Literature Reviews: Key Considerations and Tips From Knowledge Synthesis Librarians. [PDF]
Parker R, Sikora L.
europepmc +1 more source
Knowledge-based development of a nitrate-free synthesis route for Cu/ZnO methanol synthesis catalysts via formate precursors [PDF]
Malte Behrens+8 more
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Using supramolecular monomers, various hydrogel culture systems were formulated to culture protoplasts; including 2D, 2.5D, and 3D hydrogels. Depending on the culture platform, bioactive functionalization led to protoplast enlargement (2D and 2.5D) or plasmolysis (3D). This work shows the potential to modularly engineer synthetic platforms for cellular
Maritza M. Rovers+3 more
wiley +1 more source
What should a paediatrician know about qualitative knowledge synthesis? [PDF]
Kokol P, Završnik J, Blažun Vošner H.
europepmc +1 more source
The Contributions of Regional Knowledge Networks Researching Environmental Changes in Latin America and Africa: a Synthesis of what they can do and why they can be policy relevant [PDF]
Myanna Lahsen+8 more
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The Regulation of Trace Metal Elements in Cancer Ferroptosis
The induction of ferroptosis inhibits tumor growth, enhances anticancer efficacy, and overcomes drug resistance. Recent evidence shows nonferrous metal elements play a role in ferroptosis. This review focuses on how trace metals regulate ferroptosis processes like iron accumulation, lipid peroxidation, and antioxidant defense.
Xiaoyan Wang+5 more
wiley +1 more source
Machine Learning Approach to Facilitate Knowledge Synthesis at the Intersection of Liver Cancer, Epidemiology, and Health Disparities Research. [PDF]
Hyams TC+5 more
europepmc +1 more source
The scoping review: A flexible, inclusive, and iterative approach to knowledge synthesis. [PDF]
Gottlieb M, Haas MRC, Daniel M, Chan TM.
europepmc +1 more source
Ubosot: The Synthesis of Indigenous Knowledge in the Construction and Renovation of Ubosot in Bangkok and Vicinity [PDF]
Sumphan Phormsit+2 more
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source