An Opto‐Actuated Hydrogel for Cell Mechanoactuation and Real‐Time Force Monitoring
Researchers developed a mechanoactuated hydrogel interface where nanomachines exert forces on adhesion receptors and allow monitoring of traction force responses in real time. They demonstrate reversible talin recruitment, enhanced F‐actin polymerization, and a reduction in cell traction force when force is locally applied to focal adhesions of ...
Rinku Kumar +6 more
wiley +1 more source
Nystrom‐type techniques for solving electromagnetics integral equations with smooth and singular kernels [PDF]
M.V. Balaban +4 more
openalex +1 more source
A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness
Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger +17 more
wiley +1 more source
Weighted boundedness of multilinear operators associated to singular integral operators with non-smooth kernels [PDF]
Daqing Lu
openalex +1 more source
Bootstrap-based Bandwidth Selection for Semiparametric Generalized Regression Estimators [PDF]
This paper considers the problem of implementing semiparametric extremum estimators of a generalized regression model with an unknown link function. The class of estimator under consideration includes as special cases the semiparametric least-squares ...
Chuan Goh
core
Unpaired Learning‐Enabled Nanotube Identification from AFM Images
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na +10 more
wiley +1 more source
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
Fingerprint Classification Using Kernel Smoothing Technique and Generalized Regression Neural Network and Probabilistic Neural Network [PDF]
Hemad Heidari Jobaneh
openalex +1 more source
Locally Weighted Regression with different Kernel Smoothers for Software Effort Estimation [PDF]
Yousef Alqasrawi +2 more
openalex +1 more source

