Faye, I. and Ndiaye, M. (2025) Hydrological Study on the Rehabilitation of Aghor Pond for Refugee Livestock in the Commune of El Meghve, Mauritania. Journal of Water Resource and Protection, 17, ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Concentrated dividend stocks can drive growth, resilience, and income for lasting financial freedom. Read here for three ...
The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...
NORMAL — Police officers said a driver glared by sunlight struck a 9-year-old boy with their car Wednesday morning outside a Normal elementary school. Officer Brad Park with the Normal Police ...
This study investigated the effects of different concentrations of Cd and Pb stress on growth root length, above-ground/below ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation
Abstract: Graph neural networks (GNNs) have shown strong performance on graph-structured data but may inherit bias from training data, leading to discriminatory predictions based on sensitive ...
Two Metro front pages: on left, election coverage featuring prominent QR code to send readers to the Metro website. Right is a C-shaped Paddy Power advert tying into Euros coverage. Metro put out 30% ...
Goal 2 is about creating a world free of hunger by 2030. The global issue of hunger and food insecurity has shown an alarming increase since 2015, a trend exacerbated by a combination of factors ...
Abstract: Distribution shifts from external events and new entities can significantly compromise spatial-temporal prediction accuracy, potentially leading to severe outcomes like traffic accidents.
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