Subjects: Library Science，Information Science >> Literature Work Subjects: Library Science，Information Science >> Library Science submitted time 2024-04-18
Abstract： Objective The review of knowledge visualization design reflects the ways of exploring new forms of knowledge. Coverage There are 1377 papers from the core collection database of Web of Science. The domestic literature comes from 518 papers on CNKI. Methods Using bibliometric analysis tools Vosview, Citespace and self-combing methods, this study retrieved and analyzed domestic and foreign literature from 1985 to 2022 with the keyword knowledge visualization design , and analyzed the dialectical development path of knowledge visualization design research. Results It is found that the current research on visual definition is limited, the research lacks consideration on the ontology and epistemology of knowledge visual design, and relies too much on a single research perspective and lacks dialectical thinking. Limitation It is difficult to use the same method for unified analysis due to the inconsistency of domestic and foreign databases. Conclusion Chinese knowledge visualization designers and researchers use materialist dialectics to grasp the research context and law of knowledge visualization design field, understand its dialectical development process, and find the development path of knowledge visualization field in China.
Peer Review Status:
Awaiting Review
Subjects: Library Science，Information Science >> Information Science Subjects: Computer Science >> Other Disciplines of Computer Science submitted time 2022-08-30
Abstract：
Objective Knowledge visualization is an important tool for spreading and creating knowledge in the knowledge society, its design research reflects people's efforts to explore new forms of knowledge. Methods With the help of bibliometric analysis tools Vosview and Citespace as well as the independent sorting method, this study searched and analyzed the domestic and foreign works of literature from 1985 to 2022 with the keyword "knowledge visualization design", Results and the dialectical course of international design research on knowledge visualization and the present situation of domestic design research are analyzed. Limitations It is found that the field of knowledge visualization needs a universal framework to coordinate various types of knowledge visualization design. Conclusions Researchers of knowledge visualization design need to improve their understanding of knowledge visualization design by diversifying and examining the purpose and nature of visualization from multiple perspectives. Designers can follow the overall dialectical development trend of this field to grasp their own design research path.
Peer Review Status:Awaiting Review
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：城市的阅读率代表着一个城市的文化软实力，数字时代的到来，各种数字化、信息化技术的出现，使得传统的图书出版业受到了一定的冲击，数字阅读逐渐走进大众的视野。目前很多图书出版生产单位都加入到了数字化的竞争当中，这足以说明数字阅读下的图书出版和图书编辑工作是非常重要的，具有重要价值。文章针对数字阅读下的图书出版和图书编辑进行了详尽的阐述，提出具有针对性和建设性的意见，保障数字阅读下的图书出版和图书编辑工作。
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：互联网的发展给人们的生活带来了极大的改变,传统出版行业也受到了一定的影响。为适应时代发展,出版编辑需要不断提升自己的职业能力。工作过程中,出版编辑需要深入分析互联网时代图书出版行业的发展趋势,找出自己工作中的不足之处,并探索提升职业能力的方法,做出适当调整。做到紧跟时代步伐,进而提升出版物的市场竞争力,以此满足读者需求,提升出版图书的质量,提高工作效果。
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] At present, the academic evaluation system has begun to take shape, but the existing evaluation methods still have their own disadvantages, which bring some disputes to the scientific nature of academic evaluation. Scholars at home and abroad analyzed the current academic evaluation activities. Many theoretical assumptions were put forward to promote the development of academic evaluation. At the same time, in order to make academic evaluation more scientific, scholars put forward improvement plans from the technical aspect. However, only a specific solution to a problem in academic evaluation is proposed, and the research on academic evaluation system based on blockchain is still blank. Therefore, the paper asks this question: Is it feasible to apply blockchain technology to academic evaluation? How to build an academic evaluation system based on blockchain technology? [Method/Process] Regarding the traceability characteristics and timestamp technology of blockchain data, the peer-to-peer transmission and distributed consensus algorithm of this technology were used to circulate academic coins in the academic evaluation system, and the academic currency equivalent to academic value platform was established. Using the imtamable characteristics of blockchain data and the timestamp technology, the electronic tag of academic research is established, so as to achieve comprehensive monitoring of all steps of academic research and ensure the objectivity of academic research at the data source. Combined with block chain technology, based on block chain academic currency circulation system, and with academic currency equivalent value platform set up, block chain was applied to the academic evaluation, which puts literature related information in the block in the chain store, and at the same time encourages users to do literature review, and implement comments thumb up for academic currency of incentive mechanism, to improve the impartiality of the academic evaluation. [Results/Conclusions] The system is capable of effectively improving the problems of scattered downloads and usage and incomplete statistics in the evaluation of influence, and enhancing the fairness of peer review after publication; At the same time, it can effectively realize copyright protection and scientific research reproduction. The academic coin circulation system based on block chain can be applied to scientific evaluation, copyright protection, user credit and other scenarios, which can provide beneficial inspiration for the future application of block chain in academic evaluation. For example, the circulation rules and incentive mechanism of the academic currency system proposed in this paper are not comprehensive enough. It is necessary to further improve the circulation rules and research ideas of the academic currency system.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Science and technology innovation center plays an important role in transforming the mode of economic development and enhancing industrial competitiveness. The formation and development of science and technology innovation center depend on the gathering of innovative talents, the support of first-rate universities and research institutions, and the cooperation and mutual promotion between innovation organizations and enterprises. In the course of future development, China should build a multi-level network system of science and technology innovation centers with international centers which can connect to global innovation networks, national centers which are capable of leading national science and technology research and development and technology transfer, regional centers which can promote regional development of science and technology and high-tech industrialization, and local centers which can promote development of technological innovation and industrial with local characteristics. Meanwhile, innovative milieu with openness and inclusion, attraction to talents and the construction of top universities and research institutions are all important to the construction of the science and technology innovation center. On the basis of taking enterprises as the main body of innovation activities, planning and building various scientific research and development, innovation and industrialization platform should be implemented by government to incubate a group of leading scientific and technological innovation enterprises with global influence.
Subjects: Geosciences >> Geography submitted time 2023-01-17 Cooperative journals: 《干旱区研究》
Abstract：使用实测数据结合云模式，对祁连山一次典型层积云系降水过程进行数值模拟研究，探讨参数选择对模 拟结果的影响，并对其微物理结构特征进行分析。结果表明：祁连山云模式的最优参数是Thompson方案；各种水成 物含量分布基本呈单峰型，01：00 4.5 km附近的霰混合比和雪混合比的值分别可达0.1 gkg-1 和0.7 gkg-1 ，此高度层 上有较为丰沛的过冷水。从5种水成物的空间分布及时间相关性来看，霰和雪的融化对雨水的形成有主要贡献；垂 直方向上云系呈现催化-供给的分层结构， 8 km高度以上的最高层为冰晶和雪的共存区， 0 ℃层高度（ 4.5 km）以 上的过冷区，同时存在霰粒子，云水和雨水。此云结构有利于降水的形成，有利于进行祁连山人工增雨作业。
Subjects: Geosciences >> Geography submitted time 2021-12-12 Cooperative journals: 《干旱区研究》
Abstract：岱海面积日趋萎缩，水质日益恶化，已经对区域生态环境安全造成严重影响。通过水文地质调查、水样采集，结合统计分析、舒卡列夫分类、矿物饱和指数、离子比例分析、氯碱指数等水化学分析方法，对岱海盆地地下水水化学特征及成因进行研究，以期揭示影响岱海区域地下水水环境演化的主要因素。结果表明：（1）岱海盆地地下水呈弱碱性，水化学类型以HCO3-Ca·Mg型水为主；从盆地边缘到岱海，水化学类型从HCO3-Ca向Cl-Na型过渡，控制水化学成分的作用由溶滤作用向蒸发浓缩作用过渡。（2）地下水水化学组分主要受溶滤、离子交换、脱硫酸以及人为作用控制，其中碳酸盐矿物、硅酸盐矿物、石膏和岩盐的溶解沉淀对地下水化学组分有重要影响。（3） NO-3 -N含量受氮肥、人畜粪便排放等人为作用影响；地下水赋存特征对NO-3 -N浓度垂直分布存在明显影响。
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Technologies such as big data and artificial intelligence bring opportunities and challenges to the intelligent services of library, and it's necessary to build a new library system platform. This paper aims to explore the development status and measures of the next generation library system platform, and provides cases and reference for the construction of smart library in first-class universities.[Method/process] Based on the research and practice of the next generation library system platform at home and abroad, this paper took Nanjing university (NJU) as an example to explore the construction scheme of the new library system platform.[Result/conclusion] Nanjing university smart library would build an integrated electronic resource management platform and the "NLSP", which could improve the capacity of library resource management and knowledge service. Besides, NJU is devoting itself to build an open and shared service system for smart libraries.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Promoting online copyright trading under the new situation can accelerate the value creation and value transformation of information resources. Constructing the innovation ecosystem of network information resource copyright transactions and exploring the evolution path are conducive to revealing the growth law of online copyright trading and guiding the sustainable development of network copyright industry. [Method/process] Based on the theory of dissipative structure, according to the core elements and processes of network information resource copyright transactions, the innovation ecosystem of network information resource copyright transactions is constructed and defined, and the evolution path of copyright transaction innovation is explored, as well as the evolutionary stage of the development of China’s network copyright industry is calculated. [Result/conclusion] In the innovation ecosystem, the quantitative and qualitative changes of the innovation subjects, as well as the real-time information transmission, material circulation and energy flow between the innovation elements such as law, culture, technology and innovation input, have promoted the system evolution, and achieved three innovative effects: innovation of network information resources, innovation of copyright management activities and innovation of copyright trading services. Our country’s online copyright industry is in a period of rapid expansion, suggestions are put forward to support the stable operation of the innovation ecosystem of online copyright trading, including the multi-entry of subjects, the improvement of laws and policies, the enhancement of copyright literacy, the application of advanced technology and the increase of innovation investment.
Subjects: Dynamic and Electric Engineering >> Engineering Thermophysics submitted time 2017-11-07 Cooperative journals: 《工程热物理学报》
Abstract：动态自适应多尺度小波配点法(AWCM)能有效地模拟具有间歇性的物理现象，此方法是近几年发展起来的非常新颖的数值计算方法。为了增强该方法识别与跟踪解的奇异性的能力，并提高数值计算稳定性与计算效率，本文将精细时程积分算法与之相结合形成了快速动态自适应多尺度小波配点法。为了实现这一算法，本文给出了构造动态自适应网格配点集的新方法，构建了以小波(或尺度函数)系数为变量的时程推进公式。通过求解一维Burgers方程，证明了本文方法具有更加良好的数值计算性质。
Subjects: Statistics >> Social Statistics submitted time 2024-03-27 Cooperative journals: 《中国科学院院刊》
Abstract： As the fundamental goal of ecological civilization construction in the new era of China, the building of a Beautiful China is an important measure to promote the study of Chinese man-land relationships to a higher level and a new stage of development. This study takes the construction of ecological civilization of Beautiful China as the orientation, and carries on the frame design to the geographical landscape. The geographical landscape takes the elements of geoscience as the research object and makes a series of reasonable outlook about man-land system according to the interaction mechanism of human-land relationship and the influence of important uncertain factors, aiming to establish and maintain the sustainability of regional development. The geographical landscape of ecological civilization construction needs to be designed by elements, stages and regions. One of the important purposes of geographical landscape design of ecological civilization construction is to achieve the spatial balance of regional development. Therefore, its design is an extension of the spatial equilibrium model of regional development. The construction paths of different regional geographic landscapes are different. Each region should design unique construction plan of geographical landscape according to the specific characteristics of its own comprehensive development state. The reference value of United Nations’ SDGs for the geographical landscape design of ecological civilization construction in China is not as good as the relevant index system of advanced countries and regions such as the European Union and the United States, while it is of much significance to select the appropriate benchmark for the scientific and rational design of China’s geographical landscape.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-10-09 Cooperative journals: 《心理科学进展》
Abstract： Team counts as the most important innovative unit in an organization. Most previous studies, while investigating such macroscopic elements as strategies that influence innovation, are relatively found inadequate for stressing micro-factors related to “humans”. Taking the lens of the “implicit theory of cognition and applying methods of follow-up questionnaires and QCA, this project launches a series of inquiries into the relation between team growth mindsets and team innovation. Its main innovations are as follows: First, the selection of topics. In recent years, amid the extreme challenges of global business competition, organizations or teams with top-level resources are not always successful in innovation. Those talented teams will eventually become “mediocre”, whereas a number of seemingly ordinary teams win out with extraordinary innovation. Starting from the phenomenon, this project closely follows the current practical needs of enterprise reform and innovation, breaks the existing conventions and limitations of attention research, introduces the composition and configuration of attention breadth and attention depth, and pinpoints the focus to the team growth mindsets in a breakthrough way, with a series of original researches around it. The selection of this topic has found a new breakthrough for the research based on the attention perspective and team innovation, and opened up a broad explorative space. At the same time, it provides a new starting point for enterprises to stimulate the enthusiasm of team reform and innovation. Second, the theoretical conception. Up to now, investigations on team innovation have mainly focused on the situational factors and the explicit theory of cognition, overlooking the function of analyzing the internal operating mechanism of the team innovation process from the implicit theory of cognition. Based on two research perspectives of attention composition and attention configuration, this project carries out a series of in-depth and systematic empirical explorations on the topic of the internal relationship between team growth mindsets and attention, in order to improve the understanding of the role of growth mindsets in innovation teams, including how team growth mindsets triggers attention, protects attention overload and avoids insufficient intensity. Based on the basic idea of attention, this project not only investigates the mechanism of team growth mindsets leading to innovation by triggering the breadth and depth of attention respectively; It also stresses the constructive connotation of attention, tries to open up this concept, and tests the “bright side” and “dark side” and their boundary conditions formed between attention configuration and team innovation. It enriches and expands the relevant theoretical knowledge of team growth mindsets and innovation, and embodies the outstanding characteristics of preciseness, depth and systematicness in theoretical conception. Third, the research methods. Combined with the latest research trends in the field of organization management, and meeting the specific needs of research topics, a variety of research methods are comprehensively adopted, including in-depth interviews, multi-point questionnaires, case studies, QCA methods, etc. It is helpful to explore the objective laws of team growth mindsets and innovation, and strengthen the internal and external validity of research results. The theoretical significance of this project is to turn attention research to the discussion of its antecedents and mechanisms. In addition, the projects attaches importance to the studies of the “paradoxical” relationship between attention structure and innovation, and the way team growth mindsets negotiate between attention structure and innovation, in that these studies provide scientific basis for the management practice of enterprises to stimulate team growth mentality and shape the cultural atmosphere of team reform and innovation.
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：【目的】随着大数据从概念到落地的快速发展，数据采集、数据存储、数据挖掘、数据分析等在越来越多的行业中得到应用，数据获取渠道不断增加，数据存储、计算能力日益增强，由互联网行业开始逐渐影响到军事领域的大数据，正式上升为国家战略。在军事大数据领域，有很多多模态的数据，比如图片、视频、语音等声像数据，这些数据都还得不到很好的挖掘和利用。【方法】文章就军事领域声像数据如何在大数据环境下为上层大数据平台提供服务提出体系性设计建议。【结果】通过深入分析大数据、云计算及分布式数据治理等技术，提出适合军事领域建设使用的声像数据管理云平台体系设计方案。【结论】文章通过总结相关项目建设经验，从平台系统构成、系统架构、功能逻辑、系统交互等方面进行了全面阐述。
Subjects: Geosciences >> Geography submitted time 2023-09-19 Cooperative journals: 《干旱区地理》
Abstract：为了从生态位角度系统研究居住空间的分异状况，基于扩展生态位理论构建了居住生态位评价模型，实证分析了西北内陆中心城市兰州市主城区的居住空间分异。结果表明：（1） 居住空间生态位呈现出以中心繁华城区为核心的高生态位，向外围圈层或扇形逐次递减的分布趋势；居住势既反映了区位的集聚和扩散功能，也体现了区位的过滤和排斥功能；居住态的空间分异一定程度上可以反映居住空间的分异状况，也能体现不同社会经济属性群体在空间上形成的相对地位和空间格局。（2） 居住势、居住态和居住生态位较好的街道往往占据城市的优势区位且历史文化悠久、基础设施完善、公共服务健全、自然人文环境等都较好，特别是有高等学府、科研院所等单位坐落其中，居民的文化程度和收入水平都相对较高；而居住势、居住态和居住生态位较差的街道往往位于城区边缘，区位条件较差、基础设施落后、公共服务薄弱、地形起伏较大且交通不便、自然人文环境等相对较差，居民大都以农转非、棚改户、低保户等低收入群体为主且文化程度普遍较低。最后，提出了调控城市居住空间分异的政策建议。研究结果在丰富居住空间分异理论和研究案例的同时，对西北内陆中心城市的高质量发展具有重要的参考价值。
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： The network spillover effect of knowledge has been playing an increasingly significant role in the development of industrial innovation. The urban cooperation matrix of China’s new energy automobile industry is built based on new energy automobile patent data, and the structure and evolution process of China’s new energy automobile industry are depicted. On this basis, the spatial Dubin model (SDM) is used to calculate the network spillover effect, and its results are compared with the results of spillover effect based on the relationship of spatial contiguity and distance of cities. The results show that the innovation activities of China’s new energy automobile industry have begun to take shape, and a certain scale of innovation network has been formed. However, the innovation cooperation among cities and enterprises is not close. The innovation activities of new energy automobile industry are mainly concentrated in large cities, and from such cities, the innovation activities have strongly radiation to surrounding regions. The R&D investment of enterprises plays the key role in promoting the innovation and development of the local new energy automobile industry, but it has not produced significant spillover effect on the countrywide scale.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： The electricity industry has a solid foundation and a long history in the Yellow River Basin owing to the large reserves of energy minerals, wind power, solar power, and hydropower. Giving full play to the positive socioeconomic benefits of power industry and controlling the negative environmental impact are of great significance to the ecological protection and high-quality development of the Yellow River Basin, which are also crucial to the safety of energy supply. Through the analysis of the micro data of 6000 kWand-above power plants, this study depicts the spatial and temporal development pattern of electricity industry in the Yellow River Basin from 2003 to 2017 in the perspectives of power plants construction, power production, and so on. The formation of the current pattern is mainly affected by both resource endowment and electricity demand. The existing problems of the electricity industry in this area are as following: little growing space for hydroelectricity, installed capacity surplus, and low efficiency of thermal-power and the insufficient consumption of wind and solar power. In order to realize the environmentally-friendly development of electricity industry, we should promote the clean and efficient utilization of thermal power, the integrated development of resource-based industries through electric power reform and institutional innovation, solve the problem of wind power consumption through the transformation of coalfired plants’ flexibility and the complementary production of hydro and solar electricity, coordinate the contradictions during the development of wind and solar power, and promote the electricity technical advancement and the innovation of system mechanism to drive regional development.
Subjects: Psychology >> Developmental Psychology submitted time 2019-07-22
Abstract： For decades, there is increasing evidence for the importance of single-gene by environment interactions (G × E) in understanding the etiology of depression. However, several concerns have been raised about the ignoring the polygenic traits of depression when conducting G × E research using single loci. Within this context, the multilocus genetic profile score (MGPS) have recently emerged as an approach of capturing polygenic nature across multiple genes. In line with the monoamine deficiency hypothesis, recent research has begun to show that the combined effects of multiple dopaminergic genetic variants are stronger than the influence of any single gene examined in isolation. Additionally, genes related to the functioning of the dopaminergic system, which coordinates individual’s response to stress. However, existing G × E research has largely focused on adverse family environments (i.e., maltreatment, maternal unresponsiveness) and to a lesser extent on positive environment, such as positive parenting. Therefore, the present study aimed to examine the interaction between dopaminergic genetic variants and maternal parenting on adolescent depressive symptoms, by adopting the approach of multilocus genetic profile score. Participants were 1052 mother–offspring (adolescents mean age 12.31 ± 0.37 years old at the first time point, 50.2% females) dyads recruited from the community. Youth completed assessments twice with an interval of one year. Saliva samples, self-reported depressive symptoms and mother-reported parenting were collected. All measures showed good reliability. Genotyping in three dopaminergic genes were performed for each participant in real time with MassARRAY RT software version 3.0.0.4 and analyzed using the MassARRAY Typer software version 3.4 (Sequenom). To examine whether multilocus genetic profile score moderates the effects of parenting on adolescent depressive symptoms and whether this potential moderating effect act in a diathesis–stress or differential susceptibility manner, hierarchical regression analyses were conducted. We also tested above questions by recoding into categorical variables and re-conducted analyses. The results found that multilocus genetic profile score was a significant risk factor of depression, with higher dopamine genetic risk scores (indicating lower dopaminergic neurotransmission) predicting higher levels of depression. After controlling for gender and prior depressive symptoms, the G × E effect with positive and negative parenting were also significant, suggesting that G × E interaction significantly predicted change in depression level between Time 1 and Time 2. Specifically, adolescents with higher MGPS exhibited higher risk for depression when encountered with lower levels of positive parenting and higher levels of negative parenting, compared to their counterparts with lower MGPS. The results support the diathesis-stress model and highlight the complex ways that genes and environment interact to influence development. These finding underscores complex polygenic underpinnings of depression and lends support for the mulitlocus genetic profile scores–environment interactions implicated in the etiology of depressive symptoms.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-11-29 Cooperative journals: 《计算机应用研究》
Abstract： Aiming at solving the problem of big data's large scale and complex computation, this paper adopt the idea of two-stage progressive clustering, and proposes a parallel computation algorithm for big data clustering based on MapReduce. In the first stage, our method acquires the initialized clustering center through Canopy algorithm, in order to find relatively accurate cluster center points quickly. In the second stage, , we present a novel scheme of parallel computation based on MapReduce framework, which makes each data node cluster or merge around its adjacent Canopy center node. In this way, the algorithm can make the procedure of data clustering fast and accurately. The results of the experiments deployed on MapReduce show that our algorithm can effectively improve the efficiency of parallel computing, reduce computing time, and improve big data's clustering accuracy.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-11-29 Cooperative journals: 《计算机应用研究》
Abstract： Feature selection is an important method of big data set preprocessing, can make subsequent data analysis and processing more efficient and accurate. This paper proposes a novel feature selection method based on genetic algorithm for big data processing. Firstly, our method evaluates the features of each dimension, adjusts its weight according to the difference of each feature on the similar nearest neighbor and the heterogeneous nearest neighbor, and guides the search of genetic algorithm based on the feature weight, thus improves the search ability of the algorithm and the accuracy of feature acquisition. And then combines the feature weights to calculate the fitness of the feature, takes fitness as the evaluation index, and starts the genetic algorithm to obtain the optimal feature subset, finally achieve an efficient and accurate big data feature selection. The results of experiment show that our method can effectively reduce the number of classification features and improve the accuracy of feature classification.
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