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Translating Machine Learning Into Manufacturing Expertise—Actionable Interpretability and Stability for Precision Injection Molding
1 Introduction Injection molding (IM), especially high-precision optics IM, has been known for its complicated and nonlinear relationships between machine parameters and part qualities. Process and quality optimization for IM has been one of the major research topics in polymer manufacturing. Diverse methodologies, including artificial intelligence/machine learning (AI/ML), have been employed to optimize machine parameters and predict part quality [1].
Ultrasmall Gold Nanoparticles as “Three-in-One” Enzyme-Mimicking Nanocatalysts for Combined Sonodynamic/Catalytic Therapy in Breast Cancer
3.1. Physicochemical Characterization The usAuNPs were synthesized from HAuCl 4 ·3H 2 O using NaBH 4 as the reducing agent and alginate as the stabilizing agent ( Figure 1 a), following the method described in our previous work. (27) The UV–vis absorption spectrum exhibited a distinct localized surface plasmon resonance (LSPR) band at 511 nm, characteristic of usAuNPs ( Figure 1 b).
Acoustic Droplet Vaporization in Biology and Medicine
Acoustic Droplet Vaporization (ADV), Ultrasound Imaging, Embolic Therapy, Drug Delivery, Nanodroplets Lin, C.-Y., Pitt, W.G., “Acoustic Droplet Vaporization in Biology and Medicine”, BioMed Research International (Hindawi), 2013(404361), 1-13 (2013). http://dx.doi.org/10.1155/2013/404361 Lin, Chung-Yin and Pitt, William G., "Acoustic Droplet Vaporization in Biology and Medicine" (2013). Faculty Publications. 7689. https://scholarsarchive.byu.edu/facpub/7689 Peer-Reviewed Article Ira A.
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