Results 251 to 260 of about 200,168 (344)

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

Wild reindeer in the USSR, their protection and utilization

Rangifer, 1986
Vladimir Ye. Razmakhnin
doaj   +1 more source

Human and Hunting Dog Interactions in the United States: Exploring Potential Transmission Pathways of Zoonotic Diseases and Highly Pathogenic Avian Influenza Virus. [PDF]

Vet Sci
Ziejka RS, Brown JD, Thompson-Iritani S, Ramirez V, Fenelon HT, Baker MG.   +5 more
europepmc   +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

Relative abundance of Osteolaemus tetraspis in Uwa, Edumanom and Ogbe-Ijaw bushmeat markets in the Niger Delta region, Nigeria. [PDF]

BMC Zool
Ogorode IO, Ito EE, Oriakpono OE, Vincent-Akpu IF, Babatunde BB, Sikoki FD.   +5 more
europepmc   +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

Escape response and perch-site choice in shrikes: effects of human disturbance in Europe and Southeast Asia. [PDF]

PeerJ
Kasprzykowski Z, Goławski A, Mitrus C, Xayyasith S, Obłoza P.   +4 more
europepmc   +1 more source

Web application for virtual try-on of hunting clothing using generative artificial intelligence

Maj Udovč
openalex   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Sporadic Creutzfeldt-Jakob disease following venison exposure in a chronic wasting disease-endemic region: a zoonotic surveillance perspective. [PDF]

Front Public Health
Kotkowski E, Trout J, Roberts M, Tabet M, Jackson C, Horn S.   +5 more
europepmc   +1 more source