Long-Range Correlations, Geometrical Structure, and Transport Properties of Macromolecular Solutions. The Equivalence of Configurational Statistics and Geometrodynamics of Large Molecules

Langmuir ◽  
2007 ◽  
Vol 23 (25) ◽  
pp. 12737-12751 ◽  
Author(s):  
Stefano A. Mezzasalma
Keyword(s):  
Transport Properties ◽  
Long Range ◽  
Geometrical Structure ◽  
Long Range Correlations ◽  
Large Molecules

Long-range correlations and charge transport properties of DNA sequences

2010 ◽  
Vol 374 (21) ◽  
pp. 2163-2169 ◽  
Author(s):  
Xiao-liang Liu ◽  
Yi Ren ◽  
Qiong-tao Xie ◽  
Chao-sheng Deng ◽  
Hui Xu
Keyword(s):  
Charge Transport ◽  
Transport Properties ◽  
Long Range ◽  
Dna Sequences ◽  
Long Range Correlations

scholarly journals Studies of charm and beauty hadron long-range correlations in pp and pPb collisions at LHC energies

2021 ◽  
Vol 813 ◽  
pp. 136036
Author(s):  
A.M. Sirunyan ◽  
A. Tumasyan ◽  
W. Adam ◽  
F. Ambrogi ◽  
T. Bergauer ◽  
...  
Keyword(s):  
Long Range ◽  
Long Range Correlations

scholarly journals Long-range correlations in pinned athermal networks

2021 ◽  
Vol 104 (1) ◽  
Author(s):  
Debankur Das ◽  
Pappu Acharya ◽  
Kabir Ramola
Keyword(s):  
Long Range ◽  
Long Range Correlations

Geometrical and Transport Properties of Disordered Fibre Networks: Analytical Results

1997 ◽  
Vol 11 (20) ◽  
pp. 867-875 ◽  
Author(s):  
A. A. Rodríaguez ◽  
E. Medina
Keyword(s):  
Probability Distribution ◽  
Transport Properties ◽  
Geometrical Structure ◽  
Mean Field ◽  
Field Approximation ◽  
Mean Field Approximation ◽  
Fracture Networks ◽  
Simplified Models ◽  
Fibre Density ◽  
Line Network

We study novel geometrical and transport properties of a 2D model of disordered fibre networks. To assess the geometrical structure we determine, analytically, the probability distribution for the number of fibre intersections and resulting segment sizes in the network as a function of fibre density and length. We also determine, numerically, the probability distribution of pore perimeters and areas. We find a non-monotonous behavior of the perimeter distribution whose main features can be explained by solving for two simplified models of the line network. Finally we formulate a mean field approximation to conduction, above the percolation threshold, using the derived results. Relevance of the results to fracture networks will be discussed.

LONG-RANGE CORRELATIONS IN THE PHASE-SHIFTS OF NUMERICAL SIMULATIONS OF BIOCHEMICAL OSCILLATIONS AND IN EXPERIMENTAL CARDIAC RHYTHMS

1999 ◽  
Vol 07 (02) ◽  
pp. 113-130 ◽  
Author(s):  
I. M. DE LA FUENTE ◽  
L. MARTINEZ ◽  
J. M. AGUIRREGABIRIA ◽  
J. VEGUILLAS ◽  
M. IRIARTE
Keyword(s):  
Phase Shift ◽  
Periodic Solutions ◽  
Long Range ◽  
Phase Shifts ◽  
Long Range Correlations ◽  
Rescaled Range ◽  
Biochemical Oscillations ◽  
Phase Shift Data ◽  
Relationship Of ◽  
The Relationship

In biochemical dynamical systems during each transition between periodical behaviors, all metabolic intermediaries of the system oscillate with the same frequency but with different phase-shifts. We have studied the behavior of phase-shift records obtained from random transitions between periodic solutions of a biochemical dynamical system. The phase-shift data were analyzed by means of Hurst's rescaled range method (introduced by Mandelbrot and Wallis). The results show the existence of persistent behavior: each value of the phase-shift depends not only on the recent transitions, but also on previous ones. In this paper, the different kind of periodic solutions were determined by different small values of the control parameter. It was assessed the significance of this results through extensive Monte Carlo simulations as well as quantifying the long-range correlations. We have also applied this type of analysis on cardiac rhythms, showing a clear persistent behavior. The relationship of the results with the cellular persistence phenomena conditioned by the past, widely evidenced in experimental observations, is discussed.

Dependence of the transport properties on the long range order of β-phase Co0.50Ti0.50 alloy films

2001 ◽  
Vol 89 (6) ◽  
pp. 3315-3318
Author(s):  
Y. P. Lee ◽  
K. W. Kim ◽  
J. Y. Rhee ◽  
Y. V. Kudryavtsev ◽  
V. V. Nemoshkalenko ◽  
...  
Keyword(s):  
Transport Properties ◽  
Long Range ◽  
Range Order ◽  
Long Range Order ◽  
Alloy Films ◽  
Β Phase
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