Yiming Deng

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In this work we first developed a murine pancreatic tumor model using CD24(+)CD44(+) pancreatic cancer stem cells (CSC) supported by an electrospun scaffold. Unlike conventional models, the use of CSC and the scaffold, which were biologically and chemically defined, afforded scientists a reliable platform to evaluate novel chemotherapy regimens.(More)
Place recognition, or loop closure detection, is an essential component to address the problem of visual simultaneous localization and mapping (SLAM). Long-term navigation of robots in outdoor environments introduces new challenges to enable life-long SLAM, including the strong appearance change resulting from vegetation, weather, and illumination(More)
A novel method for lipid analysis called CTS (collisional activation and traveling wave mass spectrometry), involving tandem mass spectrometry of all precursor ions with ion mobility determinations of all product ions, was applied to a sample of human serum. The resulting four-dimensional data set (precursor ion, product ion, ion mobility value, and(More)
Place recognition plays an important role in Simultaneously Localization and Mapping (SLAM) in many robotics applications. When long-term SLAM is performed in an outdoor environment, additional challenges can be encountered, including strong perceptual aliasing and appearance variations caused by changes of illumination, vegetation, weather, etc.(More)
Graphics Processing Units (GPUs) have proven to be a powerful and efficient computational platform. An increasing number of applications are demanding more efficient computing power at a lower cost. The modern GPU can natively perform thousands of parallel computations per clock cycle. Relative to the traditional power of a CPU, the GPU can far out-perform(More)