Category Archives: Research Type

Future of Bioprinted Tissues аnd Organs: A Two-Wave Global Survey (Full-Text)

Future-oriented technology analysis, novel source, Research Examples

Technologies of 3D- and 4D-bioprinting make it possible to restore or replace tissues and organs, solving the problem of the lack of donor resources and reducing the risks of implant rejection. This article presents the results of a two-stage global survey of specialists in tissue engineering on the prospects of bioprinting in preclinical studies and clinical practice. A picture of possible tracks and horizons upon which the implementation of the considered solutions is possible is presented. According to the results of the survey, in the next two decades it will be possible to recreate tissues and organs suitable for implantation and drug testing. There will be a market for bioprinted products, the problem of organ shortages and adverse reactions to drugs will be solved. These changes may significantly affect not only the practice of biomedical research, drug testing, and medicine, but also the healthcare sector in general, which implies the need for a preventive review of current policies. A practical and accessible tool for identifying (searching and collecting respondents in scientific publications) and interviewing a large number of experts around the world is proposed, which may be useful for new Foresight studies.

For FULL-TEXT 10.17323/2500-2597.2022.1.6.20

Author(s): Fabio Batista Mota, Luiza Amara Maciel Braga, LBernardo Pereira Cabral , Carlos Gilbert Conte Filho
Organization(s): Oswaldo Cruz Foundation (Fiocruz), Fluminense Federal University, Federal University of Bahia
Source: Foresight and STI Governance
Year: 2022

The gulf of cross-disciplinary research collaborations on global river basins is not narrowed (Full-Text)

Research Examples, Research profiling

Using publications in the Web of Science database (WoS), this study investigates the research collaboration on the top 95 most researched global river basins since 1900. The links of both the disciplines involved and the management issues studied between the biophysical, economic, societal, climatic and governance sub-systems of these river basins were examined. We found that research collaborations were dominated within the biophysical sub-system (65.3%) since the knowledge predevelopment period (1900–1983), with continuous increases (by 18.5%) during the rapid development (1984–2000) and the stabilisation (12.9% increase) (2001–2017). However, research collaborations related to the societal sub-system remained marginalised (varied at about 1%), while those related to the governance sub-system expanded in issues studied (32.8%) but were not supported by the core governance disciplines (3.4%). The key findings explained why global river basins are degraded from the perspective of knowledge development and they can assist the strategic planning and management of scientific research for improving governance capacity in modifying the relationship between human and nature on river basins in the Anthropocene. Tackling challenges in the Anthropocene requires transformation of the current pattern of knowledge development, a revolution in the governance of science.

For FULL-TEXT https://doi.org/10.1007/s13280-022-01716-0

Author(s): Yongping Wei, Shuanglei Wu
Organization(s): The University of Queensland
Source: Ambio
Year: 2022

Characteristics and Trends of Ocean Remote Sensing Research from 1990 to 2020: A Bibliometric Network Analysis and Its Implications (full-text)

Research Examples, Research profiling

The ocean is of great significance in the climate system, global resources and strategic decision making. With the continuous improvement in remote sensing technology, ocean remote sensing research has increasingly become an important topic for resource development and environmental protection. This paper uses bibliometric analysis method and VOSviewer visual software to conduct analysis. The analysis focuses on the period from 1990 to 2020. The analysis results show that articles have been steadily increasing over the past two decades. Scholars and researchers form the United States, China and Europe (mainly Western European countries), as well as NASA, Chinese Academy of Sciences and NOAA have bigger influence in this field to some extent. Among them, the United States and NASA holds the core leading position. Moreover, global cooperation in this field presents certain characteristics of geographical distribution. This study also reveals journals that include the most publications and subject categories that are highly relevant to related fields. Cluster analysis shows that remote sensing, ocean color, MODIS (or Moderate Resolution Imaging Spectroradiometer), chlorophy, sea ice and climate change are main research hotspots. In addition, in the context of climate warming, researchers have improved monitoring technology for remote sensing to warn and protect ocean ecosystems in hotspots (the Arctic and Antarctica). The valuable results obtained from this study will help academic professionals keep informed of the latest developments and identify future research directions in the field related to ocean remote sensing.

For FULL-TEXT https://doi.org/10.3390/jmse10030373

Author(s): Qiang Wang, Jinping Wang, Mingmei Xue, Xifeng Zhang
Organization(s): Chinese Academy of Sciences, Northwest Normal University
Source: Journal of Marine Science and Engineering
Year: 2022

Social life cycle assessment: mapping scientific knowledge

Network analysis, Research Examples, Research profiling

Social life cycle assessment (sLCA) is a methodology to support decision making on social impacts, positive and negative, actual or potential, related to product life cycles [1,2]. Being a relatively new tool, the indicators are not yet homogenized and the method does not have a standard to be followed nor a code of practice [3] [4]. Therefore, describing the state-of-the-art scientific research into sLCA is necessary to clarify the current situation and to determine future development goals [5]. The aim of this paper is, to describe the scientific trends related to sLCA through a bibliometric and a network analysis. This will enable us to identify the main collaborations and help to standardize the sLCA methodology.

Methodology: The research process consists of four steps. 1, define the search query. 2, retrieve data. 461 articles from the Scopus database and 348 from the WOS database were obtained and exported. 3, clean up the refined database. Using Vantage Point (VP) text mining software, the obtained data were cleaned up, applying fuzzy logic algorithms to clean up the data fields. 4, generate the sLCA scientific profile and the network analysis. This scientific profile will define the publication trends and academic performance, and the network analysis will allow us to determine the main collaboration relationships.

Conclusions: sLCA, as a methodology for measuring the social impacts of companies, is gaining prominence. More and more is being published on sLCA, especially since 2018. The countries doing the most research on the subject are European, with Germany leading by far, followed by Italy. Nonetheless, the United States, Canada, China and Brazil are also among the top researchers. In terms of scientific collaborations, the same countries appear as the main collaborators, although the United States ranks first as an intermediary country. The institutions that contribute the most scientific production on sLCA are mainly European universities of technology. These universities have a closed pat- tern of scientific collaboration on sLCA, i.e. they form research clusters that collaborate little with other clusters. The same is true for the main authors; research is also carried out in closed clusters. In addition, the European Union is the main economic driver of this research topic. Finally, the most frequently used keywords in the publications are those related to life cycle, assessment and sustainability.

https://cioxxv.pressbooks.com/chapter/social-life-cycle-assessment-mapping-scientific-knowledge-78/

Author(s): Naiara Pikatza Gorrotxategi, Izaskun Alvarez-Meaza, Rosa María Río-Belver, Enara Zarrabeitia Bilbao
Organization(s): University of the Basque Country.
Source: Proceedings of the 15th International Conference on Industrial Engineering and Industrial Management and XXV Congreso de Ingeniería de Organización
Year: 2022

Research Trends on Pillared Interlayered Clays (PILCs) Used as Catalysts in Environmental and Chemical Processes: Bibliometric Analysis (full-text)

Research Examples, Research profiling

Over the last four decades, a large number of studies have been published on pillared interlayered clays (PILCs) used as adsorbent materials and catalysts or supports for transition metals in heterogeneous catalysis. Particularly, PILCs have been used for water treatment through advanced oxidation processes (AOPs) to remove organic pollutants. They have also been studied in various chemical and environmental processes. Because of the growing interest in PILCs, this article is focused on analyzing scientific publications such as research/review articles and book chapters from the last four decades (from 1980 to 2019) through a bibliometric analysis (BA) to visualize and describe research trends on PILCs. By narrowing the bibliographic search to titles, keywords, and abstracts of publications related to PILCs, using Scopus and Web of Science (WoS) (the two scientific databases), a total of 3425 documents have been retrieved. The bibliometric dataset was analyzed by VantagePoint®. The main research trends identified in the last four decades were the use of PILCs in environmental processes (34.4% of total publications) along with chemical processes (petrochemical reactions 17.5%, SCR NOx 10.8%, and decomposition 8.2%). In environmental processes, PILCs have been used in photo-oxidation (32%), CWPO (21.1%), and heterogeneous catalysis (19.4%). Phenols, dyes, and VOCs have been the main pollutants studied using PILCs as catalysts. Fe, Ti, Zr, Cu, and Co are the most supported active phases in PILCs. Other research trends grouped by characterization techniques, countries, research areas, institutes, scientific journals that have published the most on this topic, number of publications per 5-year period, and most frequently used keywords through the last four decades have been identified. It was determined that the number of publications on PILCs has increased since 1980 and the countries with the highest number of publications are China, Spain, and The United States of America.

For FULL-TEXT go to https://doi.org/10.1155/2022/5728678

Author(s): Iván F. Macías-Quiroga, Julián A. Rengifo-Herrera, Sandra M. Arredondo-López, Alexander Marín-Flórez, Nancy R. Sanabria-González
Organization(s): Universidad Nacional de Colombia sede Manizales, Universidad Nacional de La Plata
Source: The Scientific World Journal
Year: 2022

Combining topic modeling and SAO semantic analysis to identify technological opportunities of emerging technologies

Research Examples, ST&I indicators
  • A hybrid approach to extract technical intelligence for technological opportunities analysis.
  • To blend topic modeling, SAO semantic analysis and machine learning.
  • An optimized LDA-based topic extraction model with high accuracy.
  • A case study on dye-sensitized solar cell.

With the advancement of science and the emergence of new technologies, technology opportunities analysis has attracted increasing attention from both society and academia. This study proposes a hybrid approach to integrate topic modeling, semantic SAO analysis, machine learning, and expert judgment, identifying technological topics and potential development opportunities. The systematical methodology is applied to analyze a set of 9,883 Derwent Innovation Index (DII) patents related to the dye-sensitized solar cell to present its potential contribution of technical intelligence for R&D management. Also, how the approach is validated and optimized is illustrated. The main contributions of this paper are two-fold. First, an optimized topic extraction model with high accuracy is constructed, considering both the patent classification codes and term location. Second, we integrate the topic modeling, SAO technique, and machine learning to explore semantic relationships among technological topics represented as a suite of terms. The methodology overcomes some drawbacks of the current studies. It can be used as a powerful tool for technological opportunities analysis.

https://doi.org/10.1016/j.techfore.2021.121159

Author(s): Tingting Ma, Xiao Zhou, Jia Liu, Zhenkai Lou, Zhaoting Hua, Ruitao Wang
Organization(s): Communication University of China, Beijing Wuzi University, Xidian University, Anhui University of Technology
Source: Technological Forecasting and Social Change
Year: 2021

Detecting trends in sustainability publications: research development and dynamics in “Green and sustainable science and technology” category

Network analysis, Research Examples, Research Type

Although the sustainability movement began to take shape in the early nineteen seventies, it was not until 1987 with the publication of the Brundtland Report that it acquired institutional recognition. The academic community’s engagement with the movement came a few years later in the form of sustainability science, which developed and consolidated in keeping with the dynamics of any new scientific discipline. This review analyses its development based on the papers listed in the web of science (WoS) category ‘Green and sustainable science and technology’. The bibliometric methodology used included social network and multivariate analysis focusing on journal, discipline and subject inter-relationships to map and analyse developments in this new field. The main findings identified four clusters of journals with different patterns of development: sustainability, renewable energies, green chemistry and green ecology. Mainstream and emerging subjects were determined on the grounds of co-word analysis.

https://www.inderscienceonline.com/doi/abs/10.1504/IJISD.2021.118375

Author(s): Andrés Pandiella-Dominique, Núria Bautista-Puig and Daniela De Filippo
Organization(s): University Carlos III of Madrid
Source: International Journal of Innovation and Sustainable Development
Year: 2021

A postcolonial feminist exploration of the scholarship on women and educational leadership with a bibliometric approach

Network analysis, Research Examples, Research profiling, Research Type

This study applied a bibliometric approach to a dataset of publications on women and educational leadership to critically explore the nature of research in the field and the utility of the bibliometric method in its mapping. The analysis was conducted on bibliographic records of 823 papers on women and educational leadership published from 1975 to 2020, which had been retrieved from the Web of Science. The results are presented in the form of lists of most impactful papers; most productive research centres/organizations and countries; similar lists of contributing disciplines and publication venues; as well as maps visualizing collaborative activity. A postcolonial feminist perspective used in interpretation of the results reveals that, on the one hand, the approach makes it possible to uncover the persistent coloniality and linguistic hegemony in the field, whereas, on the other hand, bibliometric metrification may contribute to Western epistemic violence and valorisation of scholarship in masculinist terms.

https://doi.org/10.1177%2F17411432211003885

Author(s): Aliya Kuzhabekova
Organization(s): Nazarbayev University
Source: Educational Management Administration and Leadership
Year: 2021

Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis (full-text)

Patents, Research Examples, ST&I indicators

Artificial intelligence (AI) is emerging as a technology at the center of many political, economic, and societal debates. This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. Results indicate a growing yet concentrated, non-collaborative and multi-path development and protection profile for AI patenting, with cross-organization knowledge flows based mainly on interorganizational knowledge citation links.

Full-Text available at https://doi.org/10.1371/journal.pone.0262050

Author(s): Na Liu, Philip Shapira, Xiaoxu Yue, Jiancheng Guan
Organization(s): Shandong Technology and Business University, University of Manchester, Tsinghua University, University of Chinese Academy of Sciences
Source: PLoS ONE
Year: 2021

Library Responses During the Early Days of the Pandemic: A Bibliometric Study of the 2020 LIS Literature (full-text)

Research Type

As society emerges from an unprecedented pandemic that saw the closure of libraries, schools, and universities worldwide, the potential lasting impacts on institutions, professions, and communities can begin to be assessed. Through a bibliometric study of COVID-19-related library publishing, combined with thematic coding of article abstracts, this paper provides an initial glimpse into the impacts of the pandemic on library operations, services, collections, and the workforce. Two hundred thirty-seven journal articles published in 2020 about libraries and the pandemic were identified and analyzed. These articles indicate broad cross-sectoral, global impacts on libraries and librarianship. This analysis provides a baseline for future research on the lasting effects of the pandemic on the field.

https://doi.org/10.1080/01930826.2021.1984139

(A full-text pre-print scholarly version is available at https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1267&context=lib_fsdocs)

Author(s): Jane Kinkus Yatcilla, Sarah Young
Organization(s): Purdue University, Carnegie Mellon University
Source: Journal of Library Administration
Year: 2021