The development of air bearing demands further research and certain guidance. The previous technical reviews focused on specific aspects, while bibliometric analysis employed in this paper gave a general overview on air bearing field and provided clearer research interest and development trend. The publications in the field of air bearing from 1990 to 2017 based on the Science Citation Index Expanded (SCIE) database were analyzed from the aspects of countries, institutions, research areas, journals, authors, keywords, reviews, and high cited papers, implemented by some representative and convincing indicators. The result showed that the USA held the dominant position in this field, followed by Japan and China. The University of California System held the top position in terms of total papers and h-indexes. It had shown a multi-disciplinary development trend of air bearings from the aspect of research area. Tribology related journal took high ranking of the list, in which “Journal of Tribology-Transactions of the ASME” ranked first. Bogy, D. B., made most contributions to the air bearing field, with the highest total citations and h-index. Thermal effects, foil bearing, dynamic analysis, and active compensation were hotspots. Reynolds equation, stability, optimization, load-carrying capacity, foil bearings, and aerostatic bearings were potential directions that might have greater opportunities for improvement. The improvement of air bearing requires common progress in multiple aspects.
Author(s): Guoda Chen, Bingfeng Ju, Hui Fang, Yijie Chen, Nan Yu, Yuehua Wan
Organization(s): Zhejiang University of Technology
Source: The International Journal of Advanced Manufacturing Technology
Since the first robotic exoskeleton was developed in 1960, this research field has attracted much interest from both the academic and industrial communities resulting in scientific publications, prototype developments and commercialized products. In this article, to document the progress in and current status of this field, we performed a bibliometric analysis. This analysis evaluated the publications in the field of robotic exoskeletons from 1990 to July 2019 that were retrieved from the Science Citation Index Expanded database. The bibliometric analyses were presented in terms of author keywords, year, country, institution, journal, author, and the citation. Results show that currently the United States has taken the leading position in this field and has built the largest collaborative network
with other countries. The Massachusetts Institute of Technology (MIT) made the greatest contribution to the field of robotic exoskeleton investigations in terms of the number of publications, average citations per publication and the h-index. In addition, the Journal of Neuro Engineering and Rehabilitation ranks first among the top 20 academic journals in terms of the number of publications related to robotic exoskeletons during the period investigated. Author keyword analysis indicates that most research has focused on rehabilitation robotics. Biomedical engineering, rehabilitation and the neurosciences are the most common disciplines conducting research in this area according to the Web of Science (WoS). Our study comprehensively assesses the current research status and collaboration network of robotic exoskeletons, thus helping researchers steer their projects or locate potential collaborators.
Author(s): Guanjun Bao, Lufeng Pan , Hui Fang, Xinyu Wu , Haoyong Yu ,
Shibo Cai, Bingqing Yu, and Yuehua Wan
Organization(s): Zhejiang University of Technology; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Source: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
As technological innovation plays important role in today’s knowledge economy, intellectual property as the most important output of technological development is valued highly for generating monopoly position in providing payoffs to innovation. Intellectual Property Management (IPM) helps organizations to identify, enhance and evaluate their technological strength. Patent portfolio Model (PPM) is built for assessing the advantages and disadvantages of organization, identifying the opportunities of development potentials and optimal distribution, to support the decision-making for optimizing resource allocation and developing layout for technical field. The case study of research institute in china show that this method is feasible and fulfilled the needs of different institutions, so as to provide suggestions for R&D technology management.
Author(s): Li Shuyin, Zhang Xian, Xu Haiyun, Fang Shu
Organization(s): Chengdu Library and Information Center, Chinese Academy of Sciences
Source: IEEE Xplore: 2019 Portland International Conference on Management of Engineering and Technology (PICMET)
The authors present in this document the results of the bibliometric and scientometric analyses related to research articles about dental caries and early childhood, published in journals indexed in Scopus from 2000 to 2017. The following indicators were extracted from the analyzed datasets: general, and specific for Latin America and Colombia, output and collaboration indicators (publication output by year, affiliation countries, affiliations, authors and journals). On the other hand, the scientometric analysis was performed by grouping the keywords into four conceptual categories: prevalent microorganisms, diet, mother-child pair, and hygiene. The resulting indicators were obtained by applying the aggregation levels mentioned above. Finally, the world-wide patent application activity was analyzed in order to complete the research and development trends related to the topics of this study.
Author(s): Lofthy Piedad Mejía-Lora, César Augusto Acevedo-Argüello
Organization(s): Universidad Santo Tomás
Source: Colección: Estudios de Bibliometría y Vigilancia Tecnológica
This article uses text mining techniques to determine the time lag of knowledge transfer between research activity and technology development in bioremediation, complementing these with advanced visualization techniques in order to extract patterns that could be of interest for decision making in this field. The emergence patterns in this field have been identified and a method based on subject-action-object (SAO) semantic structure is proposed for characterizing such patterns, using 2-word tuples. Our results show that technology developments in heavy metal bioremediation swiftly follow scientific advances, as opposed to developments in bioremediation of organic chemical components. The science mapping reveals three distinct areas: 1) heavy metal remediation and phytoremediation; 2) aerobic and anaerobic remediation of chemical elements; and 3) bioremediation techniques for treating specific contamination sources such as oil. The emergence analysis points at activities involving energy recovery by bioremediation, and shows an increasing amount of technologies involving specific strains of microorganisms, which could gain significant traction in this field in an estimated time horizon of ten years. Our SAO approach, tested on the data sample corresponding to these strains, proves to be useful for characterizing the emerging technologies when applied to instrumental concepts.
Author(s): Gaizka Garechana, Rosa Rio-Belver, Enara Zarrabeitia, Izaskun Alvarez-Meaza
Organization(s): University of the Basque Country
Source: IEEE Transactions on Engineering Management
Scientometric methods have long been used to identify technological trajectories, but we have seldom seen reproducible methods that allow for the identification of a technological emergence in a set of documents. This study evaluates the use of three different reproducible approaches for identifying the emergence of technological novelties in scientific publications. The selected approaches are term counting technique, the emergence score (EScore) and Latent Dirichlet Allocation (LDA). We found that the methods provide somewhat distinct perspectives on technological. The term count based method identifies detailed emergence patterns. EScore is a complex bibliometric indicator that provides a holistic view of emergence by considering several parameters, namely term frequency, size, and origin of the research community. LDA traces emergence at the thematic level and provides insights on the linkages between emerging research topics. The results suggest that term counting produces results practical for operational purposes, while LDA offers insight at a strategic level.
For FULL-TEXT https://doi.org/10.1007/s11192-019-03275-w
Author(s): Samira Ranaei, Arho Suominen, Alan Porter, Stephen Carley
Organization(s): VTT Technical Research Centre of Finland, Lappeenranta University of Technology, Search Technology
Arboviral diseases are a global growing problem due to climate change, urbanization, population density, and global transportation. However, new technologies currently being developed in research labs are expected to play a relevant role in combatting arboviral diseases in the future, reducing the health and economic burden imposed by these diseases. This paper aims to anticipate the technologies that might be relevant for prevention and vector control of arboviral diseases in the future. A web-based survey was conducted of over 2,000 experts from all over the world. Both the technologies and the respondents were identified from recent scientific publications on arboviral diseases indexed in the Web of Science Core Collection. Our results show that within 20 years the enveloped virus-like particles-based vaccine and the gene-edited mosquitoes through CRISPR/Cas9 will likely be the most promising technologies for, respectively, prevention and vector control of arboviral diseases. If these expectations are confirmed, these new technologies, when fully developed, may support global public health efforts aimed at reducing transmission, mortality and morbidity of arboviral diseases.
For FULL-TEXT https://www.ijidonline.com/article/S1201-9712(19)30394-7/fulltext
Author(s): Bernardo Pereira Cabral, Maria da Graça Derengowski Fonseca, Fabio Batista Mota
Organization(s): Fundação Oswaldo Cruz, a, Universidade Federal da Bahia, Universidade Federal do Rio de Janeiro
Source: International Journal of Infectious Diseases
Over 15,000 articles and reviews published since 2000 were collected, with genome editing-related queries in the Web of Science (Table 1 and Supplemental Table S1). We use tech mining to investigate the underlying patterns that drive the adoption of genome editing, proposing an integrated research framework with bibliometrics, text analyses, and network analysis to analyze publication trends, authorship patterns, and key research topics and technologies of the genome editing field and provide quantitative and qualitative insights into the drivers of the CRISPR craze. Of the literature on gene-editing modalities, CRISPR-Cas continues to grow, whereas publications describing meganucleases, zinc-finger nucleases, and transcription activator-like effector nuclease (TALENs) have been decreasing since 2016. The top 5 nations contributing gene-editing research are the United States, China, Germany, the United Kingdom, and Japan, with papers from China growing fastest. A diverse set of collaborative authors provides both leadership in the field and globalized contributions to the literature across space, time, and disciplines. The collaborative nature of this field is underscored by each of the 15 leading authors in the field (Table 2), all working with at least one fellow leading author, with 10 of the 15 co-authoring manuscripts with at least 2 other leading authors, and 4 highly collaborative authors contributing manuscripts with three or more prolific colleagues.
Author(s): Ying Huang, Alan Porter, Yi Zhang & Rodolphe Barrangou
Organization(s): Wuhan University, Georgia Institute of Technology, University of Technology Sydney, North Carolina State University
Source: Nature Biotechnology (Data Page)
The quantitative study of science, technology and innovation (ST&I ) has experienced significant growth with advancements in disciplines such as mathematics, computer science and information sciences. From the early studies utilizing the statistics method, graph theory, to citations or co-authorship, the state of the art in quantitative methods leverages natural language processing and machine learning. However, there is no unified methodological approach within the research community or a comprehensive understanding of how to exploit text-mining potentials to address ST&I research objectives. Therefore, this chapter intends to present the state of the art of text mining within the framework of ST&I. The major contribution of the chapter is twofold; first, it provides a review of the literature on how text mining extended the quantitative methods applied in ST&I and highlights major methodological challenges. Second, it discusses two hands-on detailed case studies on how to implement the text analytics routine.
Author(s): Samira Ranaei, Arho Suominen, Alan Porter, Tuomo Kässi
Organization(s): Lappeenranta University of Technology (LUT), VTT Technical Research Centre of Finland
Source: Springer Handbook of Science and Technology Indicators
3D printing technology has already been created by the manufacturing industry for decades. In the health area has grown rapidly, allowing the application to various areas of medicine. This work carried out a quantitative study in patent databases with the aim of sticking to the innovations that emerged with the 3D printer applied to health through technological indicators inherent in patents. It is possible to check the countries, companies and applications for the innovations that emerged after the patent for Fusion and Deposition Modeling (FDM) technology came into the public domain. China, listed as one of the countries in the Global Innovation Index, holds the development of new technologies as well as the patent protection of 3D Health Printer prototypes.
A tecnologia da impressão 3D tem sido utilizada pela indústria de manufatura há décadas. Na área da saúde tem crescido rapidamente, possibilitando a aplicação em diversas áreas da medicina. Este trabalho realizou um estudo quantitativo nas bases de dados de patentes com o objetivo de apontar as inovações surgidas com a impressora 3D aplicada à saúde por meio de indicadores tecnológicos inerentes nas patentes. É possível verificar os países, as empresas e as aplicações referentes às inovações que surgiram após a patente da tecnologia de Modelagem por Fusão e Deposição (FDM) entrar em domínio público. A China, listada como um dos países no Índice Global de Inovação, detém o desenvolvimento de novas tecnologias, bem como a proteção por patente de protótipos da Impressora 3D aplicado à saúde.
D.O.I.: 10.7198/geintec.v9i4.1413 Full-Text at link below
Technological Innovations of the 3D printer applied to health
Author(s): Lana Grasiela Alves Marques, Rosângela Cordeiro de Souza Assef Neto, Rosane Abdala Lins, Maria Cristina Soares Guimarães
Organization(s): Fundação Oswaldo Cruz – FIOCRUZ