Results 151 to 160 of about 179,012 (271)
Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework. [PDF]
Li J, Tan B, Qin Y, Mo Y.
europepmc +1 more source
Advanced Microfluidics for Single Cell‐Based Cancer Research
Cutting‐edge microfluidic platforms are transforming single‐cell cancer research. This review highlights advanced technologies, from droplet microfluidics to tumour‐chips, that enable functional and spatial single‐cell analyses. By integrating biosensing, immune components, and patient‐derived materials, these systems offer new insights into tumour ...
Adriana Carneiro +10 more
wiley +1 more source
A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions. [PDF]
Dienstbier J, Liers F, Rolfes J.
europepmc +1 more source
Electragel for Advanced Static Charge Mitigation and Energy Harvesting
Electragel is a transformative material that scavenges static charges for simultaneous dissipation and electricity generation, enabling dual‐purpose static control and energy harvesting across industries while shifting paradigms from mitigation to sustainable utilization of electrostatic energy. Abstract The heightened sensitivity of modern electronics
Irum Firdous +5 more
wiley +1 more source
TSHR‐Targeting Nucleic Acid Aptamer Treats Graves' Ophthalmopathy via Novel Allosteric Inhibition
This study presents YC3, a novel inhibitory TSHR‐targeting aptamer, as a promising therapeutic for Graves' ophthalmopathy (GO). YC3 suppresses pathological phenotypes in human orbital fibroblasts and improves outcomes in GO mice by binding to a previously unidentified allosteric site on TSHR, demonstrating the potential of aptamers in advancing ...
Yanchen Zhang +16 more
wiley +1 more source
New fixed points of mixed monotone operators with applications to nonlinear integral equations. [PDF]
Xu S, Han Y, Lin S, Zhou G.
europepmc +1 more source
An inverse co‐design framework integrates neural networks and physics‐based models to engineer soft lattice foams with independently tunable mechanical and sensory properties. By layering architected foams and optimizing electrode placement, this method enables multifunctional wearable sensors.
Qinghua Guan +3 more
wiley +1 more source
On Riemann-Liouville integrals and Caputo Fractional derivatives via strongly modified (p, h)-convex functions. [PDF]
Nosheen A +4 more
europepmc +1 more source
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong +7 more
wiley +1 more source

