Awe is a self-relevant emotion, but whether and how awe impacts global self-continuity (GSC), a sense of connectedness among past, present, and future selves, has never been investigated. In six studies ( = 1,384), we examined the relationship between awe and GSC, as well as the mechanisms underlying this relationship, with both correlational and experimental design. We found awe positively associated with (Studies 1 and 3) and predicted (Studies 2 and 4-6) GSC. Moreover, we found that global processing (processing information in a general and big-picture way) and narrative (depicting one's life as a story) serially mediated the relation (Studies 3-6). The effect of awe on GSC and the mediating effect of global processing and narrative could not simply be attributed to awe is predominantly positive (Studies 3, 4, and 6), and the model also holds for awe brought by threatening experience (Study 5). These findings enrich the literature about the way awe affects self-concept. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Eur Child Adolesc Psychiatry
January 2025
Deakin Health Economics, School of Health and Social Development, Faculty of Health, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia.
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Universal Scientific Education and Research Network (USERN), Tehran, Iran.
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January 2025
Faculty of Applied Sciences, Department of Accounting and Financial Management, Necmettin Erbakan University, Konya, Turkey.
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Sci Rep
January 2025
Department of Biomedical Engineering, School of Life Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China.
The cervical cell classification technique can determine the degree of cellular abnormality and pathological condition, which can help doctors to detect the risk of cervical cancer at an early stage and improve the cure and survival rates of cervical cancer patients. Addressing the issue of low accuracy in cervical cell classification, a deep convolutional neural network A2SDNet121 is proposed. A2SDNet121 takes DenseNet121 as the backbone network.
View Article and Find Full Text PDFSci Rep
January 2025
School of Biosciences, University of Nottingham, Sutton Bonington, LE12 5RD, UK.
Tropical peatlands are carbon-dense ecosystems that are significant sources of atmospheric methane (CH). Recent work has demonstrated the importance of trees as an emission pathway for CH from the peat to the atmosphere. However, there remain questions over the processes of CH production in these systems and how they relate to substrate supply.
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