Results 271 to 280 of about 6,752,036 (307)
Food Safety and Health, EarlyView.Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi +7 more
wiley +1 more source
Knowledge sourcing, geopolitics, and FDI: An empirical analysis on the US green and digital sectors
Global Strategy Journal, EarlyView.Abstract Research Summary This paper examines how foreign direct investment (FDI) shapes firms' sourcing of knowledge in the digital and green domains under rising geopolitical frictions. We assemble a firm–country dyadic panel (2013–2020) linking US patent backward citations to firms' FDI, enriched with bilateral geopolitical distance and host‐country
Alberto Maria Radici
wiley +1 more source
Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories
International Journal of Finance &Economics, EarlyView.ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley +1 more source
Use of natural language processing to extract uterine weight from pathology reports
International Journal of Gynecology &Obstetrics, EarlyView.Abstract Introduction For patients requiring hysterectomy, uterine weight is an important factor affecting surgical complexity and surgical outcomes. However, uterine weight is not readily available for analysis in administrative databases. In the present study, we use natural language processing to extract uterine weight from narrative pathology text.
Steven Habbous +3 more
wiley +1 more source
Artificial intelligence models Traditional Chinese Medicine principles to integrate with biomedicine
iMeta, EarlyView.Using 26,339 model‐eligible Traditional Chinese Medicine (TCM) formula records, we trained an autoencoder following TCM's compression–expansion logic to learn the TCM embedding space (TCM‐ES), quantifying symptom‐pattern–formula mappings. TCM‐ES aligns with conventional TCM principles not used in training.
Haoran Li +12 more
wiley +1 more source
Signaling uniqueness: The psycholinguistic effect of language precision on product perceptions
Journal of Consumer Psychology, EarlyView.Abstract This research reveals a psycholinguistic effect whereby more precise words in product communications increase consumer perceptions of product uniqueness. Drawing on Categorization Theory, the authors propose that more precise words in product descriptions are situated deeper within their semantic categories and denote narrower subsets of ...
Guang‐Xin Xie, Ann Kronrod
wiley +1 more source
JCPP Advances, EarlyView.Abstract Background Taxometric analysis is designed to test whether the latent structure underlying clinical conditions is categorical (taxonic) or dimensional. Despite its relevance to ongoing debates on neurodevelopmental conditions, its application to this field remains limited.
Enrico Toffalini +4 more
wiley +1 more source
Journal of Intelligent Medicine, EarlyView.SubDIVIDE integrates a physics‐consistent DIVIDE subspace directly into MRI reconstruction. By embedding a low‐rank basis derived from a large DIVIDE signal dictionary into a joint ADMM optimization—together with composite sensitivity maps that absorb inter‐b‐value phase errors—the framework recovers quantitative microstructural maps from highly ...
Cheng Yang +4 more
wiley +1 more source