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Small-molecule activator of SMUG1 enhances repair of pyrimidine lesions in DNA.
DNA Repair (Amst)
January 2025
Department of Chemistry and Stanford University, Stanford, CA 94305, United States. Electronic address:
A potentially promising approach to targeted cancer prevention in genetically at-risk populations is the pharmacological upregulation of DNA repair pathways. SMUG1 is a base excision repair enzyme that ameliorates adverse genotoxic and mutagenic effects of hydrolytic and oxidative damage to pyrimidines. Here we describe the discovery and initial cellular activity of a small-molecule activator of SMUG1.
View Article and Find Full Text PDFAdaptive weighted progressive iterative approximation based on coordinate decomposition.
PLoS One
January 2025
School of Mathematics and Finance, Hunan University of Humanities, Science and Technology, Loudi, China.
During the iterative process of the progressive iterative approximation, it is necessary to calculate the difference between the current interpolation curve and the corresponding data points, known as the adjustment vector. To achieve more precise adjustments of control points, this paper decomposes the adjustment vector into its coordinate components and introduces a weight for each component. By dynamically adjusting these weights, we can accelerate the convergence of iterations and enhance approximation accuracy.
View Article and Find Full Text PDFSynchrotron X-ray microtomography (S-µCT) is a highly valuable technique for investigating organ function and pathologies. However, its application is often limited by high radiation doses and the occurrence of ring artifacts. While S-µCT utilizing sparse-view projections can effectively decrease radiation doses, the reconstructed images frequently exhibit severe streaking artifacts, which are exacerbated by ring artifacts, ultimately compromising reconstruction accuracy, image quality, and resolution.
View Article and Find Full Text PDFThe neural networks offer iteration capability for low-density parity-check (LDPC) decoding with superior performance at transmission. However, to cope with increasing code length and rate, the complexity of the neural network increases significantly. This is due to the large amount of feature extraction required to maintain the error correction capability.
View Article and Find Full Text PDFAs a simple and widely used quantitative phase imaging (QPI) approach, the transport of intensity equation (TIE) is plagued by accuracy and applicability issues due to the limitations of conventional solution algorithms. To address these problems, we present an accurate fast QPI method using an accelerated iteration-based TIE solution. In this method, a gradient acceleration iterative solution is constructed by TIE itself.
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