Results 171 to 180 of about 1,095,825 (329)
Characterising group-level brain connectivity: A framework using Bayesian exponential random graph models. [PDF]
Lehmann BCL+4 more
europepmc +1 more source
A hybrid‐nested microneedle/cryogel scaffold (MQW‐CMg‐MOF) is designed for efficient biofilm removal and accelerated healing of diabetic wounds. The scaffold shows substantial biofilm removal in vitro and in a preclinical diabetic swine biofilm‐infected wound model compared to the control.
Syed Muntazir Andrabi+11 more
wiley +1 more source
Some large deviation results for sparse random graphs [PDF]
Neil O’Connell
openalex +1 more source
Biofilm Control by Active Topography with Mucin Coating
This study reports a new antifouling strategy based on a bioinspired design. Mucin coating enhances biofilm control by active topography with beating micron‐sized pillars. Besides the mechanical force of beating pillars, the antibiofilm activities also involve biological factors since mucin coating inhibits swarming motility and c‐di‐GMP synthesis in ...
Zehui Han+4 more
wiley +1 more source
Exponential-Family Random Graph Models for Multi-Layer Networks. [PDF]
Krivitsky PN, Koehly LM, Marcum CS.
europepmc +1 more source
The harmonic mean formula for probabilities of unions: applications to sparse random graphs
David Aldous
openalex +1 more source
The choice number of random bipartite graphs [PDF]
Noga Alon, Michael Krivelevich
openalex +1 more source
A laser‐driven strategy enables precise microstructural modulation of Mo₂C, achieving nanoscale grain control (15.6 ± 5 nm) and an ultrahigh grain boundary density (130 µm−1). Moreover, high‐angle grain boundaries enhance active sites, facilitate electron transport, and optimize hydrogen adsorption kinetics, significantly reducing overpotential.
Seok‐Ki Hyeong+13 more
wiley +1 more source