The future of dynamic networks in research and clinical practice. [PDF]
Bringmann LF.
europepmc +1 more source
Cooperation, clustering, and assortative mixing in dynamic networks
David Melamed+2 more
semanticscholar +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
Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space. [PDF]
Alali M, Imani M.
europepmc +1 more source
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
Fabricating High Strength Bio-Based Dynamic Networks from Epoxidized Soybean Oil and Poly(Butylene Adipate-co-Terephthalate). [PDF]
Xu B, Xia ZM, Zhan R, Yang KK.
europepmc +1 more source
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee+3 more
wiley +1 more source
Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes. [PDF]
Al-Sa'd M, Vanhatalo S, Tokariev A.
europepmc +1 more source
Customized Dynamic Load Balancing for a Network of Workstations
Mohammed J. Zaki+2 more
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