Results 191 to 200 of about 513,616 (274)
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Tailoring Electronic Properties of Precision Graphene Nanoribbons via Nanopore Engineering
Novel porous graphene nanoribbons incorporating [18]annulene nanopores, together with a nonporous GNR of identical width, have been synthesized. Spectroscopic and theoretical analyses reveal that nanopore incorporation effectively tunes their electronic properties by enlarging the bandgap, reducing charge‐carrier mobility, and modulating exciton ...
Kun Liu +19 more
wiley +2 more sources
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Chronic Cholesterol Exposure Disrupts Macrophage Polarization and Cytokine Secretion in a 3D Microenvironment. [PDF]
Alzaabi AA +5 more
europepmc +1 more source
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source
Blood Cell Mitochondrial Respiration Increases With Age and Varies by Sex in Healthy Adults. [PDF]
Phang HJ +9 more
europepmc +1 more source
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
M1 Macrophage-Derived Small Extracellular Vesicles as Synergistic Nanotherapeutics: Harnessing Intrinsic Anticancer Activity and Drug Delivery Capacity. [PDF]
Kim G +9 more
europepmc +1 more source

