Results 61 to 70 of about 75,494 (258)

Claustrum Involvement in New Onset Refractory Status Epilepticus: A Systematic Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The claustrum sign is a distinctive neuroimaging finding characterized by bilateral T2/FLAIR hyperintensity of the claustrum, one of the most interconnected regions of the human brain. It was first described in new‐onset refractory status epilepticus (NORSE) and febrile infection–related epilepsy syndrome (FIRES).
Margherita Burani, Lorenzo Muccioli, Giada Giovannini, Niccolò Orlandi, Francesca Bisulli, Stefano Meletti   +5 more
wiley   +1 more source

Joint Extraction of Hazard Source Knowledge in Integrated Utility Corridor Based on Knowledge Graph

IEEE Access
The current knowledge graph-based joint extraction method for hazard source identification in integrated utility tunnels has been applied to emergency response management, assisting personnel in making rapid and accurate decisions.
Shanshan Wan, Houchen Lv, Yuhan Zhu, Yiran Zhao   +3 more
doaj   +1 more source

Safety of Prescription Nonsteroidal Anti‐inflammatory Drugs in Adults With Inflammatory Bowel Disease: Data From a Large Administrative Claims Cohort

Arthritis Care &Research, EarlyView.
Objective The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in those with IBD, but safety data are mixed. Methods This retrospective cohort study included patients with IBD aged at least 18 years from Optum's deidentified ...
Adam S. Mayer, Rui Xiao, Meenakshi Bewtra, Michael D. George, Pamela F. Weiss   +4 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A multi-layer deep learning framework for joint extraction of geological disaster entities and relations

Geomatics, Natural Hazards & Risk
The extraction of geological disaster entities and relations is a pivotal technology in the construction of a geological disaster knowledge graph. This is significant for enhancing disaster response efficiency and fortifying disaster management. Existing
Yijiang Zhao, Qiuwu Li, Yizhi Liu, Dongyang Hou, Zhuhua Liao   +4 more
doaj   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

The entity-relationship model [PDF]

Proceedings of the 1st International Conference on Very Large Data Bases - VLDB '75, 1975
A data model, called the entity-relationship model, is proposed. This model incorporates some of the important semantic information about the real world. A special diagrammatic technique is introduced as a tool for database design. An example of database design and description using the model and the diagrammatic technique is given.
openaire   +3 more sources

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Chinese Geological Entity Relation Extraction Based on RoBERTa and Weighted Graph Convolutional Networks [PDF]

Jisuanji kexue
Knowledge is the cornerstone of big data and artificial intelligence.Knowledge graphs offer interpretability and sca-lability advantages,making them crucial in intelligent systems.Intelligent decision has urgent application demand in various fields ...
ZHANG Lu, DUAN Youxiang, LIU Juan, LU Yuxi
doaj   +1 more source