Results 101 to 110 of about 9,013,010 (294)
Single‐cell profiling and functional perturbation reveal coordinated JAK1‐pSTAT3 downstream programs in optic neuritis, including MCL1‐dependent fitness of pathogenic CD4+ Tem cells and glycolysis‐linked, cholesterol‐sensitive B‐cell responses associated with RORA. Upadacitinib disrupts this reciprocal T‐B‐cell circuit and alleviates neuroinflammation,
Gengchen Jiang +12 more
wiley +1 more source
Coexisting DCIS and IDC samples are profiled using spatial transcriptomics, single‐cell RNA sequencing, and single‐cell DNA sequencing. Integrative multi‐omics analysis reveals distinct malignant epithelial and microenvironmental features between DCIS and IDC, which are further validated using Xenium and multiplex immunohistochemistry.
Ning Zhang +18 more
wiley +1 more source
POMA-3D: The Point Map Way to 3D Scene Understanding
In this paper, we introduce POMA-3D, the first self-supervised 3D representation model learned from point maps. Point maps encode explicit 3D coordinates on a structured 2D grid, preserving global 3D geometry while remaining compatible with the input format of 2D foundation models.
Ye Mao +4 more
openaire +2 more sources
This study generates the single‐cell atlas of pathogenic B‐cell subset Bc‐5 in ITP. It identifies RUNX3 as a key survival regulator and uncovers sphingolipid‐driven metabolic reprogramming, validating UGCG inhibition as a therapeutic candidate and building a valuable resource for ITP mechanistic and therapeutic exploration.
Dongmei Luo +10 more
wiley +1 more source
LLM-Supervised Point Cloud Processing: From Unsupervised 3D Scene-Graph Generation to Interactive Scene Manipulation [PDF]
We demonstrate an end-to-end pipeline for 3D scene understanding which integrates unsupervised graph-based point cloud segmentation with LLM-enabled spatial reasoning and editing.
F. Poux, F. Poux, A. Key
doaj +1 more source
VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation
Accepted and presented at the 1st Workshop on Semantic Reasoning and Goal Understanding in Robotics (SemRob), Robotics Science and Systems Conference (RSS 2024)
Haochen Zhang 0001 +5 more
openaire +2 more sources
An Expertise Transfer Framework For Autonomous Surgical Assistance
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source
In recent years, the application of real scene 3D technology has become widespread in urban planning and cultural heritage protection. However, there has been relatively little attention paid to the construction of real scene 3D models for special ...
Congyuan Zhang +4 more
doaj +1 more source
SceneReasoner: Decoupled Spatial Tokenization for Indoor Large-Scene Understanding with LLMs [PDF]
Most existing 3D vision-language models focus on object-level or single-room understanding and perform poorly in large-scale, multi-room indoor environments where task-relevant objects constitute only a small fraction of the total point cloud. When multi-
B. Shi +6 more
doaj +1 more source
Embodied intelligence for 3D understanding: A survey on 3D Scene question answering
3D Scene Question Answering (3D SQA) represents an interdisciplinary task that integrates 3D visual perception and natural language processing, empowering intelligent agents to comprehend and interact with complex 3D environments. Recent advances in large multimodal modelling have driven the creation of diverse datasets and spurred the development of ...
Zechuan Li +5 more
openaire +2 more sources

