scholarly journals Characterization of 3D Voronoi tessellation nearest neighbor lipid shells provides atomistic lipid disruption profile of protein containing lipid membranes

2015 ◽  
Vol 198 ◽  
pp. 22-35 ◽  
Author(s):  
Sara Y. Cheng ◽  
Hai V. Duong ◽  
Campbell Compton ◽  
Mark W. Vaughn ◽  
Hoa Nguyen ◽  
...  
Keyword(s):  
Lipid Membranes ◽  
Nearest Neighbor ◽  
Voronoi Tessellation ◽  
3D Voronoi Tessellation

scholarly journals Electrochemical Properties of Lipid Membranes Self-Assembled from Bicelles

Membranes ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 11
Author(s):  
Damian Dziubak ◽  
Kamil Strzelak ◽  
Slawomir Sek
Keyword(s):  
Electrochemical Properties ◽  
Self Assembly ◽  
Lipid Membranes ◽  
Lipid Membrane ◽  
Membrane Resistance ◽  
Electrochemical Characteristics ◽  
Freeze Thaw ◽  
Lipid Films ◽  
Supported Lipid Membranes

Supported lipid membranes are widely used platforms which serve as simplified models of cell membranes. Among numerous methods used for preparation of planar lipid films, self-assembly of bicelles appears to be promising strategy. Therefore, in this paper we have examined the mechanism of formation and the electrochemical properties of lipid films deposited onto thioglucose-modified gold electrodes from bicellar mixtures. It was found that adsorption of the bicelles occurs by replacement of interfacial water and it leads to formation of a double bilayer structure on the electrode surface. The resulting lipid assembly contains numerous defects and pinholes which affect the permeability of the membrane for ions and water. Significant improvement in morphology and electrochemical characteristics is achieved upon freeze–thaw treatment of the deposited membrane. The lipid assembly is rearranged to single bilayer configuration with locally occurring patches of the second bilayer, and the number of pinholes is substantially decreased. Electrochemical characterization of the lipid membrane after freeze–thaw treatment demonstrated that its permeability for ions and water is significantly reduced, which was manifested by the relatively high value of the membrane resistance.

scholarly journals Uniformity Assessment of TRISO Fuel Particle Distribution in Spherical HTGR Fuel Element Using Voronoi Tessellation and Delaunay Triangulation

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Libing Zhu ◽  
Xincheng Xiang ◽  
Yi Du ◽  
Gongyi Yu ◽  
Ziqiang Li ◽  
...  
Keyword(s):  
Fuel Element ◽  
Delaunay Triangulation ◽  
Nearest Neighbor ◽  
Voronoi Tessellation ◽  
Fission Products ◽  
Fuel Particle ◽  
Volume Distribution ◽  
Triso Fuel ◽  
Triso Particles ◽  
Log Normal

Nonuniform distribution of tri-structural-isotropic (TRISO) fuel particles in a spherical fuel element (SFE) may increase the failure probability of the SFE in the high-temperature gas-cooled reactor, leading to the release of fission products. To evaluate the uniformity of the TRISO particles nondestructively, 3-dimensional cone-beam computed tomography is used to image the SFE, and TRISO particles are segmented. After TRISO particle positions are identified, the Voronoi tessellation and Delaunay triangulation are used to extract several geometric metrics. Results indicate that both the Voronoi volume distribution and the nearest neighbor-distance distribution follow the log-normal distributions, which provide strong evidence that the TRISO particles are approximately randomly uniformly distributed. Further study will be focused on validating the conclusion with more SFE data.

Characterization of Ionophores Using Artificial Lipid Membranes

1979 ◽  
pp. 164-170
Author(s):  
Michele Chiesi
Keyword(s):  
Lipid Membranes

scholarly journals Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

10.3791/58998 ◽  
2019 ◽  
Author(s):  
Joseph S. Najem ◽  
Graham J. Taylor ◽  
Nick Armendarez ◽  
Ryan J. Weiss ◽  
Md Sakib Hasan ◽  
...  
Keyword(s):  
Ion Channel ◽  
Lipid Membranes

scholarly journals Validation and Investigation on the Mechanical Behavior of Concrete Using a Novel 3D Mesoscale Method

Materials ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 2647 ◽  
Author(s):  
Yuhang Zhang ◽  
Zhiyong Wang ◽  
Jie Zhang ◽  
Fenghua Zhou ◽  
Zhihua Wang ◽  
...  
Keyword(s):  
Failure Modes ◽  
Mechanical Performance ◽  
Voronoi Tessellation ◽  
Transitional Zone ◽  
Principal Factor ◽  
Evolution Analysis ◽  
Shrinking Process ◽  
Implicit Solver ◽  
Compressive Damage ◽  
3D Voronoi Tessellation

The mechanical performance of concrete is strongly influenced by the geometry and properties of its components (namely aggregate, mortar, and Interfacial Transitional Zone (ITZ)) from the mesoscale viewpoint, and analyzing the material at that level should be a powerful tool for understanding macroscopic behavior. In this paper, a simple and highly efficient method is proposed for constructing realistic mesostructures of concrete. A shrinking process based on 3D Voronoi tessellation was employed to generate aggregates with random polyhedron and grading size, and reversely, an extending procedure was applied for ITZ generation. 3D mesoscale numerical simulation was conducted under a quasi-static load using an implicit solver which demonstrated the good robustness and feasibility of the presented model. The simulated results resembled favorably the corresponding experiments both in stress–strain curves and failure modes. Damage evolution analysis showed that the ITZ phase has profound influence on the damage behavior of concrete as damage initially develops from here and propagates to mortar. In addition, it was found that tensile damage is the principal factor of mortar failure while compressive damage is the principal factor of ITZ failure under compression.

Characterization of carbon aerogels by transport measurements

1993 ◽  
Vol 8 (8) ◽  
pp. 1875-1885 ◽  
Author(s):  
A.W.P. Fung ◽  
Z.H. Wang ◽  
K. Lu ◽  
M.S. Dresselhaus ◽  
R.W. Pekala
Keyword(s):  
Raman Scattering ◽  
Temperature Dependence ◽  
Nearest Neighbor ◽  
Negative Temperature ◽  
Carbon Aerogels ◽  
Free Carriers ◽  
Carbon Particles ◽  
Microcellular Foams ◽  
Temperature Coefficient Of Resistivity

Carbon aerogels are a special class of low-density microcellular foams. These materials are composed of interconnected carbon particles with diameters of approximately 10 nm. The temperature dependence of the dc electrical resistivity and magnetic susceptibility (χ) from 4 K to room temperature, magnetoresistance (MR) in a magnetic field up to 15 T, and Raman scattering were measured as a function of aerogel density. While Raman scattering measurements are not sensitive to variations in density, the χ data show that there are more free carriers in samples of higher density. Aerogel samples with different densities all show a negative temperature coefficient of resistivity and a positive MR. The less dense samples exhibit a stronger temperature dependence of resistivity and a stronger field dependence of the MR, indicating that with decreasing density and increasing porosity, charge carriers are more localized. Data analysis precludes variable-range hopping in favor of nearest-neighbor hopping and fluctuation-induced tunneling as the most likely conduction mechanisms for carbon aerogels.

scholarly journals Spatiotemporal quantification of acoustic cell patterning using Voronoï tessellation

Lab on a Chip ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 562-573 ◽  
Author(s):  
James P. K. Armstrong ◽  
Stephanie A. Maynard ◽  
Isaac J. Pence ◽  
Amanda C. Franklin ◽  
Bruce W. Drinkwater ◽  
...  
Keyword(s):  
Image Analysis ◽  
Voronoi Tessellation ◽  
Cell Patterning ◽  
Analysis Method ◽  
Image Analysis Method

A new image analysis method based on Voronoï tessellation that enables quantitative and spatiotemporal characterization of acoustic cell patterning.

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

2014 ◽  
Vol 132 ◽  
pp. 30-41 ◽  
Author(s):  
Isaac Triguero ◽  
José A. Sáez ◽  
Julián Luengo ◽  
Salvador García ◽  
Francisco Herrera
Keyword(s):  
Nearest Neighbor ◽  
Nearest Neighbor Classification ◽  
Neighbor Classification ◽  
Noise Filters
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