Results 81 to 90 of about 4,186 (258)
An illustrated guide to: Parsimonious multi-scale full-waveform inversionKey points
Having been a seemingly unreachable ideal for decades, 3-D full-waveform inversion applied to massive seismic datasets has become reality in recent years.
Andreas Fichtner +3 more
doaj +1 more source
Single‐cell mechanomics demonstrates that pharmacological perturbation changes cytoskeletal and cortical structure, suppressing cancer cell invasiveness. By integrating atomic force microscopy (AFM)‐based cortical measurements with stimulated emission depletion (STED)‐resolved adhesion and cytoskeletal organization, this approach identifies nanoscale ...
Minhee Ku +4 more
wiley +1 more source
Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows
Full waveform inversion (FWI) is able to construct high‐resolution subsurface models by iteratively minimizing discrepancies between observed and simulated seismic data.
Feng Liu +3 more
doaj +1 more source
Primary cultures of neuroblasts isolated from the nucleus basalis of Meynert of 12‐weeks‐old human foetuses were prepared. Whole‐cell patch‐clamp recordings were performed by injecting a depolarizing stimulus current (+500 pA; 500 ms), and the membrane voltage recorded; this stimulus current evoked periodic‐like oscillations in membrane voltage ...
Elisabetta Coppi +9 more
wiley +1 more source
Coupling deep learning with full waveform inversion
To appear in Handbook of Numerical Analysis 27: Machine Learning Solutions for Inverse Problems: Part ...
Wen Ding 0003 +2 more
openaire +2 more sources
An Innervated Human Skin Equivalent that Electrically Encodes Mechanical and Thermal Stimuli
An innervated human skin equivalent is integrated with high‐density microelectrode arrays to reveal how engineered free nerve ending–like structures translate touch and temperature into electrical codes. Mechanical indentation and thermal stimulation engage the engineered somatosensory circuitry and evoke distinct firing and waveform signatures ...
Daniele Bellantoni +6 more
wiley +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
A multifunctional EV‐based nanoplatform (Ang‐TEVs@Gel) was engineered via preconditioning, surface targeting, and ROS‐responsive hydrogel encapsulation to reprogram microglia. This system restored autophagy via miR‐664a‐3p/PIK3CA axis, cleared myelin debris, resolved neuroinflammation, and promoted axon remyelination, ultimately achieving robust motor ...
Wu Xiong +17 more
wiley +1 more source
RRAM Variability Harvesting for CIM‐Integrated TRNG
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende +4 more
wiley +1 more source
Three-dimensional inversion of airborne transient electromagnetic (ATEM) data is computationally demanding because it requires repeated forward simulations and sensitivity calculations.
Huake Cao +3 more
doaj +1 more source

