基于学信网平台的高职院校学籍学历管理探讨与研究

基于学信网平台对学生进行学籍学历管理,准确、实时地按照学籍学历管理制度维护学生信息数据库,客观、真实地反映出学生的学籍学历信息。各高职院校的运行机制逐步完善以及相应保障措施的落实,保证了学籍学历管理工作的顺利开展。

高校学籍管理现状及问题破解

学籍管理是高校管理的一项重要内容。自从2001年实行学历电子注册以来,高校学籍管理经历了一个快速的发展过程。高等教育办学规模的迅速扩大,给学籍管理增加了一定的难度;学籍管理工作人员的频繁流动,导致高校学籍管理工作出现了一些问题。解决这些问题,防范这些问题的再度发生,是高校学籍管理工作的当务之急。

基于电子客票的铁路学生票业务流程再造研究

在阐述业务流程再造基本理论的基础上,分析电子客票背景下铁路学生票业务流程现状,结合铁路学生票业务流程调查结果,总结现有流程存在的问题。提出一种基于中国高等教育学生信息网进行学生身份核验的业务流程再造方案,以替代基于优惠磁卡进行学生身份核验的业务流程。对学生身份核验的实现方式、实施条件及应用流程进行概念性设计,分析其在应用中的可行性并进行优势评价,为铁路学生票业务流程的改善工作提供借鉴。

Nonlinear inversion for magnetotelluric sounding based on deep belief network

To improve magnetotelluric(MT)nonlinear inversion accuracy and stability,this work introduces the deep belief network(DBN)algorithm.Firstly,a network frame is set up for training in different 2D MT models.The network inputs are the apparent resistivities of known models,and the outputs are the model parameters.The optimal network structure is achieved by determining the numbers of hidden layers and network nodes.Secondly,the learning process of the DBN is implemented to obtain the optimal solution of network connection weights for known geoelectric models.Finally,the trained DBN is verified through inversion tests,in which the network inputs are the apparent resistivities of unknown models,and the outputs are the corresponding model parameters.The experiment results show that the DBN can make full use of the global searching capability of the restricted Boltzmann machine(RBM)unsupervised learning and the local optimization of the back propagation(BP)neural network supervised learning.Comparing to the traditional neural network inversion,the calculation accuracy and stability of the DBN for MT data inversion are improved significantly.And the tests on synthetic data reveal that this method can be applied to MT data inversion and achieve good results compared with the least-square regularization inversion.

Weighted Networks Model Based on Traffic Dynamics with Local Perturbation

In the study of weighted complex networks, the interplay between traffic and topology have been paid much attention. However, the variation of topology and weight brought by new added vertices or edges should also be considered. In this paper, an evolution model of weighted networks driven by traffic dynamics with local perturbation is proposed. The model gives power-law distribution of degree, weight and strength, as confirmed by empirical measurements. By choosing appropriate parameters W and δ, the exponents of various power law distributions can be adjusted to meet real world networks. Nontrivial clustering coefficient C, degree assortativity coefficient r, and strength-degree correlation are also considered. What should be emphasized is that, with the consideration of local perturbation, one can adjust the exponent of strength-degree correlation more effectively. It makes our model more general than previous ones and may help reproducing real world networks more appropriately. PACS numbers： 87.23.Kg, 89.75.Da, 89.75.Fb, 89.75.Hc.

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.

Semiotics of the Political Image： The 2012 Mexican Election

This study will attempt to carry out a semiotic analysis of the images that proliferated during the 2012 electoral process in Mexico, from the pre-carnpaign period to June 19, 2012. The analysis carried out here is based on the categories proposed by Eliseo Ver6n pertaining to the study of political images--from analysis of the semiological image to media discoursivities--which fit within the framework of the digital public sphere and participative visual activism. The official candidate websites are taken as sample, along with two Facebook sites which summarize critical images as well as the independent informational sites created by the #YoSoy132 movement.

An Anonymity Scheme Based on Pseudonym in P2P Networks

In this paper, we proposed an anonymity scheme based on pseudonym where peers are motivated not to share their identity. Compared with precious scheme such as RuP （Reputation using Pseudonyms）, our scheme can reduce its overhead and minimize the trusted center＇s involvement.

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.

A Controller-Based Architecture for Information Centric Network Construction and Topology management

Information-Centric Networking(ICN) has recently emerged as a result of the increased demand to access contents regardless of their location in the network services. This new approach facilitates content distribution as a service of the network with lower delay and higher security in comparison with the current IP network. Applying ICN in current IP infrastructure leads to major complexities. One approach to deploy ICN with less complexity is to integrate ICN with Software Defined Networking(SDN). The SDN controller manages the content distribution, caching, and routing based on the users' requests. In this paper, we extend these context by addressing the ICN topology management problem over the SDN network to achieve an improved user experience as well as network performance. In particular, a centralized controller is designed to construct and manage the ICN overlay. Experimental results indicate that this adopted topology management strategy achieves high performance, in terms of low failure in interest satisfaction and reduced download time compared to a plain ICN.

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.

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.

Application of Network Pharmacology to Explore the Mechanism of Yi Xin Tai Formula in Treating Heart Failure

Objective To explore the possible mechanism of Yi Xin Tai Formula(YXTF)in treating heart failure(HF)by network pharmacology method and to verify the related targets by western blotting.Methods Using the traditional Chinese medicine systems pharmacology(TCMSP)database with its analysis platform for HF as a disease model,the active ingredients of YXTF were filtered according to the oral bioavailability(OB)and druglikeness(DL),and the corresponding targets were predicted.The disease targets of HF were retrieved by Human Phenotype Ontology(HPO)database.Then,“YXTF compounds-Targets-HF”network was constructed in the Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)database,the network visualized through the Cytoscape software,and the key nodes of the network achieved according to Degree(D),Closeness Centrality(CC),and Betweenness Centrality(BC).Kyoto Encyclopedia of Genes and Genomes(KEGG)gene function enrichment analysis was carried out for the key nodes with the help of GATHER database platform.The rabbit model of HF was established by coarctation of the abdominal aorta and perfusion of propylthiouracil(PTU).The pathological changes and protein expression of transforming growth factor beta(TGF-β)protein were observed by western blotting.Results“YXTF compounds-Targets-HF”network consisted of 403 nodes,136 key nodes and 10 related KEGG pathways that included focal adhesions,cell cycles,mitogen-activated protein kinase(MAPK)signaling pathways,Toll-like receptor signaling pathways,Cytokine-cytokine receptor interactions,Gap junctions,adherens junctions,TGF-β signaling pathways,apoptosis and Wnt signaling pathways,respectively.The expression of TGF-β protein in myocardium decreased significantly.Conclusions According to the network pharmacology,the treatment of YXTF for HF might be related to 10 metabolic pathways.The effects of the multicompound-multitarget-multi pathways and the synergistic effect drawn from the compounds that act as the monarch,minister,adjuvant,guide medicines were revealed through this study.

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.

On physical education of vocational high school students under the context of IT development

The integration of information technology and the continuous development of the information network make the college physical education degree of information technology constantly improving. College physical education is not only formed in the internal network, then sharing information resources and making sports teaching organization efficient as a whole, but communicate with the external network, formatting the Internet and producing significant changes in the teaching environment of college sports and sports teaching. College physical education is facing the reformation of better educated and digitization, virtualization, molecules, networking, agile and globalization. Physical education and sports teaching degree of information is closely related.

Chinese word segmentation with local and global context representation learning

A local and global context representation learning model for Chinese characters is designed and a Chinese word segmentation method based on character representations is proposed in this paper. First, the proposed Chinese character learning model uses the semanties of loeal context and global context to learn the representation of Chinese characters. Then, Chinese word segmentation model is built by a neural network, while the segmentation model is trained with the eharaeter representations as its input features. Finally, experimental results show that Chinese charaeter representations can effectively learn the semantic information. Characters with similar semantics cluster together in the visualize space. Moreover, the proposed Chinese word segmentation model also achieves a pretty good improvement on precision, recall and f-measure.

College English Teaching Language Information Output Ways Exploration in the Internet age

Language information output plays an important role in students＇ language acquisition process and is an important way to improve students＇ comprehensive language using ability and language level. Because college students＇ English foundation is weak in our country at present stage, there are many problems in the process of language information output. In this case, we can increase the application of Intemet technology as a way to expand language output in English language teaching. This article is to explore college English teaching language information output ways in the Internent age.

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.

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.

Uses of Social Networking Sites and Satisfactions Achieved by Emirati Youth： A Field Study on a Sample of Sharjah University Students

The study, throughout the usage of Emirati youth for the social networking sites and satisfactions achieved, illustrated that the nature of those networks is considered a rapidly developing method of communication, which is accompanied by attempts to impose a number of short abbreviated vocabulary to be used among the youth. Since social networking sites represent one of the most significant tremendous development aspects of information technology, which reached its peak during the last decade, the researcher considered the importance of conducting this study in order to know the impact of social networking sites on the youth through Intemet, blogs and chat rooms, as well as attempting to confront them and making them aware of their importance in their daily lives. Accordingly, the study has focused on a random category of youth, whose ages are ranging between 17-21 years old of university students, as being the highest category of usage. Results revealed the following： A high percentage of Emirati youth 77.5% mentioned that they ＂always＂ use those sites; the percentage of males, who ＂always＂ use social media reached 38.5% while the percentage of females reached 61, since the meaningful value reached 0.05〉0.044, which indicated that WhatsApp, YouTube, Twitter and Facebook are the most commonly used social media by the study individuals. Most of the study individuals use the social networking sites daily 84%, and there are statistically significant differences between males and females in terms of the times of using social media. A high percentage of the Emirati youth uses Internet for more than three hours daily; especially in the evenings, and there are not statistically significant differences between males and females in terms of the most common periods in which social media are used, and the most common age groups of using social media from one year and more range between 17-20. ＂Home＂ is the most favorite place of using social media （85.40% mentioned that）. Most of the study individuals can make a balance between spending time on Internet and spending time with people outside the world of Internet. The percentage of those, who mentioned that social networking sites affected them positively, was higher than the percentage of the ones, who mentioned that the social media affected them negatively. Among the most prominent usages of social media by the Emirati youth are： staying informed about news and current events, while most of them focused on chatting, followed by sharing photos and images. Most of the sample of study mentioned that the youth are just readers, who comment on what is shared and posted on the social media. The most prominent motives of the Emirati youth for using social media are represented in obtaining information, and communicating with others, which came on top of the motives relevant to the usage of social media, followed by entertainment, education, followed by various motives, including routine etc. Some of the most significant satisfactions achieved through using the social networking sites by the Emirati youth are entertainment and spending leisure time with others.