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Green scheduling to achieve green manufacturing: Pursuing a research agenda by mapping science (Full-Text)

The strengthening of measures to reduce greenhouse gas emissions meant that manufacturing scheduling had to acquire a green approach. The need to reduce energy consumption becomes necessary for companies to achieve sustainable development. Therefore, a new challenge for the scientific community was foreseen, researching new algorithms or knowledge hubs to achieve green scheduling. Green scheduling may be considered one of the principles of green manufacturing, aimed at minimizing environmental damage and energy waste. A review of the literature shows that there are no research works that analyze the scientific development carried out in “green scheduling” through methodologies based on bibliometric analysis, thus the need and the novelty of this research. Based on a dataset formed by 420 scientific documents published from 2006 to 2020 a bibliometric and network analysis is carried out to find the scientific trends, the main relationships according to collaborations and intermediaries, and the research hubs that help to establish the research agenda. The results show that “green scheduling” is a growing research area in the scientific community and in recent years the number of new research topics has experienced considerable growth. This research is developed in Asia, Europe and America, but China stands out as the most productive, collaborative, intermediary, influential and active country at present, through its organizations which are mainly universities, such as Huanzhong University of Science and Technology and Tongji University. However, research development related to green scheduling is carried out in a collaborative environment between institutions located in different countries, allowing countries that are not scientific powerhouses to develop research in the area. The network analysis makes it possible to define the research framework through the clustering of the dataset’s research keywords, highlighting that the main areas of research focus on the development of new methods through algorithms aimed at improving energy efficiency in production environments, in areas of computational development such as cloud computing, and in transportation. The most cited research papers, considered the main drivers of knowledge, are published in high-quality research journals, and are mainly developments in scheduling algorithms for different work environments with a green approach. Research findings can provide the academic community with relevant information about green scheduling to make appropriate decisions and become a research agenda for future research.


Author(s): Izaskun Alvarez-Meaza, Enara Zarrabeitia-Bilbao, Rosa-María Rio-Belver, Gaizka Garechana-Anacabe
Organization(s): University of the Basque Country
Source: Technology in Society
Year: 2021

Determination of factors driving the genome editing field in the CRISPR era using bibliometrics (full-text)

Over the past two decades, the discovery of CRISPR-Cas immune systems and the repurposing of their effector nucleases as biotechnological tools have revolutionized genome editing. The corresponding work has been captured by 90,000 authors representing 7,600 affiliations in 126 countries, who have published more than 19,000 papers spanning medicine, agriculture, and biotechnology. Here, we use tech mining and an integrated bibliometric and networks framework to investigate the CRISPR literature over three time periods. The analysis identified seminal papers, leading authors, influential journals, and rising applications and topics interconnected through collaborative networks. A core set of foundational topics gave rise to diverging avenues of research and applications, reflecting a bona fide disruptive emerging technology. This analysis illustrates how bibliometrics can identify key factors, decipher rising trends, and untangle emerging applications and technologies that dynamically shape a morphing field, and provides insights into the trajectory of genome editing

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Author(s): Ying Huang, Yi Zhang, Mengjia Wu, Alan Porter, and Rodolphe Barrangou
Organization(s): Wuhan University, University of Technology Sydney, North Carolina State University
Source: The CRISPR Journal
Year: 2021

Public innovation: what it is and how it happens through i-Labs

The complexity involved in the solution for public issues requires innovation. Despite the importance, there is little research to translate theories into practice. The aim of this paper is to investigate innovation for public issues through public innovation laboratories (i-Labs). To achieve this, a systematic literature review from documents published since 2004 up to 2019 in Web of Science® was carried out. Data mining software Vantage Point® and Vosviewer® and qualitative analysis software MAXQDA® were used to study 275 articles. Results show the need to deepen in the construction of the public innovation theory through the development of longitudinal studies. The study also found that it is possible to generate public innovation by the integration of; in the laboratory: co-creation, collaborative innovation, experimentation, public-private partnership and citizen participation.

Author(s): Lizeth Fernanda Serrano-Cárdenas, Yessika Lorena Vásquez González, Flor Nancy Díaz-Piraquive
Organization(s): Universidad del Rosario, Universidad de Bogotá Jorge Tadeo Lozano, Fundación Universitaria Internacional de La Rioja UNIR
Source: International Journal of Web Engineering and Technology
Year: 2021

Analysis of Current Status and Evolution Trend of E-waste Resources Utilization Based on Literature Measurement (Full-Text Chinese)

As a comprehensive resource, e-waste contains many precious resources. Resource utilization is an important way to solve the problems of resource shortage and environmental pollution. Based on the paper data collected in Web of Science Core Collection, this article analyzes the paper in the field of the e-waste resource utilization from 1994 to 2019. Using the Derwent data analysis tool (Derwent Data Analyzer, DDA) and VOSviewer software, it reveals the research status and evolution trend, major countries, leading research institutions, major co-authors, keywords, and highly cited papers in the field of e-waste resource utilization.

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Author(s): Yu Yan
Organization(s): Guangdong Science and Technology Library
Source: Science Focus
Year: 2021

A text mining-based approach for the evaluation of patenting trends on nanomaterials

Technological developments in nanomaterials can be tracked using patent indicators. However, the traditional International Patent Classification indicators cannot be considered conclusive, since nanotechnology is not easily defined as a field of research as well as there are different types of nanomaterials not well delineated into hierarchical codes. Therefore, text mining approaches can be used to enhance patent analysis and provide insightful trends to support research and development, competitive intelligence, and policy making. This study aims at proposing a method to classify nanomaterials into main types and mapping technological developments using an advanced text mining-based method to compile patent indicators. Patent records were provided by Derwent Innovations Index database, which indexes an enhanced bibliographic data of patents filed worldwide. A comparison between the IPC indicators and those developed here by text mining is presented. We concluded that the proposed method provides useful outcomes for decision-making, technological forecasting, and material selection process.

Author(s): Douglas Henrique Milanez, Leandro Innocentini Lopes de Faria, Daniel Rodrigo Leiva
Organization(s): Federal University of São Carlos
Source: Journal of Nanoparticle Research
Year: 2021

Investigating the active learning research landscape through a bibliometric analysis of an influential meta-analysis on active learning (full-text)

To gain a better understanding of the landscape of active learning research, we conducted a bibliometric analysis of 1671 scholarly sources that cited the influential meta-analysis on active learning conducted by Freeman et al. We investigated eight research questions including yearly publication trends; authorships; country/region affiliations, organizations, and funding entities; Web of Science Core Collection (WOSCC) subject categories; document types; and publication outlets. Results showed an increasing number of sources from 2014 to 2019, 17% of sources supported by the National Science Foundation, approximately 75% of sources published in journals, the majority of sources published in Science, Technology, Engineering, and Mathematics (STEM) journals, and most of the publication outlets categorized in education- or science-related disciplines in WOSCC. In addition, there were 5 countries/regions and 8 universities that tended to be the most highly represented within sources citing the meta-analysis. These results highlight the impact of a prominent meta-analysis and the widespread reach it has had around the world. Implications for how this study may impact research consumers and producers are discussed.


Author(s): Amedee Marchand Martella, Jane Kinkus Yatcilla, Helen Park, Nancy E. Marchand-Martella, Ronald C. Martella
Organization(s): Purdue University
Source: SN Social Sciences
Year: 2021

Mapping experience research across disciplines: who, where, when (full-text)

Human experiences have been studied in multiple disciplines, Human–Computer Interaction (HCI) being one of the largest research fields with its user experience (UX) research. Currently, there is little interaction between experience researchers from different disciplines, although cross-disciplinary knowledge sharing has the potential to accelerate the development of UX and other experience research fields to the next level. This article reports a research profiling study of almost 52,000 experience publications over 125 years, showing the breadth of experience research across disciplines. The data analysis reveals the disciplines that study experiences, the prominent authors, institutions and countries in experience research, the most cited works by experience researchers across disciplines, and how UX research is situated on the map of experience research. This descriptive research profiling study is a necessary first step on the journey of mapping the landscape of experience research, guiding researchers towards understanding experience as a multidisciplinary concept, and establishing a more coherent experience research field.


Author(s): Virpi Roto, Johanna Bragge, Yichen Lu, Darius Pacauskas
Organization(s): Aalto University
Source: Quality and User Experience
Year: 2021

A world panorama of bruxism in children and adolescents with emphasis on associated sleep features: A bibliometric analysis (full-text)

Background and Objectives
To present a world panorama of the published papers on bruxism in children and adolescents, emphasising the characteristics of studies related to the sleep features of these patients.

Literature searches were conducted in six databases without language or date restrictions. Data on the titles, types of study, main subjects, countries of origin, keywords, years of publication, authors and their network collaborations, journals and sleep studies were extracted and analysed using VantagePoint™ software.

A total of 725 studies met the eligibility criteria. Most included only children (75.31%), with observational design (66.34%), and risk or aetiology (53.93%) as the main subject. Brazil (18.06%) and Brazilian authors (54.84%) had the largest number of studies, with a low amount of network collaboration. The Journal of Oral Rehabilitation published most of the studies (6.2%); publications in this field have grown considerably from 2000 to 2020. Of the studies, 123 (16.96%) included sleep studies; night sweating, restless sleep, sleep talking, mouth breathing, snoring, obstructive sleep apnoea syndrome, sleep-disordered breathing, nightmares, poor sleep quality and duration, and daytime naps were significantly associated with bruxism in most.

Studies on bruxism in children and adolescents have increased in the past 20 years, with most being observational, and risk or aetiology as the main subject. Brazil and the Journal of Oral Rehabilitation have published most in the field. Sleep studies have shown some features associated with bruxism, such as night sweating, restless sleep, somniloquy, snoring, breathing problems, nightmares, daytime naps, and poor sleep quality and duration.


Author(s): Mariana Batista Ribeiro-Lages, Lucas Alves Jural, Marcela Baraúna Magno, José Vicente-Gomila, Daniele Masterson Ferreira, Andréa Fonseca-Gonçalves, Lucianne Cople Maia
Organization(s): Universidade Federal do Rio de Janeiro, Universitat Politècnica de València
Source: Journal of Oral Rehabilitation
Year: 2021

Recent Trends in Sedentary Time: A Systematic Literature Review (full-text)

This paper systematically reviews and synthesizes the relevant literature on sedentary time research. A bibliometric analysis was conducted to evaluate the publications from 2010 to 2020 in the Web of Science (WoS) core collection database. Derwent Data Analyzer software was used for the cleaning, mining, and visualization of the data. Historical trends of the topics, main contributors, leading countries, leading institutions, leading research areas, and journals were explored. A total of 3020 publications were studied. The United States, the United Kingdom, and Australia are the three most productive countries. The Australian institution Baker Heart and Diabetes Institute led the list of productive institutions, and Ekelund U published the most papers. Sedentary time raised the concerns of scholars from 106 research areas, and public health was the dominant field. Physical activity, accelerometer, children, and obesity were the most frequently used keywords. The findings suggest that sedentary time is rapidly emerging as a global issue that has detrimental effects on public health. The hotspots shifted in the past 10 years, and COVID-19 was the most popular topic of sedentary time research.


Author(s): Hui Fang, Yuan Jing, Jie Chen,Yanqi Wu, Yuehua Wan
Organization(s): Zhejiang University of Technology
Source: Healthcare
Year: 2021

Exploring New Approaches to Understanding Innovation Ecosystems

A firm’s connections into its ecosystem influences its ability to innovate. Much research on innovation ecosystems has examined high technology firms and locations and has used interview, survey, or science and technology data methods. Our study focuses on a resource-based ecosystem—agri-food in a medium-sized region—and explores a novel method using media sources to identify ecosystem links. We use this method to capture the innovation ecosystem around two plant-based protein firms and a conventional food processor in Winnipeg, Canada. We extract organisational actors from the full text of business and news articles, link co-occurring actors in social networks, and use modularity partitioning to detect communities in these networks. Our results show that the focal agri-food firms vary in their ecosystem associations, with little duplication in the actor organisations across the different firms’ networks. The plant-based protein firm networks had a greater innovation orientation than was noticeable in the established food producer’s network, particularly with industry and civic association intermediaries, government, and other agricultural companies. Insights from using the method and implications of the findings are discussed.

Author(s): Jan Youtie, Robert Ward, Philip Shapira, R. Sandra Schillo, E. Louise Earl
Organization(s): Georgia Institute of Technology, University of Ottawa
Source: Technology Analysis & Strategic Management
Year: 2021