Results 121 to 130 of about 1,443,071 (277)
HMGB1 derived from the pyroptotic environment in Hirschsprung‐associated enterocolitis mediates the formation of macrophage extracellular traps through TLR4 ‐p38 MAPK/p65 NF‐kB signaling pathways. Macrophage extracellular traps induce increased ROS production and pyroptosis of colonic epithelial cells.
Rui Zhang+6 more
wiley +1 more source
Library Resource Construction and Interconnection Model Based on Linked Data [PDF]
Xinyuan Fan
openalex +1 more source
In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu+12 more
wiley +1 more source
Understanding Information Professionals: A Survey on the Quality of Linked Data Sources for Digital Libraries [PDF]
Jeremy Debattista+2 more
openalex +1 more source
Unleashing latent data, linked data and library partnerships: EBSCO technology day, Manchester (UK) [PDF]
Ray Harper
openalex +1 more source
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
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann+5 more
wiley +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Kevin R. Page+4 more
semanticscholar +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source