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The 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.
Objective: To evaluate the efficacy of a multicomponent nature-based intervention (MNBI) in comparison to control group (classical forest bathing).
Primary Outcome: well-being; Secondary outcomes: vitality, happiness, connection, and engagement with nature across urban, peri-urban, and rural areas.
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.
View Article and Find Full Text PDFIdentifying dehydration-induced shear velocity anomaly in the Earth's core-mantle boundary.
Innovation (Camb)
January 2025
Center for High Pressure Science and Technology Advanced Research, Beijing 100193, China.
The steep temperature gradient near the bottom of the mantle is known to generate a negative correlation between the shear wave velocity ( ) and the depth in most regions of the D″ layer, as detected by seismological observations. However, increasing with depth is observed at the D″ layer beneath Central America, where the Farallon slab sinks, and the origin of this anomaly has not been well constrained. Here, we calculate the thermoelastic constants and obtain the elastic wave velocities of hydrous phase H with various Al contents and cation configurations, which may act as a water carrier to the D″ layer.
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