Results 121 to 130 of about 1,198,201 (307)
STRUCTURAL-SEMANTIC ANALYSIS OF THE SCIENTIFIC TEXT
Актуальные проблемы теоретической и клинической медицины, 2022 This article presents the experience of teaching first-year students of the kazakh branch of the Kazakh-Russian Medical University the structural-semantic analysis of the scientific text.
Пю Ью Chumbalova
doaj
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Text revision in Scientific Writing Assistance: An Overview
, 2023 Writing a scientific article is a challenging task as it is a highly codified genre. Good writing skills are essential to properly convey ideas and results of research work. Since the majority of scientific articles are currently written in English, this
Boudin, Florian +3 more
core
Corpus Based Machine Translation for Scientific Text
, 2018 Part 4: ConstraintsInternational audienceFrom many years, machine translation and computational linguistic research community has given immense attention towards the development of machine translation techniques.
Ghulam Rasool Tahir +7 more
core +2 more sources
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 +2 more
wiley +1 more source
Effects of Scientific Text Format on Scientific Text Learning
Journal of Curriculum and Evaluation, 1998 Seon- Mo Moon, Byung- Ho Park
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This study explored how effective nickel aluminide coatings are obtained in providing oxidation resistance applied to the Inconel 738 alloy, modeling with diffusion models. In the present study, kinetics and thermal behavior of the Inconel 738 alloy were studied by the low‐temperature thermoreactive aluminizing process, which was carried out at 625°C ...
Gozde Celebi Efe +4 more
wiley +1 more source
Assigning scientific texts to existing ontologies
Annals of Computer Science and Information SystemsHumans try to help computers understand the properties of the real world, and ontologies can be used for this task. Scientists publish their research in papers, and their results should be used to improve existing ontologies to be up-to-date. Manual enhancement of ontologies is highly time-consuming for domain experts. This paper proposes a solution to
Lukáš Korel, Martin Holeňa
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source