Results 111 to 120 of about 15,549,974 (248)

Elimination of Irregular Boundaries and Seams for UAV Image Stitching with a Diffusion Model

Remote Sensing
Unmanned aerial vehicle (UAV) image stitching refers to the process of combining multiple UAV images into a single large-format, wide-field image, and the stitched image often contains large irregular boundaries and multiple stitching seams.
Jun Chen, Yongxi Luo, Jie Wang, Honghua Tang, Yixian Tang, Jianhui Li   +5 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

A Training-Free Latent Diffusion Style Transfer Method

Information
Diffusion models have attracted considerable scholarly interest for their outstanding performance in generative tasks. However, current style transfer techniques based on diffusion models still rely on fine-tuning during the inference phase to optimize ...
Zhengtao Xiang, Xing Wan, Libo Xu, Xin Yu, Yuhan Mao   +4 more
doaj   +1 more source

The multifaceted roles of lysosomes in cancer

Molecular Oncology, EarlyView.
Lysosomes support cancer cell adaptation by integrating macromolecule degradation and nutrient recycling with nutrient sensing, inter‐organelle communication and immune regulation. These interconnected functions can promote tumour growth, stress tolerance and therapy resistance, while also creating context‐dependent vulnerabilities that may be ...
Jia Li, Kevin M. Ryan
wiley   +1 more source

Protein A-like Peptide Design Based on Diffusion and ESM2 Models

Molecules
Proteins are the foundation of life, and designing functional proteins remains a key challenge in biotechnology. Before the development of AlphaFold2, the focus of design was primarily on structure-centric approaches such as using the well-known open ...
Long Zhao, Qiang He, Huijia Song, Tianqian Zhou, An Luo, Zhenguo Wen, Teng Wang, Xiaozhu Lin   +7 more
doaj   +1 more source

Modeling Mental Speed: Decomposing Response Time Distributions in Elementary Cognitive Tasks and Correlations with Working Memory Capacity and Fluid Intelligence

Journal of Intelligence, 2016
Previous research has shown an inverse relation between response times in elementary cognitive tasks and intelligence, but findings are inconsistent as to which is the most informative score.
Florian Schmitz, Oliver Wilhelm
doaj   +1 more source

Spiking Diffusion Models

IEEE Transactions on Artificial Intelligence
Recent years have witnessed Spiking Neural Networks (SNNs) gaining attention for their ultra-low energy consumption and high biological plausibility compared with traditional Artificial Neural Networks (ANNs). Despite their distinguished properties, the application of SNNs in the computationally intensive field of image generation is still under ...
Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng 0015, Qiang Zhang 0029, Renjing Xu   +6 more
openaire   +3 more sources

An outer membrane vesicle‐associated two‐track model for enterotoxigenic Bacteroides fragilis oncogenesis

Molecular Oncology, EarlyView.
Enterotoxigenic Bacteroides fragilis is a gut bacterium linked to bowel cancer. We propose that its toxin acts along two routes: at the cell surface, cutting the adhesion protein E‐cadherin and triggering inflammation; and inside the cell, delivered by bacterial vesicles, switching on NOD1 and cancer stem cell programs.
Kangchan Choi, Sang‐Hyeon Yoo, Ki‐Jong Rhee   +2 more
wiley   +1 more source

Enhancing Global Model Performance in Federated Learning With Non-IID Data Using a Data-Free Generative Diffusion Model

IEEE Access
Federated Learning (FL) presents a decentralized approach to machine learning, allowing multiple clients to jointly train neural networks while maintaining the privacy of their local data.
Mohammadreza Najafi, Masoud Daneshtalab, Jeong-A Lee, Ghazal Saadloonia, Seokjoo Shin   +4 more
doaj   +1 more source

Bellman Diffusion Models

CoRR
Diffusion models have seen tremendous success as generative architectures. Recently, they have been shown to be effective at modelling policies for offline reinforcement learning and imitation learning. We explore using diffusion as a model class for the successor state measure (SSM) of a policy.
Liam Schramm, Abdeslam Boularias
openaire   +2 more sources