Results 71 to 80 of about 7,150,154 (369)

Underwater Image Restoration via Contrastive Learning and a Real-World Dataset

Remote Sensing, 2022
Underwater image restoration is of significant importance in unveiling the underwater world. Numerous techniques and algorithms have been developed in recent decades. However, due to fundamental difficulties associated with imaging/sensing, lighting, and
Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson   +9 more
doaj   +1 more source

Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions

FEBS Letters, EarlyView.
Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf, Nicholas F. Downing, Kaitlyn M. Mills, Samuel C. Metcalfe, Alexander E. Kritzer, Lindsey D. Mayo, Peter C. Hollenhorst   +6 more
wiley   +1 more source

BLIND RESTORATION USING CONVOLUTION NEURAL NETWORK

Iraqi Journal of Information & Communication Technology, 2021
Image restoration is a branch of image processing that involves a mathematical deterioration and restoration model to restore an original image from a degraded image.
Meryem H. Muhson, Ayad A. Al-Ani
doaj   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Naive mean field approximation for image restoration

, 2002
We attempt image restoration in the framework of the Baysian inference. Recently, it has been shown that under a certain criterion the MAP (Maximum A Posterior) estimate, which corresponds to the minimization of energy, can be outperformed by the MPM ...
Bray A. J., Geiger D., Geman S., Hopfield J. J., Horiguchi T., Marroquin J., Nishimori H., Nishimori H., Pryce J. M., Ruján P., Sourlas N.   +10 more
core   +1 more source

Omni-Kernel Network for Image Restoration

AAAI Conference on Artificial Intelligence
Image restoration aims to reconstruct a high-quality image from a degraded low-quality observation. Recently, Transformer models have achieved promising performance on image restoration tasks due to their powerful ability to model long-range dependencies.
Yuning Cui, Wenqi Ren, Alois Knoll
semanticscholar   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Graph Spectral Image Processing

, 2018
Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks).
Cheung, Gene, Magli, Enrico, Ng, Michael, Tanaka, Yuichi   +3 more
core   +1 more source

Efficient Diffusion Model for Image Restoration by Residual Shifting [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence
While diffusion-based image restoration (IR) methods have achieved remarkable success, they are still limited by the low inference speed attributed to the necessity of executing hundreds or even thousands of sampling steps. Existing acceleration sampling
Zongsheng Yue, Jianyi Wang, Chen Change Loy   +2 more
semanticscholar   +1 more source

Cell density–dependent nuclear‐cytoplasmic shuttling of SETDB1 integrates with Hippo signaling to regulate YAP1‐mediated transcription

FEBS Letters, EarlyView.
At low cell density, SETDB1 and YAP1 accumulate in the nucleus. As cell density increases, the Hippo pathway is gradually activated, and SETDB1 is associated with increased YAP1 phosphorylation. At high cell density, phosphorylated YAP1 is sequestered in the cytoplasm, while SETDB1 becomes polyubiquitinated and degraded by the ubiquitin–proteasome ...
Jaemin Eom, Jaewoong Jang, Jung Sun Park, Yong‐Kook Kang   +3 more
wiley   +1 more source