Results 131 to 140 of about 118,476 (365)

Multi‐Enzyme Mimetic Molybdenum Nitride Nanozymes Reshape Subgingival Microenvironment for Synergistic Periodontitis Therapy via ROS Regulation and Microbiome Remodeling

open access: yesAdvanced Science, EarlyView.
ABSTRACT Periodontitis, a chronic inflammatory disease initiated and sustained by plaque microorganisms and host immune response, remains an intractable oral disease and a leading cause of tooth loss worldwide. Traditional mechanical debridement and adjunctive antibiotic or antiseptic therapy often shows limited efficacy due to the complex anatomical ...
Weiyu Zhang   +12 more
wiley   +1 more source

Back to Basics: Let Denoising Generative Models Denoise

open access: yesCoRR
Today's denoising diffusion models do not "denoise" in the classical sense, i.e., they do not directly predict clean images. Rather, the neural networks predict noise or a noised quantity. In this paper, we suggest that predicting clean data and predicting noised quantities are fundamentally different. According to the manifold assumption, natural data
Tianhong Li, Kaiming He
openaire   +2 more sources

Gut Lactate Boosts Ruminococcus via Histone Lactylation to Mediate Time‐Restricted Feeding Protection in Crohn's Disease

open access: yesAdvanced Science, EarlyView.
TRF enriches Ruminococcus, a bacterial genus producing SCFAs, and activates the epithelial HIF‐1α signaling pathway. This mechanism protects the colonic mucosa from inflammatory insults in colitis models. Mechanistically, gut lactate production during starvation and refeeding mediates H4K12la, which increases SLC9A3 expression and creates an acidic gut
Linwen Huang   +17 more
wiley   +1 more source

Image denoising feedback framework using split Bregman approach

open access: yes, 2017
In this paper, an image denoising feedback framework is proposed for both color and range images. The proposed method works on an error minimization principle using split Bregman method.
김정헌, 최광남, Farhan Akram
core  

Supervised and Unsupervised Subband Adaptive Denoising Frameworks with Polynomial Threshold Function [PDF]

open access: yes, 2017
Unlike inflexible structure of soft and hard threshold function, a unified linear matrix form with flexible structure for threshold function is proposed.
Tierui Gong   +7 more
core   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

Directional edge and texture representations for image processing [PDF]

open access: yes, 2007
An efficient representation for natural images is of fundamental importance in image processing and analysis. The commonly used separable transforms such as wavelets axe not best suited for images due to their inability to exploit directional ...
Yao, Zhen
core  

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

open access: yesAdvanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang   +11 more
wiley   +1 more source

Random noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections [PDF]

open access: yes, 2005
The empirical origin of random noise is described, its influence on DTI variables is illustrated by a review of numerical and in vivo studies supplemented by new simulations investigating high noise levels.
Hahn, K.R.   +14 more
core   +1 more source

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