Results 141 to 150 of about 970,151 (199)

Intelligent Plasmonic Bio‐Holoelectrochemical Systems: A Testable Architecture for Light‐Programmed Microbial Electrochemistry

Global Challenges, Volume 10, Issue 9, September 2026.
An evidence‐derived architecture integrates structured light, plasmonic bioelectrodes, spatial sensing, microbial electrosynthesis, and digital‐twin control into a testable framework for light‐programmed microbial electrochemistry. Mechanistic discrimination, equal‐dose spatial validation, and conservation‐aware performance accounting define the ...
Timoth Mkilima
wiley   +1 more source

Semantic annotation of large satellite images using Latent Dirichlet Allocation

, 2008
Images can be annotated semantically by using Latent Dirichlet ...
Maitre, Henri, Lienou, Marie, Datcu, Mihai   +2 more
core  

Beyond the Black Box: Is Artificial Intelligence Ready to Reshape Neurosurgical Decision‐Making? A Narrative Review

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Artificial intelligence (AI) is increasingly being integrated into neurosurgical practice, offering capabilities in diagnostic imaging, surgical planning, and outcome prediction. However, the “black box” nature of many AI systems generating recommendations without a transparent rationale poses fundamental challenges to ...
Dip Bahadur Singh, Yashoda Dangi, Bhishma Prasad Pokharel   +2 more
wiley   +1 more source

Applications of Machine Learning in Noninvasive Anemia Diagnosis: A Systematic Review Based on Cross‐Industry Standard Process for Data Mining

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Anemia is a disorder caused by insufficient red blood cell count or hemoglobin concentration, affecting nearly a quarter of the global population each year. An undiagnosed condition can escalate into life‐threatening complications, particularly among pregnant women and children. Although anemia causes identifiable symptoms,
Mohammad Hadi Ghahroudi, Niloofar Mohammadzadeh, Hadiseh Ghadiri Bidhendi   +2 more
wiley   +1 more source

Extending the Boundaries of Paracrises: A Computational Perspective on Narrating Stalemates Through eWOM in Electing Mr. Speaker on X

Journal of Contingencies and Crisis Management, Volume 34, Issue 3, September 2026.
ABSTRACT Social media play crucial dialogic and strategic roles during paracrisis. Responding to a prior call to extend agenda‐setting theory to study paracrises, this manuscript builds on the literature by moving beyond the dominant focus on for‐profit organisations in public relations and crisis studies into the political sphere.
Nana Kwame Osei Fordjour
wiley   +1 more source

Latent Dirichlet Allocation in R

, 2012
Topic models are a new research field within the computer sciences information retrieval and text mining. They are generative probabilistic models of text corpora inferred by machine learning and they can be used for retrieval and text mining tasks. The most prominent topic model is latent Dirichlet allocation (LDA), which was introduced in 2003 by ...
openaire   +2 more sources

Spatial Transcriptomics and Bulk RNA‐Seq Analysis Revealed Molecular Classification of Invasive Lobular Carcinoma

Cancer Science, Volume 117, Issue 9, Page 2586-2601, September 2026.
Spatial transcriptomics and bulk RNA‐seq data analysis revealed the molecular characteristics of invasive lobular carcinoma (ILC). ILC was classified into three clusters: proliferative, immunoreactive, and stromal‐rich, with different prognoses. ABSTRACT Invasive lobular carcinoma (ILC) is a special type of breast cancer.
Momoko Tokura, Jun Nakayama, Hironori Suzuki, Mieko Ochi, Miyaka Umemori, Sho Shiino, Masayuki Yoshida, Shin Takayama, Yasushi Yatabe, Yusuke Yamamoto   +9 more
wiley   +1 more source

Enhancing E‐Commerce Recommendations Through Review Summarization and Multi‐Embedding Feature Fusion

Expert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT With the rapid growth of e‐commerce, recommender systems have become essential tools for alleviating information overload by providing users with personalized item suggestions that match their preferences. Traditional collaborative filtering approaches have shown strong performance, while they still suffer from data sparsity since they rely ...
Haebin Lim, Seonu Park, Qinglong Li, Xinzhe Li, Jaekyeong Kim   +4 more
wiley   +1 more source

Influencer Authenticity in Marketing: A Systematic Literature Review and Future Research Agenda

International Journal of Consumer Studies, Volume 50, Issue 5, September 2026.
ABSTRACT As influencer marketing scales into a mainstream advertising channel, authenticity has become its defining currency, yet consumers and brands struggle to understand what makes a social media influencer (SMI) genuinely credible and why strategic authenticity backfires.
Fatih Celik, Blend Ibrahim, Eray Polat, Julie Moulard, Metin Akbulut   +4 more
wiley   +1 more source

YouTube Communication of the International Council of Nurses: A Topic Modeling Analysis Using Latent Dirichlet Allocation

International Nursing Review, Volume 73, Issue 3, September 2026.
ABSTRACT Aim This study aims to analyze the YouTube videos of the International Council of Nurses using text mining and Latent Dirichlet Allocation to provide thematic insights that can strengthen the organization's digital communication strategies and support its institutional objectives.
Esra Ersoy, Filiz Kantek
wiley   +1 more source