ABSTRACT Humans are chronically exposed to mixtures of environmental contaminants. Exposure to endocrine‐disrupting chemicals (EDCs) contributes to increased health impairment observed globally. This study aimed to evaluate the endocrine‐disruptive and oxidative stress potential of a human‐relevant, complex chemical mixture in vitro.
Josefin Engelhardt +5 more
wiley +1 more source
Risk assessment of a mixture of pharmaceuticals and personal care products (PPCPs) in thermal waters of Kütahya, Türkiye. [PDF]
Şener H, Yavuz Güzel E, Karakuş H.
europepmc +1 more source
ABSTRACT This study assessed human health risks associated with exposure to potentially toxic metals (PTMs) in soils and leafy vegetables cultivated in smallholder agricultural systems in Northeastern Brazil. Soil and vegetable samples were collected from 18 agricultural areas and analyzed for cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), nickel
Fernando Ferreira da Cunha Filho +5 more
wiley +1 more source
The biogeochemical transport by the Gulf Stream. [PDF]
Williams RG +7 more
europepmc +1 more source
Evapotranspiration Profiles and Trends in Seasonally Dry and Seasonally Humid Tropical Forests
Moisture availability and vegetation are decisive factors in ET variations, which are greater in the Atlantic Forest. Precipitation contributes positively to ET variations (r = 0.20–0.67). Significant trends (p < 0.05) in ET were identified, with opposing patterns.
Lucas de Morais Teixeira +5 more
wiley +1 more source
Biogeography of Cryoconite Bacterial Communities Across Continents. [PDF]
Ge Q +6 more
europepmc +1 more source
Diet and traffic: anthropogenic factors that influence stress-related hormone levels in African clawless otters. [PDF]
Burger M +4 more
europepmc +1 more source
Geology and land use as key drivers for hydrogeochemistry in a mining district of the Quadrilátero Ferrífero, Brazil: implications for water management strategies. [PDF]
Salomão GN +9 more
europepmc +1 more source
Simulating different scenarios of vegetation dynamics under the influence of human and climatic factors based on the residual trend analysis and machine learning. [PDF]
Abolhasani A, Tavili A, Khosravi H.
europepmc +1 more source

