Xindong Zhao

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We study how to perform model selection for time series data where millions of candidate ARMA models may be eligible for selection. We propose a feasible computing method based on the Gibbs sampler. By this method model selection is performed through a random sample generation algorithm, and given a model of fixed dimension the parameter estimation is done(More)
The purpose of this study was to evaluate the cytotoxicity of human multiple myeloma cells (RPMI-8226) treated with graphene oxide (GO), doxorubicin (DOX), and GO loaded with DOX (GO/DOX). Cell viability was determined using the Cell Counting Kit-8 assay and analyzing the cell cycle and cell apoptosis. Cells treated with GO, GO/DOX, and pure DOX for 24(More)
Doxorubicin hydrochloride (DOX) is an effective anticancer agent for leukemia chemotherapy, although its clinical use has been limited because of its side effects such as cardiotoxicity, alopecia, vomiting, and leucopenia. Attention has been focussed on developing new drug carriers with high adsorption capacity and rapid adsorption rate in order to minimize(More)
The validated therapeutic effects of dihydroartemisinin (DHA) in solid tumors have encouraged us to explore its potential in treating T-cell lymphoma. We found that Jurkat cells (a T-cell lyphoma cell line) were sensitive to DHA treatment with a IC50 of dihydroartemisinin. The cytotoxic effect of DHA in Jurkat cells showed a dose- and time- dependent(More)
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