Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

An efficient analysis pipeline, integrating topic modeling with large language model (LLM) summarizing and human verification, was applied to identify the discussion topics. Results: We analyzed 1765 ...

Social engagement in environmental issues has significantly increased with the rise of social media, which plays a critical role in shaping public perception of climate change. This study examines the ...

Nearly five years ago, when Taiwan’s National Development Council (NDC) announced that the uniform identification numbers (UINs) printed on foreign nationals’ Alien Resident Certificates (ARCs) would ...

Results: Coherence scores indicated an optimal topic solution of k=40 (coherence=0.58) for English and k=30 (coherence=0.52) for Spanish. Thematically, we observed similar content in both languages, ...

An investigation into what appeared at first glance to be a “standard” Python-based infostealer campaign took an interesting turn when it was discovered to culminate in the deployment of a ...

Abstract: This study compares the performance of two topic modeling techniques, Latent Dirichlet Allocation (LDA) and BERTopic, in analyzing short, unstructured traffic complaint texts from Twitter.

Aim: To examine the factors influencing physical activity among community-dwelling older adults with type 2 diabetes in China, and to provide a strong theoretical framework and empirical support for ...

Model better prevent discussion of politically sensitive topics Model trained using 1,000 of Huawei's own Ascend AI chips Generative AI models in China must reflect "socialist values" BEIJING, Sept 19 ...

Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China Amid intensifying educational competition and societal expectations, academic stress has emerged as a ...