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In two experiments, participants judged content contrasts taken from AB5C chiasms to be superior over double cone contrasts. This is not to say that chiasmic structure exists: Hofstee and Arends reiterate a point already taken by Peabody (1967) himself, namely, that desirability and content cannot be separated. So the best one can do is create a chiasmic illusion, as in the previous example. The algorithm goes as follows: Take a particular circumplex; draw a diameter separating desirable from undesirable traits; select two traits on different sides of the diameter but close to it and to each other, for example, cautious (slightly desirable) and timid (slightly undesirable); together with their opposites, they create the chiasmic illusion. It arises because in this case the alleged content contrast is formed by two terms with an angular distance that is only slightly less than 180 deg, instead of 109.5 deg as according to the double cone model. Do Chiasms Have a Future The double cone model was shown to be generalizable; it may be possible to design a re ned version by widening the angle between content opposites, amounting to oblique rotation. The more basic questions that remain, are What is the taxonomic status of the underlying principle of chiasmic structure and What does it do to our conception of personality Whatever the re ned model would be, it would focus on traits that are close to the equator of a hypersphere whose vertical axis is desirability: The model would focus on fairly

Fuzzy clustering [6, 12, 15, 18] can be regarded as a viable alternative to consider when dealing with dynamic data granulation; however, its generic version does require some essential changes to address the dynamics of the available data Our ultimate objective is to revisit and redevelop Fuzzy C-Means (FCM) so that the generic algorithm could be ef ciently used in the framework of dynamic data analysis In particular, we will be interested in dynamically adjusting the number of clusters for each temporal segment of the data (the number could be decreased so some clusters could be merged; the number of clusters could be also increased, leading to the split of some clusters) Further, we consider a weighted distance function being optimized as a part of the FCM optimization (which leads to the selection of the relevant attributes-features).

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Payload Type The text page indicates the wide range of support for audio and video payload types for RTP.

Secure each PGA scaffold to the bioreactor sidearms via the Dacron sleeves with 5-0 Dacron suture. Place a magnetic stir bar into the bioreactor. Sterilize the entire bioreactor assembly with ethylene oxide or 95% EtOH. For ethylene oxide sterilization, outgas for 2 or 3 days before cell seeding. For EtOH sterilization, dry for 24 h in a tissue culture hood.

In what follows, to illustrate the essence of the problem, we consider that the datasets are available at some data snapshots (say, temporal, spatial, or spatio-temporal segments W1, W2, , WP) as illustrated in Figure 31 The clusters are formed for W1 and then, when the next snapshot becomes available (W2), the clustering is run again starting from some initial con guration that has been inherited from W1..

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10 log(value in pWp 10 9 ) + 2.5 dB 10(log pWp 10 9 ) 0.5 dB + 90 dB value in pWp value in pW

Distributed Database Management Systems by Saeed K. Rahimi and Frank S. Haug Copyright 2010 the IEEE Computer Society

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