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http://dx.doi.org/10.11646/zootaxa.5263.4.8 | DOI Listing |
Spectrochim Acta A Mol Biomol Spectrosc
August 2025
Institute of Atomic and Molecular Physics, Sichuan University, Chengdu 610065, PR China. Electronic address:
The electronic structure, spectroscopic constants, and transition parameters of the diatomic molecule Magnesium monosulfide (MgS) were investigated using high-level multi-reference configuration interaction calculations with the Davidson correction (MRCI+Q) and a consistent basis set for both Mg and S atoms. Potential energy curves and dipole moment functions were computed, allowing for accurate predictions of rovibrational energy levels. Key transition properties, including radiative lifetimes and Franck-Condon factors, were evaluated for transitions within the ground electronic state and the first excited singlet state.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Psychology, University of California, Riverside, California, United States of America.
The Developing Belief Network is a global research collaborative studying religious development in diverse social-cultural settings, with a focus on the intersection of cognitive mechanisms and cultural beliefs and practices in early and middle childhood. The current manuscript describes the study protocol for the network's second wave of data collection, which aims to further explore the development and diversity of religious cognition and behavior using a multi-time point approach. This protocol is designed to investigate three key research questions-how children represent and reason about religious and supernatural agents, how children represent and reason about religion as an aspect of social identity, and how religious and supernatural beliefs are transmitted within and between generations-via a set of eight tasks for children between the ages of 5 and 13 years and a survey completed by their parents/caregivers.
View Article and Find Full Text PDFSci Rep
September 2025
Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Liver diseases, notably cirrhosis, pose a substantial global health challenge, resulting in millions of annual deaths. Existing diagnostic methods primarily target high-risk groups, leaving a significant portion of patients undiagnosed. This study aims to develop and validate an a machine-learning prediction model, Fibro-Predict, for the early detection of advanced liver fibrosis in the general population using nationwide electronic health records (EHRs).
View Article and Find Full Text PDFMol Inform
August 2025
Department of Chemistry, Bar-Ilan University, Ramat-Gan, Israel.
Ignition cases involving arsons are typically handled by forensic experts who examine spectra of samples collected from scenes of fire to test for the existence or absence of ignitable liquids. This is tedious work, since many cases do not involve such liquids. To facilitate this process, we have developed in this work a Machine Learning (ML)-based workflow for samples' classification based on their gas chromatography (GC) chromatograms (i.
View Article and Find Full Text PDFPatterns (N Y)
August 2025
Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel.
The study of complex adaptive systems, pioneered in physics, biology, and the social sciences, offers important lessons for artificial intelligence (AI) governance. Contemporary AI systems and the environments in which they operate exhibit many of the properties characteristic of complex systems, including nonlinear growth patterns, emergent phenomena, and cascading effects that can lead to catastrophic failures. Complex systems science can help illuminate the features of AI that pose central challenges for policymakers, such as feedback loops induced by training AI models on synthetic data and the interconnectedness between AI systems and critical infrastructure.
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