Results 131 to 140 of about 3,038,089 (290)
Modifying Glucose Metabolism Reverses Memory Defects of Alzheimer's Disease Model at Late Stages
Using spatial transcriptomics, we show that ferul enanthate (SL‐ZF‐01) reverses episodic‐like memory deficits in aged, but not young, Alzheimer’s disease (AD) mice. SL restores glucose metabolism and Glucose Transporter 1/3 expression via an ‘Aging‐AD‐Rescue’ pattern, rescuing deficits seen in aged AD mice.
Fang Liu +14 more
wiley +1 more source
Super-Resolution and Feature Extraction for Ocean Bathymetric Maps Using Sparse Coding. [PDF]
Yutani T +10 more
europepmc +1 more source
Nanoscale Mapping of the Subcellular Glycosylation Landscape
Using multiplexed super‐resolution imaging with fluorophore‐labeled lectins, this study reports intracellular glycosylation at the nanoscale across organelles and synaptic specializations. Extending glycan analysis beyond the cell surface, Glyco‐STORM reveals distinct glycosylation nanodomains in the ER, Golgi, lysosomes, and synaptic sites.
Helene Gregoria Schroeter +4 more
wiley +1 more source
Noise filtering method in images in sparse-view covers
This article describes a method for image restoration using sparse representations. A sparse representation is a description of an image in the form of fragments of coefficients selected from a predefined dictionary.
Y.V. Goshin, D.V. Arkhipova
doaj +1 more source
PDAC has a poor prognosis due to chemoresistance. We revealed that MCU upregulation is associated with chemoresistance and stemness in PDAC. MCU‐mediated Ca2+ influx induced ER stress, activating the PERK‐ATF4/NRF2 axis to enhance PSAT1/SLC711 expression and glutathione synthesis, reducing ROS and maintaining stemness.
Zekun Li +17 more
wiley +1 more source
The Impact of Sparse Coding on Memory Lifetimes in Simple and Complex Models of Synaptic Plasticity. [PDF]
Elliott T.
europepmc +1 more source
[Re] Variational Sparse Coding
Replication
Fuente, Alfredo De La, Aduviri, Robert
openaire +1 more source
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source
Synthetic Aperture Radar Image Despeckling Based on Multi-Weighted Sparse Coding. [PDF]
Liu S, Pu N, Cao J, Zhang K.
europepmc +1 more source
Sparse coding with an overcomplete basis set: A strategy employed by V1?
B. Olshausen, D. Field
semanticscholar +1 more source

