Author: VPInstitute
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Integrative model for discovering linked topics in science and technology
Highlights• The science and technology semantic linkage integration model improves the identification of linked topics in science and technology (LTSTs). • Simple fusion and link prediction form a twofold model to identify topics and implicit semantics. • Term co-occurrence networks of basic and applied research are fused. • The fusion expands topic networks and enhances…
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Research Trends on Pillared Interlayered Clays (PILCs) Used as Catalysts in Environmental and Chemical Processes: Bibliometric Analysis (full-text)
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…
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Combining topic modeling and SAO semantic analysis to identify technological opportunities of emerging technologies
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…
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Anticipating New Treatments for Cystic Fibrosis: A Global Survey of Researchers (full-text)
Cystic fibrosis is a life-threatening disease that affects at least 100,000 people worldwide. It is caused by a defect in the cystic fibrosis transmembrane regulator (CFTR) gene and presently, 360 CFTR-causing mutations have been identified. Since the discovery of the CFTR gene, the expectation of developing treatments that can substantially increase the quality of life…