AIMC Topic: Particle Size
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Delimiting the knowledge space and the design space of nanostructured lipid carriers through Artificial Intelligence tools.
International journal of pharmaceutics
Oct 26, 2018
Nanostructured lipid carriers (NLC) are biocompatible and biodegradable nanoscale systems with extensive application for controlled drug release. However, the development of optimal nanosystems along with a reproducible manufacturing process is still...
In vitro intestinal epithelium responses to titanium dioxide nanoparticles.
Food research international (Ottawa, Ont.)
Oct 12, 2018
Titanium dioxide (TiO) is enclosed in many consumer products including pharmaceuticals, cosmetics, and foods. TiO (E171) is daily ingested as mixed nano- and submicron-sized particles since it is approved as a white colorant in Europe in a wide varie...
Guava flavored whey-beverage processed by cold plasma: Physical characteristics, thermal behavior and microstructure.
Food research international (Ottawa, Ont.)
Oct 9, 2018
The present study aimed to compare the physicochemical (pH), physical (rheology parameters and particle size), microstructure (optical microscopy) and thermal properties (differential scanning calorimetry) of guava flavored whey-beverages submitted t...
Estimation of soil specific surface area using some mechanical properties of soil by artificial neural networks.
Environmental monitoring and assessment
Sep 27, 2018
Soil specific surface area (SSA) is an important property of soil. Depending on the measurement techniques, determination of the SSA is costly and time consuming. Hence, a limited number of studies have been conducted to predict the SSA from the soil...
MoS Memristors Exhibiting Variable Switching Characteristics toward Biorealistic Synaptic Emulation.
ACS nano
Sep 11, 2018
Memristors based on 2D layered materials could provide biorealistic ionic interactions and potentially enable construction of energy-efficient artificial neural networks capable of faithfully emulating neuronal interconnections in human brains. To bu...
Developing Noise-Resistant Three-Dimensional Single Particle Tracking Using Deep Neural Networks.
Analytical chemistry
Sep 6, 2018
Three-dimensional single particle tracking (3D SPT) is a powerful tool in various chemical and biological studies. In 3D SPT, z sensitive point spread functions (PSFs) are frequently used to generate different patterns, from which the axial position ...
Comparison of response surface methodology and artificial neural network to optimize novel ophthalmic flexible nano-liposomes: Characterization, evaluation, in vivo pharmacokinetics and molecular dynamics simulation.
Colloids and surfaces. B, Biointerfaces
Aug 23, 2018
To improve the topical delivery of pilocarpine hydrochloride (PN) to treat glaucoma, flexible nano-liposomes containing PN (PN-FLs) were prepared, optimized and characterized. Artificial neural network (ANN) and response surface methodology (RSM) wer...
Nanocomplexes composed of chitosan derivatives and β-Lactoglobulin as a carrier for anthocyanins: Preparation, stability and bioavailability in vitro.
Food research international (Ottawa, Ont.)
Aug 22, 2018
To improve sustained-release property, stability and bioavailability of anthocyanins (ACNs) in vitro, we fabricated the nanocomplexes with chitosan hydrochloride (CHC), carboxymethyl chitosan (CMC) and β-Lactoglobulin (β-Lg). Response surface methodo...
Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3D.
Proceedings of the National Academy of Sciences of the United States of America
Aug 22, 2018
Particle tracking is a powerful biophysical tool that requires conversion of large video files into position time series, i.e., traces of the species of interest for data analysis. Current tracking methods, based on a limited set of input parameters ...
Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM.
Environmental pollution (Barking, Essex : 1987)
Aug 11, 2018
Fine particulate matter (PM) has been recognized as a key air pollutant that can influence population health risk, especially during extreme cases such as wildfires. Previous studies have applied geospatial techniques such as land use regression to m...
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