AIMC Topic: Ultrasonics
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Ultrasonic Tethering to Enable Side-by-Side Following for Powered Wheelchairs.
Sensors (Basel, Switzerland)
Dec 30, 2018
In social situations, people who use a powered wheelchair must divide their attention between navigating the chair and conversing with people. These conversations could lead to increased mental stress when navigating and distraction from maneuvering ...
Can low-frequency guided waves at the tibia paired with machine learning differentiate between healthy and osteopenic/osteoporotic subjects? A pilot study.
Ultrasonics
Nov 30, 2018
PURPOSE: Axial transmission quantitative acoustics (ax-QA) has shown to be a promising tool for assessing bone health and properties in a safe, inexpensive, and portable manner. This study investigated the efficacy of low-frequency ax-QA measured at ...
Enzymatic preparation of "functional oil" rich in feruloylated structured lipids with solvent-free ultrasound pretreatment.
Food chemistry
Dec 19, 2017
In this study, a series of functional oils rich in feruloylated structured lipids (FSLs) was prepared by enzymatic transesterification of ethyl ferulate (EF) with triglycerides under ultrasound pretreatment. A conversion of more than 92.7% and contro...
MRI guided focused ultrasound robotic system for animal experiments.
The international journal of medical robotics + computer assisted surgery : MRCAS
Feb 17, 2017
BACKGROUND: In this paper an MRI-guided focused ultrasound (MRgFUS) robotic system was developed that can be used for conducting experiments in small animals.The target for this robotic system regarding motion was to move a therapeutic ultrasound tra...
Use of Model Predictive Control and Artificial Neural Networks to Optimize the Ultrasonic Release of a Model Drug From Liposomes.
IEEE transactions on nanobioscience
Jan 30, 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 in concentration of chemothe...
A Practical Framework Toward Prediction of Breaking Force and Disintegration of Tablet Formulations Using Machine Learning Tools.
Journal of pharmaceutical sciences
Oct 27, 2016
Enabling the paradigm of quality by design requires the ability to quantitatively correlate material properties and process variables to measureable product performance attributes. Conventional, quality-by-test methods for determining tablet breaking...
Intensification of degradation of methomyl (carbamate group pesticide) by using the combination of ultrasonic cavitation and process intensifying additives.
Ultrasonics sonochemistry
Dec 19, 2015
In the present work, the degradation of methomyl has been carried out by using the ultrasound cavitation (US) and its combination with H2O2, Fenton and photo-Fenton process. The study of effect of operating pH and ultrasound power density has indicat...
Ultrasonic shears assistance can shorten the console time in robotic gastrectomy for early gastric cancer.
BMC research notes
Sep 15, 2015
BACKGROUND: Robotic gastric surgery has been introduced and is being performed in many Japanese facilities. There are some limitations of devices capable to be used in the robotic arms in the da Vinci Surgical System. We have reviewed our first ten c...
Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: artificial neural network modeling.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 13, 2014
The present work focused on the removal of sunset yellow (SY) dye from aqueous solution by ultrasound-assisted adsorption and stirrer by activated carbon prepared from wood of an orange tree. Also, the artificial neural network (ANN) model was used f...
Comparison of response surface methodology and artificial neural network approach towards efficient ultrasound-assisted biodiesel production from muskmelon oil.
Ultrasonics sonochemistry
Oct 23, 2014
The present study is to evaluate and compare the prediction and simulating efficiencies of response surface methodology (RSM) and artificial neural network (ANN) based models on fatty acid methyl esters (FAME) yield achieved from muskmelon oil (MMO) ...
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