Spring and Power in Hovering Ornithopters
Only small ornithopters can hover, longest at the hummingbird size. This article reviews the drive and power of these hovering machines, focusing on elastic energy and thrust boosters. Unlike two‐winged designs, X‐winged and multiple‐V‐winged ornithopters benefit from lower disk loading and slower, smaller wingbeats, and the clap‐and‐fling effect ...
Gih‐Keong Lau+4 more
wiley +1 more source
Appropriateness of Web-Based Resources for Home Blood Pressure Measurement and Their Alignment With Guideline Recommendations, Readability, and End User Involvement: Environmental Scan of Web-Based Resources. [PDF]
Clapham E+4 more
europepmc +1 more source
Advances in 3D and 4D Printing of Soft Robotics and Their Applications
This article summarizes the development of 3D‐printed soft robotics in the recent decade. The article discusses the printing capabilities of different additive manufacturing technologies in terms of soft polymers, multimaterial printability, soft robotic printing, and 4D printing.
Hao Liu+5 more
wiley +1 more source
Web-Based Educational Resources for Patients with Sickle Cell Disease: Availability and Reliability. [PDF]
Alabdulmohsen DM+6 more
europepmc +1 more source
Virtual Reference Services through Web Search Engines: Study of Academic Libraries in Pakistan [PDF]
Rubia Khan+3 more
openalex +1 more source
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou+4 more
wiley +1 more source
Leveraging artificial intelligence chatbots for anemia prevention: A comparative study of ChatGPT-3.5, copilot, and Gemini outputs against Google Search results. [PDF]
Ito S+4 more
europepmc +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source