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  1. Liked by Ruofan Liu. I am a graduate student at Western University studying Financial Economics. I also did my undergraduate study at Western University majoring in Finance. I am interested in middle-office roles in financial analysis, risk analysis, risk management, capital markets, accounting and asset pricing.

  2. The University of Akron. 2011年8月 - 至今 12 年 7 个月. Cleveland/Akron, Ohio Area. A core member in an NSF-CenTiRe research project "A Novel Methodology for Durability Assessment of Tire Materials". •Focused on and studied the fatigue behavior of rubber materials with various processing (Compression, Extrusion), testing techniques ...

  3. COVID-19 treatment7–11.To date, several therapeutic anti-SARS-CoV-2 mAbs have been licensed for use in humans 12–14.Thepreventionof emerging infectious diseases, such as COVID-19, by antibody ...

  4. Haga clic aquí para ver las últimas noticias de transferencias de Ruofan Liu, estadísticas de carrera, historial de transferencias, jugadores similares y roles de jugadores favoritos.

  5. 31 de dic. de 2021 · Authors: Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei. View a PDF of the paper titled DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training, by Xianglin Yang and Yun Lin and Ruofan Liu and Zhenfeng He and Chao Wang and Jin Song Dong and ...

  6. uz.wikipedia.org › wiki › Liu_RuofanLiu Ruofan - Vikipediya

    Liu Ruofan (1999-yil, 28-yanvarda tugʻilgan) — xitoylik professional futbolchi, hozirda Xitoy Superligasining Shanghai Shenhua klubida oʻynaydi. Klubdagi faoliyati. Liu Ruofan futbolchilik faoliyatini 2015-yilda Genbao futbol bazasidan Shanghai Shenhua yoshlar akademiyasiga qoʻshilganidan boshlagan. U 2016-yil aprel oyida ...

  7. Ruofan Liu, Yun Lin, Xianglin Yang, and Siang Hwee Ng, National University of Singapore; Dinil Mon Divakaran, Trustwave; Jin Song Dong, National University of Singapore Abstract: Explainable phishing detection approaches are usually based on references, i.e., they compare a suspicious webpage against a reference list of commonly targeted legitimate brands' webpages.