Results 71 to 80 of about 5,433,596 (264)

Relationship extraction between entities with long distance dependencies and noise based on semantic and syntactic features

Scientific Reports
Relation extraction plays a crucial role in tasks such as text processing and knowledge graph construction. However, existing extraction algorithms struggle to maintain accuracy when dealing with long-distance dependencies between entities and noise ...
Lei Wang, Fei Wu, Xiaoqing Liu, Jilong Cao, Mingwei Ma, Zhaoyang Qu   +5 more
doaj   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

Arthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale, Nuria E. J. Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

Homophily-aware multi-view graph clustering via multi-order filtering

Complex & Intelligent Systems
Multi-view graph clustering (MGC) aims to uncover latent semantic structures by integrating complementary information from multiple graph views. However, real-world multi-view graphs often exhibit noisy and inconsistent topologies, along with fixed-order
Runhua Hu, Xiaohua Ke, Yiming Liang
doaj   +1 more source

Hybrid Invariant Latent Feature Graph Transformer for Skeleton-Based Human Action Recognition

Information
Skeleton-based human action recognition is an important problem in applied vision systems, yet many existing approaches depend on a single skeleton descriptor or a single feature-learning mechanism. This restriction can weaken the representation of local
Kabul Khudaybergenov, Avazjon Marakhimov
doaj   +1 more source

Complementary l1-graphs [PDF]

, 1998
We classify pairs of complementary graphs on υ ⩾ 22 vertices, that are both l1 ...
Shpectorov, S., S. Shpectorov
core   +1 more source

The Development of Rheumatoid Arthritis–Specific Ambulatory Care–Sensitive Conditions: Results of a Consensus Process

Arthritis Care &Research, EarlyView.
Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin, Candace H. Feldman, Claire E. H. Barber, Gabriel Fabreau, Jake Jennings, Scott Patten, Cheryl Barnabe, Inflammatory Arthritis‐Specific ACSC Consensus Process Working Group   +7 more
wiley   +1 more source

Self-Complementary Arc-Transitive Graphs and Their Imposters [PDF]

, 2009
This thesis explores two infinite families of self-complementary arc-transitive graphs: the familiar Paley graphs and the newly discovered Peisert graphs.
Mullin, Natalie Ellen
core  

All Self-Complementary Symmetric Graphs

Journal of Algebra, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Mapping the Social Network Structure and Composition of Black Individuals With Rheumatic and Musculoskeletal Conditions

Arthritis Care &Research, EarlyView.
Objective Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi, Amar Dhand, Leah Santacroce, Neil Pillai, Komel Safdar, Mia T. Chandler, Ariel Childs, Monica Crespo‐Bosque, Gina Curry, Mary Dollear, Alice Eggleston, Daniel Erickson, Dieufort Fleurissaint, Denice Garrett, Gail Granville, Tyler Green, Magdalena Hamielec, Elena Losina, Karen Mancera‐Cuevas, Mary Ann Nelson, Chisa Nosamiefan, Bisola Ojikutu, Tonya S. Roberson, Mary Beth Son, Marie Jacques Toussaint, Michael York, Rosalind Ramsey‐Goldman, Candace H. Feldman   +27 more
wiley   +1 more source

Intelligent pipeline defect detection method based on interactive learning of multi-representation images

You-qi chuyun
ObjectiveLong-distance pipelines, which face potential hazards such as cracking and corrosion due to illegal branch taps (oil theft) and prolonged service, require online safety monitoring with enhanced automatic defect analysis capabilities.
Kuan FU, Haozhe CHENG, Pengchao CHEN, Ya'nan WANG, Jianfeng ZHENG, Tao MA, Jinyao DUAN, Rui LI   +7 more
doaj   +1 more source