Muqun Li

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In this work, we present a method of “Walking In Place” (WIP) on the Nintendo Wii Fit Balance Board to explore a virtual environment. We directly compare our method to joystick locomotion and normal walking. The joystick proves inferior to physically walking and to WIP on the Wii Balance Board (WIP--Wii). Interestingly, we find that physically(More)
PURPOSE Electronic health records contain a substantial quantity of clinical narrative, which is increasingly reused for research purposes. To share data on a large scale and respect privacy, it is critical to remove patient identifiers. De-identification tools based on machine learning have been proposed; however, model training is usually based on either(More)
In an integrated global economy, specialisation in trade is an increasingly prominent strategy. A labour-abundant, resource-rich economy like Indonesia faces stiff competition for labour-intensive manufactures; meanwhile, rapid growth in demand for resources from China and India exposes it to the 'curse' of resource wealth. This diminishes prospects for(More)
Cheap ubiquitous computing enables the collection of massive amounts of personal data in a wide variety of domains. Many organizations aim to share such data while obscuring features that could disclose identities or other sensitive information. Much of the data now collected exhibits weak structure (e.g., natural language text) and machine learning(More)
OBJECTIVE Electronic medical records (EMRs) are increasingly repurposed for activities beyond clinical care, such as to support translational research and public policy analysis. To mitigate privacy risks, healthcare organizations (HCOs) aim to remove potentially identifying patient information. A substantial quantity of EMR data is in natural language form(More)
Cheap ubiquitous computing enables the collection of massive amounts of personal data in a wide variety of domains. Many organizations aim to share such data while obscuring features that could disclose personally identifiable information. Much of this data exhibits weak structure (e.g., text), such that machine learning approaches have been developed to(More)
ii Could globalization—specifically, increased international trade and openness to foreign investment—increase inequality in developing countries? Empirical studies in many such economies show that expanding trade and FDI are associated with higher inequality in wages and regional incomes. However, there is no agreement regarding the cause of such(More)
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