DukeSpace

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  Short Paper: Can Robo-Advisors Replace Traditional Advisors? 

  Wong, Eugene Lu Xian (2021-02-18)

  Investment management was once an exclusivity that was only offered to the wealthy by human advisors. However, robo advisors are now offering low cost, readily accessible, fully automated services to a wider spectrum of ...
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  Prediction of Stock Market Price Index using Machine Learning and Global Trade Information 

  Wong, Eugene Lu Xian (2020-10-30)

  Globalization has led to an increasingly integrated global economy, one with less trade barriers and more capital mobility between countries. Consequently, no country is an island of its own. In this paper, it aims to investigate ...
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  Closing delivery gaps in the treatment of tuberculosis infection: Lessons from implementation research in Peru 

  Yuen, Courtney M; Millones, Ana Karina; Puma, Daniela; Jimenez, Judith; Galea, Jerome T; Calderon, Roger; Pages, Gabriela S; ... (12 authors)

  <jats:sec id="sec001"> <jats:title>Background</jats:title> <jats:p>Targeted testing and treatment of TB infection to prevent disease is a pillar of TB elimination. Despite recent global commitments to greatly expand access ...
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  Comparison of 12 surrogates to characterize CT radiation risk across a clinical population. 

  Ria, Francesco; Fu, Wanyi; Hoye, Jocelyn; Segars, W Paul; Kapadia, Anuj J; Samei, Ehsan (European radiology, 2021-02-23)

  <h4>Objectives</h4>Quantifying radiation burden is essential for justification, optimization, and personalization of CT procedures and can be characterized by a variety of risk surrogates inducing different radiological ...
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  Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration. 

  McFarland, James M; Ho, Zandra V; Kugener, Guillaume; Dempster, Joshua M; Montgomery, Phillip G; Bryan, Jordan G; Krill-Burger, John M; ... (14 authors) (Nature communications, 2018-11-02)

  The availability of multiple datasets comprising genome-scale RNAi viability screens in hundreds of diverse cancer cell lines presents new opportunities for understanding cancer vulnerabilities. Integrated analyses of these ...

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