Results 71 to 80 of about 90,374 (275)

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, EarlyView.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source

Multi‐Omics Integration Identifies a CDH3‐Associated Malignant Epithelial State and Immunosuppressive Niche to Predict Prognosis in Thymic Epithelial Tumors

Advanced Science, EarlyView.
Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng, Jingyu Chen, Lang Xia, Tao Wang, Yuzhou Wang, Lei Zhang, Guofang Zhao, Long Xu, Juemin Yu, Yunlang She, Junqi Wu, Yue Zhao, Chang Chen, Deping Zhao   +13 more
wiley   +1 more source

From Building Deliverables to Open Scene Description: A Pipeline for Lifecycle 3D Interoperability

Buildings
Industrial deliverables in the AEC/FM sector are increasingly specified, validated, and governed by open standards. However, the machine-readable delivery specifications rarely propagate intact into the real-time collaborative 3D scene descriptions ...
Guoqian Ren, Chengzheng Huang, Tengxiang Su   +2 more
doaj   +1 more source

LGFormer: Lightweight Local-Global Transformer for Indoor Point Cloud Segmentation [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Semantic segmentation of indoor point clouds is a fundamental task in 3D scene understanding, supporting applications such as virtual reality, indoor navigation, and building management.
Y. Zhang, F. Li, Y. Liu, P. Wang, Y. Chen, B. Xiong   +5 more
doaj   +1 more source

Asymmetric Evolution of Antennal Cell Types Underlies a Derived Ammonia‐Sensing Logic for Ecological Adaptation in Bactrocera dorsalis

Advanced Science, EarlyView.
Comparative antennal single‐nucleus transcriptomics reveals cell‐type‐dependent transcriptomic divergence in Bactrocera dorsalis, with similar structural cells but divergent sensory neurons. This neuronal diversification is associated with a distinct ammonia‐sensing pathway, linking female attraction to bird‐dropping‐associated cues with nutritional ...
Wei Liu, Shuai Zhang, Jie Zhang, Zhen Tian, Yuanbo Xue, Ling Yang, Jun Xu, Guirong Wang   +7 more
wiley   +1 more source

Fusion Prototypical Network for 3D Scene Graph Prediction

Computer Modeling in Engineering & Sciences
: Scene graph prediction has emerged as a critical task in computer vision, focusing on transforming complex visual scenes into structured representations by identifying objects, their attributes, and the relationships among them.
Jiho Bae, Bogyu Choi, Sumin Yeon, Suwon Lee   +3 more
semanticscholar   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Integration of Image Data for Refining Building Boundaries Derived from Point Clouds [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
Geometrically and topologically correct 3D building models are required to satisfy with new demands such as 3D cadastre, map updating, and decision making.
S. N. Perera, N. Hetti Arachchige, D. Schneider   +2 more
doaj   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source