Results 101 to 110 of about 249,960 (323)

INTERCULTURALITY OF MIXED-MARRIED COUPLE: A SUNDANESE MALE AND A FOREIGN FEMALE [PDF]

open access: yes, 2017
The Indonesian foreign policy of free-active makes an enormous impact in many respects. One of the impacts is a mixed-married couple of an Indonesian citizen and a citizen from various countries.
Soemantri, Ypsi Soeria
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Typological Classification of Threat and the Explicit and Implicit Forms of its Expression; Linguistic Markers of Stance

open access: yesNalans, 2019
The need to study one of the manifestations of a speech act and a form of communication is caused by the interest that has arisen in various fields, for instance, Sociology (Tedeschi, 1994), Theory of Power / Management, (Kellermann, 1996), Theory of ...
Irine Goshkheteliani, Bella Churchelauri
doaj  

Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari   +6 more
wiley   +1 more source

Parallel Multimodal Language Model: Enhanced Breast Nodule Diagnosis through Parallel Multimodal Representations and Large Language Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng   +8 more
wiley   +1 more source

AI‐Driven Predictive Design and Functionalization of Three Dimensional‐Printed PEEK Implants with Tryptophan‐Enriched Alginate Hydrogel for Enhanced Biomimetic Surface Performance

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces an AI‐guided strategy to design 3D‐printed PEEK implants functionalized with a tryptophan‐enriched alginate hydrogel (TRYALPEEK). The modification improves hydrophilicity, reduces surface roughness, enhances cytocompatibility, and optimizes stress distribution. The platform offers a promising route for personalized implant design,
Wafa Benaatou   +8 more
wiley   +1 more source

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

open access: yesAdvanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal   +2 more
wiley   +1 more source

Robust Tuning Datasets for Statistical Machine Translation

open access: yes, 2017
We explore the idea of automatically crafting a tuning dataset for Statistical Machine Translation (SMT) that makes the hyper-parameters of the SMT system more robust with respect to some specific deficiencies of the parameter tuning algorithms.
Nakov, Preslav, Vogel, Stephan
core   +1 more source

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