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Taylor and Thompson also observed great variability in the types of judgment tasks included in vividness studies and speculated that this feature may have contributed to the lack of consistent effects across studies In contrast, judgments made within real or simulated legal settings are much more homogeneous in nature (eg verdict, witness credibility, evidence quality) and therefore should be less likely to mask any differences arising from the presentation of vivid versus pallid information Indeed, at least three trial simulation studies have observed vividness effects on mock jurors judgments (Bell and Loftus, 1988, 1989; Reyes et al, 1980) Another methodologically-oriented explanation for the lack of consistent vividness effects that Taylor and Thompson posed was that researchers have failed to covary information vividness and participants attention level.

The inverse of a partitioned matrix with square diagonal blocks may be represented in block form as [53] A C where E A 1 A 1 BHCA 1 ; F A 1 BH; G HCA 1 ; H D CA 1 B 1 : This formula can be proved by multiplying the original matrix times its alleged inverse and verifying that the result is the identity matrix. B D ! 1 E G ! F ; H

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As a result, vividness may have exerted little or no effect on judgments in those studies because the information was encoded and recalled regardless of its vividness At least one relevant trial simulation has manipulated both variables and observed the predicted Vividness X Attention Level interaction (Wilson, Northcraft and Neale, 1989) Participants in that study rendered more verdicts and gave larger damage awards in favor of the side that presented arguments in a vivid versus pallid manner, but only when participants information load was high For these reasons, Taylor and Thompson s review may underestimate the impact of vividness on jurors decisions when viewing videotape and computer-animated testimony versus traditional oral testimony Based on the corpus of research reviewed thus far, it seems reasonable to expect that the pictorial nature and vivid qualities of technologically advanced demonstrative evidence may in uence jurors judgments more than traditional oral testimony.

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People are better able to remember information presented pictorially rather than auditorily The vivid qualities of videotape and computer animation may enhance people s memory by requiring more attentional resources and evoking more emotional responses from jurors than oral testimony However, when considering the relevance of those ndings to the probative/prejudicial debate, it is important to distinguish between enhanced in uence and undue in uence Although certain forms of.

of a set of contiguous bytes. The default encoding of an XML file is either UTF-8 or UTF16. UTF stands for UCS Transformation Format, and the appended number refers to the 8-bit or 16-bit version of the format. Other possible encoding formats are ISO-8859-6 (Arabic), ISO-2022-kr (Korean), and ISO-2022-jp (Japanese). Here is a sample of an XML declaration with an encoding declaration:

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19. Government Executive magazine (September 1990), 7. 20. Geoffrey Y. Cornog, Developments in Public Administration, Public Administration

not only is there the inevitable ber attenuation in the path between head-end OLT and subscriber ONU, but there are also the equally inevitable incidental losses in the connectors and splices And there are even larger losses incurred in splitting the signal as is done in the PON architecture For example, the 32 : 1 splits mentioned as examples in the G983, 4, and 802ah standards discussed in the last chapter impose 15-dB splitting losses The excess loss that every coupler or splitter has typically ranges from 12 dB for a 1 : 4 and 20 for a 1 : 8 device So for the sample case of a PON with 1 : 4 and then 1 : 8 splits that was shown in Figure 23, there is typically 90 60 12 20 18.

Inventories are constantly turning over, with goods flowing both in and out. New production increases inventories, while new sales decrease inventories. The two factors interact to determine whether inventories are rising, falling or staying the same. For example, if new production equals new sales, inventory levels stay constant. If new production exceeds new sales, inventories rise. The interaction of new production and new sales is important because each firm has a target level of inventories that it likes to keep on hand to meet

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