Vesicle Structure and Formation of AB/BC Amphiphile Mixture Based on Hydrogen Bonding in a Selective Solvent: A Monte Carlo Study

2012 ◽  
Vol 116 (30) ◽  
pp. 9208-9214 ◽  
Author(s):  
Yuanyuan Han ◽  
Jie Cui ◽  
Wei Jiang
2017 ◽  
Vol 5 (43) ◽  
pp. 8479-8486 ◽  
Author(s):  
Yuanyuan Han ◽  
Jie Cui ◽  
Jing Jin ◽  
Wei Jiang

The protein adsorption behaviors on polymer brushes in the presence of hydrogen bonding between proteins and polymer brushes.


RSC Advances ◽  
2015 ◽  
Vol 5 (105) ◽  
pp. 86473-86484 ◽  
Author(s):  
Jiani Ma ◽  
Jie Cui ◽  
Yuanyuan Han ◽  
Wei Jiang ◽  
Yingchun Sun

Micelles with hamburger-type and Janus-type solvophobic parts, asymmetric vesicles with multicompartment outer surface formed by ABCA tetrablock copolymers in A-selective solvent.


2021 ◽  
Vol 24 (3) ◽  
pp. 33503
Author(s):  
V. Ravnik ◽  
B. Hribar-Lee ◽  
O. Pizio ◽  
M. Lukšič

Monte Carlo computer simulations in the canonical and grand canonical statistical ensemble were used to explore the properties of the central force (CF1) water model. The intramolecular structure of the H2O molecule is well reproduced by the model. Emphasis was made on hydrogen bonding, and on the tehrahedral, q, and translational, τ, order parameters. An energetic definition of the hydrogen bond gives more consistent results for the average number of hydrogen bonds compared to the one-parameter distance criterion. At 300 K, an average value of 3.8 was obtained. The q and τ metrics were used to elucidate the water-like anomalous behaviour of the CF1 model. The structural anomalies lead to the density anomaly, with a good agreement of the model's density with the experimental ρ(T) trends. The chemical potential-density projection of the model's equation of state was explored. Vapour-liquid coexistence was observed at sufficiently low temperatures.


Methodology ◽  
2013 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Holger Steinmetz

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that analyses of composite differences are only warranted in conditions of full measurement invariance, and the author recommends the analyses of latent mean differences with structural equation modeling instead.


2011 ◽  
Author(s):  
Patrick J. Rosopa ◽  
Amber N. Schroeder ◽  
Jessica Doll

1993 ◽  
Vol 3 (9) ◽  
pp. 1719-1728
Author(s):  
P. Dollfus ◽  
P. Hesto ◽  
S. Galdin ◽  
C. Brisset

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