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Unsupervised pattern-recognition and radiological risk assessment applied to the evaluation of behavior of rare earth elements, Th, and U in monazite sand.

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第一作者： Nathalia Luiza P,Wyatt

第一单位： Spectrometry Atomic Laboratory (LEA)/LabPetro, Department of Chemistry, Federal University of Espírito Santo, Vitória, ES, 29075-910, Brazil.

作者： Nathalia Luiza P,Wyatt ^[1] ; Vinicius C,Costa ^[1] ; Jefferson R,de Souza ^[1] ; Merisnet,Ferde ^[1] ; Floriatan S,Costa ^[2] ; Jordan B,Neris ^[3] ; Geisamanda P,Brandão ^[1] ; Wesley N,Guedes ^[4] ; Maria Tereza W D,Carneiro ^[5]

作者单位： Spectrometry Atomic Laboratory (LEA)/LabPetro, Department of Chemistry, Federal University of Espírito Santo, Vitória, ES, 29075-910, Brazil. ^[1] Department of Chemistry, Federal University of Paraná, Curitiba, PR, 81531-980, Brazil. ^[2] Department of Chemistry, Universidade Federal Do São Carlos, São Carlos, SP, 13565-905, Brazil. ^[3] Embrapa Instrumentation, São Carlos, SP, 13560-970, Brazil. ^[4] Spectrometry Atomic Laboratory (LEA)/LabPetro, Department of Chemistry, Federal University of Espírito Santo, Vitória, ES, 29075-910, Brazil. mariacarneiro@hotmail.com. ^[5]

关键词 Artificial intelligence KSOM Monazite Radiation Rare earth elements

医学主题词金属, 稀土(Metals, Rare Earth);危险性评估(Risk Assessment);巴西(Brazil)

DOI 10.1007/s11356-022-21632-w

PMID 35763145

发布时间 2024-10-16

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准确一般字义偏差语意偏离译文作用小提交