The fractal nature of French tense/aspect acquisition

2015 ◽  
Vol 6 (1) ◽  
pp. 45-67
Author(s):  
Cory Lyle
Keyword(s):  
Fractal Nature

Post-Non-Classical World View in the On-Screen Reality of the Digital Epoch

2015 ◽  
pp. 4-12
Author(s):  
Elena V. Nikolaeva
Keyword(s):  
World View ◽  
Dynamic Chaos ◽  
Digital Culture ◽  
Fractal Nature ◽  
Late 20Th Century ◽  
First Order ◽  
Classical World ◽  
Different Types ◽  
Strange Loops ◽  
Cultural World

The article analyzes the correlation between the screen reality and the first-order reality in the digital culture. Specific concepts of the scientific paradigm of the late 20th century are considered as constituent principles of the on-screen reality of the digital epoch. The study proves that the post-non-classical cultural world view, emerging from the dynamic “chaos” of informational and semantic rows of TV programs and cinematographic narrations, is of a fractal nature. The article investigates different types of fractality of the TV content and film plots, their inner and outer “strange loops” and artistic interpretations of the “butterfly effect”.

Cross-polarization kinetics and fractal nature of thermal equilibration in spin systems: From low-dimensional proton conductors to tripeptides

2021 ◽  
Vol 152 ◽  
pp. 109946
Author(s):  
Laurynas Dagys ◽  
Vytautas Klimavicius ◽  
Martin Brodrecht ◽  
Gerd Buntkowsky ◽  
Vytautas Balevicius
Keyword(s):  
Spin Systems ◽  
Proton Conductors ◽  
Cross Polarization ◽  
Fractal Nature ◽  
Thermal Equilibration ◽  
Low Dimensional

On the fractal nature of frequency dispersion of the impedance of the interface tellurium/electrolyte

Ionics ◽  
2002 ◽  
Vol 8 (5-6) ◽  
pp. 421-425
Author(s):  
M. A. Giraev ◽  
R. M. Guseinov
Keyword(s):  
Frequency Dispersion ◽  
Fractal Nature

scholarly journals A Fractal Nature for Polymerized Laminin

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e109388 ◽  
Author(s):  
Camila Hochman-Mendez ◽  
Marco Cantini ◽  
David Moratal ◽  
Manuel Salmeron-Sanchez ◽  
Tatiana Coelho-Sampaio
Keyword(s):  
Fractal Nature

The Fractal Nature of the Development of the Self

1992 ◽  
Vol 71 (3_suppl) ◽  
pp. 1043-1063 ◽  
Author(s):  
Michael R. Bütz
Keyword(s):  
Life Cycle ◽  
Chaos Theory ◽  
Analytical Psychology ◽  
The Self ◽  
Theory Building ◽  
Fractal Nature

This paper provides a discussion of the life cycle using a framework constructed from ideas in chaos theory. Building upon psychodynamic ideas from Freud, Jung, and Erikson, the integration of the Self is discussed from the viewpoint of Analytical Psychology. It is proposed that throughout our lives we encounter crisis points that fractionate the ego and necessitate use of more complex and adaptive psychic structures to contain or handle the seemingly disparate qualities that arise. We may say that eventually one aspires to realize Analytical Psychology's goal of integrating the superior and the inferior functions of the psyche into a cohesive Self. Jung seemed to state that the Self could never be attained, but it is argued in this paper that a form of transitory self may be realized periodically during the course of the life cycle.

Polymer morphology of CO2-blown rigid polyurethane foams: Its fractal nature

1994 ◽  
Vol 54 (7) ◽  
pp. 935-949 ◽  
Author(s):  
H. J. M. Grünbauer ◽  
J. C. W. Folmer
Keyword(s):  
Polyurethane Foams ◽  
Fractal Nature ◽  
Polymer Morphology ◽  
Rigid Polyurethane Foams

scholarly journals On the Fractal Nature of Local Optima Networks

2018 ◽  
pp. 18-33 ◽  
Author(s):  
Sarah L. Thomson ◽  
Sébastien Verel ◽  
Gabriela Ochoa ◽  
Nadarajen Veerapen ◽  
Paul McMenemy
Keyword(s):  
Fractal Nature ◽  
Local Optima ◽  
Local Optima Networks

Fractality of Simulated Fracture

2009 ◽  
Vol 409 ◽  
pp. 154-160 ◽  
Author(s):  
Petr Frantík ◽  
Zbyněk Keršner ◽  
Václav Veselý ◽  
Ladislav Řoutil
Keyword(s):  
Numerical Model ◽  
Elastic Plate ◽  
Model Simulation ◽  
Element Model ◽  
The Other ◽  
Particle Model ◽  
Discrete Element Model ◽  
Fractal Nature ◽  
Discrete Elements ◽  
The Impact

The paper is focussed on numerical simulations of the fracture of a quasi-brittle specimen due to its impact onto a fixed rigid elastic plate. The failure of the specimen after the impact is modelled in two ways based on the physical discretization of continuum: via physical discrete elements and pseudo-particles. Advantages and drawbacks of both used methods are discussed. The size distribution of the fragments of the broken specimen resulting from physical discrete element model simulation follows a power law, which indicates the ability of the numerical model to identify the fractal nature of the fracture. The pseudo-particle model, on the other side, can successfully predict the kinematics of the fragments of the specimen under impact failure.

On the fractal nature of heart rate variability in humans: effects of respiratory sinus arrhythmia

1995 ◽  
Vol 269 (2) ◽  
pp. H480-H486 ◽  
Author(s):  
Y. Yamamoto ◽  
J. O. Fortrat ◽  
R. L. Hughson
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Coarse Graining ◽  
Resting Heart Rate ◽  
Breathing Frequency ◽  
Fractal Nature ◽  
Sinus Arrhythmia ◽  
Spectral Exponent ◽  
Random Fractal

The purpose of the present study was to investigate the basic fractal nature of the variability in resting heart rate (HRV), relative to that in breathing frequency (BFV) and tidal volume (TVV), and to test the hypothesis that fractal HRV is due to the fractal BFV and/or TVV in humans. In addition, the possible fractal nature of respiratory volume curves (RVC) and HRV was observed. In the first study, eight subjects were tested while they sat quietly in a comfortable chair for 60 min. Beat-to-beat R-R intervals, i.e., HRV, and breath-by-breath BFV and TVV were measured. In the second study, six subjects were tested while they were in the supine position for 20-30 min. The RVC was monitored continuously together with HRV. Coarse-graining spectral analysis (Yamamoto, Y., and R. L. Hughson, Physica D 68: 250-264, 1993) was applied to these signals to evaluate the percentage of random fractal components in the time series (%Fractal) and the spectral exponent (beta), which characterizes irregularity of the signals. The estimates of beta were determined for each variable only over the range normally used to evaluate HRV. Values for %Fractal and beta of both BFV and TVV were significantly (P < 0.05) greater than those for HRV. In addition, there was no significant (P > 0.05) correlation between the beta values of HRV relative to either BFV (r = 0.14) or TVV (r = 0.34). RVC showed a smooth oscillation as compared with HRV; %Fractal for RVC (42.3 +/- 21.7%, mean +/- SD) was significantly (P < 0.05) lower than that for HRV (78.5 +/- 4.2%).(ABSTRACT TRUNCATED AT 250 WORDS)

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