Results 121 to 130 of about 746,734 (318)

His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models

Advanced Science, EarlyView.
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, Tianqi Su, Bin Zhang, Wenkai Han, Sibin Zhang, Guiyin Sun, Yuwei Cong, Xin Chen, Jiping Qi, Yujie Wang, Shiguang Zhao, Hongxue Meng, Peng Liang, Xin Gao   +13 more
wiley   +1 more source

With a little help from your Crossref friends: Better metadata

, 2022
Jennifer Kemp
openalex   +1 more source

Single‐Cell Mitochondrial Lineage Tracing Decodes Fate Decision and Spatial Clonal Architecture in Human Hematopoietic Organoids

Advanced Science, EarlyView.
This study repurposes mitochondrial DNA mutations as endogenous barcodes for lineage tracing in human pluripotent stem cell‐derived organoids. Integrated with transcriptomic and spatial data, it reveals NOTCH‐mediated stromal‐progenitor crosstalk orchestrates clonal dynamics and spatial zonation during early hematopoietic development, offering a non ...
Yan Xue, Junhao Su, Yiming Chao, Lu Liu, Xinyi Lin, Yang Xiang, Mun Kay Ho, Zezhuo Su, Junyi Chen, Zhuojuan Luo, Chengqi Lin, Ruibang Luo, Theo Aurich, Jianfeng Wu, Kelvin Sin Chi Cheung, Yuanhua Huang, Joshua W. K. Ho, Ryohichi Sugimura   +17 more
wiley   +1 more source

Creating structure from disorder: using folksonomies to create semantic metadata

, 2007
This paper reports on an on-going research project to create educational semantic metadata out of folksonomies. The paper describes a simple scenario for the usage of the generated semantic metadata in teaching, and describes the ‘FolksAnnotation’ tool ...
Al-Khalifa, Hend S., Davis, Hugh C., Gilbert, Lester   +2 more
core  

A tool for metadata analysis [PDF]

, 2008
We describe a Web-based metadata quality tool that provides statistical descriptions and visualisations of Dublin Core metadata harvested via the OAI protocol.
Bainbridge, David, Chan, Chu-Hsiang, McKay, Dana, Nichols, David M., Twidale, Michael B.   +4 more
core   +1 more source

A Shear Thickening Colloidal Suspension Functioning via Progressive Impact Jamming with Persistent Lubrication Layer

Advanced Science, EarlyView.
An ionic liquid‐based shear‐thickening fluid (ILSTF) exhibits lubricated dynamics from strong shear thickening to impact‐triggered jamming. A persistent nanometric solvation layer around silica governs both the shear thickening saturation in rheology and jamming front propagation under dynamic impact compression.
Yiran Wu, Yifeng Yu, Yiqiu Zhao, Qin Xu, T. X. Yu, Xin Zhang, Jinglei Yang   +6 more
wiley   +1 more source

Endothelial PDGF Signaling Dysregulation Impairs Testicular Interstitial Homeostasis in Diabetes

Advanced Science, EarlyView.
Testicular endothelial cells (TECs) function as central signaling hubs that coordinate interstitial homeostasis. Diabetes disrupts TEC‐derived PDGF signaling, silences the JUND‐MCL1 survival program in Leydig cells, and impairs peritubular function, leading to fibrosis and testosterone insufficiency.
Wenxiu Zhang, Kai Hong, Yanling Tang, Lina Cui, Xiaojian Lu, Jianxing Cheng, Yangyi Fang, Qiaoling Jiang, Ziyan Zhuang, Songzhan Gao, Hui Jiang, Qiang Liu, Jingtao Guo, Zhe Zhang, Xiaoyan Wang   +14 more
wiley   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

Advanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin, Jovanne Palvair, Lennie Messager, Jamal Bamoulid, Jasper Callemeyn, Mélanie Chaintreuil, Ludivine Dal Zuffo, Didier Ducloux, Imane Farhat, Mathieu Legendre, Laurent Martin, Florian Renosi, Xavier Roussel, Thibaut Vaulet, Maarten Naesens, Claire Tinel, Baptiste Lamarthée   +16 more
wiley   +1 more source

Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels [PDF]

, 2021
Xiaoyi Zhang, Lilian de Greef, Amanda Swearngin, Samuel White, Kyle I. Murray, Lisa Yu, Qi Shan, Jeffrey Nichols, Jason Wu, Chris Fleizach, Aaron Everitt, Jeffrey P. Bigham   +11 more
openalex   +1 more source