Results 21 to 30 of about 541,388 (266)
WD patients with dystonia were more susceptible to suffer from low BMI and highߚlevel neurological dysfunctions. It was the first time to apply the PSE of EEG to detect the cortical synaptic activity in WD patients. The cortical activities of the WD patients with dystonia seemed to be more chaotic during the eyes‐closed and reading tasks but lower ...
Shaoru Zhang+9 more
wiley +1 more source
Analysis-by-Synthesis Quantization for Compressed Sensing Measurements [PDF]
We consider a resource-limited scenario where a sensor that uses compressed sensing (CS) collects a low number of measurements in order to observe a sparse signal, and the measurements are subsequently quantized at a low bit-rate followed by transmission or storage.
arxiv +1 more source
Selective soldering via molten metal printing enables component integration, even in heat‐sensitive applications across fields like additive manufacturing, sustainable electronics, and smart textiles. This method overcomes the temperature limitations of existing technologies.
Dániel Straubinger+4 more
wiley +1 more source
Gate‐Tunable Hole Transport in In‐Plane Ge Nanowires by V‐Groove Confined Selective Epitaxy
Ge nanowires are promising for hole spin‐based quantum processors, requiring direct integration onto Si wafers. This work introduces V‐groove‐confined selective epitaxy for in‐plane nanowire growth on Si. Structural and low‐temperature transport measurements confirm their high crystalline quality, gate‐tunable hole densities, and mobility.
Santhanu Panikar Ramanandan+11 more
wiley +1 more source
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho+8 more
wiley +1 more source
Efficient Quantization Strategies for Latent Diffusion Models [PDF]
Latent Diffusion Models (LDMs) capture the dynamic evolution of latent variables over time, blending patterns and multimodality in a generative system. Despite the proficiency of LDM in various applications, such as text-to-image generation, facilitated by robust text encoders and a variational autoencoder, the critical need to deploy large generative ...
arxiv
Deinococcus radiodurans‐derived extracellular vesicles (R1‐EVs) provide radioprotection against total‐body irradiation‐induced acute radiation syndrome in mice. R1‐EVs mitigate oxidative damage by scavenging free radicals, promoting intestinal repair, enhancing hematopoietic function, and modulating immune responses. This study highlights the potential
Jeong Moo Han+7 more
wiley +1 more source
This review explores how advanced materials enhance Bio‐FETs for precision healthcare and biosensing. It covers their working principles, surface functionalization, and ultra‐sensitive detection capabilities. The integration of flexible designs, AI, and IoT for real‐time monitoring is discussed, along with challenges like material reproducibility and ...
Minal Pandey+5 more
wiley +1 more source
Asymptotic Task-Based Quantization with Application to Massive MIMO [PDF]
Quantizers take part in nearly every digital signal processing system which operates on physical signals. They are commonly designed to accurately represent the underlying signal, regardless of the specific task to be performed on the quantized data. In systems working with high-dimensional signals, such as massive multiple-input multiple-output (MIMO)
arxiv +1 more source
In this review, the recent development of deep‐blue (≤465 nm) perovskite light‐emitting diodes (PeLEDs) are summarized, using different perovskite nanomaterials, including nanocrystals (NCs), quantum dots (QDs), nanoplatelets (NPLs), quasi‐2D thin film, 3D bulk thin film, as well as lead‐free perovskite nanomaterials.
Pui Kei Ko+6 more
wiley +1 more source