Results 41 to 50 of about 757,960 (318)

Cloud Removal Method for Remote Sensing Images Based on SAR-Guided Conditional Diffusion Model and Style Adaptation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Cloud cover poses a major challenge to the usability of optical remote sensing images, particularly under thick clouds. This article proposes SAR-DiffCloud, a high-fidelity cloud removal framework that integrates multiband synthetic aperture radar (SAR ...
Jinsheng Chen, Xudong Tong, Yiying Sun, Zhiheng Xiao   +3 more
doaj   +1 more source

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

Multi-Scale Universal Style-Transfer Network Based on Diffusion Model

Algorithms
Artistic style transfer aims to transfer the style of an artwork to a photograph while maintaining its original overall content. Although current style-transfer methods have achieved promising results when processing photorealistic images, they often ...
Na Su, Jingtao Wang, Yun Pan
doaj   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Collaborative Causal Inference and Multi-Agent Dynamic Intervention for “Dual Carbon” Public Opinion Driven by Reinforced Large Language Models and Diffusion Models

Systems
Under the “Dual Carbon” goal, public opinion analysis is crucial for optimizing policy implementation and enhancing social consensus, yet it faces challenges such as insufficient multi-source data integration, limited causal modeling, and delayed ...
Xin Chen
doaj   +1 more source

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

FEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai, Mohyeddine Omrane, Nassima Benzoubir, Didier Samuel, Ama Gassama‐Diagne   +4 more
wiley   +1 more source

Diffusion generation with homomorphic filtering for remote sensing thin cloud removal

Geo-spatial Information Science
The existence of thin clouds within remote sensing images results in the loss of image information. The removal of thin clouds is crucial for enhancing data quality and increasing the application scope of remote sensing imagery.
Mingyang Lei, Huifang Li, Liying Xu, Huanfeng Shen   +3 more
doaj   +1 more source

The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome

FEBS Letters, EarlyView.
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley   +1 more source

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

We present Diffusion Soup, a compartmentalization method for Text-to-Image Generation that averages the weights of diffusion models trained on sharded data. By construction, our approach enables training-free continual learning and unlearning with no additional memory or inference costs, since models corresponding to data shards can be added or removed
Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto   +8 more
openaire   +2 more sources

Neurosymbolic Diffusion Models

CoRR
Accepted to NeurIPS ...
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari   +3 more
openaire   +2 more sources