Results 111 to 120 of about 12,985,730 (296)

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

open access: yesFEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani   +3 more
wiley   +1 more source

Join multiple Riemannian manifold representation and multi‐kernel non‐redundancy for image clustering

open access: yesCAAI Transactions on Intelligence Technology
Image clustering has received significant attention due to the growing importance of image recognition. Researchers have explored Riemannian manifold clustering, which is capable of capturing the non‐linear shapes found in real‐world datasets.
Mengyuan Zhang, Jinglei Liu
doaj   +1 more source

Indoor Image Representation by High-Level Semantic Features

open access: yesIEEE Access, 2019
Indoor image features extraction is a fundamental problem in multiple fields such as image processing, pattern recognition, robotics, and so on. Nevertheless, most of the existing feature extraction methods, which extract features based on pixels, color,
Chiranjibi Sitaula   +4 more
doaj   +1 more source

Body image distortions following spinal cord injury [PDF]

open access: yes, 2013
Background: Following spinal cord injury (SCI) or anaesthesia, people may continue to experience feelings of the size, shape, and posture of their body, suggesting that the conscious body image is not fully determined by immediate sensory signals.
Longo, Matthew R.   +9 more
core   +1 more source

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

open access: yesFEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi   +6 more
wiley   +1 more source

Blind image quality assessment with hierarchy : degradation from local structure to deep semantics

open access: yes, 2019
Though blind image quality assessment (BIQA) is highly desired in perceptual-oriented image processing systems, it is extremely difficult to design a reliable BIQA method. With the help of the prior knowledge, the human visual system (HVS) hierarchically
Wu, Jinjian   +4 more
core   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

open access: yesFEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta   +3 more
wiley   +1 more source

Enhanced image retrieval using spatial information and ontologies

open access: yes, 2012
New approaches are essential to improve the inference of semantic relationships from low-level features for image annotation and retrieval. Current research on image annotation sometimes represents images in terms of regions and objects, but pays little ...
Muda, Z.
core   +1 more source

Sparse representation based image interpolation with nonlocal autoregressive modeling

open access: yes, 2013
Sparse representation is proven to be a promising approach to image super-resolution, where the low-resolution (LR) image is usually modeled as the down-sampled version of its high-resolution (HR) counterpart after blurring.
Dong, W, Shi, G, Lukac, R, Zhang, L
core   +1 more source

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