Results 271 to 280 of about 84,087 (307)
On Graphs Embeddable in a Layer of a Hypercube and Their Extremal Numbers. [PDF]
Axenovich M, Martin RR, Winter C.
europepmc +1 more source
Spherical bioactive glass nanoparticles containing strontium inhibit osteoclast differentiation and activity, but promote osteoblast activity in osteoblast‐osteoclast in vitro co‐culture. The nanoparticles could be used for the treatment of osteoporosis.
Parichart Naruphontjirakul +2 more
wiley +1 more source
TaGra: an open Python package for easily generating graphs from data tables through manifold learning. [PDF]
Torre D, Chicco D.
europepmc +1 more source
Hybrid Scaffolds Decouple Biochemical & Biophysical Regulation of Cell Phenotype
Replicating tissue‐specific extracellular matrix is crucial for understanding its role in disease. This work demonstrates independent control over stiffness, composition and 3D collagen architecture using hybrid scaffolds: patterned collagen perfused with defined hydrogels.
Xinyuan Song +17 more
wiley +1 more source
Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver. [PDF]
Marty T +6 more
europepmc +1 more source
Due to its multifunctionality, replicating the fibrillar and supramolecular architecture of Collagen I is gaining increasing priority in regenerative medicine. Using rotational Melt Electrofibrillation, we present a powerful method to accurately mimic the ultrastructure of Collagen with polycaprolactone, enabling the one‐step fabrication of three ...
Zan Lamberger +11 more
wiley +1 more source
All-to-all reconfigurability with sparse and higher-order Ising machines. [PDF]
Nikhar S +4 more
europepmc +1 more source
This work presents ARC‐3D, a soft 3D model that recreates how brain support cells, called astrocytes, react to oxidative stress. The system visualizes rapid calcium changes and inflammatory signals, and shows how the drug KDS12025 can protect cells from damage. ARC‐3D offers a simple, reliable way to study early drivers of brain inflammation.
Ju‐Kang Kim +6 more
wiley +1 more source
E-ABIN: an explainable module for anomaly detection in biological networks. [PDF]
Lomoio U, Mazza T, Veltri P, Guzzi PH.
europepmc +1 more source

