AIMC Topic: Nanotechnology
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Chitosan-tripolyphosphate nanoparticles: Optimization of formulation parameters for improving process yield at a novel pH using artificial neural networks.
International journal of biological macromolecules
Jan 16, 2016
At a novel pH value of the polymeric solution (6.2), variable chitosan (Cs) and sodium tripolyphosphate (TPP) concentrations and mass ratios were optimized to improve the process yield without undesirable particle flocculation. Prepared formulations ...
Employing TDMA Protocol in Neural Nanonetworks in Case of Neuron Specific Faults.
IEEE transactions on nanobioscience
Jul 1, 2015
Many neurodegenerative diseases arise from the malfunctioning neurons in the pathway where the signal is carried. In this paper, we propose neuron specific TDMA/multiplexing and demultiplexing mechanisms to convey the spikes of a receptor neuron over...
The straintronic spin-neuron.
Nanotechnology
Jun 26, 2015
In artificial neural networks, neurons are usually implemented with highly dissipative CMOS-based operational amplifiers. A more energy-efficient implementation is a 'spin-neuron' realized with a magneto-tunneling junction (MTJ) that is switched with...
Current state of micro-robots/devices as substitutes for screening colonoscopy: assessment based on technology readiness levels.
Surgical endoscopy
Jun 20, 2015
BACKGROUND: Previous reports have described several candidates, which have the potential to replace colonoscopy, but to date, there is still no device capable of fully replacing flexible colonoscopy in the management of colonic disorders and for mass...
Machine learning reveals sex-specific 17β-estradiol-responsive expression patterns in white perch (Morone americana) plasma proteins.
Proteomics
Jun 11, 2015
With growing abundance and awareness of endocrine disrupting compounds (EDCs) in the environment, there is a need for accurate and reliable detection of EDC exposure. Our objective in the present study was to observe differences within and between th...
Spin-transfer torque magnetic memory as a stochastic memristive synapse for neuromorphic systems.
IEEE transactions on biomedical circuits and systems
Apr 14, 2015
Spin-transfer torque magnetic memory (STT-MRAM) is currently under intense academic and industrial development, since it features non-volatility, high write and read speed and high endurance. In this work, we show that when used in a non-conventional...
Corrugated paraffin nanocomposite films as large stroke thermal actuators and self-activating thermal interfaces.
ACS applied materials & interfaces
Apr 9, 2015
High performance active materials are of rapidly growing interest for applications including soft robotics, microfluidic systems, and morphing composites. In particular, paraffin wax has been used to actuate miniature pumps, solenoid valves, and comp...
Size Control in the Nanoprecipitation Process of Stable Iodine (¹²⁷I) Using Microchannel Reactor-Optimization by Artificial Neural Networks.
AAPS PharmSciTech
Feb 6, 2015
In this study, nanosuspension of stable iodine ((127)I) was prepared by nanoprecipitation process in microfluidic devices. Then, size of particles was optimized using artificial neural networks (ANNs) modeling. The size of prepared particles was eval...
Artificial neural network assisted kinetic spectrophotometric technique for simultaneous determination of paracetamol and p-aminophenol in pharmaceutical samples using localized surface plasmon resonance band of silver nanoparticles.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 5, 2014
Spectrophotometric analysis method based on the combination of the principal component analysis (PCA) with the feed-forward neural network (FFNN) and the radial basis function network (RBFN) was proposed for the simultaneous determination of paraceta...
Memristor-based cellular nonlinear/neural network: design, analysis, and applications.
IEEE transactions on neural networks and learning systems
Jul 21, 2014
Cellular nonlinear/neural network (CNN) has been recognized as a powerful massively parallel architecture capable of solving complex engineering problems by performing trillions of analog operations per second. The memristor was theoretically predict...
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