In the present study, contextual detail was manipulated in a stimulus set by reproducing cartoon pictures intact or with much of the background obliterated. Young and older adults were presented cartoon slides both with and without contextual detail for study. During recognition, presence or absence of background was crossed factorially with its presence or absence during encoding, and participants indicated whether they recognized the cartoon. Analysis of d' scores indicated that old and young adults evidenced encoding specificity effects of comparable magnitude. Additionally, young people recognized pictures with contextual detail better than pictures without detail, whereas the reverse appeared to be true for older individuals. The implications of these findings with respect to those of Craik and Simon are discussed.

Download full-text PDF

Source
http://dx.doi.org/10.1093/geronj/39.2.213DOI Listing

Publication Analysis

Top Keywords

contextual detail
16
older adults
8
presence absence
8
detail
5
picture memory
4
memory older
4
adults effects
4
contextual
4
effects contextual
4
detail encoding
4

Similar Publications

Background: Quality nutrition services are dependent upon the accessibility and availability of nutrition professionals. In this study, we used the World Health Organization's Workload Indicators of Staffing Need (WISN) methodology to develop a dietetic staffing norm framework and implementation tool for South African central and tertiary public hospitals.

Methods: We followed the eight step WISN methodology as a basis for this developmental study.

View Article and Find Full Text PDF

Deep learning methods have significantly improved medical image analysis, particularly in detecting COVID-19 chest X-rays. Nonetheless, these methodologies frequently inhibit some drawbacks, such as limited interpretability, extensive computational resources, and the need for extensive datasets. To tackle these issues, we introduced two novel algorithms: the Dynamic Co-Occurrence Grey Level Matrix (DC-GLM) and the Contextual Adaptation Multiscale Gabor Network (CAMSGNeT).

View Article and Find Full Text PDF

Background: Disparities persist in testing and treatment for hepatitis C virus (HCV), leaving socially marginalized populations, including people who inject drugs (PWID), less likely to benefit from curative treatment. Linkage services are often insufficient to overcome barriers to navigating the medical system and contextual factors.

Methods: The You're Empowered for Treatment Initiation (YETI) Partner trial is a single-site randomized controlled trial evaluating the efficacy of a two-session behavioral intervention that engages injecting partners as peer navigators for HCV treatment.

View Article and Find Full Text PDF

In image segmentation for medical image analysis, effective upsampling is crucial for recovering spatial information lost during downsampling. This challenge becomes more pronounced when dealing with diverse medical image modalities, which can significantly impact model performance. Plain and standard skip connections, widely used in most models, often fall short of maintaining high segmentation accuracy across different modalities, because essential spatial information transferred from the encoder to the decoder is lost.

View Article and Find Full Text PDF

Objective: To develop a patient version of guidelines (PVG) for rehabilitation nursing (RN) in stroke patients with limb dysfunction, aiming to enhance patients' awareness, self-management skills, and adherence to rehabilitation programs.

Methods: This guideline was developed based on the cultural and healthcare context of China, and was guided on the Minimum standards for the Development Process, Content and Governance of Patient-Directed Knowledge Tools and the PVG tool book of the Guidelines International Network. The guideline was constructed through a normative process involving clarifying priority questions, assessing and integrating evidence, detailing and contextualizing recommendations, and evaluating the prototype of PVG.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!