Results 191 to 200 of about 4,963 (301)
Comparative analysis of lump, breather, and interaction solutions using a bidirectional data mapping approach. [PDF]
Kazmi SS, Riaz MB.
europepmc +1 more source
Strategically adjusting the pyridine nitrogen position in the polymer matrix (pyridine isomerism) intensifies its interaction with embedded Fe3O4 nanocrystals. This enhanced interaction induces a spin‐state transition in Fe from low‐spin to intermediate‐spin, accompanied by refined d‐orbital properties.
Ruiqi Cheng +11 more
wiley +1 more source
The Effect of Mouth Breathing on Facial Anthropometry. [PDF]
Hasansulama W, Boesoirie SF, Septiani F.
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Observation of Kerr soliton microcomb locked with a phonon laser. [PDF]
Li X +7 more
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Transverse maxillary dimensions and upper airway morphology in mouth- and nasal-breathing children aged 10-12 years: A CBCT-based study. [PDF]
Satiti R, Susanto H, Narwidina A.
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Cephalometric Evaluation of Mouth-Breathing Patients: A Retrospective Study Using Sassouni, Down, and Steiner Analyses. [PDF]
Kumari B, Singh RK, Khanna R.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source

