean r = 30) These results establish some signi cant inaccuracies in the original formulation of the affect circumplex (see Watson et al, 1999, for a discussion) Moreover, they further suggest that the inclusion of these low-end terms actually would lessen the construct validity of the PANAS scales Watson and Clark (1997) examined this issue by constructing a bipolar form of the PANAS.

C18:2 6.0 [3] C18:2 14.4 [6] C18:2 n-6 13.0 [6] C18:3 n-6 0.6 [6] 1.16 [3]

They created a bipolar Positive Affect scale by reverse-keying ratings on the four items comprising the PANAS-X Fatigue scale (sleepy, tired, sluggish, drowsy) and adding them to the 10 regular high-end terms; in parallel fashion, they created a bipolar Negative Affect scale by reverse-scoring the three terms included in the PANAS-X Serenity scale (calm, relaxed, at ease) and adding them to the 10 regular highend descriptors Both the original unipolar PANAS scales and these alternative bipolar versions then were correlated with regression-based factor scores in each of 13 data sets The results established that the original PANAS scales were superior measures of the underlying dimensions, in that they consistently showed both better convergent validity (ie, higher correlations with the target factor score) and superior discriminant validity (ie, lower correlations with the other factor score).

Variation of line losses and ampli er gains with time and temperature; Gain at other frequencies being different from that measured at the test frequency. (This test frequency may be 800, 1000, or 1020 Hz.)

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