Previous research has demonstrated that the tendency to form first impressions from facial appearance emerges early in development. We examined whether social referencing is one route through which these consistent first impressions are acquired. In Study 1, we show that 5- to 7-year-old children are more likely to choose a target face previously associated with positive non-verbal signals as more trustworthy than a face previously associated with negative non-verbal signals. In Study 2, we show that children generalise this learning to novel faces who resemble those who have previously been the recipients of positive non-verbal behaviour. Taken together, these data show one means through which individuals within a community could acquire consistent, and potentially inaccurate, first impressions of others faces. In doing so, they highlight a route through which cultural transmission of first impressions can occur.
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http://dx.doi.org/10.1038/s41598-021-94204-6 | DOI Listing |
Analyst
January 2025
Questrom School of Business, Boston University, Boston, MA, 02215, USA.
Latent fingerprints (LFPs) are invisible impressions that need to be developed before being used for criminal investigation; however, existing fingerprint visualization techniques face challenges, such as complex preparation and poor contrast. To advance practical fingerprint detection, green-emissive micron-sized curcumin/kaolin composites were synthesized a facile and cost-effective one-step physical cross-linking method, which exhibited unprecedented performance in developing diversified marks, including LFPs, knuckle prints, palm prints, and footprints, with clear three-level details on various substrates. Notably, the powders successfully developed LFPs that were aged for 30 days and even up to 100 days, meeting the stringent requirements for comprehensive forensic application.
View Article and Find Full Text PDFJ Morphol
January 2025
Macroevolution Unit, Okinawa Institute of Science of Technology, Onna-son, Okinawa, Japan.
Dental impressions, developed for accurate capture of oral characteristics in human clinical settings, are seldom used in research on nonlivestock, nonprimate, and especially nonmammalian vertebrates due to a lack of appropriate tools. Studies of dentitions in most vertebrate species usually require euthanasia and specimen dissection, microCT and other scans with size and resolution tradeoffs, and/or ad-hoc individual impressions or removal of single teeth. These approaches prevent in-vivo studies that factor in growth and other chronological changes and separate teeth from the context of the whole mouth.
View Article and Find Full Text PDFBMC Geriatr
December 2024
International Centre for Future Health Systems, University of New South Wales, Sydney, Australia.
Background: Life satisfaction, one promising health asset, is associated with reduced risk of several chronic diseases and mortality. Mental health conditions and quality of life (QoL) are important aspects of well-being in late life and are significantly associated with life satisfaction. Despite the complex interrelationships between mental health, QoL and life satisfaction, the current literature has evaluated the simple association between them and failed to consider the complex pathways among these variables, especially among the older population.
View Article and Find Full Text PDFBMC Prim Care
December 2024
The Research Unit and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Background: The purpose of this interview study was to explore patients' and general practitioners' (GPs') experiences of space, time, and presence in video consultation in general practice in Denmark.
Methods: The study included six GPs and seven patients from the Copenhagen area, with different experience of video consultations. The data consisted of semi-structured interviews with all participants including recordings from their video consultations.
Front Med (Lausanne)
December 2024
Computer Science Department, Applied College, University of Ha'il, Hail, Saudi Arabia.
Pneumonia is still a major global health issue, so effective diagnostic methods are needed. This research proposes a new methodology for improving convolutional neural networks (CNNs) and the Visual Geometry Group-16 (VGG16) model by incorporating genetic algorithms (GAs) to detect pneumonia. The work uses a dataset of 5,856 frontal chest radiography images critical in training and testing machine learning algorithms.
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