Credibility Enhancing Displays have been shown to be an important component in the transmission of empirically unverifiable cultural content such as religious beliefs. Decreased Credibility Enhancing Displays are a major predictor of religious decline. However, because declines in belief are often paired with the decreasing importance of religious institutions, existing research has not yet shown the effect of Credibility Enhancing Displays as separate from this institutional decline. Here, we assess the role of past Credibility Enhancing Display exposure among the baptised Catholic population of Ireland in predicting who retains a Catholic identity and religious beliefs among those who reject the Catholic Church. We find that leaving Catholicism outright (i.e. 'ex-Catholicism') is predicted by low Credibility Enhancing Display exposure, but rejecting the Church while retaining a Catholic identity (i.e. 'liminal Catholicism') and theistic belief is not. High perceived prevalence of clerical paedophiles (i.e. religious hypocrisy) predicts both groups similarly. Higher exposure to Credibility Enhancing Displays predicts higher orthodox Catholic beliefs and Catholic morality among Catholics, but with inconsistent and even negative effects among the other groups. High perceived prevalence of clerical paedophiles predicts the rejection of orthodox Catholic beliefs, but not the rejection of theism or a Catholic identity.
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http://dx.doi.org/10.1017/ehs.2022.21 | DOI Listing |
J Neurosci
January 2025
Leibniz Institute for Neurobiology (LIN), Department of Genetics of Learning and Memory, Magdeburg, 39118 Germany
For a proper representation of the causal structure of the world, it is adaptive to consider both evidence for and evidence against causality. To take punishment as an example, the causality of a stimulus is unlikely if there is a temporal gap before punishment is received, but causality is credible if the stimulus immediately precedes punishment. In contrast, causality can be ruled out if the punishment occurred first.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Ohio State University College of Medicine, Neurobiology of Aging & Resilience Center, Columbus, OH, USA.
Background: The cerebrovasculature is an essential component of brain homeostasis. Cerebrovascular disorders are associated with an increased risk for neurodegenerative diseases, including Alzheimer's disease (AD). However, the mechanisms by which cerebrovascular dysfunction contributes to neurodegeneration are poorly understood.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
School of Physics and Center of High Energy Physics, Peking University, Beijing 100871, China.
The BESIII Collaboration recently performed a precise measurement of the e^{+}e^{-}→DD[over ¯] Born cross sections, and confirmed the G(3900) structure reported by BABAR and Belle with high significance. We identify the G(3900) as the first P-wave DD[over ¯]^{*}/D[over ¯]D^{*} molecular resonance. The experimental and theoretical identification of the P-wave dimeson state holds paramount importance in enhancing our comprehension of the nonperturbative QCD and few-body physics.
View Article and Find Full Text PDFJ Rehabil Med
January 2025
Department of Biomedical, Surgical, and Dental Sciences, University of Milan "La Statale", Milan, Italy; IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
The growing relevance of rehabilitation in healthcare to address increasing patient needs necessitates robust Physical and Rehabilitation Medicine (PRM) integration into medical education and practice. Academic PRM, rooted in medical faculties, is vital for developing the medical speciality as an academic discipline across Europe, where it faces challenges, including limited representation in medical schools and competition for resources with established disciplines. This commentary advocates establishing a representative organization for academic PRM in Europe.
View Article and Find Full Text PDFSci Rep
January 2025
Ordos Institute of Liaoning Technical University, Liaoning Technical University, Ordos, 017000, China.
This study focuses on the construction and interpretation of a mine water inrush source identification model to enhance the precision and credibility of the model. For water inrush source identification and feature analysis, a novel method combining XGBoost and SHAP is suggested. The model uses Ca, Mg, K + Na, HCO, Cl, SO, Hardness, and pH as discriminators, and the key parameters in the XGBoost model are optimized by introducing the improved sparrow search algorithm.
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