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Search Results: 1 - 10 of 20119 matches for " Jianhua Song "
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The Spatial Distribution Pattern Analysis of City Infrastructure Cases of Urban Management  [PDF]
Jiwei Hou, Jianhua Liu, Siyu Li, Shiran Song, Congcong Li, Yueming Duan, Baoshan Zeng
Journal of Geoscience and Environment Protection (GEP) , 2018, DOI: 10.4236/gep.2018.612002
Abstract: The effective disposal of daily city infrastructure cases is an important issue for urban management. To more effectively utilize a large amount of historical cases data collected and accumulated in the urban grid management system, and to analyze their spatial distribution pattern information for city managers, this study used the comparative kernel density analysis method in two types of cases (i.e. power facilities and traffic guardrail) in Xicheng District, Beijing for the year 2016 and 2017. This research analyzes them at different scales (300 m, 600 m, 1,200 m), and the experiment results show that the method of comparative kernel density analysis is able to provide an intuitively spatial visualization distribution analysis of city infrastructure related cases. The quantitative information of spatial agglomeration degree is helpful for city managers making decision.
Time-resolved laser flash photolysis study on transient reaction between excited triplet state of anthraquinone derivatives (AQS) and 2-deoxythymidine  [PDF]
Jianhua Ma
Natural Science (NS) , 2014, DOI: 10.4236/ns.2014.61001

The transient absorption spectra and kinetics of excited triplet state of anthraquinone derivatives 2-anthraquinonesulfonatesodium (AQS) and 2-deoxythymidine (dT) have been investigated in CH3CN-H2O (97:3) using the time-resolved laser flash photolysis technique (KrF, 248 nm). The absorption spectra of dT radical cation and the radical anion of AQS have been observed. From dynamic and thermodyrnamic analysis, the mechanism of this transient reaction has been initially analysed.

Exploring the Reasons of Popularity of Time-Travel TV Series in Chinese University Students  [PDF]
Jianhua Huang
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.611121
Abstract: Time-travel TV series is a new type between science fiction TV series and myth TV series (Li, 2012). In these years, more and more university students are addicted to it (Sun, 2011). To understand the reasons why time-travel TV series is so popular in those young groups, this paper adopts the structure of close-ended and the Likert-Scale five-point measure questionnaire. We choose 400 university students as the respondents, and they all come from the Southwest University. The questionnaires are randomly delivered to students from different majors and grades. The results are as follows: 1) time-travel novel’s prevalence lays the foundation for the time-travel dramas; 2) romantic love and heroism are the second main reasons of its success, followed by eye-pleasing actors in the TV dramas, and Post-modern aesthetic idea; 3) compared with historical TV drama, time-travel TV series is much more popular, and there are even 24.4% respondents learning history from time-travel TV series; 4) 57% students think time-travel TV dramas have some scientific basis, and some of them (104 students) still believe that those stories can be happen in real life.
The Optimal Hedging Ratio for Contingent Claims Based on Different Risk Aversions  [PDF]
Jianhua Guo
Open Journal of Business and Management (OJBM) , 2019, DOI: 10.4236/ojbm.2019.72030
Abstract: Based on utility theory, this paper firstly combined different utility functions with risk aversion coefficient and constructed different kinds of optimizing problems for hedgers to hedge for stochastic-payment-typed contingent claim, and then, by the aid of dynamic programming theory, effective multi-stage hedging strategy is proposed for different risk-averse hedgers. Lastly, the research results that the optimal hedging ratios for three kinds of utility functions are equivalent and do not relate to the risk aversion coefficient.

Does Japanese encephalitis virus share the same cellular receptor with other mosquito-borne flaviviruses on the C6/36 mosquito cells?
Junping Ren, Tianbing Ding, Wei Zhang, Jianhua Song, Wenyu Ma
Virology Journal , 2007, DOI: 10.1186/1743-422x-4-83
Abstract: Japanese Encephalitis Virus (JEV) is an enveloped positive single stranded RNA virus belonging to genus Flavivirus in the family Flaviviridae. It is the most common agent of viral encephalitis, causing an estimated 50,000 cases annually, of which 15,000 will die and up to 50% of survivors are left with severe residual neurological complications [1,2]. Most cases occur in southern and eastern Asia, but the geographical area affected by JEV is expanding. Outbreaks have been reported in Saipan islands, Torres Straits islands and on Australia mainland in recent years [3-5]. Cases have also occurred among travelers and US servicemen to Asia [6,7].The first step in virus infection requires interaction between the virus attachment proteins (VAP) and cellular receptors. The interaction of VAP and its cellular receptors is known to contribute to host range, tissue tropism and viral pathogenesis. The characteristic and function of virus receptor, once ascertained, may ultimately lead to the production of effective antiviral agents. But what are the cellular receptors for JEV? How the cellular receptors for JEV mediate JEV entry into the host cells?To look for the answers to these questions, the authors made a detailed analysis on the JEV receptors, based upon previous flaviviruses receptor research results on Dengue virus (DV) and West Nile virus (WNV). By analyzing and summarizing the known characteristics of flaviviruses receptors on mosquito cells, we raised a hypothesis stating that a 74-KDa heat shock cognate protein 70(HSC70) may act as a penetration receptor for JEV on mosquito cells.The classic notion of a virus binding to a single receptor to enter cells is being overtaken by the more complex conception. One of the complex concepts is that a virus particle can use multiple (individual) receptors during cell entry. Several viruses use at least two different receptors to interact with their host cells: (i) the binding receptors, which in general allow the virus particl
Group I but not Group II NPV induces antiviral effects in mammalian cells
Changyong Liang,Jianhua Song,Zhihong Hu,Xinwen Chen
Science China Life Sciences , 2006, DOI: 10.1007/s11427-006-2023-0
Abstract: Nucleopolyhedrovirus (NPV) is divided into Group I and Group II based on the phylogenetic analysis. It has been reported that Group I NPVs such as Autographa californica multiple NPV (AcMNPV) can transduce mammalian cells, while Group II NPVs such as Helicoverpa armigera single NPV (HaSNPV) cannot. Here we report that AcMNPV was capable of stimulating antiviral activity in human hepatoma cells (SMMC-7721) manifested by inhibition of Vesicular Stomatitis virus (VSV) replication. In contrast, the HaSNPV and the Spodoptera exigua multiple NPV (SeMNPV) of group II had no inhibitory effect on VSV. Recombinant AcMNPV was shown to induce interferons alpha/beta even in the absence of transgene expression in human SMMC-7721 cells, while it mediated transgene expression in BHK and L929 mammalian cells without an ensuing antiviral activity.
Sulfoalkyl ether β-cyclodextrin derivatives synthesized by a single step method as pharmaceutical biomaterials
AiJing Song,JianHua Wang,ChunDong Liu,LinHong Deng
Chinese Science Bulletin , 2009, DOI: 10.1007/s11434-009-0262-8
Abstract: We report a simple “one pot” single step method to synthesize sulfoalkyl ether β-cyclodextrin (β-CD) derivatives in aqueous solution, which avoids the limitations associated with commonly used organic synthesis of such derivatives including multi-step reactions, use of expensive, toxic, and often environmentally hazardous organic solvents and/or reagents. Using this method, we obtained sulfopropyl and sulfobutyl ethylβ-CDs. We characterized these two derivatives and evaluated their ability to enhance solubility of fluconazole, a commonly used antifungal drug with poor water solubility. Experimental results indicate that these derivatives are structurally analogous to some of the commercially availableβ-CD derivatives. More importantly, when they formed supramolecular inclusion complexes with fluconazole, they demonstrated similar, if not better, capacity to enhance fluconazole solubility compared with commercially available β-CD derivatives, suggesting that the simple “one pot” single step synthesis may provide an effective alternative approach to produce large quantity of β-CD derivatives as pharmaceutical biomaterials for medicinal applications.
Group I but not Group II NPV induces antiviral effects in mammalian cells
LIANG Changyong,SONG Jianhua,HU Zhihong &,CHEN Xinwen,

中国科学C辑(英文版) , 2006,
Abstract: Nucleopolyhedrovirus(NPV) is divided into Group I and Group II based on the phy-logenetic analysis.It has been reported that Group I NPVs such as Autographa californica multiple NPV(AcMNPV) can transduce mammalian cells,while Group II NPVs such as Helicoverpa armigera single NPV(HaSNPV) cannot.Here we report that AcMNPV was capable of stimulating antiviral ac-tivity in human hepatoma cells(SMMC-7721) manifested by inhibition of Vesicular Stomatitis virus(VSV) replication.In contrast,the HaSNPV and the Spodoptera exigua multiple NPV(SeMNPV) of group II had no inhibitory effect on VSV.Recombinant AcMNPV was shown to induce interferons al-pha/beta even in the absence of transgene expression in human SMMC-7721 cells,while it mediated transgene expression in BHK and L929 mammalian cells without an ensuing antiviral activity.
Global Epigenetic State Network Governs Cellular Pluripotent Reprogramming and Transdifferentiation
Ping Wang,Chaoming Song,Hang Zhang,Zhanghan Wu,Jianhua Xing
Quantitative Biology , 2012, DOI: 10.1098/?rsfs.2013.0068
Abstract: How do mammalian cells that share the same genome exist in notably distinct phenotypes, exhibiting differences in morphology, gene expression patterns, and epigenetic chromatin statuses? Furthermore how do cells of different phenotypes differentiate reproducibly from a single fertilized egg? These fundamental questions are closely related to a deeply rooted paradigm in developmental biology that cell differentiation is irreversible. Yet, recently a growing body of research suggests the possibility of cell reprogramming, which offers the potential for us to convert one type of cell into another. Despite the significance of quantitative understandings of cell reprogramming, theoretical efforts often suffer from the complexity of large circuits maintaining cell phenotypes coupled at many different epigenetic and gene regulation levels. To capture the global architecture of cell phenotypes, we propose an "epigenetic state network" approach that translates the classical concept of an epigenetic landscape into a simple-yet-predictive mathematical model. As a testing case, we apply the approach to the reprogramming of fibroblasts (FB) to cardiomyocytes (CM). The epigenetic state network for this case predicts three major pathways of reprogramming. One pathway goes by way of induced pluripotent stem cells (iPSC) and continues on to the normal pathway of cardiomyocyte differentiation. The other two pathways involve transdifferentiation (TD) either indirectly through cardiac progenitor (CP) cells or directly from fibroblast to cardiomyocyte. Numerous experimental observations support the predicted states and pathways.
Instance Segmentation of Outdoor Sports Ground from High Spatial Resolution Remote Sensing Imagery Using the Improved Mask R-CNN  [PDF]
Yijia Liu, Jianhua Liu, Heng Pu, Yuan Liu, Shiran Song
International Journal of Geosciences (IJG) , 2019, DOI: 10.4236/ijg.2019.1010050
Abstract: Aiming at the land cover (features) recognition of outdoor sports venues (football field, basketball court, tennis court and baseball field), this paper proposed a set of object recognition methods and technical flow based on Mask R-CNN. Firstly, through the preprocessing of high spatial resolution remote sensing imagery (HSRRSI) and collecting the artificial samples of outdoor sports venues, the training data set required for object recognition of land cover features was constructed. Secondly, the Mask R-CNN was used as the basic training model to be adapted to cope with outdoor sports venues. Thirdly, the recognition results were compared with the four object-oriented machine learning classification methods in eCognition?. The experiment results of effectiveness verification show that the Mask R-CNN is superior to traditional methods not only in technical procedures but also in outdoor sports venues (football field, basketball court, tennis court and baseball field) recognition results, and it achieves the precision of 0.8927, a recall of 0.9356 and an average precision of 0.9235. Finally, from the aspect of practical engineering application, using and validating the well-trained model, an empirical application experiment was performed on the HSRRSI of Xicheng and Daxing District of Beijing respectively, and the generalization ability of the trained model of Mask R-CNN was thoroughly evaluated.
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