AI Article Synopsis
Article Abstract
The current work sought to test the moderating role of a multicultural ideology on the relationship between categorisation salience and ingroup bias. Accordingly, in one experimental study, we manipulated categorisation salience and the accessibility of a multicultural ideology, and measured intergroup attitudes. Results show that categorisation salience only leads to ingroup bias when a multiculturalism (MC) ideology is not made salient. Thus, MC ideology attenuates the negative effects of categorisation salience on ingroup bias. These results pertain to social psychology in general showing that the cognitive processes should be construed within the framework of ideological contexts.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/ijop.12044 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal.
Brain Sci
January 2025
Department of Computer Science, Georgia State University, Atlanta, GA 30302, USA.
Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. While deep learning models offer superior performance through their non-linear capabilities, they often lack transparency, reducing trust in their predictions. This study introduces the Time Reversal (TR) pretraining method to address these challenges.
View Article and Find Full Text PDFRedefining diagnostic lesional status in temporal lobe epilepsy with artificial intelligence.
Brain
January 2025
Department of Neurology, University of South Carolina, Columbia, SC 29203, USA.
Despite decades of advancements in diagnostic MRI, 30-50% of temporal lobe epilepsy (TLE) patients remain categorized as "non-lesional" (i.e., MRI negative or MRI-) based on visual assessment by human experts.
View Article and Find Full Text PDFStructural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients.
Brain Res Bull
January 2025
Department of Radiology, Chongqing University Cancer Hospital, China. Electronic address:
Background: Cancer pain is a common symptom in patients with malignant tumors and associated with poor prognosis and a high risk of death. Structural connectivity (SC) and functional connectivity (FC) couplings have not yet been explored in lung cancer patients with bone metastasis pain.
Methods: In total, 51 patients with lung cancer without bone metastasis pain (BMP-), 52 patients with lung cancer with bone metastasis pain (BMP+), and 28 healthy controls (HC) were prospectively enrolled in our study.
Alpha and Theta Oscillations Associated With Behavioral Phenotypes of Pain-Attention Interaction.
Brain Behav
January 2025
Division of Brain, Imaging and Behavior, Krembil Brain Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.
Purpose: Pain is inherently salient and so draws our attention in addition to impacting performance on attention-demanding tasks. Individual variability in pain-attention interactions can be assessed by two kinds of behavioral phenotypes that quantify how individuals prioritize pain versus attentional needs. The intrinsic attention to pain (IAP) measure quantifies the degree to which a person attends to pain (high-IAP) or mind-wanders away from pain (low-IAP).
View Article and Find Full Text PDFA comprehensive scoping review on machine learning-based fetal echocardiography analysis.
Comput Biol Med
January 2025
Institute of Biomedical Engineering, University of Oxford, Old Road Campus Research Building, Oxford, OX3 7DQ, UK.
Fetal echocardiography (ultrasound of the fetal heart) plays a vital role in identifying heart defects, allowing clinicians to establish prenatal and postnatal management plans. Machine learning-based methods are emerging to support the automation of fetal echocardiographic analysis; this review presents the findings from a literature review in this area. Searches were queried at leading indexing platforms ACM, IEEE Xplore, PubMed, Scopus, and Web of Science, including papers published until July 2023.
View Article and Find Full Text PDFWant 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!