Results 61 to 70 of about 29,669 (249)
High SNR Linear Estimation of Vector Sources
In this letter, we extend our prior work and consider decentralized estimation of unknown random vectors under high observation signal-to-noise ratio (SNR). A linear model is considered for decentralized estimation of vector sources. Observation models and sensor operations are both linear.
Alireza Shahan Behbahani +2 more
openaire +3 more sources
Self‐Assembled Calcite Architectures for Programmable Information Storage
Programmable biomineralization enables the formation of 3D calcite architectures that encode information through spatially defined refractive‐index modulations. Data are written via laser‐directed mineralization, stored in stable voxelized mineral structures, and retrieved non‐destructively through optical diffraction, offering a pathway toward ultra ...
Congrui Jin +2 more
wiley +1 more source
A sustainable polymer–carbon nanotube bilayer enables efficient near‐infrared photodetection in a simple lateral planar p–n junction thin‐film architecture. Thermal side‐chain cleavage enhances interfacial coupling, shifts the dominant photoresponse from 800 to 1000 nm, and substantially improves device performance.
Jenner H. L. Ngai +3 more
wiley +1 more source
An adeno‐associated virus (AAV) toolkit enables selective anatomical and functional targeting of striatal D1‐MSNs through retrograde transduction. Enhanced capsids and engineered enhancers drive robust transgene expression across murine and primate models.
Zexuan Hong +14 more
wiley +1 more source
New SNR estimation algorithm based on relevance vector machine
A new SNR estimation algorithm based on relevance vector machine (RVM) was proposed,it can not only be used under the flat fading channel,but also meet the request of larger estimation range and higher estimation accuracy of PSK.The estimation model was ...
Bo HAN +4 more
doaj +2 more sources
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
A dual mode switching channel estimation algorithm based on SNR decision in high speed railway scenarios was proposed.The algorithm adopted DKL-BEM and LMMSE modelling the channel and estimating the channel under different speed conditions,respectively ...
Chuanyun WANG +3 more
doaj +2 more sources
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters +12 more
wiley +1 more source

