scholarly journals Higher education and science popularization: Can they achieve coordinated growth?

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256612
Author(s):  
Yuqing Geng ◽  
Yan Yan
Keyword(s):  
Higher Education ◽  
Interaction Mechanism ◽  
Entropy Weight ◽  
Growth Status ◽  
Growth Performances ◽  
Science Popularization ◽  
Weight Analysis ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics ◽  
Statistical Yearbook

This study aims to explore whether higher education and science popularization can achieve coordinated growth with temporal and spatial characteristics. Selecting the provincial regions of the Yangtze River Economic Belt in China as cases with data from the national statistics administrations (such as China Statistical Yearbook), this study uses entropy weight analysis, TOPSIS, GM(1,1) gray prediction methods and coupling coordination degree model to evaluate the coordinated growth status. The key findings are: (1) the annual budget per student, and the number of science and technology museums affect both systems more obviously; (2) the overall performances of science popularization fluctuate more obviously than those of higher education; (3) the coordinated growth performances of the two systems in most regions remain mild fluctuations and keep relatively stable coordinated status, however, temporal and spatial variation tendencies do exist among regions. Therefore, corresponding countermeasures should be implemented: generally, national authority needs to involve in coordination activities among regions; the regions with satisfactory coordinated growth performances need more creative approaches to maintain the coordinated growth interactions; the regions at the transitioning status need to prevent the grade decline and upgrade the performances; the regions with lagging performances need to stop the decline and reduce the gaps with others. The novelties include analyzing the coordinated growth interaction mechanism between the two, selecting indices to assess the abstract interaction mechanism precisely, proposing suggestions based on temporal and spatial comparisons of the coordinated growth performances, etc.

scholarly journals A New Framework to Evaluate Sustainable Higher Education: An Analysis of China

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Yuqing Geng ◽  
Hongwei Zhu ◽  
Nan Zhao ◽  
Qinghua Zhai
Keyword(s):  
Higher Education ◽  
Ideal Solution ◽  
Combined Method ◽  
Entropy Weight ◽  
Development Status ◽  
The World ◽  
Order Preference ◽  
Weight Analysis ◽  
New Framework ◽  
Coordination Degree

The 7E framework to evaluate sustainable higher education proposed in this article is a new and comprehensive one and enjoys the simplicity to remember and spread. This article selects regions of China and compares the development status and coupling coordination level of sustainable higher education both temporally and spatially from the aspects of expenditure, existence, efficiency, effectiveness, economy, equity, and equality based on the 7E framework with the combined method of information entropy weight analysis and technique for order preference by similarity to an ideal solution and coupling coordination degree model. Applicable, generalizable, and constructive countermeasures of sustainable higher education for different regions are also proposed according to the analysis results, which are also references to other places with similar conditions in the world. The framework and the methods are proved effective and useful in evaluating sustainable higher education.

Giscience in the Mountain Geography

2010 ◽  
Vol 27 (1-2) ◽  
pp. 81-90
Author(s):  
Krishna Poudel
Keyword(s):  
Spatial Data ◽  
Environmental Data ◽  
Temporal Data ◽  
Observation Systems ◽  
Research Findings ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics ◽  
Mountain Geography ◽  
Different Sources

Mountains have distinct geography and are dynamic in nature compared to the plains. 'Verticality' and 'variation' are two fundamental specificities of the mountain geography. They possess distinct temporal and spatial characteristics in a unique socio-cultural setting. There is an ever increasing need for spatial and temporal data for planning and management activities; and Geo Information (GI) Science (including Geographic Information and Earth Observation Systems). This is being recognized more and more as a common platform for integrating spatial data with social, economic and environmental data and information from different sources. This paper investigates the applicability and challenges of GISscience in the context of mountain geography with ample evidences and observations from the mountain specific publications, empirical research findings and reports. The contextual explanation of mountain geography, mountain specific problems, scientific concerns about the mountain geography, advances in GIScience, the role of GIScience for sustainable development, challenges on application of GIScience in the contexts of mountains are the points of discussion. Finally, conclusion has been made with some specific action oriented recommendations.

scholarly journals Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an Example

Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 153
Author(s):  
Penglong Li ◽  
Zuoqin Shi ◽  
Yi Ding ◽  
Ling Zhao ◽  
Zezhong Ma ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Life Cycles ◽  
Cultural Communication ◽  
Temporal And Spatial Distribution ◽  
State Administration ◽  
Cultural Relic ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics ◽  
And Migration ◽  
Cultural Relics

Museum cultural relics represent a special material cultural heritage, and modern interpretations of them are needed in current society. Based on the catalogue data of cultural relics published by the State Administration of Cultural Heritage, this paper analyzes the continuity and intermittentness of cultural relics in time series by using the method of continuity judgment of cultural relics, analyzes the aggregation and migration of cultural relics in space by using the method of spatial analysis, and then uses cosine similarity to explain the similarity distribution in space and time. The results show that the overall distribution of cultural relics exhibits the characteristics of class aggregation, dynasty aggregation and regional aggregation. From the perspective of a time scale, cultural relics have different “life cycles”, displaying continuity, intermittentness, and similarity. From the perspective of a spatial scale, the cultural relic distribution forms a small “cultural communication circle”, showing aggregation, migration, and similarity. The temporal and spatial distribution of cultural relics exhibited more similar characteristics among dynasties that were closer together than those that were far away.

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