Results 31 to 40 of about 1,819 (215)
Afghan refugees are considered the largest refugee population, living across borders in countries like Pakistan, Iran, the United Kingdom, European Union countries, the United States, Canada, Gulf countries, and India.
Saqlain Hassan
doaj
The article explores Sinophobic discourses during the COVID-19 pandemic, focusing specifically on violence-related metaphors used to frame China in American and Australian newspapers from January to June 2020.
Ilaria Iori
doaj +1 more source
What Do Large Language Models Know About Materials?
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
This study conducts a corpus-assisted discourse analysis of the interdiscursive construction of posthumous identity in public mourning discourse surrounding the death of Qiong Yao on China’s social media platform, Weibo.
Han Li PhD, Ming Liu PhD
doaj +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 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
Hashtags as Digital Mobilisation: A Corpus-Assisted Discourse Analysis of #IndonesiaGelap
Protest discourse has become a fruitful source of data for critical studies, as reflected in the Indonesian socio-political landscape in early 2025.
Novi Eka Susilowati +2 more
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
Civilian suffering: A corpus-assisted discourse analysis of Al Jazeera’s reporting
Background: The Russia-Ukraine conflict has generated an extensive humanitarian crisis in which media representations play a crucial role in shaping global perceptions of civilian suffering.
Siti Nur Amalia +2 more
doaj +1 more source
What kills us and what moves us: A comparative discourse analysis of heart disease and breast cancer
Introduction Heart disease kills nearly 300,000 US women annually, while approximately 40,000 US women die of breast cancer. Breast cancer online patient communities are well known for their high engagement and emotional support.
Claire E O’Hanlon
doaj +1 more source

