Results 241 to 250 of about 2,420,708 (306)

Semantically Aware UAV Landing Site Assessment from Remote Sensing Imagery via Multimodal Large Language Models

Chunliang Hua, Zeyuan Yang, Lei Zhang (张磊), Jiayang Sun, Fengwen Chen, Chunlan Zeng, Xiao Hu   +6 more
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

Artificial Intelligence and Large Language Models: Editorial Reflections

Turkish Journal of Anaesthesiology and Reanimation
Zekeriyya Alanoğlu, Serkan Tulgar, Alper Kılıçaslan, Özlem Selvi Can   +3 more
doaj   +1 more source

Comparative Performance of Large Language Models in Ophthalmology Referral Triage. [PDF]

Cureus
Cardoso-Teixeira P, Alves Ambrósio J, Garcia M, Chibante-Pedro J, Figueiredo L.   +4 more
europepmc   +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

Rethinking news framing with large language models. [PDF]

Sci Rep
Tohidi A, Haider S, Watts DJ.
europepmc   +1 more source

The Importance of AI Data Governance in Large Language Models

Saurabh Pahune, Zahid Akhtar, Venkatesh Mandapati, Kamran Siddique   +3 more
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

Comparison of large language models and expert multidisciplinary team decisions in colorectal cancer. [PDF]

BMJ Health Care Inform
Qu B, Cao L, Wu C, Chen Y, Sun T, Pei J, Huang L, Hou X, Li D, Wu A.   +9 more
europepmc   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source