Results 101 to 110 of about 18,832 (283)

GCN and AMON

, 2011
"I will given an overview of the GCN system functions, capabilities, current & future notice types). Then a description of how GCN can interact with AMON; provide correlative trigger information to be used with the IceCube Neutrino detector (and others),
Barthelmy, Scott
core  

Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs

, 2022
The emerging Graph Convolutional Network (GCN) has now been widely used in many domains, and it is challenging to improve the efficiencies of applications by accelerating the GCN trainings. For the sparsity nature and exploding scales of input real-world
Yang, Ci, Xu, Shaoxian, Shao, Zhiyuan, Liao, Xiaofei, Jin, Hai   +4 more
core   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

Dietary Baicalin Supplementation Can Enhance the Growth Performance of Weaned Piglets and Maintain the Intestinal Barrier Integrity

Animal Research and One Health, EarlyView.
This research innovatively illustrates baicalin’s multifaceted mechanisms in enhancing piglets’ intestinal health: modulating bile acid metabolism via probiotics, reinforcing tight junction proteins (ZO‐1/claudin), suppressing TLR4/NF‐κB‐mediated inflammation, whereas promoting growth and reducing diarrhea.
Yuhui Gao, Jie Liu, Rui Yang, Xizhen Fan, Cheng Liang, Xin'e Shi, Jianjun Jin   +6 more
wiley   +1 more source

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

Anatomical Sciences Education, EarlyView.
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko, Volodymyr Mavrych, Olena Bolgova, Fathima Raahima Riyas Mohamed, Jennifer Westrick, Lorena Juarez, Emily Rush, Kathryn A. Solka, Alison F. Doubleday, Jessica N. Byram, Robert Becker, Victoria Gomez, Brenda K. Anak Ganeng, Leslie A. Hoffman, Victoria A. Roach, Kirsten M. Brown, Nicole DeVaul, Colleen N. Garnett, Hannah L. Herriott, Rebecca S. Lufler, Jason C. Mussell, Joy Y. Balta, Michael A. Pascoe, Jason W. Middleton, Sharon Duffy, Georgina C. Stephens, Adam B. Wilson   +26 more
wiley   +1 more source

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

, 2021
Shared-account Cross-domain Sequential Recommendation (SCSR) is the task of recommending the next item based on a sequence of recorded user behaviors, where multiple users share a single account, and their behaviours are available in multiple domains ...
Tong Chen, Tang, Li, Quoc Viet Hung Nguyen, Li Tang, Nguyen, Quoc Viet Hung, Guo, Lei, Yin, Hongzhi, Lei Guo, Hongzhi Yin, Lei Zhu, Chen, Tong   +10 more
core   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

A novel S-scheme heterojunction photocatalyst, Yb6Te5O19.2/g-C3N4: synthesis, characterization, photocatalytic activity, and mechanism

Scientific Reports
The increasing reliance on fossil fuels has led to a surge in atmospheric CO₂, intensifying global warming, whereas water contamination by organic pollutants presents another pressing global issue.
Chiing-Chang Chen, Chao-Wei Chen, Janah Shaya, Shuo-Yi Zhang, Yu-Yun Lin, Fu-Yu Liu, Jia-Hao Lin, Chung-Shin Lu   +7 more
doaj   +1 more source

EGFR gene copy number as a predictive biomarker for the treatment of metastatic colorectal cancer with anti-EGFR monoclonal antibodies: a meta-analysis

Journal of Hematology & Oncology, 2012
Background Epidermal growth factor receptor gene copy number (EGFR GCN) has been heavily investigated as a potential predictive biomarker for the treatment of metastatic colorectal cancer (mCRC) with anti-EGFR monoclonal antibodies (MAbs).
Yang Zu-Yao, Shen Wei-Xi, Hu Xue-Feng, Zheng Da-Yong, Wu Xin-Yin, Huang Ya-Fang, Chen Jin-Zhang, Mao Chen, Tang Jin-Ling   +8 more
doaj   +1 more source