Results 111 to 120 of about 84,910 (313)
Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats
We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang +18 more
wiley +1 more source
Chiral Phase Change Nanomaterials
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow +11 more
wiley +1 more source
Self-similarity and wavelet forms for the compression of still image and video data [PDF]
This thesis is concerned with the methods used to reduce the data volume required to represent still images and video sequences. The number of disparate still image and video coding methods increases almost daily.
Levy, Ian Karl
core
Unraveling MXene Oxidation Mechanisms Under Realistic Gas Environments by In Situ Gas‐Cell TEM
Real‐time visualization of MXene degradation reveals a fundamental oxidation mechanism under oxygen and moisture environments. Using in situ gas‐cell electron microscopy, this study demonstrates that oxygen degradation drives a thermodynamically controlled high‐temperature transformation into mixed rutile/anatase phases.
Yongfa Cheng +8 more
wiley +1 more source
Spiking neural networks (SNNs) offer an energy-efficient alternative to conventional deep learning by emulating the event-driven processing manner of the brain. Incorporating Transformers with SNNs has shown promise for accuracy. However, they struggle to learn high-frequency patterns, such as moving edges and pixel-level brightness changes, because ...
Yuetong Fang +5 more
openaire +2 more sources
Multiscale Transform Methods in Data Analysis
: We describe the use of the wavelet transform for multivariate data analysis problems. In prediction, a multiscale transform of time-varying data can allow forecasts of each scale, followed by combining of the individual forecasts.
Wavelet Transform, A Trous, F. Murtagh
core
The Adequateness of Wavelet Based Model for Time Series [PDF]
In general, time series is modeled as summation of known information i.e. historical information components, and unknown information i.e. random component. In wavelet based model, time series is represented as linear model of wavelet coecients. Wavelet
Rosadi, Dedi +3 more
core
Recognition and Reconstruction of Late Auditory Evoked Potentials Using Wavelet Analysis
In this paper we introduce a recognition and reconstruction method for late auditory evoked potentials (AEPs) using wavelet analysis. AEPs are part of the Electroencephalogram (EEG) in reaction to acoustic stimuli and are used for diagnostic purposes ...
Weiss, Stephan +7 more
core +1 more source
Magnetic‐field‐assisted CVD of heterometallic single‐source precursors modulates thin‐film surface electronic structure and interfacial charge transfer. Field‐grown (Cobalt ferrite‐1T)CF‐1T films exhibit stabilized electronic states, lower kinetic barriers, and markedly enhanced nitrate‐to‐ammonia electrocatalysis versus (Cobalt ferrite‐0T) CF‐0T ...
Touraj Karimpour +11 more
wiley +1 more source
Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform
Introduction. Safety issues of railway transport are inevitably connected with the condition of railway tracks and railway wheels. Various defects, such as irregularities of the railway track, may lead to emergencies and incidents.
A. M. Boronakhin +4 more
doaj +1 more source

