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more accessible than was the new attitude (Petty & Jarvis, 1998) Perhaps a simple generalization that can be made is that explicit attitudes are most con dently assessed with deliberative direct attitude assessments Of course, this statement rests on the assumption that self-presentational concerns or other biasing factors are not contaminating the attitude report To the extent that such biasing factors (eg, an unusually positive mood) are at work, the measure may tap the in uence of the biasing agents rather than solely the underlying attitude When direct attitude reports do not permit deliberative responding, however, the direct measure could tap either explicit or implicit attitudes Most of the time explicit and implicit measures should assess the same underlying attitude.

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haze is not a background phenomenon, but rather an example of anthropogenic pollution. Furthermore, the atmospheric winter/spring conditions reduce chemical reactions due to low temperatures and reduced turbulence, and decrease deposition due to stable strati cation of the ABL. These mechanisms signi cantly increase the lifetimes of the aerosol particles. Therefore, arctic haze is the result of decreased removal of particulate matter rather than increased in ow of pollutants into the arctic reservoir. The anthropogenic origin of arctic haze is further corroborated by the fact that it has not been observed before the 1950s [91]. Numerous aircraft observations have testi ed the patchy structure of the haze. Antarctica is free from such haze because it is more distant and more isolated from anthropogenic sources by the Antarctic vortex, which does not reach to industrialised areas.

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It is in the interesting case in which the two types of assessments produce different outcomes that one might conclude that the implicit measure has tapped an implicit attitude Of course, before one reaches this conclusion, it is important to rule out the possibility that the person is actually aware of the con icting attitude but simply does not report it for purposes of self-presentation What Do Implicit and Explicit Measures Predict A second assumption is that explicit attitudes predict deliberative behaviors (eg, jury voting), whereas implicit attitudes predict spontaneous behavior (eg, seating distances; Dovidio et al, 1997) If implicit attitudes are always more accessible than are explicit attitudes, one might expect this to be the case (Dovidio, et al, 2000; Wilson et al, 2000).

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the DBE, and external from the DBE In the rst approach, we use components or applications to encrypt the data prior to sending it to the DBE for storage and then use similar components or applications to decrypt the data after it is retrieved from the DBE Since the DB is storing the encrypted version of the data, the data types used inside our DBs must be modeled to hold the encrypted ciphertext, not the plaintext This often requires extensive use of binary data types in the database, such as variable-length binary (varbinary) types or binary large objects (BLOBs) In the second approach, because the DBE directly supports encryption, the DDBE users can simply read and write their data normally while the DBE handles the encryption under the covers This is generally the most ef cient approach to data encryption for centralized DBMS.

Data, (Continued ) space partitioning, 24 stream, 21, 400, See Also streaming data decision making, 401 decision support system (DSS), 88 degrees of freedom, 112, 118 DENFIS, 89 Density, local, 30 global, 31 detection rate, 117 deviation images, 119 digital control system, 402 dimensionality reduction, 316 dissimilarity, 263 distance norm 345, 355, 362 distillation tower, 324 325, 405 distributed control systems, 319, 400 Dow Chemical, 325 Drift, concept, 28, 103, 104, 121, 315, 402 detection, 107 reaction, 105, 121 dynamic model identi cation, 402 eClass, 41, 90 eClustering, 25 eClustering , 25 ECM, 89 economics, 401 Eigenspace, model, 153, 155 update, 153 159 electroencephalogram (EEG), 333, 338, 339 empirical mode decomposition (EMD), 333, 335 Hilbert-Huang transform (HHT), 341 Hilbert spectrum, 343 rotation invariant EMD, 346 environmental emissions monitoring, 318 ePL, 69, 89 eSensor, 315, 327 329, 331 332, 334 eTS, 21, 69, 89, 316 eTS , 21, 316 Evolution, neuro-, 373 376, 387 macro-, 388

For example, Fazio (1990) suggested that highly accessible attitudes in uence behavior when motivation and opportunity to evaluate the consequences of one s actions are low, but that less accessible or newly constructed attitudes can in uence behavior when motivation and opportunity are high However, the conclusion that implicit attitudes predict spontaneous behavior whereas explicit attitudes predict deliberative behavior may be premature Vargas et al (2001) argued that this conclusion was reached because the prominent contemporary implicit measures have relied on quick and spontaneous reactions (eg, speeded response task; Wilson et al, 2000; automatic evaluation task; Fazio, 1995), whereas explicit measures have relied on deliberative responses That is, the information-processing conditions of attitude measurement (spontaneous or deliberate) matched the information-processing conditions of behavioral assessment, and this assessment compatibility fostered higher correlations (Ajzen & Fishbein, 1977) To test this notion, Vargas et al.

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