### Keywords ###<br />#phenoliccompounds #ultrasound #nanoencapsulation #ArtificialNeuralNetworks(ANN) #RTCLTV #shorts<br /><br />### Article Attribution ###<br />Title: Prediction of in vitro release of nanoencapsulated phenolic compounds using Artificial Neural Networks<br />Authors: Luz América Espinosa-Sandoval, Claudia Isabel Ochoa-Martínez ,and Alfredo Adolfo Ayala-Aponte<br />Publisher: Universidad Nacional de Colombia<br />DOI: 10.15446/dyna.v87n212.72883<br />DOAJ URL: <a href="https://doaj.org/article/ca4375a149194559b4a523856192ecb8" target="_blank" rel="nofollow">https://doaj.org/article/ca4375a149194559b4a523856192ecb8</a><br />Source URL: <a href="https://revistas.unal.edu.co/index.php/dyna/article/view/72883" target="_blank" rel="nofollow">https://revistas.unal.edu.co/index.php/dyna/article/view/72883</a><br /><br /><br /><br />### Image Attribution ###<br />We used stable diffusion to programmatically generate the background images. <br />Viewer discretion is advised.<br /><br />### Channels ###<br />YouTube Channel: <a href="https://www.youtube.com/@stemrtcltv" target="_blank" rel="nofollow">https://www.youtube.com/@stemrtcltv</a><br />Odysee Channel: <a href="https://odysee.com/@stem_rtcl_tv" target="_blank" rel="nofollow">https://odysee.com/@stem_rtcl_tv</a><br /><br />### Video Timestamps ###<br />0:00:00 - Summary <br />0:00:18 - Title <br />0:00:27 - End <br />