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The interaction of miRNA and lncRNA is known to be important for gene regulations. However, the number of known lncRNA-miRNA interactions is still very limited and there are limited computational tools available for predicting new ones. Considering that lncRNAs and miRNAs share internal patterns in the partnership between each other, the underlying lncRNA-miRNA interactions could be predicted by utilizing the known ones, which could be considered as a semi-supervised learning problem. It is shown that the attributes of lncRNA and miRNA have a close relationship with the interaction between each other. Effective use of side information could be helpful for improving the performance especially when the training samples are limited. In view of this, we proposed an end-to-end prediction model called GCLMI (Graph Convolution for novel lncRNA-miRNA Interactions) by combining the techniques of graph convolution and auto-encoder. Without any preprocessing process on the feature information, our method can incorporate raw data of node attributes with the topology of the interaction network. Based on a real dataset collected from a public database, the results of experiments conducted on k-fold cross validations illustrate the robustness and effectiveness of the prediction performance of the proposed prediction model. We prove the graph convolution layer as designed in the proposed model able to effectively integrate the input data by filtering the graph with node features. The proposed model is anticipated to yield highly potential lncRNA-miRNA interactions in the scenario that different types of numerical features describing lncRNA or miRNA are provided by users, serving as a useful computational tool.

with the rapid growth of online learning resources, users are facing the problems of information overload in the process of online learning. Improving information precision service has become the primary task of distance learning. The paper optimizes the research on the precise service technology and methods of distance learning using the big data analysis technology, and improves the pertinence and individuation of obtaining distance learning services, realizes the individualized teaching under the support of computer and network information technology, enhances the level of distance learning service and knowledge dissemination efficiency, and promote Internet plus education data service industry development.

With the rapid development of streaming media and cloud technology, new opportunities have been brought to the progress of network distance education. In order to solve the bottleneck problem of data processing, cloud computing architecture and mode are adopted to ensure the data processing ability of the platform. The design of distance learning platform based on cloud technology is given, and CDN (Content Delivery Network) and flash P2P (peer to peer) is used in the streaming media service system. The stability of data and the user experience effect is improved.

With the rapid development of wireless communication networks and mobile terminal technology, it has an important significance for improving the cultural quality of farmers and the rural information level that researching the key technology of personalized learning for farmers based on wireless network. The research progress of personalized service was introduced based on reading a large number of domestic and foreign related research literature. The personalized recommendation technology, the recommendation algorithm and measure method was given in the research of personalized technology. The personalized recommendation system was designed and tested, the result could need the users need. Finally the problems and future research directions in the personalized system is summarized.

With the rapid development of distance education, distance educations teaching resources has a number of large, but, it is difficult to find suitable courseware resources in time. The system constructs and improves the user interest model of the vector space, through the analysis of user behavior. The system uses the content-based recommendation algorithm, user-base collaborative recommendation and item-base collaborative recommendation algorithm to implement distance education resource recommender system. So as to provide distance education personalized recommendation web application technology as far as possible to meet the user needs, enhance the user experience of distance education system.

This paper briefly describes the characteristics of two-dimensional code technology and realistic foundation, combined with the existing conditions and characteristics of distance education platform stream media system. Firstly, expounds the application value of two-dimensional code in the remote education platform, and then details and description of the application of two-dimensional code the Distance Education system architecture and system design and implementation of intelligent mobile phone client. From the analysis of application value to practical application of the two-dimensional code technology, state clearly that the application of two-dimensional code can further enhance the distance education platform service level, service ability, can provide better service for remote user education.

This paper proposed a model of combination recommendation, focusing on analysis and comparison of content filtering recommendation technology and collaborative filtering recommendation technology based on the mainstream personalized recommendation technology, and the model working process is given. For how to solve the problem of sparse and cold start, the paper gave the solve methods, and discussed the process of combination recommendation algorithm, and then introduced a method of developing and designing personalized courseware recommendation system of rural modern distance learning, and introduced the optimization measures of functional modules and performance. It provides a useful reference for distance education site to carry out personalized training services for rural adult users.

The platform of rural distance learning (PRDL) is an interactive tool used to farmers for the video training, interactive consulting, teaching and management with the features of resource integration, safe, and reliable. PRDL was dual-network transmission structure via the Internet and E-government network, covering all the Beijings towns and villages, which is applied media asset management technology to build a municipal teaching resource library. The problems of PRDL are solved such as complex network for rural areas, limited bandwidth resources and diverse user needs base on in-depth study of distance learning key technologies. It is for farmers learning modern agricultural technology to provide a strong support.

Android system has become the world's most widely used phone platform, overtaking Symbian in the fourth quarter of 2010, and the software of choice for technology companies who require a low-cost, customizable, lightweight operating system for high tech devices without developing one from scratch, so it is possible used in rural distance learning. The text introduced a method of rural distance learning based on Android system, and the software design is given, the test effect is shown. The terminal users can get the information service through the Android system phone, which is suitable for rural users.

Network public opinion analysis, which is through the analysis of the situation of public opinion, can reflect the true society and public opinion, and on this basis, a reasonable forecast and recommendations decision-making can be provided for relevant managers. The paper studies on agricultural science and technology related website, and realize internet public opinion analysis for agriculture science and technology site. The network public opinion hotspots found technology is studied. It is achieved internet public opinion hotspots monitoring and found through the network information automatically grab and information classification. It is provided an analytical basis for managers to grasp the ideological trends in the network and make the correct guidance.

Traditional distance learning is based on wire network, such as internet, cable television network, telephone network and so on. With the development of wireless mobile network, there are many advantages such as without time and space limit, so it can bring some chance for distance learning video living and video on demand. In the text, we discussed distance learning history and development, wireless network development, and the designing video living and video on demand based on wireless mobile network, at last, the conclusion was given. The terminal users can get distance learning video living and video on demand service through the wireless network.

The platform of rural distance learning is an interactive tool used to farmers for the video training, interactive consulting, teaching and management with the features of resource integration, safe, and reliable. The platform was dual-network transmission structure via the Internet and E-government network, covering all the Beijing’s towns and villages, which is applied media asset management technology to build a municipal teaching resource library. The problems of the platform are solved such as complex network for rural areas, limited bandwidth resources and diverse user needs base on in-depth study of distance learning key technologies. The system was easy to deploy, highly scalable, and low cost operation. It is for farmers learning modern agricultural technology to provide a strong support.