Eugene Tang

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This paper proposes a mixed-level simulator for dynamic coarse-grained reconfigurable processor (CGRP), called ReSSIM (reconfigurable system simulation implementation mechanism), and the corresponding simulation tool-chain, including task compiler, profiler and debugger. A generic modeling methodology supporting convenient extension of on-chip modules is(More)
BACKGROUND Accurate identification of individuals at high risk of dementia influences clinical care, inclusion criteria for clinical trials and development of preventative strategies. Numerous models have been developed for predicting dementia. To evaluate these models we undertook a systematic review in 2010 and updated this in 2014 due to the increase in(More)
BACKGROUND Cardiovascular disease and its risk factors have consistently been associated with poor cognitive function and incident dementia. Whether cardiovascular disease prediction models, developed to predict an individual's risk of future cardiovascular disease or stroke, are also informative for predicting risk of cognitive decline and dementia is not(More)
More and more mobile phones are equipped with multiple sensors today. This creates a new opportunity to analyze users' daily behaviors and evolve mobile phones into truly intelligent personal devices, which provide accurate context-adaptive and individualized services. This paper proposed a MAST (Movement, Action, and Situation over Time) model to explore(More)
PURPOSE OF REVIEW A key priority in dementia research is the development of tools to identify individuals at high risk of dementia. This is important to prevent or delay dementia onset and as we move towards personalized medicine. RECENT FINDINGS Numerous models (n > 50) for predicting dementia have been developed. These vary in the number (0 to 20+) and(More)
Early identification of those at higher risk of dementia may play a part in secondary prevention and has received great clinical and research interest. Mild cognitive impairment (MCI) is a construct originally proposed to identify those who fall between normal cognitive aging and dementia. Clinical and research utility and validity of MCI are hotly debated.(More)
This paper studies different corpus-based algorithms through which to answer SAT sentence completion questions. SAT sentence completion questions assess how well different words fit into a sentence, and the ability to answer such types of questions have wide implications in optical character and speech recognition post-processing as well as word-suggestion(More)
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