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Optimizing the use of ultrasound to deliver chemotherapeutic agents to cancer cells from polymeric micelles
(Elsevier, 2011)
In this study, we present an artificial neural network (ANN) model that attempts to predict the dynamic release of doxorubicin (Dox) from P105 micelles under different ultrasonic power densities at 20 kHz. The goal is to ...
Use of Model Predictive Control and Artificial Neural Networks to Optimize the Ultrasonic Release of a Model Drug From Liposomes
(IEEE, 2017)
The use of echogenic liposomes to deliver chemotherapeutic agents for cancer treatment has gained wide recognition in the last 20 years. Cancerous cells can develop multiple drug resistance (MDR), in part, due to the drop ...
Optimum ethane recovery in conventional turboexpander process
(Elsevier, 2010)
Ethane recovery in a conventional turboexpander process is optimized considering different demethanizer pressures and different feeds: a lean gas and a rich one. The design variables are varied, while meeting process ...
Incorporating Computer-Aided Software in the Undergraduate Chemical Engineering Core Courses
(Chemical Engineering Education, 2014)
Introductions of computer-aided software and simulators are implemented during the sophomore-year of the chemical engineering (ChE) curriculum at the American University of Sharjah (AUS). Our faculty concurs that software ...