Jun Zhang

Shanghai University, Shanghai, Shanghai Shi, China

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Publications (20)9.31 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: Text representation is one of the most fundamental works in text comprehension, processing, and search. Various works have been proposed to mine the semantics in texts and then to represent them. However, most of them only focus on how to mine semantics from the text itself while the background knowledge, which is very important to text understanding, is not taken into consideration. In this paper, on the basis of human cognitive process, we propose a multi-level text representation model within background knowledge, called TRMBK. It is composed of three levels, which are machine surface code (MSC), machine text base (MTB) and machine situational model (MSM). All of the three are able to be automatically constructed to acquire semantics both inside and outside of the text. Simultaneously, we also propose a method to automatically establish background knowledge and offer supports for the current text comprehension. Finally, experiments and comparisons have been presented to show the better performance of TRMBK.
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on; 01/2013
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    ABSTRACT: The metabolic response to gastrointestinal cancer in patients undergoing surgery is associated with hypermetabolism and insulin resistance. The potential use of synergetic anabolic hormones in conjunction with hypocaloric parenteral nutrition (HPN) has become a significant area of investigation. The presented study was performed to determine the clinical efficiency and safety of hormone therapy combined with HPN in patients with gastrointestinal cancer. One hundred patients with a Nutrition Risk Screening score of 3 or 4 undergoing surgery for gastrointestinal cancer were randomized into two groups. The patients in the control group received standard total parenteral nutrition and systemic insulin. The patients in the study group received HPN and systemic insulin in addition to pretreatment with recombinant human growth hormone and octreotide. Clinical efficiency and safety were evaluated by the measurement of hormones and protein metabolites, immune function, clinical outcome, and adverse events. Follow-ups were performed to determine the influence on prognosis. Treatment with recombinant human growth hormone, octreotide, and insulin in combination with HPN significantly increased protein synthesis, immune function, and metabolic tolerance, decreased infectious complications, and shortened postoperative hospital stays, but did not increase the risk of tumor development and recurrence in the study group compared with the control group. The proper short-term perioperative administration of growth hormone, somatostatin, and insulin in combination with HPN can overcome the postoperative stress response through the increase of protein synthesis to improve immune function in patients with gastrointestinal cancer after surgery.
    Nutrition 06/2011; 27(6):633-40. · 2.86 Impact Factor
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    ABSTRACT: Dealing with the large-scale text knowledge on the Web has become increasingly important with the development of the Web, yet it confronts with several challenges, one of which is to find out as much semantics as possible to represent text knowledge. As the text semantic mining process is also the knowledge representation process of text, this paper proposes a text knowledge representation model called text semantic mining model TSMM based on the algebra of human concept learning, which both carries rich semantics and is constructed automatically with a lower complexity. Herein, the algebra of human concept learning is introduced, which enables TSMM containing rich semantics. Then the formalization and the construction process of TSMM are discussed. Moreover, three types of reasoning rules based on TSMM are proposed. Lastly, experiments and the comparison with current text representation models show that the given model performs better than others.
    IJCINI. 01/2011; 5:80-96.
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    ABSTRACT: Association Link Network (ALN) is proposed to establish association relations among Web resources, aiming at extending the hyperlink-based Web to an association-rich network and effectively supporting Web intelligence activities, such as Web-based learning. However, it is difficult to build the ALN one-off by direct computing since the huge number and quickly increasing learning resources on the Web. Thus, how to rapidly and accurately acquire the association relations between the new coming and existing learning resources has become a challenge in the incrementally building process of ALN. In this paper, a new algorithm is developed for incrementally updating ALN to cater for the dynamic management of learning resources increasing with time.
    Advances in Web-Based Learning - ICWL 2011 - 10th International Conference, Hong Kong, China, December 8-10, 2011. Proceedings; 01/2011
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    ABSTRACT: The acquisition of deep textual semantics is a key issue on the process of text understanding which improves the performances of e-learning, web search and web services significantly. Though many methods have been developed to acquire textual semantics, the acquisition of deep textual semantics is still a challenge issue. Herein, the acquisition method of deep textual semantics is developed to enhance the capability of text understanding of machine, including two parts:1) how to obtain and organize the domain knowledge extracted from domain text set; 2) how to stimulate the domain knowledge for obtaining the deep textual semantics. The activation process involves two cognitive mechanisms; one is the Landscape model and the other is human memory system model. The former model is a human reading model. The later model describes the memory change in the text reading process. Generalized semantic field is proposed to store the domain knowledge as the form of Long Time Memory (LTM). Specialized semantic field, which is acquired by the interaction between the text fragment and the domain knowledge, is introduced to describe the change process of textual semantics. By their mutual actions, we can get the deep textual semantics which enhances the capability of text understanding of machine; therefore, the machine can understand the text more precisely and correctly than those methods which only obtain surface textual semantics.
    Proceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2011, 18-20 August 2011, Banff, Alberta, Canada; 01/2011
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    ABSTRACT: The measurement of textual complexity is a fundamental issue on e-learning, online question-answering, web search and browsing, etc. But it is still a challenge because the measuring process includes a series of cognitive mechanisms. According to the properties of cognitive principles in human text reading process, the different derivatives of textual keywords are given. Based on the categorical invariance in human conception learning, textual invariance is defined, and then the measuring method of textual complexity is developed which is consistent with the view of categorical invariance in human concept learning. Experiments prove that there is a strong correlation between the text understanding difficulty given by human and the textual complexity measured by our method. That is to say, the proposed method can reflect human's reading experience to some extent.
    Proceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2011, 18-20 August 2011, Banff, Alberta, Canada; 01/2011
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    ABSTRACT: The X protein (HBx) of hepatitis B virus (HBV) is involved in the development of hepatocellular carcinoma (HCC), and methionine adenosyltransferase 2A (MAT2A) promotes the growth of liver cancer cells through altering S-adenosylmethionine homeostasis. Thus, we speculated that a link between HBx and MAT2A may contribute to HCC development. In this study, the effects of HBx on MAT2A expression and cell apoptosis were investigated, and the molecular mechanism by which HBx and MAT2A regulate tumorigenesis was evaluated. Results from immunohistochemistry analyses of 37 pairs of HBV-associated liver cancer tissues/corresponding peritumor tissues showed that HBx and MAT2A are highly expressed in most liver tumor tissues. Our in vitro results revealed that HBx activates MAT2A expression in a dose-dependent manner in hepatoma cells, and such regulation requires the cis-regulatory elements NF-κB and CREB on the MAT2A gene promoter. Electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation (ChIP) further demonstrated that HBx facilitates the binding of NF-κB and CREB to MAT2A gene promoter. In addition, overexpression of HBx or MAT2A inhibits cell apoptosis, whereas knockdown of MAT2A expression stimulates apoptosis in hepatoma cells. Furthermore, we demonstrated that HBx reduces MAT1A expression and AdoMet production but enhances MAT2β expression. Thus, we proposed that HBx activates MAT2A expression through NF-κB and CREB signaling pathways to reduce AdoMet production, inhibit hepatoma cell apoptosis, and perhaps enhance HCC development. These findings should provide new insights into our understanding how the molecular mechanisms underline the effects of HBV infection on the production of MAT2A and the development of HCC.
    Journal of Biological Chemistry 01/2011; 286(19):17168-80. · 4.65 Impact Factor
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    ABSTRACT: The origin of natural gases in central Tarim Basin is very complicated and there has been no definite conclusion in this aspect. Based on the results of systematic research on their composition and carbon isotopic characteristics, natural gases in central Tarim Basin are composed mainly of hydrocarbon gas, Ordovician natural gas with the characteristics of crude oil-cracking gas, and Carboniferous natural gas not only originating from kerogen cracking, but also from oil cracking. There are significant differences in composition and carbon isotope of natural gases between the eastern and western areas. The causes for the differences in geochemical characteristics of natural gases are presented as follows: different thermal evolution degrees of organic matter. Natural gases in the western region may have generated from the Middle-Upper Ordovician source rocks, and natural gases in the eatern region may be derived from the Cambrian source rocks, which entered into high to over mature stages; the gases migrated from west to east and caused the different compositional and carbon isotopic characteristics of natural gases; difference in the strength of thermal sulfate reduction between the eastern and western parts, with the reduction in the eastern part being stronger than that in the western part.
    Chinese Journal of Geochemistry 01/2011; 30(1):75-83.
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    Xiangfeng Luo, Xiao Wei, Jun Zhang
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    ABSTRACT: Fuzzy Cognitive Maps (FCMs) can be used to design game-based learning systems for their excellent ability of concept representation and reasoning. However, they cannot 1) acquire new knowledge from data and 2) correct false prior knowledge, thus reducing the game-based learning ability. This paper utilizes Hebbian Learning Rule to solve the first problem and uses Unbalance Degree to solve the second problem. As a result, an improved FCM gains the ability of self-learning from both data and prior knowledge. The improved FCM, therefore, is intelligent enough to work as a teacher to guide the study process. Based on the improved FCM, a novel game-based learning model is proposed, including a teacher submodel, a learner submodel, and a set of game-based learning mechanisms. The teacher submodel has enough knowledge and intelligence to deduce the answers by the improved FCM. The learner submodel records students' study processes. The game-based learning mechanism realizes the guided game-based learning process with the support of the teacher submodel. A driving training prototype system is presented as a case study to present a way to realize a real system based on the proposed models. Extensive experimental results justify the model in terms of the controlling and guiding the study process of the student.
    IEEE Transactions on Learning Technologies 01/2010; 3:344-357. · 0.76 Impact Factor
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    ABSTRACT: Similar Link Network (SiLN) is a semantic over layer on Web resources with similar relations instead of hyperlinks, which aims at providing plentiful semantics for intelligent Web activities. However, SiLN is difficult to be built based on cosine computation in large-scale Web resources due to its high building time complexity and weak connectivity. Herein, three strategies are proposed to address those issues. First, dividing and conquering strategy is applied to divide the large-scale Web resources into amounts of rough similar communities, which reduces SiLN's building time complexity significantly. After that, a multi-level structure network is designed to effectively manage the large-scale Web resources to guarantee SiLN's connectivity. Finally, two-level feedback with isolated resources strategy is developed to improve the accuracy of the building of SiLN. Experimental results have proved that our proposed method of building SiLN is feasible and efficient, with the merits of low complexity, good connectivity and high precision.
    IEEE 16th International Conference on Parallel and Distributed Systems, ICPADS 2010, 8-10 Dec. 2010, Shanghai, China; 01/2010
  • Xiangfeng Luo, Xiao Wei, Jun Zhang
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    ABSTRACT: Fuzzy Cognitive Map (FCM) can be used to design game-based learning systems because it has the excellent ability of concept representation and reasoning. However, it can not (1) get new knowledge from existing data and (2) correct false transcendental knowledge by itself, which mars the game-based learning ability. This paper utilizes Hebbian learning rule to solve the first problem and uses unbalance degree to solve the second problem. As a result, the improved FCM has the ability of self-learning from both existing data and priori knowledge, and is more suitable for a game-based learning system. Based on the improved FCM, a novel game-based learning model is proposed, including a teacher submodel, a learner submodel and a set of learning mechanisms. The teacher submodel has the standard answers which can be deduced from the improved FCM. The learner submodel is bulit and adjusted according to the teacher's FCM, which reflects the learner's learning process. The learning mechanisms compute the difference between the outputs of the teacher submodel and the learner submodel, and control the whole game learning process according to the difference. Based on the proposed model, an automobile driving learning system is developed to prove the effectiveness of the proposed model. Extensive experimental results demonstrate our model validity in terms of controlling the learning process and the guiding learners learning.
    01/2009;
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    ABSTRACT: l-Proline-catalyzed reaction of ethyl 4,4,4-trifluoroacetoacetate, cinnamaldehyde and anilines provide a novel method for preparation of ethyl-6-(arylamino)-2-hydroxy-4-phenyl-2-(trifluoromethyl)tetrahydro-2H-pyran-3-carboxylate derivatives in good yields. The reaction was conducted by initial Michael addition, followed by intra-molecular cyclization under mild conditions. The structure of a typical ethyl-2-hydroxy-4-phenyl-6-(m-tolylamino)-2-(trifluoromethyl)tetrahydro-2H-pyran-3-carboxylate (4h) was confirmed by XRD analysis. A plausible mechanism is presented.
    Journal of Fluorine Chemistry - J FLUORINE CHEM. 01/2009; 130(5):488-492.
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    ABSTRACT: ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
    ChemInform 01/2009; 40(40).
  • [Show abstract] [Hide abstract]
    ABSTRACT: ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
    ChemInform 01/2009; 20(3):123-130.
  • Acta Crystallographica Section E-structure Reports Online - ACTA CRYSTALLOGR E-STRUCT REP. 01/2008; 64(7).
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    ABSTRACT: In the title compound, C(29)H(27)Cl(2)N(5)O(2)·C(4)H(8)O, the polycyclic system is composed of three parts: one central pyridine ring substituted by two functionalized pyrazoline rings. The dihedral angles between the central pyridine plane and pyrazoline planes are 5.11 (1) and 13.99 (1)°, whereas the dihedral angles between each chloro-phenyl plane and the attached pyrazoline planes are 88.65 (1) and 83.87 (1)°. Mol-ecules are linked by inter-molecular C-H⋯O hydrogen bonds, forming a three-dimensional network.
    Acta Crystallographica Section E Structure Reports Online 01/2008; 64(Pt 7):o1334. · 0.35 Impact Factor
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    ABSTRACT: The title compound, C(29)H(27)Cl(2)N(5)O(2), contains a central pyridine ring and two functionalized pyrazoline rings. The pyridine ring and the two attached pyrazoline rings are nearly coplanar, whereas the terminal chloro-phenyl rings are nearly perpendicular to the attached pyrazoline rings [dihedral angles = 86.78 (1) and 77.70 (1)°]. Mol-ecules are linked by weak inter-molecular C-H⋯O hydrogen bonding.
    Acta Crystallographica Section E Structure Reports Online 01/2008; 64(Pt 9):o1700. · 0.35 Impact Factor
  • Acta Crystallographica Section E-structure Reports Online - ACTA CRYSTALLOGR E-STRUCT REP. 01/2008; 64(9).
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    ABSTRACT: The title compound, C15H17N7OS, is a new heterocyclic compound and this is the first time its synthesis has been reported. The compound, which contains a 1,2,4-triazole ring, a pyridine ring and a pyrazole ring, has potential biological activity and pharmacological properties. Molecules are linked by intermolecular N—H...N hydrogen bonds.
    Acta Crystallographica Section E Structure Reports Online 09/2007; 63(9). · 0.35 Impact Factor
  • Acta Crystallographica Section E-structure Reports Online - ACTA CRYSTALLOGR E-STRUCT REP. 01/2007; 63(9).