scholarly journals Comparative Analysis between International Research Hotspots and National-Level Policy Keywords on Artificial Intelligence in China from 2009 to 2018

2019 ◽  
Vol 11 (23) ◽  
pp. 6574 ◽  
Author(s):  
Gao ◽  
Huang ◽  
Zhang
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
International Research ◽  
Rapid Development ◽  
National Level ◽  
Academic Research ◽  
Development Stage ◽  
The Relationship ◽  
Research Hotspots ◽  
Research And Policy

In the last decade, artificial intelligence (AI) has undergone many important developments in China and has risen to the level of national strategy, which is closely related to the areas of research and policy promotion. The interactive relationship between the hotspots of China’s international AI research and its national-level policy keywords is the basis for further clarification and reference in academics and political circles. There has been very little research on the interaction between academic research and policy making. Understanding the relationship between the content of academic research and the content emphasized by actual operational policy will help scholars to better apply research to practice, and help decision-makers to manage effectively. Based on 3577 English publications about AI published by Chinese scholars in 2009–2018, and 262 Chinese national-level policy documents published during this period, this study carried out scientometric analysis and quantitative analysis of policy documents through the knowledge maps of AI international research hotspots in China and the co-occurrence maps of Chinese policy keywords, and conducted a comparative analysis that divided China’s AI development into three stages: the initial exploration stage, the steady rising stage, and the rapid development stage. The studies showed that in the initial exploration stage (2009–2012), research hotspots and policy keywords had a certain alienation relationship; in the steady rising stage (2013–2015), research hotspots focused more on cutting-edge technologies and policy keywords focused more on macro-guidance, and the relationship began to become close; and in the rapid development stage (2016–2018), the research hotspots and policy keywords became closely integrated, and they were mutually infiltrated and complementary, thus realizing organic integration and close connection. Through comparative analysis between international research hotspots and national-level policy keywords on AI in China from 2009 to 2018, the development of AI in China was revealed to some extent, along with the interaction between academics and politics in the past ten years, which is of great significance for the sustainable development and effective governance of China’s artificial intelligence.

scholarly journals A Comparative Study of Anthropometric and Psycho-Motor Abilities of Sub-Junior National Level Boxers

2016 ◽  
Vol 5 (3) ◽  
pp. 140
Author(s):  
Sumitra Kirtania ◽  
Pintulal Mondal ◽  
Mahesh Sawata Khetmalis
Keyword(s):  
Body Composition ◽  
Comparative Analysis ◽  
West Bengal ◽  
National Level ◽  
Motor Abilities ◽  
Psychomotor Ability ◽  
Level Of Significance ◽  
Age Range ◽  
Relationship Of ◽  
The Relationship

<div><p><em>The aim of this study is to identify the Anthropometric and profiles of sub-Junior National level Boxers and also to find out the relationship of Anthropometric profiles and psychomotor abilities of the sub-Junior National level Boxers.</em><em> </em><em>A total 22 female Boxers (11 medalists and 11 non-medalists) age range between 12<sup>th</sup> to 16<sup>th</sup> years will be select from SAI, SAG, Imphal centers. Selected Anthropometric variables (Body composition) will be taken on each Boxer. Total Psychomotor ability scores (Speed, Agility, Differentiation, Orientation, Balance, Rhythm Ability) will be taken. For interpretation of data a comparative analysis of the selected variable, the “t” test was applied. The data of both groups were collected separately for all the variables. Statistic such as mean and standard deviation was computed. The level of significance was set at 0.05. It was found that in BMI, BMR do not have significant deference between the Manipur and West Bengal female Boxers and significant deference was found on Speed, Agility, Differentiation, Orientation, Balance, Rhythm Ability.</em></p></div>

scholarly journals Research Progress of Energy Utilization of Agricultural Waste in China: Bibliometric Analysis by Citespace

2020 ◽  
Vol 12 (3) ◽  
pp. 812 ◽  
Author(s):  
Jiapei Wei ◽  
Gefu Liang ◽  
James Alex ◽  
Tongchao Zhang ◽  
Chunbo Ma
Keyword(s):  
Rapid Development ◽  
Agricultural Waste ◽  
Development Stage ◽  
Energy Utilization ◽  
Research Progress ◽  
Poultry Waste ◽  
Energy Potential ◽  
Petroleum Resources ◽  
Number Of Publications ◽  
Research Hotspots

Energy utilization of agricultural waste, due to the depletion of petroleum resources and the continuous deterioration of the ecological environment, has become an increasingly important development area at present, with broad prospects. The Citespace software was used to systematically summarize the research hotspots, development, and frontiers of researches on the energy utilization of agricultural waste in China from 1999 to 2018. The results show that (1) the number of publications in this field has increased, which includes a steady development stage, a rapid development stage, and a fluctuation and decline stage. (2) Research hotspots focused on technology for energy utilization of agricultural waste, benefits analysis of energy utilization of agricultural waste, energy conversion and upgrading path of agricultural waste, and energy potential of agricultural waste. (3) Development of research hotspots go through five stages: “technology for energy utilization of straw and the disposal of livestock and poultry waste”, “exploration of energy utilization mode of agricultural waste and the disposal of by-product from energy utilization of agricultural waste”, “technology upgrading from agricultural waste to fuel ethanol and recycling of livestock and poultry waste”, “resource recycling of by-product from biogas ” and “energy utilization of livestock and slaughterhouse waste”. It has revealed the focus in this field was changing from planting waste to breeding waste, and from unprocessed waste to by-product from energy utilization. (4) Energy utilization of slaughterhouse waste and cow manure has started to be considered as the frontiers of researches.

Criticalities and Advantages of the Use of Artificial Intelligence in Research

2022 ◽  
pp. 161-175
Author(s):  
Jessica Camargo Molano ◽  
Jacopo Cavalaglio Camargo Molano
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Public Schools ◽  
School System ◽  
Detection System ◽  
Rapid Development ◽  
Academic Research ◽  
The Face ◽  
The Impact ◽  
Machine Learning Models

In recent years, artficial intelligence, through the rapid development of machine learning and deep learning, has started to be used in different sectors, even in academic research. The objective of this study is a reflection on the possible errors that can occur when the analysis of human behavior and the development of academic research rely on artificial intelligence. To understand what errors artificial intelligence can make more easily, three cases have been analyzed: the use of the IMPACT system for the evaluation of school system in the District of Columbia Public Schools (DCPS) in Washington, the face detection system, and the “writing” of the first scientific text by artificial intelligence. In particular, this work takes into consideration the systematic errors due to the polarization of data with which the machine learning models are trained, the absence of feedback and the problem of minorities who cannot be represented through the use of big data.

scholarly journals Evolution of Guangzhou Biomedical Industry Innovation Network Structure and Its Proximity Mechanism

2020 ◽  
Vol 12 (6) ◽  
pp. 2456
Author(s):  
Kaihuang Zhang ◽  
Qinglan Qian ◽  
Yijing Zhao
Keyword(s):  
Topological Structure ◽  
Rapid Development ◽  
Development Stage ◽  
Innovation Network ◽  
Policy Recommendations ◽  
Biomedical Industry ◽  
Three Stages ◽  
Innovation Cooperation ◽  
Different Characteristics ◽  
The Relationship

The topological structure and multidimensional proximity evolution mechanism of Guangzhou biomedical industry innovation network are studied by using cooperative patents and cooperative papers from 1998 to 2018 with Ucinet and PLS-SEM. Research shows: ① The evolution of the Guangzhou Biomedical Industry Innovation Network can be divided into three stages, which are the primary budding stage of 1998–2005, the steady development stage of 2006–2012, and the rapid development stage of 2013–2018; ② the number of subjects in the innovation network is increasing, and the types of subjects are constantly increasing. The innovation network has gone from small to large, from closed to open, and from simple to complex. Patents and papers cooperation networks show different characteristics at various stages; ③ the relationship between geographical proximity, cognitive proximity, organizational proximity, and innovation network differs in stages. The interaction of proximity varies with the content of innovation cooperation. Based on this result, we have put forward policy recommendations for different innovative content.

How Business Model Designs Influence Firm Growth in a Transforming Economy: A Configurational Perspective

2021 ◽  
pp. 1-28
Author(s):  
Jun Wu ◽  
Wenwen An ◽  
Xin Zheng ◽  
Jianqi Zhang
Keyword(s):  
Comparative Analysis ◽  
Business Model ◽  
Fuzzy Set ◽  
Firm Growth ◽  
Qualitative Comparative Analysis ◽  
High Growth ◽  
Development Stage ◽  
Corporate Ownership ◽  
Holistic Understanding ◽  
The Relationship

ABSTRACT This study adopts a configurational perspective to examine how business model designs and contextual factors in transforming economies combine to create value. We investigate configurations of efficiency-centered and novelty-centered business model designs, corporate ownership, development stage, and external regulatory volatility associated with high growth in a transforming economy. Using a fuzzy-set qualitative comparative analysis of Chinese firms, we find five solutions associated with superior growth, suggesting that the effective configurations of business model designs vary in different contexts. Our study offers a holistic understanding of the relationship between business model designs and firm growth, and yields useful insights for business model designs for practitioners.

scholarly journals Integration index for mobility as a service

2021 ◽  
Author(s):  
Yinying He ◽  
Dávid Földes ◽  
Csaba Csiszár
Keyword(s):  
Rapid Development ◽  
National Level ◽  
Development Stage ◽  
Decision Makers ◽  
Private Company ◽  
Mobility Service ◽  
Information And Communication ◽  
Complex Integration ◽  
Personalized Mobility ◽  
Tariff Structure

The integration in transport informatics is facilitated by the rapid development of Information and Communication Technology. One of the realizations of the integration is Mobility as a Service (MaaS), which is proposed as a data-driven, user-centric, personalized mobility service. It integrates various forms of mobility services covering the entire travel chain. Qualitative methods have been applied in existing studies to analyse the integration of MaaS. However, a comprehensive quantitative method is still missing, which could be introduced as a supplementary tool to compare MaaS services. Therefore, we have developed a weighted elaboration method to calculate the complex integration index for MaaS systems. Three aspects are determined as variables, which are the functions of the MaaS application, involved transport modes as well as the tariff structure. Moreover, the organization as the backbone of such integration is considered as the fourth aspect. The integration phases of MaaS are introduced regarding these four aspects, then the calculation method of the complex index is developed by considering the weighted variables. Fourteen MaaS services are evaluated with the method and categorized by organization aspect. We found that public authority is proposed to be the inter-city MaaS operator, and the private company is proposed to be the MaaS operator in intra-city or national level. Our method may support decision-makers to have an abstract overview of MaaS and identify the possible development stage.

Two Fates: “Russkaya Beseda” and “Russky Vestnik” (to the Question of the Reasons for the Failure of the Slavophil Publishing Project)

2019 ◽  
Vol 54 ◽  
pp. 110-122
Author(s):  
Elena V. Perevalova
Keyword(s):  
Comparative Analysis ◽  
Rapid Development ◽  
University Professors ◽  
Political Situation ◽  
The Government ◽  
The Relationship

The article provides a comparative analysis of two Moscow literary and political magazines of the second half of the 1850s: “Russkaya Beseda”, the publication of which was initiated in 1856 by members of the Moscow Slavophile circle A.I. Koshelev, Yu.F. Samarin, Aksakovs, I.V. and P.V. Kireevsky and others, and the “Russky Vestnik”, which arose in the same year as an organ of a pro-Western liberal university professors. It was revealed that in a very favorable socio-political situation (liberalization of the government course, the rapid development of public thought, the weakening of censorship), both publications were able to successfully implement their programs and gain recognition from an educated audience. However, while “Russky Vestnik” quickly became one of the leaders in Russian periodicals, the publication of “Russkaya Beseda” was discontinued by 1860 due to the small number of subscribers. We consider the factors that led to the success of the publication of Westerners and became the cause of the failures of the Slavophile magazine: frequency, efficiency, informational and thematic diversity, especially the relationship with censorship bodies, etc.

scholarly journals Understanding the evolution of open government data research: towards open data sustainability and smartness

2021 ◽  
pp. 002085232110099
Author(s):  
Yingying Gao ◽  
Marijn Janssen ◽  
Congcong Zhang
Keyword(s):  
Artificial Intelligence ◽  
Smart Cities ◽  
Rapid Development ◽  
Academic Research ◽  
Open Data ◽  
Open Government ◽  
Data Movement ◽  
Data Practices ◽  
Open Government Data ◽  
Government Data

The past decade has witnessed a rapid development of open government data practices and academic research. However, there is no systematic survey of existing research to understand the evolution of open government data. Such research can facilitate knowledge transfer within and across domains, and foster learning for countries in the early stages of open government data development. This study quantitively extracted the evolution trajectory of open government data based on the main path analysis method and then analysed the underlying motivations. The results show that open government data research went through four main phases and that the open government data movement has spread towards developing countries and smart cities. Different challenges and issues faced by the researchers in each phase drove the evolution of open government data research. Finally, we discuss future directions of open government data research based on our findings and recent development. There is a tendency to create sustainable open government data and smartness by employing artificial intelligence and creating data marketplaces. Points for practitioners Open government data efforts have evolved over the years into a global phenomenon. Countries have learned from each other and more and more efforts are focused on innovating with open government data by stimulating co-creation and using other incentives. The way that data are opened should focus on achieving goals like innovation, participation, transparency and accountability. There is a tendency to create sustainable open government data and smartness by employing artificial intelligence and creating data marketplaces.

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

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