Coordinating actions with others is crucial for our survival. Our ability to see what others are seeing and to align our visual attention with them facilitates these joint actions. In the present research, we set out to increase our understanding of such joint attention by investigating the extent to which social information would be able to prioritize overt (when moving the eyes to attend) and covert (when shifting attention without eye movements) attention in a joint spatial cueing task. Participants saw a cue and detected a target at the same or a different location alongside an unseen partner of either higher or lower social rank. In a novel twist, participants were led to believe that the cue was connected to the gaze location of their partner. In Experiment 1, where participants were told to not move their eyes (covert attention), the partner's social rank did not change how quickly participants detected targets. But in Experiment 2, where participants were free to move their eyes naturally (overt attention), inhibition of return effects (slower responses to cued than uncued targets) were modulated by their partner's social rank. These social top-down effects occurred already at a short SOA of 150 ms. Our findings suggest that overt attention might provide a key tool for joint action, as it is penetrable for social information at the early stages of information processing.
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http://dx.doi.org/10.1016/j.actpsy.2020.103188 | DOI Listing |
Nefrologia (Engl Ed)
January 2025
Servicios de Nefrología, Unidad Funcional de Acceso Vascular, Hospital Clínico de Barcelona, Barcelona, Spain.
Background And Objectives: The key points of a monographic vascular access (VA) consultation are an adequate preoperative assessment, as well as a correct management and optimization of waiting lists. Our main objective of present study was to evaluate the degree of exploratory-dependent concordance in outpatient clinics regarding implanted VA, between nephrology and vascular surgery.
Materials And Methods: We analyzed VA created or surgically repaired between 2021 and 2022.
Int J Mol Sci
January 2025
Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China.
It is challenging to handle heavy-metal-rich plants that grow in contaminated soil. The role of heavy metals in biomass on the physicochemical structure and electrochemical properties of their derived carbon has not been considered in previous research. In this study, Cu-ion hybrid nanoporous carbon (CHNC) is prepared from Cu content-contaminated biomass through subcritical hydrocharization (HTC) coupling pyrolytic activation processes.
View Article and Find Full Text PDFChildren (Basel)
January 2025
Child Health Department, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung 40161, West Java, Indonesia.
Background: Short stature remains a global problem and is associated with vitamin D status. Vitamin D is also a neurosteroid with regard to neurotrophic factors but its role in development is unclear. Therefore, this study analyzed the relationships between vitamin D, NGF, GDNF, and BDNF and developmental status in children with a history of short stature (<2 years).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer and Information Sciences, University of Northumbria, Newcastle Upon Tyne, United Kingdom.
Burnout of healthcare workers is of increasing concern as workload pressures mount. Burnout is usually conceptualised as resulting from external pressures rather than internal resilience and although is not a diagnosable condition, it is related to help seeking for its psychological sequelae. To understand how staff support services can intervene with staff heading for burnout, it is important to understand what other intrapsychic factors are related to it.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
School of Electronic and Information, Northwestern Polytechnical University, Xi'an 710129, China.
Artificial intelligence plays an indispensable role in improving productivity and promoting social development, and causal discovery is one of the extremely important research directions in this field. Acyclic directed graphs (DAGs) are the most commonly used tool in causal modeling because of their excellent interpretability and structural properties. However, in the face of insufficient data, the accuracy and efficiency of DAGs learning are greatly reduced, resulting in a false perception of causality.
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