An approach for coherent periodogram averaging of tilt-series data for improved contrast transfer function estimation. [PDF]
Khavnekar S, Wan W.
europepmc +1 more source
Polynomial rings over finite dimensional rings [PDF]
openaire +3 more sources
Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing
Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner +2 more
wiley +1 more source
Operando photocatalytic cell for time-resolved XAS/GC analysis of gas phase CO<sub>2</sub> photoreduction. [PDF]
Roth S +7 more
europepmc +1 more source
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Functional Assessment of Inner and Outer Macular Layers in Idiopathic Epiretinal Membrane. [PDF]
Parisi V +9 more
europepmc +1 more source
CAUIM: Amazonian Cassava‐Based Programmable Biocolloid
Bridging indigenous heritage and computation, this work introduces the usage of cauim, a traditional Amazonian cassava fermented beverage, as a programmable memristive‐like substrate and resistance switching. The material exhibits frequency‐dependent dynamics enabling reconfigurable Boolean logic operations.
Raphael Fortulan +5 more
wiley +1 more source
Revisiting the inverse Abel integral for reconstructing velocity-map images.
Sparling C, Onvlee J.
europepmc +1 more source
Chain Size and Knots of Ring Polymers in All-Crossing and Intra-Crossing Melts. [PDF]
Mo J +11 more
europepmc +1 more source
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source

