Results 41 to 50 of about 10,225,814 (293)
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
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 +5 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
This research is motivated by the problems faced by students in learning Arabic vocabulary with a distance learning system, namely the lack of students' ability to master vocabulary and the lack of application of appropriate learning strategies in ...
Erta Mahyudin, Dewi Afifah Alihsan
doaj
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
Enhancing autonomous learning in vocabulary learning strategies: a structural equation modeling analysis [PDF]
This study explores the relationship between autonomous learning and vocabulary learning strategies (VLS), emphasising its importance in enhancing language acquisition. There is a scarcity of empirical data confirming the influence of autonomous learning
Md Azmi, Nur Afiqah +3 more
core +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Vocabulary learning strategy domain has been one of the areas of research in the language learning strategy field. Bilinguals use different language and vocabulary learning strategies than monolinguals (Hong-Nam & Leavell, 2007; Jessner, 1999).
Karacan Cemil Gökhan, Dikilitaş Kenan
doaj +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
A growing body of vocabulary learning strategies (VLSs) studies focuses on accumulating empirical evidence on the relationship between frequency of VLS use and vocabulary acquisition by using the frequency-based measures of VLSs.
Shotaro Ueno, Osamu Takeuchi
doaj +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source

