Results 191 to 200 of about 3,066,756 (267)
Good versus optimal: Why network analytic methods need more systematic evaluation
Zweig Katharina
doaj +1 more source
RhoA and Rac1 as Mechanotransduction Mediators in Colorectal Cancer
Analysing RhoA and Rac1 protein levels in Colorectal cancer (CRC) samples under mechanical strain highlights their potential as diagnostic markers. Monitoring their activity could offer valuable insights into how cancer spreads, paving the way for new approaches to better understand and diagnose colorectal cancer.
Sharda Yadav+5 more
wiley +1 more source
Relationship extraction between entities with long distance dependencies and noise based on semantic and syntactic features. [PDF]
Wang L, Wu F, Liu X, Cao J, Ma M, Qu Z.
europepmc +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
Network-based analyses of multiomics data in biomedicine. [PDF]
Kumar R, Romano JD, Ritchie MD.
europepmc +1 more source
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia+2 more
wiley +1 more source
Drug-drug interaction prediction of traditional Chinese medicine based on graph attention networks. [PDF]
Yang B, Song D, Li Y, Wang J.
europepmc +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
Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data. [PDF]
Ademovic Tahirovic A+3 more
europepmc +1 more source
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur+5 more
wiley +1 more source