Results 91 to 100 of about 1,664 (280)
Some results on asymptotically normable Frechet spaces
In this paper, it is shown that the asymptotically normable spaces are the smallest class of Frechet spaces which contains the nuclear Kothe spaces with continuous norm, the Banach spaces and is closed under e-tensor products and sub-spaces.
GK Palei, NP Sah
doaj +3 more sources
On decomposability and subdifferential of the tensor nuclear norm
We study the decomposability and the subdifferential of the tensor nuclear norm. Both concepts are well understood and widely applied in matrices but remain unclear for higher-order tensors. We show that the tensor nuclear norm admits a full decomposability over specific subspaces and determine the largest possible subspaces that allow the full ...
Guan, Jiewen, Jiang, Bo, Li, Zhening
openaire +2 more sources
Highly hydrophilic surfaces (water contact angle, ≈17.7°) exhibiting surprising water slipping performance (sliding angle, ≈7.3°) are successfully prepared via simple chemisorption of polyethylene glycol (PEG) organosilane and subsequent alkali‐treatment.
Hyeonjin Kim +5 more
wiley +1 more source
A giant magnetic coercivity and a vertical shift of hysteresis loops are demonstrated in Sr3YCo4O10+δ epitaxial films. The hard magnetic behavior originates from ferromagnetic spin bags stabilized within a long‐range ordered oxygen‐vacancy structure.
Yanbin Chen +12 more
wiley +1 more source
Infrared Dim and Small Target Detection Based on the Improved Tensor Nuclear Norm
In the face of complex scenes with strong edge contours and high levels of noise, suppressing edge contours and noise levels is challenging with infrared dim and small target detection algorithms.
Huajin Chen +4 more
core +1 more source
Radiation‐induced hypothyroidism follows head and neck radiotherapy due to oxidative stress and inflammation. Electrospun polycaprolactone scaffolds containing adenosine have potential to modulate thyroid repair. Scaffolds enhance thyrocyte proliferation, antioxidant enzymes glutathione peroxidase and catalase, reduce senescence and apoptosis markers ...
Maria Heim +5 more
wiley +1 more source
Randomized Tensor Robust Principal Component Analysis
Removing noise from hyperspectral images can be very beneficial for improving classification accuracy. Recently, tensor robust principal component analysis (TRPCA) has been successfully employed to reduce noise in hyperspectral images.
Mohammad Mohammadpour Salut (14272895) +3 more
core +1 more source
This study presents a bioengineered assembloid (ASM) system combining glioblastoma (GBM) cells in oxidized alginate (OA) microgels with dorsal organoids (DOs). This model simulates brain tumor‐host interactions, revealing enhanced GBM invasion, altered gene expression, and aggressive infiltration patterns, demonstrating ASM as a valuable platform for ...
Chao Liang +17 more
wiley +1 more source
The fusion of a low-spatial-resolution hyperspectral image (LR-HSI) and a high-spatial-resolution multispectral image (HR-MSI) is an effective way to generate a high-resolution hyperspectral image (HR-HSI).
Jun Zhang, Mengling He, Chengzhi Deng
doaj +1 more source
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină +2 more
wiley +1 more source

