98%
921
2 minutes
20
Previous studies have shown that sensory information matching the content of visual working memory (VWM) gains prioritized access into awareness. While these studies primarily focused on a single stimulus, it remains unclear whether the prioritization persists when multiple items are memorized. Using a breaking continuous flash suppression paradigm, the current study systematically investigated the time taken to detect a suppressed stimulus when two items were maintained in VWM. The results demonstrated that multiple items stored in VWM did not prioritize the matched stimuli into awareness, regardless of whether the stimuli presented during suppression were partially matched (Experiment 1) or fully matched (Experiment 2) to the memorized items. Furthermore, no prioritization was observed when the memorized items were either integrated into a single object (Experiment 3) or remembered with increased precision (Experiment 4). After confirming the validity of the current experimental paradigm (Experiments 5a and 5b), we found that the item assigned with a higher priority through a retro cue broke into awareness faster than the uncued and the new items (Experiment 6). These findings suggest that when multiple items are retained in VWM, only one single item stored in the active state can facilitate matched stimuli into awareness, indicating a limited capacity for the modulation of VWM on access to visual awareness. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1037/xhp0001357 | DOI Listing |
JMIR Hum Factors
September 2025
Department of Community Health Systems, University of California, San Francisco, School of Nursing, San Francisco, CA, United States.
Background: The COVID-19 pandemic forced the world to quarantine to slow the rate of transmission, causing communities to transition into virtual spaces. Asian American and Pacific Islander communities faced the additional challenge of discrimination that stemmed from racist and xenophobic rhetoric in the media. Limited data exist on technology use among Asian American and Pacific Islander adults during the height of the COVID-19 shelter-in-place period and its effect on their physical and mental health.
View Article and Find Full Text PDFJ Adolesc Res
September 2025
University of Southern California, Los Angeles, USA.
A community-based qualitative study identified multilevel influences on sleep duration, quality, and timing in 10 to 12-year-old Latino pre-adolescents via 11 focus groups with 46 children and 15 interviews with parents. An iterative content analysis revealed three themes negatively and positively impacted sleep: (1) Individual-level; (2) Social-level; and (3) Environmental-level influences. At the individual level, use of technology (e.
View Article and Find Full Text PDFSci Rep
September 2025
Department of Information Engineering, University of Padova, Via Giovanni Gradenigo, 6, 35131, Padova, PD, Italy.
Three approaches to fair ranking in retrieval systems are compared in this paper: mPFR, which is based on the theory of preferences and eigensystems; cRR, which is a simple' 'round robin" method; and mMLP, which is based on linear programming. In order to increase fairness without sacrificing retrieval effectiveness, the techniques post-process the rankings that a retrieval system sends back to users. The findings demonstrate that when it comes to protecting elements, mPFR and cRR accomplish the same level of effectiveness and fairness.
View Article and Find Full Text PDFSoc Sci Med
September 2025
The University of Utah, College of Social Work, 395 1500 E, Salt Lake City, UT, 84112, United States of America. Electronic address:
Objective: Modifiable health behaviors including tobacco and alcohol use, poor diet, and low physical activity increase risk for developing multiple cancers. Longitudinal research suggests that risky behaviors initiated in youth may persist into adulthood. This scoping review maps prospective longitudinal studies examining the continuity of these behaviors from youth into adulthood.
View Article and Find Full Text PDFActa Neurochir (Wien)
September 2025
Department of Neurosurgery, Istinye University, Istanbul, Turkey.
Background: Recent studies suggest that large language models (LLMs) such as ChatGPT are useful tools for medical students or residents when preparing for examinations. These studies, especially those conducted with multiple-choice questions, emphasize that the level of knowledge and response consistency of the LLMs are generally acceptable; however, further optimization is needed in areas such as case discussion, interpretation, and language proficiency. Therefore, this study aimed to evaluate the performance of six distinct LLMs for Turkish and English neurosurgery multiple-choice questions and assess their accuracy and consistency in a specialized medical context.
View Article and Find Full Text PDF