Showing 1 - 12 results of 12 for search 'Ahn, S.-J', query time: 0.67s Refine Results
  1. 1
    Lyme arthritis outcomes in children: a single center cohort study
    by Groh Brandt P, Ahn Nicholas J
    Published 2012-07-01
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    Article
  2. 2
    Ethnic differences in craniofacial and upper spine morphology in children with skeletal Class II malocclusion
    by Ahn, S.-J, Oh, E., Sonnesen, L.
    Published 2018
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    Article
  3. 3
    A taxonomic note on the subtribe Procirrina (Coleoptera: Staphylinidae: Paederinae) in Korea
    by Ahn, K.-J, Jeon, G.-N
    Published 2022
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    Article
  4. 4
    Multi-Layered Numerical Model Development of a Standard Cylindrical Lithium-Ion Battery for the Impact Test
    by Ahn, Y.J, Cho, J.-R, Lee, Y.-S
    Published 2022
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    Article
  5. 5
    Multi-Layered Numerical Model Development of a Standard Cylindrical Lithium-Ion Battery for the Impact Test
    by Ahn, Y.J, Cho, J.-R, Lee, Y.-S
    Published 2022
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    Article
  6. 6
    Improved Long-Term Stability of Transparent Conducting Electrodes Based on Double-Laminated Electrosprayed Antimony Tin Oxides and Ag Nanowires
    by Koo B.-R., Bae J.-W., Ahn H.-J.
    Published 2017-06-01
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    Article
  7. 7
    Dependence of the Color Tunability on the H2Pc Thickness in DC-Voltage-Driven Organic Light-Emitting Diodes
    by Ahn, T.J, Choi, B.H, Yu, J.-W, Yu, Y.S
    Published 2023
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  8. 8
    Magnetite-Free Sn-Doped Hematite Nanoflake Layers for Enhanced Photoelectrochemical Water Splitting
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    Article
  9. 9
    Synthesis And Electrochemical Characteristics Of Mechanically Alloyed Anode Materials SnS2 For Li/SnS2 Cells
    by Hong J.H., Liu X.J., Park D.K., Kim K.W., Ahn H.J., Ahn I.S.
    Published 2015-06-01
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    Article
  10. 10
    A Real-Time Detection Device for the Rapid Quantification of Skin Casual Sebum Using the Oil Red O Staining Method
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    Article
  11. 11
    A Real-Time Detection Device for the Rapid Quantification of Skin Casual Sebum Using the Oil Red O Staining Method
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    Article
  12. 12
    Predictive Value of18 F-FDG PET/CT Using Machine Learning for Pathological Response to Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell Lung Cancer
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    Article
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