Cue Asymmetry in Source Discrimination Versus Item Recognition

2004 ◽  
Author(s):  
Ian Dobbins ◽  
Daniel McCarthy ◽  
Sanghoon Han
2018 ◽  
Vol 125 (2) ◽  
pp. 369-386 ◽  
Author(s):  
Aiqing Nie

Within memory processing, feature and conjunction effects refer to higher false alarms (incorrectly naming items as previously seen) for stimuli with partial/all features taken from different previously studied versus novel items. In this study, we compared feature–conjunction effects in the memory tasks of both item recognition and source retrieval, using faces as stimuli. We found greater feature–conjunction effects on source retrieval versus item recognition tasks, though participants gave slower responses on source retrieval versus item recognition. Thus, our data were consistent with dual-process memory theory in which familiarity contributes to high false alarms in compound faces even while feature–conjunction effects enhance recollection in source retrieval.


2009 ◽  
Author(s):  
Michael J. Hautus ◽  
Caren M. Rotello ◽  
Neil A. MacMillan

2004 ◽  
Vol 50 (1) ◽  
pp. 185-191 ◽  
Author(s):  
J.E. Ebdon ◽  
J.L. Wallis ◽  
H.D. Taylor

Antibiotic resistance profiling (ARP) is a potentially useful method for distinguishing faecal bacteria according to host source. This phenotypic approach has cost benefits over genotypic methods, but existing protocols are time-consuming and manual data handling is open to human error. A simplified, low-cost approach to the ARP technique was developed that used automated data recording techniques combined with simple statistical analyses to compare isolates of the genus Enterococcus from various faecal sources. An initial battery of 21 antibiotics (at up to four concentrations) was chosen for source discrimination. Images of growth or non-growth in microplate wells were stored as bitmaps and converted to binary data to form a database of known antibiotic resistance profiles. Discriminant function analysis (DFA) showed that the average rate of isolates correctly classified by the database (wastewater vs non-wastewater) was 86%. Once the more discriminating antibiotics and their concentrations had been identified, it was possible to reduce the number of tests from 80 to 18 whilst increasing the number of correctly classified human isolates. ARP could offer a low-cost and rapid means of identifying sources of faecal pollution. As such, the technique may be of particular benefit to developing countries, where water quality may have a significant impact on health and where cost is a major factor when choosing environmental management technology.


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