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Strong precursor softening in cubic CaSiO perovskite.
Proc Natl Acad Sci U S A
February 2025
Department of Earth Sciences, University College London, London WC1E 6BT, United Kingdom.
CaSiO[Formula: see text] perovskite (CaPv) is the last major mineral in the Earth's lower mantle whose elasticity remains largely unresolved. Here, we investigate the elasticity of CaPv using ab initio machine-learning force fields (MLFF). At room temperature, the elasticity of tetragonal CaPv determined by MLFF molecular dynamics (MD) agrees well with experimental measurements after considering temperature induced variations in the hydrostatic structure, proving the effectiveness of the method.
View Article and Find Full Text PDFThe disparities and development trajectories of nations in achieving the sustainable development goals.
Nat Commun
January 2025
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
The Sustainable Development Goals (SDGs) provide a comprehensive framework for societal progress and planetary health. However, it remains unclear whether universal patterns exist in how nations pursue these goals and whether key development areas are being overlooked. Here, we apply the product space methodology, widely used in development economics, to construct an 'SDG space of nations'.
View Article and Find Full Text PDFEfficacy of a multicomponent nature-based intervention on well-being and environmental engagement: A randomized clinical trial.
Environ Int
January 2025
Einstein Excellence Office, Hospital Israelita Albert Einstein - Paulista Av, 2300 - Consolação. Zip code: 01310-300 - São Paulo, Brazil. Electronic address:
Background: Nature-based interventions (NBIs) benefit human well-being, but clinical trials comparing different NBIs in various natural environments are scarce.
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bneR: A collaborative workflow for air pollution exposure modeling and uncertainty characterization using the Bayesian Nonparametric Ensemble.
J Environ Manage
January 2025
Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Background: Air pollution is a major public health threat globally. Health studies, regulatory actions, and policy evaluations typically rely on air pollutant concentrations from single exposure models, assuming accurate estimations and ignoring related uncertainty. We developed a modeling framework, bneR, to apply the Bayesian Nonparametric Ensemble (BNE) prediction model that combines existing exposure models as inputs to provide air pollution estimates and their spatio-temporal uncertainty.
View Article and Find Full Text PDFA Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks.
Environ Sci Technol
January 2025
Department of Chemistry, University of California Berkeley, Berkeley, California 94720, United States.
Deployment of large numbers of low capital cost sensors to increase the spatial density of air quality measurements enables applications that build on mapping air at neighborhood scales. Effective deployment requires not only low capital costs for observations but also a simultaneous reduction in labor costs. The Berkeley Environmental Air Quality and CO Network (BEACON) is a sensor network measuring O, CO, NO, and NO, particulate matter (PM), and CO at dozens of locations in cities where it is deployed.
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