Results 151 to 160 of about 8,495 (264)
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar +5 more
wiley +1 more source
I. Enhanced Autologous Immune Enhancement Therapy (AIET) for Cancer Treatment in Vietnam: From Clinical Trials to Broader. [PDF]
Liem NT.
europepmc +1 more source
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque +7 more
wiley +1 more source
Animal Abuse Reporting and the Ethical Role of Veterinarians: A Comparative Review of Practices in South Korea, Canada, and the United States. [PDF]
Rhee GS, Ahn R.
europepmc +1 more source
Proceedings of the Inter Disciplinary Conclave (IDC)-2021
openaire +1 more source
Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
A bibliometric analysis of investigative genetic genealogy in academic literature: Trends, networks, and emerging themes. [PDF]
Pellegrino A, Stasi A.
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source

