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Affect versus evaluation in the structure of attitudes Journal of Experimental Social Psychology, 25, 253 271 Breckler, S J, & Wiggins, E C (1991) Cognitive responses in persuasion: Affective and evaluative determinants Journal of Experimental Social Psychology, 27, 180 200 Budd, R J (1986) Predicting cigarette use: The need to incorporate measures of salience in the theory of reasoned action Journal of Applied Social Psychology, 16, 663 685 Cacioppo, J T, Crites, S L, Jr, & Gardner, W L (1996) Attitudes to the right: Evaluative processing is associated with lateralized late positive event-related brain potentials Personality and Social Psychology Bulletin, 22, 1205 1219 Cacioppo, J T, Gardner, W L, & Berntson, G G (1997) Beyond bipolar conceptualizations and measures: The case of attitudes and evaluative space Personality and Social Psychology Review, 1, 3 25 Cacioppo, J T, Marshall-Goodell, B S, Tassinary, L.

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G, & Petty, R E (1992) Rudimentary determinants of attitudes: Classical conditioning is more effective when prior knowledge about the attitude stimulus is low than high Journal of Experimental Social Psychology, 28, 207 233 Cacioppo, J T, & Petty, R E (1987) Stalking rudimentary processes of social in uence: A psychophysiological approach In M P Zanna, J M Olson, & C P Herman (Eds), Social in uence: The Ontario symposium (Vol 5, pp 41 74) Hillsdale, NJ: Erlbaum Cacioppo, J T, Petty, R E, Losch, M E, & Kim, H S (1986) Electromyographic activity over facial muscle regions can differentiate the valence and intensity of affective reactions Journal of Personality and Social Psychology, 50, 260 268 Campbell, A (1971) White attitudes toward Black people Ann Arbor, MI: Institute for Social Research..

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sub jerk_filter { my ($eh, $app, $comment) = @_; # If it is not defined, we don t care # Only when it is defined _and_ contains the word # jerk do we want to return false if (defined $comment->text && $comment->text =~ /\bjerk\b/i) { # Check to see if there is an existing # set of records for the relevant entry my $pd = MT::PluginData->load ( { plugin => FlamePrevent , key => $comment->entry_id }); # if it does not exist, create it if (!$pd) { $pd = MT::PluginData->new; $pd->plugin ( FlamePrevent ); $pd->key ($comment->entry_id); } # Get the current time my $ts = time; # Retrieve the current set of timestamps my $stamps = $pd->data; # Add an entry to the referenced hash # for the current user $stamps->{$app->remote_ip} = $ts; # Store the resulting hash reference # Notice that the variable is not explicitly # referenced (via \ ) because it is already # a reference $pd->data ($stamps); $pd->save; # Return false because we got a flame comment return 0; } else { # Return true because the comment appears fine return 1; } }

(a) Determine the rank of the above matrix, and use that to find the cyclic and systematic parity check matrices of the code, and its systematic generator matrix (b) Calculate the average number of 1s per row and column of the two parity check matrices, and hence calculate the rate of the code, confirming that it is the same in both cases, and also the same as the rate calculated from the dimensions of the parity check matrices What is the Hamming distance of the code (c) Sketch the Tanner graphs of the two parity check matrices and of the circulant matrix, and determine the length of the shortest cycle in each case Which graph might be best for decoding the code by means of the sum product algorithm 83 For the LDPC code of Problem 8.

When interpreting assessment results, including automated interpretations, psychologists take into account the purpose of the assessment as well as the various test factors, test-taking abilities, and other characteristics of the person being assessed, such as situational, personal, linguistic, and cultural differences, that might affect psychologists judgments or reduce the accuracy of their interpretations. They indicate any significant limitations of their interpretations. (See also Standards 2.01b and c, Boundaries of Competence, and 3.01, Unfair Discrimination.)

2, (a) Use the systematic generator matrix found in part (a) of Problem 82 to determine the codeword corresponding to the message vector m = (100) (b) The codeword of part (a) of this problem is transmitted over an AWGN channel in normalized polar format ( 1), and is received as the vector r = 10187 06225 20720 16941 13798 07431 02565 Using the sum product algorithm, decode this received vector on each of the three Tanner graphs found in part (c) of Problem 82, and comment on the processes and the results obtained 84 The block code Cb (5, 3) introduced in Example 7.