Results 191 to 200 of about 1,745,817 (304)
PruDensNet: a parameter efficient depthwise separable CNN for MRI-based brain tumor classification. [PDF]
Arman M +5 more
europepmc +1 more source
Department of Applied Mathematics and Statistics newsletter, February 19, 2024
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
core
Single‐particle spectroscopy and variational quantum Monte Carlo simulations reveal that strong many‐body correlations fundamentally alter biexciton radiative recombination in weakly confined CsPbBr3 quantum dots. Intra‐ and inter‐exciton correlations reverse the conventional lifetime hierarchy, yielding biexcitons with longer radiative lifetimes than ...
Chenglian Zhu +11 more
wiley +1 more source
Complication Spectrum Following Expanded Endoscopic Endonasal Surgery for Intradural Skull Base Tumors: A Systematic Review and Meta-Analysis. [PDF]
Hafiz B +9 more
europepmc +1 more source
Using a bottom‐up approach, we engineered a human neuromuscular microchip to investigate distinct adaptive responses to neural stimulation and metabolic stress. Further integration of endothelial cells revealed their critical role in modulating neuromuscular excitability, establishing a comprehensive neurovascular‐muscular model.
Jinchul Ahn +17 more
wiley +1 more source
A lightweight hybrid attention network with multi-scale feature integration for intelligent recognition of underwater acoustic targets. [PDF]
Mahmud NA +8 more
europepmc +1 more source
Department of Applied Mathematics and Statistics Newsletter, September 8, 2025
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
core
This study presents the first demonstration of stable sub‐50‐micron single‐cell GPM vesicles fabricated through the intrinsic self‐assembly of an amphiphilic copolymer. Hierarchical assembly of cell containing GPM vesicles into microspheres enable tunable, sustained cell delivery with immune protection.
Viola B. Morris +11 more
wiley +1 more source
A lightweight and cross-scale attention network for geological hazard detection in rescue robotics. [PDF]
Ren K +7 more
europepmc +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source

