Tie-Jun Zhao

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We determined the molecular mechanism of inhibitory effect of human mesenchymal stem cells (hMSCs) on the growth of human MCF-7 breast cancer cells. Our finding showed that beta-catenin was down-regulated in MCF-7 cells by conditioned media from Z3 hMSCs, and the expression level of dickkopf-1 (Dkk-1) was higher in Z3 cells than that in MCF-7 cells.(More)
In this paper, we described dynamic evolution of network information, as well as identify and analysis the document collection on the same topic in different stages. Dynamic summarization considers the different documents’ temporal relationship in multi-document and analyzes the relationship between emerged information and emerging information. In order to(More)
We have developed a highly flexible anthropomorphic 7-DOF robotic arm for a mobile humanoid robot. The kinematics of the arm such as workspace, singularity, the number and physical nature of self-motion are presented. The concepts and methodology of the inverse kinematics base on the self-motion of the arm are described. By this method the task and motion(More)
In the task of auto-building a Chinese-English semantic lexicon for translation selection, this research presents a method, which introduces WordNet similarity measures to wash out misaligned Chinese-English word pairs. Six different proposed measures of similarity based on WordNet were experimentally compared and evaluated by using WordNet and the software(More)
Great progress has been made in parsing the Wall Street Journal portion of the Penn Treebank. Now parsing languages other than English is an intensive research area. Head-driven model is one of the best English parsing models. It has been successfully applied to Czech but failed to outperform a base-line model in parsing German. This paper attempts to parse(More)
As far as the rule-based machine translation (RBMT) is concerned, the rule acquisition remains as a bottle-neck problem. This paper proposes a cascaded approach to optimize the rule base, which is automatically acquired from the bilingual corpus. Observing the more risk of errors in the upper layer of the parsing tree, we propose in this paper a method(More)
The last two decades have seen the unprecedented growth of the Internet and the corresponding increase in online services. Hence secure, interoperable and flexible identity management systems have become a fundamental precondition for tenacity of e-services and to alleviate cybercrime. In this paper, a multifactor authentication system is implemented(More)
Based on classical model that used by software exploitation in the subject of Software Engineering - waterfall model, a high precision model for English noun phrase identification is presented. In this model, three important features (interior structure, context information and boundary character) in base noun phrase identification are orderly used, and the(More)
Cancer stem cells (CSCs) represent a subpopulation of tumor cells that exhibit capacities for tumor initiation and progression. Identifying CSCs and their related pathways is necessary for the development of new therapeutic targets against tumors. However, the molecular mechanism of CSCs in esophageal squamous cell carcinoma (ESCC) remains elusive. This(More)
Due to the complexity and flexibility of natural language, automatic linguistic knowledge acquisition and its application research becomes difficult. In this paper, we present a machine learning method to automatically acquire Chinese linguistic ontology knowledge from typical corpus. This study, first, defined the description frame of Chinese linguistic(More)