Results 221 to 230 of about 2,402,901 (306)

Large language models and conditional rules in clinical decision support systems. [PDF]

Health Inf Sci Syst
Sivasothy S, Bingham A, Logothetis I, Barnett S, Abdelrazek M, Luckhoff C, Mathew J, Vasa R, Mouzakis K.   +8 more
europepmc   +1 more source

Towards Valid Student Simulation with Large Language Models [PDF]

Zhihao Yuan, Yunze Xiao, Ming Li, Yubo Wang, Richard Tong, Mona Diab, Tom M. Mitchell   +6 more
openalex  

Guardrails for trust, safety, and ethical development and deployment of Large Language Models (LLM)

Anjanava Biswas, Wrick Talukdar
openalex   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

What's With All the Hype?: Applying Large Language Models in Neurology Education. [PDF]

Neurol Educ
Jordan RF, Southerland AM.
europepmc   +1 more source

How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective

Chengpiao Huang, Yuhang Wu, Kaizheng Wang   +2 more
openalex   +1 more source

Large Language Models Meet NLP: A Survey [PDF]

Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu   +8 more
openalex   +1 more source

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source

Application of Large Language Models in Document Valuation. 2018-2025.

Ilya I. Belov
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source