Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1071/nb04031 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Temporal trends and spatial variations of chlorinated paraffins and olefins in sewage sludge from eight Swiss wastewater treatment plants from 1993 to 2020.
Chemosphere
January 2025
Swiss Federal Institute for Materials Science and Technology Empa, Laboratory for Advanced Analytical Technologies, Überlandstrasse 129, 8600, Dübendorf, Switzerland. Electronic address:
High production rates of chlorinated paraffins (CPs) and their widespread use resulted in a global contamination. Since 2017, short-chain CPs (SCCPs, C-C) are listed as persistent organic pollutants (POPs) in the Stockholm Convention. Technical CP mixtures contain hundreds of homologues and side products such as chlorinated olefins (COs), diolefins (CdiOs) and triolefins (CtriOs).
View Article and Find Full Text PDFGlobally scalable glacier mapping by deep learning matches expert delineation accuracy.
Nat Commun
January 2025
Department of Earth Observation Science, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Overijssel, The Netherlands.
Accurate global glacier mapping is critical for understanding climate change impacts. Despite its importance, automated glacier mapping at a global scale remains largely unexplored. Here we address this gap and propose Glacier-VisionTransformer-U-Net (GlaViTU), a convolutional-transformer deep learning model, and five strategies for multitemporal global-scale glacier mapping using open satellite imagery.
View Article and Find Full Text PDFInformation extraction from historical well records using a large language model.
Sci Rep
December 2024
Earth & Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87544, USA.
To reduce environmental risks and impacts from orphaned wells (abandoned oil and gas wells), it is essential to first locate and then plug these wells. Manual reading and digitizing of information from historical documents is not feasible, given the large number of wells. Here, we propose a new computational approach for rapidly and cost-effectively characterizing these wells.
View Article and Find Full Text PDFPotato late blight leaf detection in complex environments.
Sci Rep
December 2024
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650504, China.
Potato late blight is a common disease affecting crops worldwide. To help detect this disease in complex environments, an improved YOLOv5 algorithm is proposed. First, ShuffleNetV2 is used as the backbone network to reduce the number of parameters and computational load, making the model more lightweight.
View Article and Find Full Text PDFAccuracy of a Rapid-Response EEG's Automated Seizure-Burden Estimator: AccuRASE Study.
Neurology
January 2025
Neurology, Yale School of Medicine, New Haven, CT.
Background And Objectives: The use of rapid response EEG (rr-EEG) has recently expanded in limited-resource settings and as a supplement to conventional EEG to rapidly detect and treat nonconvulsive status epilepticus. The study objective was to test the accuracy of an rr-EEG's automated seizure burden estimator (ASBE).
Methods: This is a retrospective observational study using multiple blinded reviewers.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!