Results 231 to 240 of about 76,821 (307)
Research on reliability mapping of 5G low orbit constellation network slice based on deep reinforcement learning. [PDF]
Xiao Y +5 more
europepmc +1 more source
His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li +13 more
wiley +1 more source
Enhancing service availability and resource deployment in IoT using a shared service replication method. [PDF]
Kaaniche K +5 more
europepmc +1 more source
Abstract Building upon the integrative framework of tendinopathy proposed by Gehwolf et al.—which elegantly connects mechanical stress, inflammation, and vascularity—this commentary extends the discussion by introducing novel mechanistic insights and future research directions that move beyond the established triad. A paradigm shift is proposed ...
DuJiang Yang +3 more
wiley +1 more source
SharpCEEWPServer: A Lightweight Server for the Communication Protocol of China Earthquake Early Warning Systems. [PDF]
Li L +5 more
europepmc +1 more source
Cytoplasmic RNF32 fuels CRC liver metastasis by degrading GSK3β, which stabilizes β‐catenin and activates Wnt/EMT. Moreover, RNF32 rewires the metastatic niche: it depletes CD8+/CD4+ T and NK cells while recruiting SPP1+ macrophages (which boost tumor stemness via CD44), fibroblasts, and immunosuppressive monocytes to aid colonization.
Hongyu Wang +12 more
wiley +1 more source
Fault classification in the architecture of virtual machine using deep learning. [PDF]
Rawat A +4 more
europepmc +1 more source
ABSTRACT This special issue marking the University of Bath's 60th anniversary offers an opportunity to reflect on nearly a decade of research into the evolution of gene regulatory networks (GRNs) from members of the lab and elsewhere. Our goal is to understand how GRNs rewire and how new transcription factor (TF) functions evolve. Using an experimental
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source

