Rhythmically coordinating with a partner can increase pro-sociality, but pro-sociality does not appear to change in proportion to coordination success, or particular classes of coordination. Pro-social benefits may have more to do with simply coordinating in a social context than the details of the actual coordination (Cross et al., 2016). This begs the question, how stripped down can a coordination task be and still affect pro-sociality? Would it be sufficient simply to imagine coordinating with others? Imagining a social interaction can lead to many of the same effects as actual interaction (Crisp and Turner, 2009). We report the first experiments to explore whether imagined coordination affects pro-sociality similarly to actual coordination. Across two experiments and over 450 participants, mentally simulated coordination is shown to promote some, but not all, of the pro-social consequences of actual coordination. Imagined coordination significantly increased group cohesion and de-individuation, but did not consistently affect cooperation.
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http://dx.doi.org/10.3389/fpsyg.2017.01798 | DOI Listing |
Cureus
December 2024
College of Nursing, Kanto Gakuin University, Yokohama, JPN.
High-flow nasal oxygen therapy (HFNO) is highly versatile and employed in varied situations, including after extubation, in cases of respiratory failure, and at the end of life. However, its impact on swallowing function is not yet elucidated. Therefore, this scoping review aimed to clarify how HFNO affects swallowing function and whether it poses a risk for aspiration pneumonia.
View Article and Find Full Text PDFSensors (Basel)
December 2024
China Construction Steel Engineer Co., Ltd., Shenzhen 518118, China.
Structural design usually adopts uniform temperature action. However, during the actual construction of the structure, the temperature field acting on the structure is inhomogeneous. Therefore, the simulation of the construction of statically indeterminate steel structures considering only the uniform temperature field cannot truly reflect the temperature action after structural molding and the evolution of the stress performance of the temporary stress system of structural construction.
View Article and Find Full Text PDFNeural Netw
December 2024
CAS Key Laboratory of GIPAS, University of Science and Technology of China, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China. Electronic address:
In MARL (Multi-Agent Reinforcement Learning), the trial-and-error learning paradigm based on multiple agents requires massive interactions to produce training samples, significantly increasing both the training cost and difficulty. Therefore, enhancing data efficiency is a core issue in MARL. However, in the context of MARL, agent partially observed information leads to a lack of consideration for agent interactions and coordination from an ego perspective under the world model, which becomes the main obstacle to improving the data efficiency of current proposed MARL methods.
View Article and Find Full Text PDFJ Prosthodont Res
January 2025
Prosthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR.
Purpose: Artificial intelligence (AI) may be used to learn and predict the maxillomandibular relationship, particularly when the number of occluding teeth pairs is insufficient. This study aimed to investigate the feasibility of training a new two-stage coarse-to-fine teeth alignment pipeline AI system in predicting maxillomandibular relationships based on the occlusal morphology of antagonistic teeth.
Methods: Maxillary and mandibular stone casts were collected and scanned at the maximal intercuspal position (MIP).
Lancet Public Health
January 2025
US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Background: Rapid, accessible, and accurate testing was paramount to an effective US COVID-19 response. Federal partners supported SARS-CoV-2 testing scale-up through an interagency-coordinated approach that focused on expanding supply chains, research and development, validation, and improving patient access. We aimed to provide an overview of the federal efforts to scale up the testing response and study the impact of scale-up.
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