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pro vyhledávání: '"Ariel Lawson"'
Autor:
Ariel Lawson, Mark Annunziato, Narmin Bashirova, Muhamed N. Hashem Eeza, Jörg Matysik, A. Alia, John. P. Berry
Publikováno v:
Toxins, Vol 16, Iss 10, p 424 (2024)
Among the widespread trichothecene mycotoxins, T-2 toxin is considered the most toxic congener. In the present study, we utilized high-resolution magic-angle spinning nuclear magnetic resonance (HRMAS NMR), coupled to the zebrafish (Danio rerio) embr
Externí odkaz:
https://doaj.org/article/d1ebebb4a5fb4dddb5abf18171ca4c72
Autor:
Mark Annunziato, Narmin Bashirova, Muhamed N. H. Eeza, Ariel Lawson, Daniel Benetti, John D. Stieglitz, Jörg Matysik, A. Alia, John P. Berry
Publikováno v:
Toxins, Vol 15, Iss 6, p 397 (2023)
Zearalenone (ZEA) is a mycotoxin, commonly found in agricultural products, linked to adverse health impacts in humans and livestock. However, less is known regarding effects on fish as both ecological receptors and economically relevant “receptors
Externí odkaz:
https://doaj.org/article/a60b98d54307407b907b15c5a6ac5959
Autor:
Berry, Mark Annunziato, Narmin Bashirova, Muhamed N. H. Eeza, Ariel Lawson, Daniel Benetti, John D. Stieglitz, Jörg Matysik, A. Alia, John P.
Publikováno v:
Toxins; Volume 15; Issue 6; Pages: 397
Zearalenone (ZEA) is a mycotoxin, commonly found in agricultural products, linked to adverse health impacts in humans and livestock. However, less is known regarding effects on fish as both ecological receptors and economically relevant “receptors
Autor:
Jörg Matysik, Martin Grosell, Muhamed N H Eeza, Ariel Lawson, Narmin Bashirova, Mark Annunziato, John D. Stieglitz, A. Alia, Daniel D. Benetti, John P. Berry
Publikováno v:
Science of the Total Environment
Science of the Total Environment, 803
Science of the Total Environment, 803
Brevetoxins (PbTx) are a well-recognized group of neurotoxins associated with harmful algal blooms, and specifically recurrent "Florida Red Tides," in marine waters that are linked to impacts on both human and ecosystem health including well-document
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f567c5d7eddffc55c6c65cced04e57e4
https://hdl.handle.net/1887/3214536
https://hdl.handle.net/1887/3214536
Publikováno v:
Journal of Geophysical Research: Atmospheres. 118:3309-3318
[1] We define a surface normal roughness metric for mesoscopically rough ice facets and present methods for inferring its value from variable pressure scanning electron micrographs. The methods rely on the anisotropic morphology of roughening in the