Traditional models of face processing posit independent pathways for the processing of facial identity and facial expression (e.g., Bruce & Young, 1986). However, such models have been questioned by recent reports that suggest positive expressions may facilitate recognition (e.g., Baudouin et al., 2000), although little attention has been paid to the role of negative expressions. The current study used eye movement indicators to examine the influence of emotional expression (angry, happy, neutral) on the recognition of famous and novel faces. In line with previous research, the authors found some evidence that only happy expressions facilitate the processing of famous faces. However, the processing of novel faces was enhanced by the presence of an angry expression. Contrary to previous findings, this paper suggests that angry expressions also have an important role in the recognition process, and that the influence of emotional expression is modulated by face familiarity. The implications of this finding are discussed in relation to (1) current models of face processing, and (2) theories of oculomotor control in the viewing of facial stimuli.
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http://dx.doi.org/10.1037/a0014518 | DOI Listing |
J Med Internet Res
January 2025
School of Management, Hefei University of Technology, Hefei, China.
Background: In online mental health communities, the interactions among members can significantly reduce their psychological distress and enhance their mental well-being. The overall quality of support from others varies due to differences in people's capacities to help others. This results in some support seekers' needs being met, while others remain unresolved.
View Article and Find Full Text PDFBackground: Nephrology has seen an uptake in transition to remote care delivery. The impact of telenephrology care on chronic kidney disease (CKD) progression is not well defined.
Methods: We analyzed data from patients naturally selected for telenephrology versus standard, in-person visits.
JAMA Netw Open
January 2025
Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Importance: Patients with achalasia face a higher risk of developing esophageal cancer (EC), but the surveillance strategies for these patients remain controversial due to the long disease duration and the lack of identified risk factors.
Objective: To investigate the prevalence of esophageal Candida infection among patients with achalasia and to assess the association of Candida infection with EC risk within this population.
Design, Setting, And Participants: This retrospective cohort study included patients with achalasia diagnosed at or referred for treatment and monitoring to the Erasmus University Medical Center in Rotterdam, the Netherlands, between January 1, 1980, and May 31, 2024.
Brief Bioinform
November 2024
Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos 62210, México.
This study addresses the challenging task of identifying viruses within metagenomic data, which encompasses a broad array of biological samples, including animal reservoirs, environmental sources, and the human body. Traditional methods for virus identification often face limitations due to the diversity and rapid evolution of viral genomes. In response, recent efforts have focused on leveraging artificial intelligence (AI) techniques to enhance accuracy and efficiency in virus detection.
View Article and Find Full Text PDFActa Pharm Sin B
December 2024
State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
Accurate receptor/ligand binding free energy calculations can greatly accelerate drug discovery by identifying highly potent ligands. By simulating the change from one compound structure to another, the relative binding free energy (RBFE) change can be calculated based on the theoretically rigorous free energy perturbation (FEP) method. However, existing FEP-RBFE approaches may face convergence challenges due to difficulties in simulating non-physical intermediate states, which can lead to increased computational costs to obtain the converged results.
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