网络信息学及其知识发现前沿与前瞻

大数据时代,新兴前沿技术的迅猛发展对网络计量学提出了新的发展要求,文章在学科信息学的学科体系框架下提出了一个全新的概念——“网络信息学”。从网络信息学兴起的背景出发,概述了从网络计量学到网络信息学的发展过程;明确了网络信息学的概念内涵、数据基础以及关键理论方法技术;重点剖析了在网络信息学框架下,重要跨学科领域的知识发现、学术影响力与竞争力评价等四个方面的知识发现前沿与进展。并由此提出,网络信息学利用新兴前沿信息技术挖掘网络大数据以揭示有价值的知识,是网络大数据时代的网络数据挖掘与知识发现学科,也是网络信息研究新范式的支撑学科,但其发展也存在诸如网络大数据质量的控制、专门技术工具的发展等方面的关键问题。随着网络信息学的深入发展,未来网络大数据知识库、网络信息学专门技术工具及其应用领域都将得到蓬勃发展,网络信息学也或将成为学科信息学的领头学科。

与皮肤性病学相关的网络信息学

Internet包含的网络信息资源非常丰富,应用范围日趋增大。Internet技术的实际操作性很强,其实就是一个上网实践的过程。简单介绍如何利用Internet资源和工具解决实际工作中的常见问题,其中很多共同的方面不仅仅局限于皮肤性病学的研究领域。

基于网络信息计量学的网络课程评价方法的研究

利用网络信息计量学的原理和方法,借鉴网络课程评价规范标准,对网络课程的评价过程进行了研究,提出了一种计量型的网络课程评价方法,能较客观地反映网络课程的质量,有助于网络课程进一步的改进和优化。

Cultivated land information extraction in UAV imagery based on deep convolutional neural network and transfer learning

The development of precision agriculture demands high accuracy and efficiency of cultivated land information extraction. As a new means of monitoring the ground in recent years, unmanned aerial vehicle （UAV） low-height remote sensing technique, which is flexible, efficient with low cost and with high resolution, is widely applied to investing various resources. Based on this, a novel extraction method for cultivated land information based on Deep Convolutional Neural Network and Transfer Learning （DTCLE） was proposed. First, linear features （roads and ridges etc.） were excluded based on Deep Convolutional Neural Network （DCNN）. Next, feature extraction method learned from DCNN was used to cultivated land information extraction by introducing transfer learning mechanism. Last, cultivated land information extraction results were completed by the DTCLE and eCognifion for cultivated land information extraction （ECLE）. The location of the Pengzhou County and Guanghan County, Sichuan Province were selected for the experimental purpose. The experimental results showed that the overall precision for the experimental image 1, 2 and 3 （of extracting cultivated land） with the DTCLE method was 91.7%, 88.1% and 88.2% respectively, and the overall precision of ECLE is 9o.7%, 90.5% and 87.0%, respectively. Accuracy of DTCLE was equivalent to that of ECLE, and also outperformed ECLE in terms of integrity and continuity.

Network Pharmacology-based Analysis on the Molecular Biological Mechanisms of Xin Hui Tong Formula in Coronary Heart Disease Treatment

Objective To investigate the potential molecular mechanism of Xin Hui Tong Formula (XHTF) in the treatment of coronary heart disease (CHD) by using network pharmacology and bioinformatics. Methods The targets network of CHD was constructed through Therapeutic Targets Database (TTD) and Drugbank database;The XHTF pharmacodynamic molecule-targets network and the XHTF pharmacodynamic molecule-CHD targets network were explored by the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP). And the multi-targets mechanism and molecular regulation network of XHTF in the treatment of CHD were explored from multiple perspectives by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) database pathway enrichment analysis. Results A total of 88 CHD targets were screened out through the Therapeutic Targets and the Drugbank database. 393 compounds and corresponding 205 drug targets of XHTF were retrieved from TCMSP. A total of 13 known targets directly related to the development of CHD were retrieved from the disease-related databases: TP53, MAPK14, NFKB1, HSPA5, PLG, PTGS2, ADRB1, NOS2, CYP3A4, GRIA2, CYP2A6, GRIA1, PTGS1. XHTF also contained 118 drug targets that directly interact with CHD targets. GO enrichment analysis showed that the biological processes of 13 direct targets proteins were found to be mainly enriched in response to drug, cellular response to biotic stimulus, long-chain fatty acid metabolic process, fatty acid metabolic process and regulation of blood pressure. KEGG pathway enrichment analysis found that XHTF participated in the CHD pathological process mainly through retrograde endocannabinoid signaling, regulation of lipolysis in adipocytes, cAMP signaling pathway, chemical carcinogenesis and other pathways. Conclusions XHTF plays a role in the treatment of CHD through multiple targets and multiple pathways, and provides a scientific basis for the theory of "virtual standard" in the treatment of CHD.

Wavelet neural network aerodynamic modeling from flight data based on pso algorithm with information sharing and velocity disturbance

For the accurate description of aerodynamic characteristics for aircraft,a wavelet neural network (WNN) aerodynamic modeling method from flight data,based on improved particle swarm optimization (PSO) algorithm with information sharing strategy and velocity disturbance operator,is proposed.In improved PSO algorithm,an information sharing strategy is used to avoid the premature convergence as much as possible;the velocity disturbance operator is adopted to jump out of this position once falling into the premature convergence.Simulations on lateral and longitudinal aerodynamic modeling for ATTAS (advanced technologies testing aircraft system) indicate that the proposed method can achieve the accuracy improvement of an order of magnitude compared with SPSO-WNN,and can converge to a satisfactory precision by only 60 120 iterations in contrast to SPSO-WNN with 6 times precocities in 200 times repetitive experiments using Morlet and Mexican hat wavelet functions.Furthermore,it is proved that the proposed method is feasible and effective for aerodynamic modeling from flight data.

DEAON： dynamically-evolving active overlay networks for scalable information retrieval

In this paper, we propose the dynamically-evolving active overlay network （DEAON）, which is an efficient, scalable yet simple protocol to facilitate applications of decentralized information retrieval in P2P networks. DEAON consists of three novel components ： a Desirable Topology Construction and Adaptation algorithm to guide the evolution of the overlay topology towards a small-world-like graph; a Semantic-based Neighbor Selection scheme to conduct an online neighbor ranking; a Topology-aware Intelligent Search mechanism to forward incoming queries to deliberately selected neighbors. We deploy and compare DEAON with other several existing distributed search techniques over static and dynamic environments. The results indicate that DEAON outperforms its competitors by achieving higher recall rate while using much less network resources, in both of the above environments.

The impact of network technologies on Higher Education Management and Countermeasures

The 21 st century is an era of information technology, network technology is in all areas of life and production and also higher education administration began to apply network technology and network management. However, in the rapid development of information technology today, due to network with their own information technology, high-speed, information-based features are widely used in educational management in universities, so that some common problems on the network has infiltrated into university education management, making College Educational management in the New face new problems and challenges. Through the influence of network technology for Higher Education Management of the research on network technology we make a few constructive suggestions on education management application and Universities.

Study on Microblog Dissemination Law in View ol Forwarding

Forwarding is a major means of information dissemination on the Microblog platform.The article,combining static analysis and dynamic analysis,takes Microblog forwarding as the object of study,and studies the network topology of grass-roots Microblog forwarding users.It also studies the correlation between characteristic quantity and forwarding times of Microblog network topology.Furthermore,it conducts modification on virus transmission model,builds and verifies the Microblog forwarding dynamical model.The study finds out that Microblog postings present qute strong dissemination capacity on the initial stage,and some Microblog postings with many forwarding times and long duration of forwarding process due to the dynamic growth of the forwarding user network and the joining of strong nodes make network infection density decrease in some phases.

The Design and Implementation of the Network Interactive Virtual Experiment Platform for Electronic Information Courses

Experimental teaching plays a crucial role in the trainings of students＇ abilities to analyze and solve problems. Therefore, it is very necessary to continuously carry out experiment teaching reform, improve experiment teaching methods and means, and comprehensively open laboratories so as to provide students with more opportunities of doing experiments. To improve the teaching effect of electronic information experimental courses, a network interactive virtual experimental platform is developed. This platform allows students to finish the construction of all kinds of circuit structures and test virtual instruments in a simulation environment, upload experimental data and also interactively communicate with teachers through the lnternet. The platform can be applied to the teaching activities of related electronic information experimental courses, and also can be used as an aid teaching method for theory teachers. Therefore, it possesses a very good interactivity, and makes up the disadvantages of the experimental teaching in hardware environment, so that a feasible solution is provided for the opening of laboratories.

The study of the influence of network resources on English Teaching under the background of informatization

As an international language, English plays an extremely important role, and it has become the lingua franca of the world. For a long time, inefficiency exists in teaching or learning. Under the learning environment surrounded by native speakers, English, as a symbolic system, appears dull, or even because there is no information given appropriate experience and it becomes abstract. Many students are reluctant to learn after learning for a time, because it is difficult for reality, and it is not easy to consolidate, that 45 minutes of English learning environment also appears to be a little frustrated, as many students who have been admitted to the University said during the learning process of the entire university, they spent seventy percent of their energy to foreign language learning rather than their own major. This not only illustrates the importance of English teaching but also shows its difficult nature, the main reason is our bad English language teaching environment, there is a lack of communication in English language environment, however, the network information and the development of modern multimedia technology has greatly improve the English teaching environment. How to use the Internet information and multimedia technologies to create English learning environment, to optimize English teaching methods and to improve the quality of English teaching.

The analysis of adult English vocabulary learning strategies based on network

The article which is on the basis of English learning and adult learning characteristics, propose adult English vocabulary learning strategies based on network, and it thinks that adult learners are based on making full use of network to provide boundary, it overcomes the flaws of adult English and resist the temptation of other information network, and it takes the right vocabulary memory strategies, cognitive strategies, vocabulary learning metacognitive strategies, affective strategies of vocabulary learning and vocabulary learning society strategy ,then it can achieve good vocabulary learning effect.

A study on the Web intelligence

This paper surveys important aspects of Web Intelligence (WI). WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web - related products, systens, and activities. As a direction for scientific research and devlopment, WI can be extremely beneficial for the field of Artificial Intelligence in Education (AIED). This paper covers these issues only very briefly. It focuses more on other issues in WI, such as intelligent Web services, and semantic web, and proposes how to use them as basis for tackling new and challenging research problems in AIED.

Exploring the Action Mechanism of Yadanzi(Brucea javanica)in the Treatment of Glioblastoma Based on Bioinformatics and Network Pharmacology

ObjectiveThe aim of the study is to explore the molecular mechanism of Yadanzi(Brucea javanica)in the treatment of glioblastoma(GBM)by using the methods of bioinformatics and network pharmacology.Methods The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and literature retrieval method were applied to obtain the active ingredients of Yadanzi(Brucea javanica),and to predict the relevant targets of the active ingredients.The GBM-related targets were retrieved and screened through the Gene Expression Profling Interactive Analysis(GEPIA)database,and mapped to each other with the targets of the components of Yadanzi(Brucea javanica)to obtain the intersection targets.The GBM differentially expressed gene targets were imported into the String database to obtain the protein interaction relationship,the Cytoscape software was used to draw the protein interaction network,the Cytobba and MCODE plug-ins were used to screen the core genes and important protein interaction modules,and the GEPIA database was applied to make survival analysis of the core genes.The network map of“active ingredients-targets”was constructed through the Cytoscape 3.6.1 software.Gene Ontology(GO)biological function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis for GBM differentially expressed genes were performed through the DAVID database.ResultsThrough TCMSP and literature retrieval,23 potential active ingredients and 129 related targets were obtained from Yadanzi(Brucea javanica).In the GEPIA database,247 GBM differentially expressed genes were screened,including 113 upregulated genes and 134 downregulated genes.After mapping with the targets related to the active ingredients of Yadanzi(Brucea javanica),six intersection targets were obtained,that is,the potential action targets of Yadanzi(Brucea javanica)in treating GBM,including MMP2,HMOX1,BIRC5,EGFR,CCNB2,and TOP2A.Cytoscape software was applied to build an“active ingredient-action target”network.Two active ingredients and five action targets of β-sitosterol(BS)and luteolin were found,and the targets were mainly concentrated in BS.It was found by KEGG pathway enrichment analysis that GBM differentially expressed genes were mainly involved in signaling pathways related to Staphylococcus aureus infection,phagosome formation,tuberculosis and systemic lupus erythematosus and other infectious and autoimmune diseases.It was found by GO enrichment analysis that the GBM differentially expressed genes mainly involved such biological processes(BP)as the processing and presentation of exogenous antigenic peptides and polysaccharide antigens through MHC Il molecules,y-interferon-mediated signaling pathways,extracellular matrix composition,and chemical synapses transmission;it involved cellular components such as cell junctions,axon terminal buttons,extracellular space,vesicle membranes for endocytosis,and MHC Il protein complexes;molecular functions such as calcium-mediated ionic protein binding,MHC Il molecular receptor activity,immunoglobulin binding,and phospholipase inhibitor activity were also involved.Survival analysis was conducted by GEPIA on the top 37 core targets in degree value,and a total of five genes related to GBM prognosis were obtained.Among them,FN1 and MMP2 were highly expressed while GABRD(v-aminobutyric acid A receptor delta subunit),RBFOX1,and SLC6A7 were expressed at a low level in cancer patients.Conclusion The pathogenesis of GBM is closely related to the human immune system,and BS and luteolin may be the main material basis of Yadanzi(Brucea javanica)for the treatment of GBM and the improvement of prognosis.The molecular mechanism may be related to the physical barrier formed by destroying the tumor cell stromal 68 Treatment of Glioblastoma Based on Bioinformatics and Network Pharmacology Zhao,Si.molecules and its involvement in tumor immune response.

Development of the Investigation Tool of a Study State and Practical Use of MyPage

Internetwork environment at university has been improved to supply often the lecture materials to students through websites. Along with such a tendency, the number of students who use PC （Personal computer） has also increased during the lesson at university. Hereupon, the authors investigate whether the students will get high scores in tests when some limitations are imposed on the students＇ use of the PC during lecture and when they are not. The authors create the tool to check the students＇ learning situation and to grasp which student is performing the PC operations, which are not related to the ongoing lesson, during the lecture. Teaching assistant carrying the iPad is made to walk around the class during the lecture and collect data of the students. In addition, the authors develop ＂MyPage＂ that the students can be given access to their personal information including individual class absence/tardiness, lesson comprehension and question understanding level of them and after using MyPage, the authors examine its effectiveness as a tool and its relationship with their attendance rate.

Sharp Lower Bound of the Least Eigenvalue of Graphs with Given Diameter

The eigenvalues of graphs play an important role in the fields of quantum chemistry, physics, computer science, communication network, and information science. Particularly, they can be interpreted in some situations as the energy levels of an electron in a molecule or as the possible frequencies of the tone of a vibrating membrane. The diameter of a graph, the maximum distance between any two vertices of a graph, has great impact on the service quality of communication networks. So we were motivated to investigate the sharp lower bound of the least eigenvalue of graphs with given diameter. Let gn. d be the set of graphs on n vertices with diameter d. For any graph G ∈ gn, d, by considering the least eigenvalue of its connected spanning bipartite subgraph, we obtained the sharp lower bound of the least eigenvalue of graph G. Furthermore, an upper bound of Laplacian spectral radius of graph G was given.

A RBF Network Learning Scheme Using Immune Algorithm Based on Information Entropy

A hybrid learning method combining immune algorithm and least square method is proposed to design the radial basis function(RBF) networks. The immune algorithm based on information entropy is used to determine the structure and parameters of RBF nonlinear hidden layer, and weights of RBF linear output layer are computed with least square method. By introducing the diversity control and immune memory mechanism, the algorithm improves the efficiency and overcomes the immature problem in genetic algorithm. Computer simulations demonstrate that the RBF networks designed in this method have fast convergence speed with good performances.

The Role of ICT in the Globalization of Firms

Accelerated globalization since the 1980s and particularly the 1990s and the development of web-based information and communication technologies （ICT） go hand in hand. Nonetheless, there has been little explicit research on the influence of ICT on the globalization of firms. Despite a rich literature of the implementation of ICT and the design of global information systems in firms, the influence of ICT on the globalization of firms has not been explicitly researched from a management perspective. This paper serves to provide an overview on existing literature in this field and to develop a basic framework for the study of the influence of ICT on the globalization of firms. Specifically, the paper reflects on the influence of ICT on the three subprocesses of globalization： internationalization, global network building, and global evolutionary dynamics.

A Research on College English Network Teaching Resources Integration and Utilization in Big Data Era

Based on the background of ＂big-data-blowout＂, this thesis is about research on college English network teaching resources integration and utilization confronted with the chance of ＂data value, the data assets and data say＂, analyzing the inevitable challenge of ＂competition, digital divide and data privacy＂, discussing that the researchers should hold big data thinking of ＂peaks of road ＆ dances with wolves ＆ be interdependent＂, emphasizing the improvement from college English teacher＇s modem education technical information literacy[1] and putting forward to resource integration and utilization strategy in the era of big data.

Promotion of library management and book circulation to research on medical research

With the acceleration of the process of social information, information resources construction has become an important part of national development strategies. The library is one of the main information resources constructions and is an important information resource position of social construction. Computer applications in the book management, greatly improve the management efficiency of the library, and have changed the traditional management service model. Universal service network extends to every comer make reader can read everywhere, breaking the boundaries of time and space and also greatly promoting the modernization of the library. Library modernization, according to the characteristics of the objective law refers library work practices, uses modem technological conditions, rational organization of scientific management of library work, to maximize efficiency and quality and effectively complete the task library. Library essence of modem management techniques is to achieve the modernization of libraries and library management modernization. Modem library information system can be divided into three aspects of building automation libraries, library networks and digital libraries. Digital library management directly reflects a country＇ s level of a regional knowledge economy and information industry development, and digital network resource management in the book gradually dominates.