How does the concurrent use of language affect perception and memory for exemplars? Labels cue more general category information than a specific exemplar. Applying labels can affect the resulting memory for an exemplar. Here 3 alternative hypotheses are proposed for the role of labeling an exemplar at encoding: (a) labels distort memory toward the label prototype, (b) labels guide the level of specificity needed in the current context, and (c) labels direct attention to the label's referent among all possible features within a visual scene. University students were shown hues on object silhouettes that they either labeled with basic color categories, made preference judgments about, or indicated the animacy of its category. Experiments 1 and 2 established that there are response shifts toward the category prototype regardless of labeling, showing a pervasive influence of category knowledge on response bias. They also established an effect of labeling whereby labeling decreases the magnitude of shifts. Experiments 3 and 4 investigated the uniqueness and necessity of language in causing the decreased shift-neither of which proved to be the case. Overall, category-relative bias was pervasive and labeling appears to direct attention to the feature resulting in less biased memory. The results highlight that the context at encoding affects how memory is formed. (PsycINFO Database Record
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Brief Bioinform
November 2024
School of Engineering, Westlake University, No. 600 Dunyu Road, 310030 Zhejiang, P.R. China.
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Department of Medical Informatics, Nantong University, Nantong, Jiangsu, China.
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View Article and Find Full Text PDFAm J Lifestyle Med
January 2025
Massachusetts College of Pharmacy and Health Sciences, School of Pharmacy, Department of Pharmaceutical and Administrative Sciences, Boston, MA, USA.
Based on previously published US Diabetes Prevention Program (DPP) cost-effectiveness analyses (CEAs), metformin continues to be promoted as "cost-effective." We reviewed a 10-year CEA to assess this. Treatment alternatives included placebo, branded metformin and individual lifestyle modification.
View Article and Find Full Text PDFFront Plant Sci
January 2025
Guangdong University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou, China.
Precise segmentation of unmanned aerial vehicle (UAV)-captured images plays a vital role in tasks such as crop yield estimation and plant health assessment in banana plantations. By identifying and classifying planted areas, crop areas can be calculated, which is indispensable for accurate yield predictions. However, segmenting banana plantation scenes requires a substantial amount of annotated data, and manual labeling of these images is both timeconsuming and labor-intensive, limiting the development of large-scale datasets.
View Article and Find Full Text PDFExpert Rev Proteomics
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Biozentrum University of Basel, Basel, Switzerland.
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