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Denoising complex-valued diffusion MR images using a two-step, nonlocal principal component analysis approach.

Magn Reson Med

March 2025

Center for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota, Minneapolis, Minnesota, USA.

Purpose: To propose a two-step, nonlocal principal component analysis (PCA) method and demonstrate its utility for denoising complex diffusion MR images with a few diffusion directions.

Methods: A two-step denoising pipeline was implemented to ensure accurate patch selection even with high noise levels and was coupled with data preprocessing for g-factor normalization and phase stabilization before data denoising with a nonlocal PCA algorithm. At the heart of our proposed pipeline was the use of a data-driven optimal shrinkage algorithm to manipulate the singular values in a way that would optimally estimate the noise-free signal.

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Early and precise diagnosis of cancer is pivotal for effective therapeutic intervention. Traditional diagnostic methods, despite their reliability, often face limitations such as invasiveness, high costs, labor-intensive procedures, extended processing times, and reduced sensitivity for early-stage detection. Electrochemical biosensing is a revolutionary method that provides rapid, cost-effective, and highly sensitive detection of cancer biomarkers.

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Neuron-derived clone 77 (Nur77), a member of the orphan nuclear receptor family, is expressed and activated rapidly in response to diverse physiological and pathological stimuli. It exerts complex biological functions, including roles in the nervous system, genome integrity, cell differentiation, homeostasis, oxidative stress, autophagy, aging, and infection. Recent studies suggest that Nur77 agonists alleviate symptoms of neurodegenerative diseases, highlighting its potential as a therapeutic target in such conditions.

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Objective: The study investigated effects of peony callus extracts (PCE) on the protective efficacy against Ultraviolet B (UVB)-induced photoageing, using in vitro and in vivo studies. The research focused on PCE's ability to protect against inflammatory factors, DNA damage and accumulation of senescent cells, along with the evaluation of the extract's potential anti-photoageing benefits to skin.

Methods: Human keratinocyte cell line (HaCaT cells), mast cells and fibroblasts were used to evaluate the role of PCE in anti-photoageing.

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This research paper presents the characterization of an enterocin-producing MF5 isolate and the determination of the in vitro antilisterial activity of enterocin produced by this isolate, named Ent-MF5. PCR-based screening for bacteriocin biosynthetic genes revealed that MF5 harbors multiple enterocin-encoding genes ( A, B, P and X), classified as class II bacteriocins and enterocin-P of (sharing up to 99% similarity at the genetic level). MF5 is sensitive to eight clinically important antibiotics and does not possess cytolysin activator -A, gelatinase -E and hyaluronidase -lA virulence genes.

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