Publications by authors named "Huaqiang Zhong"

A new gamma ray spectrometer with an array of five germanium detectors, called ARGUS, is designed to screen and select materials used in rare-event search experiments. In this paper, we investigate the background characteristics of ARGUS using Monte Carlo simulation. The expected background count rate was found to reach the level of 10 counts per day per kg of germanium crystal (cpkd) in the energy region of 60 keV to 2700 keV.

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Analysis of high-throughput omics data is one of the most important approaches for obtaining information regarding interactions between proteins/genes. Time-series omics data are a series of omics data points indexed in time order and normally contain more abundant information about the interactions between biological macromolecules than static omics data. In addition, phosphorylation is a key posttranslational modification (PTM) that is indicative of possible protein function changes in cellular processes.

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