Results 111 to 120 of about 2,065,913 (297)
Atomic norm algorithms for blind spectral super-resolution problems
Includes bibliographical references.2019 Summer.This thesis focuses on the development of atomic norm based algorithms for particular instances of blind super-resolution problems appearing in wireless communications, modal analysis in sensor networks ...
Helland, Jonathan W.
core
L‐cysteine‐configured chiral polyurethane nanoparticles suppress ocular inflammation and reduce extracellular matrix (ECM) degradation in ectopia lentis by regulating macrophages polarization and inhibiting nuclear factor kappa B signaling pathway. By promoting zonular fiber‐associated protein restoration and tissue repair, this minimally invasive ...
Yinuo Wen +17 more
wiley +1 more source
CN-BSRIQA: Cascaded network - blind super-resolution image quality assessment
High resolution (HR) images consist of higher quality and more detail information in comparison to low-resolution images. But obtaining HR images entails higher costs and requires a larger workforce.
Mobeen Ur Rehman +5 more
doaj +1 more source
Nonparametric Blind Super-Resolution Using Adaptive Heavy-Tailed Priors
Single-image nonparametric blind super-resolution is a fundamental image restoration problem yet largely ignored in the past decades among the computational photography and computer vision communities.
Lin, Yun-Zhi, +5 more
core +1 more source
Cigarette smoke accelerates the aging of immune cells in the lung. By combining human single‐cell sequencing, cell culture, and mouse models, the authors show that the protein GEM drives mitochondrial damage and senescence in alveolar macrophages by suppressing SIRT3.
Jin Wang +8 more
wiley +1 more source
Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong +24 more
wiley +1 more source
Local learning-based image super-resolution
Local learning algorithm has been widely used in single-frame super-resolution reconstruction algorithm, such as neighbor embedding algorithm [1] and locality preserving constraints algorithm [2].
YuanHaoliang +6 more
core
MFGAN: OCT Image Super-resolution and Enhancement with Blind Degradation and Multi-frame Fusion [PDF]
Optical coherence tomography (OCT) is crucial in medical imaging, especially for retinal diagnostics.However, its effectiveness is often limited by imaging devices, resulting in high noise levels, low resolution, and reduced sampling rates, which hinder ...
Xu, Z +11 more
core +1 more source
Integrative multi‐omics analysis delineates a mitochondrial–immune axis governing neoadjuvant chemotherapy response in high‐grade serous ovarian cancer. Immune‐active tumors exhibit enhanced B‐cell infiltration and favorable sensitivity, whereas metabolically rewired tumors display oxidative phosphorylation dependency and resistance.
Wei Jiang +11 more
wiley +1 more source
SERS Facemask for Rapid and Portable Sensing Mycobacterium Tuberculosis Antigens for TB Screening
Our study introduced an Au─Ag embedded covalent organic framework (U@COF) ‐mediated facemask for sensing TB antigen ESAT‐6/CFP‐10 complex in clinical droplet samples toward TB screening. Practical analysis of clinical samples demonstrated the availability of our facemask, which is capable of identifying the TB subjects (N = 17) from healthy candidates (
Lingzhi Chen +20 more
wiley +1 more source

