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Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Graph-Segmenter improves image segmentation with graph transformers and boundary-aware attention, boosting road safety and medical diagnostics.
Virginia Tech researchers have found a new way to identify genetic targets useful for control of mosquito populations, potentially offering an alternative to insecticides.
A research team has identified the optimal edaphic and climatic conditions for the growth of soursop (Annona muricata L.), a plant with significant medicinal potential and nutritional value.
A research team has identified the distribution and regeneration status of the endangered Senegalia venosa in Tigray and Gonder drylands.
A research team conducted a comprehensive evaluation of nine finger lime varieties, identifying key differences in fruit peel color and suitability for commercial production.
A research team developed and validated a liquid SNP chip named 'HbGBTS80K', which includes 80,080 SNPs evenly distributed across 18 chromosomes.
In a pivotal study, researchers examine the natural vibrations of truncated conical shells partially filled with an ideal compressible fluid. This exploration is crucial for advancing our understanding of fluid-structure interactions, particularly in complex geometries where traditional analytical methods fall short. The study's findings could revolutionize the design and safety of structures in various engineering applications.
Findings may explain location of largest Egyptian pyramid field
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