Author: VPInstitute
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Different approaches of bibliometric analysis for data analytics applications in non-profit organisations (FULL-TEXT)
Profitable companies that used data analytics have a double gain in cost reduction, demand prediction, and decision-making. However, using data analysis in non-profit organisations (NPOs) can help understand and identify more patterns of donors, volunteers, and anticipated future cash, gifts, and grants. This article presents a bibliometric study of 2673 to discover the use of…
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Green hydrogen production: a bibliometric analysis (O-4H) (Full-Text Extended Abstract)
The intervention of hydrogen of renewable origin, green H2, in the energy mix of a country is a topic of great interest today as it is emerging as an energy vector conducive to the decarbonization of the economy and the energy transition from a fossil energy system to one based on renewable energies [1]. Thus,…
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Worldwide research trends on the use of chemical–mechanical caries removal products over the years: a critical review (Full-Text)
Chemical–mechanical caries removal (CMCR) products are in constant evolution and were recommended during the COVID-19 pandemic as substitutes for conventional caries removal. The aim of this paper is to characterize the worldwide scientific literature about CMCR products, over the years, by means of a critical review. An electronic search was performed on Medline/PubMed, Scopus, Web…
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How does Regulatory Uncertainty Shape the Innovation Process? Evidence from the Case of Nanomedicine
This study investigates the effect of regulatory uncertainty on the translation of scientific discovery on emerging research topics to technical applications in science-driven industry. Our empirical analysis using the case of the US Federal Drug and Food Administration’s release of the report on the regulatory approach to nanomedicine in 2007 shows that; (1) the regulatory…
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A hybrid approach to identify and forecast technological opportunities based on topic modeling and sentiment analysis (Full-Text)
The spring up of new & emerging technologies brings a lot of innovation opportunities for society, which enables technology opportunities analysis attracts increasing attention by both industry and academia recently. This study proposes a hybrid approach which integrates topic modeling, sentiment analysis, patent mining and expert judgment to identify technological topics and the potential development…
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Technological Emergence and Military Technology Innovation
To what extent is military technology innovation emergent? This study answers this question by applying an emergence detection algorithm to roughly 300,000 technical terms extracted from military technology patents granted from 1980 to 2019. Emergence – instances of sudden and rapid growth of a technical term within the military patent corpus – is found to…
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Future of genetic therapies for rare genetic diseases: what to expect for the next 15 years? (Full-Text)
Rare genetic diseases affect millions of people worldwide. Most of them are caused by defective genes that impair quality of life and can lead to premature death. As genetic therapies aim to fix or replace defective genes, they are considered the most promising treatment for rare genetic diseases. Yet, as these therapies are still under…
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Scientific Trends in Artificial Neural Networks for Management Science
The use of artificial neural network (ANN) is growing significantly, and their areas of application are varied. In this case, the main aim of the study is to present an overall view of trends and research carried out in ANNs specifically in management science. To this aim, the data of publications about ANN in the…
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One-Year In: COVID-19 Research at the International Level in CORD-19 Data (Full-Text)
The appearance of a novel coronavirus in late 2019 radically changed the community of researchers working on coronaviruses since the 2002 SARS epidemic. In 2020, coronavirus-related publications grew by 20 times over the previous two years, with 130,000 more researchers publishing on related topics. The United States, the United Kingdom and China led dozens of…
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Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data
Understanding the complex patterns in research funding plays a fundamental role in comprehensively revealing funding preferences and informing ideas for future strategic innovation. This is especially true when the funding policies need to be constantly shifted to accommodate highly complex and ever-changing demands for technological, economic, and social development. To this end, we investigate the…