Increasingly, within-site and regional comparisons of peatland lead pollution have been undertaken using the inventory approach. The peatlands of the Peak District, southern Pennines, UK, have received significant atmospheric inputs of lead over the last few hundred years. A multi-core study at three peatland sites in the Peak District demonstrates significant within-site spatial variability in industrial lead pollution. Stochastic simulations reveal that 15 peat cores are required to calculate reliable lead inventories at the within-site and within-region scale for this highly polluted area of the southern Pennines. Within-site variability in lead pollution is dominant at the within-region scale. The study demonstrates that significant errors may be associated with peatland lead inventories at sites where only a single peat core has been used to calculate an inventory. Meaningful comparisons of lead inventories at the regional or global scale can only be made if the within-site variability of lead pollution has been quantified reliably.
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http://dx.doi.org/10.1016/j.envpol.2006.03.037 | DOI Listing |
Background: Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures - however, how these population-level risks relate to individual risk remains elusive. To address this, we assess over 450 potential risk factors in one deeply clinically and demographically phenotyped cohort using random forest classifiers to determine predictive markers of poor cognitive function. This study aims to understand early risk factors for dementia by identifying predictors of poor cognitive performance amongst a comprehensive battery of imaging, blood, atmospheric pollutant and socio-economic measures.
View Article and Find Full Text PDFHeliyon
January 2025
Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, P.O. Box 74, New Cairo, 11835, Egypt.
Heavy metals like lead, mercury, cadmium, and arsenic are environmental pollutants that accumulate in ecosystems and pose significant health risks to humans and wildlife, primarily through food chain contamination where plants absorb heavy metals, affecting their growth and threatening consumer health. Cognitive and cardiovascular functions are particularly affected by exposure to heavy metals even at low concentrations through the induction of oxidative stress. Various analytical techniques are used in measuring heavy metals in different environmental and biological samples.
View Article and Find Full Text PDFSmall
January 2025
Department of Physics, Indian Institute of Technology Guwahati, Guwahati, 781039, India.
The desire to reduce secondary pollution from shielded electronics devices demands electromagnetic interference (EMI) shields with high green index (GI), which is the ratio of absorbance over reflectance. Achieving high GI values simultaneously with high shielding effectiveness (SE) over 50 dB is a serious unresolved challenge. Reducing the impedance mismatch between the shield and free space is the key to reducing the reflection of incoming radiation and enabling more penetration into the body of the shield for absorption.
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January 2025
Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Genomic instability is the main cause of abnormal embryo development and abortion. NLRP7 dysfunctions affect embryonic development and lead to Hydatidiform Moles, but the underlying mechanisms remain largely elusive. Here, we show that NLRP7 knockout affects the genetic stability, resulting in increased DNA damage in both human embryonic stem cells and blastoids, making embryonic cells in blastoids more susceptible to apoptosis.
View Article and Find Full Text PDFWater Res
January 2025
College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China.
Monitoring the quantity and quality of karst springs is essential for groundwater resource management. However, it is challenging to robustly forecast the karst spring discharge and pollutant concentration due to the high complexity and heterogeneity of karst aquifers. Few researchers have addressed the long-term prediction of hourly spring quantity and quality, which is crucial for emergency management.
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