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Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

npj Computational Materials 2021年第1期7卷 1733-1741页

作者： Sarah Akers Elizabeth Kautz andrea trevino-gavito Matthew Olszta Bethany E.Matthews Le Wang Yingge Du Steven R.Spurgeon National Security Directorate Pacific Northwest National LaboratoryRichlandWA 99352USA Energy and Environment Directorate Pacific Northwest National LaboratoryRichlandWA 99352USA Department of Industrial Engineering and Management Sciences Northwestern UniversityEvanstonIL 60208USA Physical and Computational Sciences Directorate Pacific Northwest National LaboratoryRichlandWA 99352USA

Automatic segmentation of key microstructural features in atomic-scale electron microscope images is critical to improved understanding of structure–property relationships in many important materials and chemical ***,the present paradigm involves time-intensive manual analysis that is inherently biased,error-prone,and unable to accommodate the large volumes of data produced by modern *** more automated approaches have been proposed,many are not robust to a high variety of data,and do not generalize well to diverse microstructural features and material ***,we present a flexible,semi-supervised few-shot machine learning approach for segmentation of scanning transmission electron microscopy images of three oxide material systems:(1)epitaxial heterostructures of SrTiO_(3)/Ge,(2)La_(0.8)Sr_(0.2)FeO_(3) thin films,and(3)MoO_(3) *** demonstrate that the few-shot learning method is more robust against noise,more reconfigurable,and requires less data than conventional image analysis *** approach can enable rapid image classification and microstructural feature mapping needed for emerging high-throughput characterization and autonomous microscope platforms.

关键词： systems image enable

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The Social Determinants of Health in Relation to Sexually Transmitted Infections in Maricopa County Arizona

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Advances in Infectious Diseases 2022年第2期12卷 328-336页

作者： Benjamin Picciano andrea Vizcaino Rosa Angelica Hernandez Francisco Javier Vizcaino Carla Segura Coutino Alonso trevino IV Javier Paz International University of the Health Sciences Basseterre Saint Kitts and Nevis School of Medicine Universidad Autónoma de Guadalajara Guadalajara Mexico

Based on the information that was collected on the County Health Rankings website [1], one of the top health concerns for Maricopa County was sexually transmitted infections or STIs. A big concern with STIs is this is not a common subject explored in educational settings or addressed socially. There are many organizations, including the CDC, that have access to materials, there is limited distribution of the educational content. Therefore, the public is not well informed and lacks the information to make educated decisions. The areas with insufficiencies are knowledge of the disease processes, prevention, and treatment.

关键词： STI Infectious Disease Maricopa Arizona Sexually Transmitted Infections Public Health Disease Prevention Sexual Health Sexual Health Education

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