(Press-News.org) While crop yield has achieved a substantial boost from nanotechnology in recent years, alarms over the health risks posed by nanoparticles within fresh produce and grains have also increased. In particular, nanoparticles entering the soil through irrigation, fertilizers and other sources have raised concerns about whether plants absorb these minute particles enough to cause toxicity.
In a new study published online in the journal END
Machine learning can now reduce worry about nanoparticles in food
Researchers at Texas A&M can predict whether metallic nanoparticles in soil are likely to be absorbed by plants, which could cause toxicity
2021-06-16
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EMBARGOED UNTIL 11 A.M. ET WEDNESDAY, JUNE 16, 2021
MADISON, Wis. -- Quantum computers could outperform classical computers at many tasks, but only if the errors that are an inevitable part of computational tasks are isolated rather than widespread events. Now, researchers at the University of Wisconsin-Madison have found evidence that errors are correlated across an entire superconducting quantum computing chip -- highlighting a problem that must be acknowledged and addressed in the quest for fault-tolerant quantum computers.
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Authors: Matthew D. Albaugh, Ph.D., of the University of Vermont Larner College of Medicine in Burlington, is the corresponding author.
To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
(10.1001/jamapsychiatry.2021.1258)
Editor's Note: The article includes conflict of interest and funding/support disclosures. Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
INFORMATION:
Media advisory: The ...
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Authors: Charles S. Fuchs, M.D., M.P.H., of the Yale School of Public Health in New Haven, Connecticut, is the corresponding author.
To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
(doi:10.1001/jamanetworkopen.2021.12539)
Editor's Note: The article includes conflicts of interest and funding/support disclosures. Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and ...
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[Press-News.org] Machine learning can now reduce worry about nanoparticles in foodResearchers at Texas A&M can predict whether metallic nanoparticles in soil are likely to be absorbed by plants, which could cause toxicity