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This study explores social immunity in gregarious locusts using a groundbreaking animal–robot–pathogen interaction model. By comparing locust responses to biomimetic agents mimicking healthy and infected individuals, significant behavioral changes are revealed.
Donato Romano, Cesare Stefanini
wiley +1 more source
Re-Evaluating Acceptable Intake: A Comparative Study of N-Nitrosomorpholine and N-Nitroso Reboxetine Potency. [PDF]
Zhang S+4 more
europepmc +1 more source
Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future
Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, including technologically and biologically augmented humans, engineered life forms, hybrots, and others, require tools of the emerging field of diverse ...
Michael Levin
wiley +1 more source
Deciphering melatonin biosynthesis pathway in Chenopodium quinoa: genome-wide analysis and expression levels of the genes under salt and drought. [PDF]
Yolcu S+4 more
europepmc +1 more source
Biosafety and Blood Compatibility of Graphene Oxide Particles in In Vitro Experiments. [PDF]
Prylutskyy Y+10 more
europepmc +1 more source
Applicability of In Silico New Approach Methods for the Risk Assessment of Tattoo Ink Ingredients. [PDF]
Pradeep P+4 more
europepmc +1 more source
Highly Durable Additively Manufactured Membrane-Free Electrolyzer. [PDF]
Whittingham MJ+5 more
europepmc +1 more source
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Mutation Research/Environmental Mutagenesis and Related Subjects, 1981
Despite the value and widespread use of the Ames test, little attention has been focused on standardizing quantitative methods of analyzing these data. In this paper, a realistic and statistically tractable model is developed for the evaluation of Ames-type data.
John P. Creason+3 more
openaire +3 more sources
Despite the value and widespread use of the Ames test, little attention has been focused on standardizing quantitative methods of analyzing these data. In this paper, a realistic and statistically tractable model is developed for the evaluation of Ames-type data.
John P. Creason+3 more
openaire +3 more sources
2019
Introduction to the Ames Test, published as GSA Learning ...
Nathan Goodson-Gregg+1 more
openaire +2 more sources
Introduction to the Ames Test, published as GSA Learning ...
Nathan Goodson-Gregg+1 more
openaire +2 more sources