Results 101 to 110 of about 303,332 (290)

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans

Advanced Science, EarlyView.
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang, Ruifeng Li, Wenwen Yu, Anan Li, Xiangning Li, Mingchao Yan, Lei Xie, Qingrun Zeng, Xueyan Jia, Shuxin Wang, Ronghui Ju, Feng Chen, Qingming Luo, Hui Gong, Andrew Zalesky, Xiaoquan Yang, Yuanjing Feng, Zheng Wang   +17 more
wiley   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

Advanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen, Xin Wang, Haifeng Ding, Bosheng Zheng, Keni Zeng, Chuying Hu, Jiayi Liu, Xiao Zhu, Haibing Yu   +8 more
wiley   +1 more source

An implicational map of parts of speech

Linguistic Discovery, 2010
In this paper we present a two-dimensional implicational map of parts of speech. We show that this map constitutes an improvement with respect to the one-dimensional parts of speech hierarchy originally proposed in Hengeveld (1992) in terms of ...
Kees Hengeveld, Eva van Lier
doaj   +1 more source

Semantic Arithmetic Coding Using Synonymous Mappings

Entropy
Recent semantic communication methods explore effective ways to expand the communication paradigm and improve the performance of communication systems. Nonetheless, a common problem with these methods is that the essence of semantics is not explicitly pointed out and directly utilized.
Zijian Liang, Kai Niu, Jin Xu, Ping Zhang   +3 more
openaire   +4 more sources

OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis

Advanced Science, EarlyView.
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu, An Shao, Bingtao Guan, Ziyao Luo, Weiyi Lai, Xiaoling Huang, Jun Liu, Jie Yan, Huimin Li, Xiangji Pan, Jiawei Wang, Zichang Su, Yih Chung Tham, Jie Yang, Haotian Lin, Juan Ye, Hongxia Xu, Jian Wu   +17 more
wiley   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

Advanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao, Lingyin Zhang, Bingzheng Wu, Haonan Chen, Junhao Sun, Linghao Yan, Wenfei Li, Yangyang Wu, Zhifang Wang, Qigang Zhong, Lifeng Chi   +10 more
wiley   +1 more source

Semantic Label Reduction Techniques for Autonomous Driving

, 2019
Semantic segmentation maps can be used as input to models for maneuvering the controls of a car. However, not all labels may be necessary for making the control decision.
Khan, Qadeer, Schön, Torsten, Wenzel, Patrick   +2 more
core  

Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites

Advanced Science, EarlyView.
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou, Mingkun Lu, Zhimeng Zhou, Yanlin Ren, Xinyuan Yu, Ziqi Pan, Yuan Zhou, Hao Yang, Lingyan Zheng, Shukai Gu, Yang Zhang, Wei Hu, Fengcheng Li, Haibin Dai, Feng Zhu   +14 more
wiley   +1 more source

Representation of Semantic Mappings

, 2005
The aim of this breakout session was to chart the landscape of existing approaches for representing mappings between heterogeneous models, identify common ideas and formulate research questions to be addressed in the future. In the session, the discussion mainly concerned three aspects: The nature of mappings, existing proposals for mappings and ...
Stuckenschmidt, Heiner, Uschold, Michael
openaire   +3 more sources