Integration and development of energy and information network in the Pan-Arctic region

The Global Energy Interconnection is an important strategic approach used to achieve efficient worldwide energy allocation.The idea of developing integrated power,information,and transportation networks provides increased power interconnection functionality and meaning,helps condense forces,and accelerates the integration of global infrastructure.Correspondingly,it is envisaged that it will become the trend of industrial technological development in the future.In consideration of the current trend of integrated development,this study evaluates a possible plan of coordinated development of fiber-optic and power networks in the Pan-Arctic region.Firstly,the backbone network architecture of Global Energy Interconnection is introduced and the importance of the Arctic energy backbone network is confirmed.The energy consumption and developmental trend of global data centers are then analyzed.Subsequently,the global network traffic is predicted and analyzed by means of a polynomial regression model.Finally,in combination with the current construction of fiber-optic networks in the Pan-Arctic region,the advantages of the integration of the fiber-optic and power networks in this region are clarified in justification of the decision for the development of a Global Energy Interconnection scheme.

Enforcement of Regulations of the People's Republic of China on Disclosure of Government Information and Continual Development of a Group of Basic Human Rights

Introduction 2013 saw the sixth anniversary of the formulation of Regulations of the People＇s Republic of China on Disclosure of Government Information （hereinafter referred to as the Regulations） and the fifth anniversary of their being put into effect. As the Regulations were stipulated and put into force,

Exploring the Potentialities of Automatic Extraction of University Webometric Information

Purpose:The main objective of this work is to show the potentialities of recently developed approaches for automatic knowledge extraction directly from the universities’websites.The information automatically extracted can be potentially updated with a frequency higher than once per year,and be safe from manipulations or misinterpretations.Moreover,this approach allows us flexibility in collecting indicators about the efficiency of universities’websites and their effectiveness in disseminating key contents.These new indicators can complement traditional indicators of scientific research(e.g.number of articles and number of citations)and teaching(e.g.number of students and graduates)by introducing further dimensions to allow new insights for“profiling”the analyzed universities.Design/methodology/approach:Webometrics relies on web mining methods and techniques to perform quantitative analyses of the web.This study implements an advanced application of the webometric approach,exploiting all the three categories of web mining:web content mining;web structure mining;web usage mining.The information to compute our indicators has been extracted from the universities’websites by using web scraping and text mining techniques.The scraped information has been stored in a NoSQL DB according to a semistructured form to allow for retrieving information efficiently by text mining techniques.This provides increased flexibility in the design of new indicators,opening the door to new types of analyses.Some data have also been collected by means of batch interrogations of search engines(Bing,www.bing.com)or from a leading provider of Web analytics(SimilarWeb,http://www.similarweb.com).The information extracted from the Web has been combined with the University structural information taken from the European Tertiary Education Register(https://eter.joanneum.at/#/home),a database collecting information on Higher Education Institutions(HEIs)at European level.All the above was used to perform a clusterization of 79 Italian universities based on structural and digital indicators.Findings:The main findings of this study concern the evaluation of the potential in digitalization of universities,in particular by presenting techniques for the automatic extraction of information from the web to build indicators of quality and impact of universities’websites.These indicators can complement traditional indicators and can be used to identify groups of universities with common features using clustering techniques working with the above indicators.Research limitations:The results reported in this study refers to Italian universities only,but the approach could be extended to other university systems abroad.Practical implications:The approach proposed in this study and its illustration on Italian universities show the usefulness of recently introduced automatic data extraction and web scraping approaches and its practical relevance for characterizing and profiling the activities of universities on the basis of their websites.The approach could be applied to other university systems.Originality/value:This work applies for the first time to university websites some recently introduced techniques for automatic knowledge extraction based on web scraping,optical character recognition and nontrivial text mining operations(Bruni&Bianchi,2020).

我国农业信息化主体经济行为分析

文章首先介绍了我国农业信息化发展的现状及其中问题;然后从农业信息化发展机制的角度,对农业信息化参与主体的行为进行了分析,指出我国农业信息化发展机制不具备使农业信息化快速发展的内生能力;最后提出对策及建议。

信息化时代的农村教育发展策略

信息化是时代快速发展的要求,是民族振兴的要求,是国家发展的要求。在这个时代背景下,对于存在诸多问题与困难却处于重要战略地位的农村教育,要立足于"两种需求"与"两种可能"的契合,从3个层次上着手,坚持"自上而下"与"自下而上"并施的发展策略以促进农村的教育信息化发展。

基于大数据分析的学习评价

针对目前高校课程评价手段单一,不能满足学生个性化学习的要求,本文提出了一种具有个性化和发展性特征的学习评价模型。该模型基于学生课堂教学、课外自学和部分日常生活构成的大数据,通过数据挖掘技术,给出课程学习过程中对每个学生的评价。学习评价关注学习的每个阶段,给出的建议符合学生个性化要求,并可帮助教师因材施教。教学实践结果显示,这种学习评价有助于改善学生的学习。

面向智慧教育的教学大数据实践框架构建与趋势分析

随着国内智慧教育实践探索的推进,教育大数据在推动教育创新发展与科学变革上的核心价值逐步凸显。文章从学校导入教育大数据项目、教学大数据的建设与应用以及数据驱动的精准教学范式四个方面构建了教学大数据的实践框架,提出了国内教学大数据发展的六大趋势:数据贯通教学全流程,助力教师教学活动的精准化设计与实施;全维度、多模态教学数据的采集与分析成为学习分析技术的重点关注方向;各级教育管理者与教师的数据意识逐步增强,数据素养教育日益受到重视;教育大数据项目率先在区、校两个层面落地探索,企业成为核心参与者;大数据与教学实践的融合价值开始显现,公众认知度逐步提升;智慧课堂与学业测评作为大数据应用的先导区和热点区,将受到政府、企业、学校以及家长的更多关注。文章最后分析了国内教学大数据发展面临的五大现实挑战,即教师数据处理能力不足、线下学习数据采集困难、校企合作机制与规约机制不清晰、教育大数据产品独立运行、数据分析模型的科学性及准确性有待提升,并提出相关发展建议,期望对我国教学大数据的建设与应用提供一定指导。

Sustainable development and geospatial information:a strategic framework for integrating a global policy agenda into national geospatial capabilities

The 2030 Agenda for Sustainable Development provides a new global policy to guide the way countries collectively manage and transform the social,economic,and environmental dimensions of people and the planet over the next 15 years.Achieving sustainable development presents all countries and the global policy community with a set of significant development challenges that are almost entirely geographic in nature.Many of the issues impacting sustainable development can be analyzed,modeled,and mapped within a geographic context,which in turn can provide the integrative framework necessary for global collaboration,consensus and evidence-based decision-making.However,and despite significant advances in geospatial information technologies,there is a lack of awareness,understanding and uptake,particular at the policy and decision-making level,of the vital and integrative role of geospatial information and related enabling architectures such as National Spatial Data Infrastructures.This paper reasons that the role of geospatial information in contributing to sustainable development has not adequately been described by either the sustainable development policy practice or by the geospatial professional community.This lack of policy and guidance,with commensurate critical gaps and connection points with national geospatial frameworks,is a visible impediment to developing countries and those most affected by the challenges and need to achieve sustainable development.The global geospatial community now has a unique opportunity to integrate and connect geospatial information into the global development agenda in a more holistic and sustainable manner,specifically in contributing their data resources toward measuring and monitoring the 17 Sustainable Development Goals,and their 169 associated targets,through the global indicator framework that anchors the 2030 Agenda for Sustainable Development.This paper introduces and discusses a new strategic framework for linking a global policy to national geospatial capabilities.

Comparative Analysis and Fuzzy Selection of Information System Development Approach

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Priorities for Social and Humanities Projects Based on Text Analysis

Purpose:Changes in the world show that the role,importance,and coherence of SSH(social sciences and the humanities)will increase significantly in the coming years.This paper aims to monitor and analyze the evolution(or overlapping)of the SSH thematic pattern through three funding instruments since 2007.Design/methodology/approach:The goal of the paper is to check to what extent the EU Framework Program(FP)affects/does not affect research on national level,and to highlight hot topics from a given period with the help of text analysis.Funded project titles and abstracts derived from the EU FP,Slovenian,and Estonian RIS were used.The final analysis and comparisons between different datasets were made based on the 200 most frequent words.After removing punctuation marks,numeric values,articles,prepositions,conjunctions,and auxiliary verbs,4,854 unique words in ETIS,4,421 unique words in the Slovenian Research Information System(SICRIS),and 3,950 unique words in FP were identified.Findings:Across all funding instruments,about a quarter of the top words constitute half of the word occurrences.The text analysis results show that in the majority of cases words do not overlap between FP and nationally funded projects.In some cases,it may be due to using different vocabulary.There is more overlapping between words in the case of Slovenia(SL)and Estonia(EE)and less in the case of Estonia and EU Framework Programmes(FP).At the same time,overlapping words indicate a wider reach(culture,education,social,history,human,innovation,etc.).In nationally funded projects(bottom-up),it was relatively difficult to observe the change in thematic trends over time.More specific results emerged from the comparison of the different programs throughout FP(top-down).Research limitations:Only projects with English titles and abstracts were analyzed.Practical implications:The specifics of SSH have to take into account—the one-to-one meaning of terms/words is not as important as,for example,in the exact sciences.Thus,even in co-word analysis,the final content may go unnoticed.Originality/value:This was the first attempt to monitor the trends of SSH projects using text analysis.The text analysis of the SSH projects of the two new EU Member States used in the study showed that SSH’s thematic coverage is not much affected by the EU Framework Program.Whether this result is field-specific or country-specific should be shown in the following study,which targets SSH projects in the so-called old Member States.

A Tailor-made Data Quality Approach for Higher Educational Data

Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register(ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approach: The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data. This methodology has an operational and empirical orientation. This means that the proposed checks do not assume any theoretical distribution for the determination of the threshold parameters that identify potential outliers, inconsistencies, and errors in the data. Findings: We show that the proposed cross-sectional checks and multiannual checks are helpful to identify outliers, extreme observations and to detect ontological inconsistencies not described in the available meta-data. For this reason, they may be a useful complement to integrate the processing of the available information.Research limitations: The coverage of the study is limited to European Higher Education Institutions. The cross-sectional and multiannual checks are not yet completely integrated.Practical implications: The consideration of the quality of the available data and information is important to enhance data quality-aware empirical investigations, highlighting problems, and areas where to invest for improving the coverage and interoperability of data in future data collection initiatives.Originality/value: The data-driven quality checks proposed in this paper may be useful as a reference for building and monitoring the data quality of new databases or of existing databases available for other countries or systems characterized by high heterogeneity and complexity of the units of analysis without relying on pre-specified theoretical distributions.

Meta-synthesis of big data impacts on information systems development

Nowadays,it is common to think about big data and its consequences,especially in information systems(IS)room.This study investigated the effects of big data on the design and development of IS,and 167 articles were examined using meta-synthesis and the articles were selected for data extraction.Critical Appraisal Skills Program(CASP)was used to evaluate the quailty of the selected articles.The findings indicate that volume affects the layer of software engineering tools,but variety and velocity affect the layer of software engineering methods.Therefore,for the development of IS,it is essential to develop systems with specific capabilities.

STATISTICAL INFORMATION OF THE DEVELOPMENT OF CHINA'S HEALTH WORK IN 1994

The following general status concerning nation-wide health institutions, hospital beds, personnel and hospital work as well as causes of diseases and death is briefly reported according to the Information Centre of Health Statistics of the Ministry of Public Health of China. HEALTH INSTITUTION, HOSPITAL BEDS AND PERSONNEL In 1994 there was a slight decrease in the number of China’s health institutions while the increasing rate of hospital beds was slowed down and the nmnber of health personnel continued to increase. Health institutions. In 1994 the number of various health institutions in China totalled 191.7 thousand. with a decrease of 1844 as against 1993: there

Information Systems Development in a Low Methodology Maturity Environment： A Case Study from the Control Perspective

This paper presents an exploratory case study to examine information systems development （ISD） processes in a low methodology maturity environment, and to understand the role of control mechanisms in project success. The case involves the development of a large scale information system, which progressed without a fully-defined ＂master plan＂ or much reliance on formal methodologies, but was successfully launched nevertheless despite some delay. Data were analyzed from the lens of control theory. Results show that clan control emerged as a dominant form of informal control in a high complexity and low methodology maturity environment. Moreover, end-to-end user participation through collocation with the developers served as effective outcome control, which appeared to be a critical success factor. The reliance on behavior control was marginal, although the project manager＇s effective leadership as a form of self-control also played a role in project success. This work contributes to ISD research in general and the development of a control perspective to user participation in ISD.

Ubiquitous information service networks and technology based on the convergence of communications, computing and control

The rapid development of the IoT(Internet of Things)is bringing about a functional change of communication networks from“information transmission”to“information service”.First,the conception and characteristics of the IoT are in-troduced,i.e.,an Internet of humans,machines,and things meant to achieve smart information services.Then,the technology requirements for realizing ubiquitous and smart information services are described.The corresponding key technologies are also discussed,including the integration of communications,computing and control technology(3C),heterogeneous network fusion theory and technology,intelligent sensor technology and short-distance networking theory,large-scale network transmission theory and technology,the network virtualization and intelligent computing technology geared toward information service,and the collaborative network system and service model geared to the application of the IoT.Finally,the development trends of in-formation technologies and information networks in the next five to ten years are analyzed,and give some suggestions for main research areas to be explored and key issues to be resolved.