Gulf Coast Health Alliance: Health Risks Related to the Macondo Spill (GC-HARMS) began in 2011 as a component project of the National Institute of Environmental Health Sciences' (NIEHS) Deep Water Horizon (DWH) Research Consortia program. This Gulf-wide consortium created regional community-university research partnerships focused on addressing health impacts resulting from oil spill exposures. Findings from this trans-National Institutes of Health program have helped enhance and refine community disaster preparedness and reinforced local-regional disaster response networks. Focal points of individual projects included the following: effects of multiple stressors on individuals and vulnerable populations, exposure to contaminants associated with crude oil, and mental health impacts. This introduction to New Solutions Special Issue on the GC-HARMS response to the DWH disaster presents an overview of the project's internal structure and relationship to the comprehensive NIEHS consortia response and lists articles and interviews featured currently with brief mention of additional articles slated for the next issue.
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http://dx.doi.org/10.1177/1048291118795691 | DOI Listing |
Heliyon
January 2025
Xinjiang Medical University, Urumqi, 830003, China.
Objective: To evaluate the drinking water quality in cities and towns in Xinjiang.
Methods: The testing data of 6543 water samples from the dry season and the wet season in 2023 were selected, and the drinking water quality in Xinjiang was evaluated and analyzed by using the Nemerow pollution index, the worst factor discriminant method and the weighted average method to calculate the comprehensive water quality index.
Results: The comprehensive index of drinking water quality in Xinjiang was 0.
ACS Appl Mater Interfaces
January 2025
Department of Chemical Engineering and Environmental Technology, Universidad de Zaragoza, Campus Río Ebro-Edificio I+D, 50018 Zaragoza, Spain.
The emergence of green chemistry and engineering principles to enforce sustainability aspects has ensured the prevalence of green solvents and green processes. Our study addresses this quest by exploring drug delivery applications of hydrophobic deep eutectic solvents (DESs) which are alternative green solvents. Initially, this work showcases the hydrophobic drug solubilization capabilities of a natural hydrophobic DES, menthol, and decanoic acid.
View Article and Find Full Text PDFWater Sci Technol
January 2025
Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, S.P. Andersens veg 5, 7031 Trondheim, Norway.
Trenchless pipe renewal can be a more cost-, time- and environmentally effective alternative to traditional open-cut replacement. It reduces service disruptions for surrounding infrastructures and is often cheaper, especially when extensive excavation works are necessary, particularly in cold climates, like Norway, where trenches are traditionally deep due to frost security requirements. Still, the uptake of trenchless technologies is still limited in the Norwegian market.
View Article and Find Full Text PDFNature
January 2025
SUGAR, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
Foraminifera are ubiquitous marine protists that intracellularly accumulate phosphate, an important macronutrient in marine ecosystems and in fertilizer potentially leaked into the ocean. Intracellular phosphate concentrations can be 100-1,000 times higher than in the surrounding water. Here we show that phosphate storage in foraminifera is widespread, from tidal flats to the deep sea.
View Article and Find Full Text PDFNat Commun
January 2025
Chair of Data Science in Earth Observation, Department of Aerospace and Geodesy, Technical University of Munich, Munich, Germany.
A major uncertainty in predicting the behaviour of marine-terminating glaciers is ice dynamics driven by non-linear calving front retreat, which is poorly understood and modelled. Using 124919 calving front positions for 149 marine-terminating glaciers in Svalbard from 1985 to 2023, generated with deep learning, we identify pervasive calving front retreats for non-surging glaciers over the past 38 years. We observe widespread seasonal cycles in calving front position for over half of the glaciers.
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