Organization of the narrative components in autobiographical speech of anorexic adolescents: A statistical and non-linear dynamical analysis

2008 ◽  
Vol 26 (2) ◽  
pp. 295-308 ◽  
Author(s):  
Karyn Doba ◽  
Jean-Louis Nandrino ◽  
Annick Lesne ◽  
Christine Humez ◽  
Laurent Pezard
Keyword(s):  
Dynamical Analysis ◽  
Non Linear

scholarly journals Non-linear dynamical analysis of the Blazhko effect with the Kepler space telescope: the case of V783 Cyg

2014 ◽  
Vol 445 (3) ◽  
pp. 2810-2817 ◽  
Author(s):  
E. Plachy ◽  
J. M. Benkő ◽  
Z. Kolláth ◽  
L. Molnár ◽  
R. Szabó
Keyword(s):  
Dynamical Analysis ◽  
Space Telescope ◽  
Non Linear ◽  
Blazhko Effect ◽  
Kepler Space Telescope

scholarly journals Non-Linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson’s Disease from Healthy Individuals

2013 ◽  
Vol 4 ◽  
Author(s):  
Claudia Lainscsek ◽  
Manuel E. Hernandez ◽  
Jonathan Weyhenmeyer ◽  
Terrence J. Sejnowski ◽  
Howard Poizner
Keyword(s):  
Parkinson’S Disease ◽  
Time Series ◽  
Parkinson's Disease ◽  
Dynamical Analysis ◽  
Healthy Individuals ◽  
Non Linear

scholarly journals Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2507 ◽  
Author(s):  
Carmen Camara ◽  
Narayan P. Subramaniyam ◽  
Kevin Warwick ◽  
Lauri Parkkonen ◽  
Tipu Aziz ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Brain Activity ◽  
Dynamical Behaviour ◽  
Dynamical Analysis ◽  
Analysis Tool ◽  
Resting Tremor ◽  
Non Linear ◽  
Stimulation System ◽  
Deep Brain

Parkinson’s Disease (PD) is currently the second most common neurodegenerative disease. One of the most characteristic symptoms of PD is resting tremor. Local Field Potentials (LFPs) have been widely studied to investigate deviations from the typical patterns of healthy brain activity. However, the inherent dynamics of the Sub-Thalamic Nucleus (STN) LFPs and their spatiotemporal dynamics have not been well characterized. In this work, we study the non-linear dynamical behaviour of STN-LFPs of Parkinsonian patients using ε -recurrence networks. RNs are a non-linear analysis tool that encodes the geometric information of the underlying system, which can be characterised (for example, using graph theoretical measures) to extract information on the geometric properties of the attractor. Results show that the activity of the STN becomes more non-linear during the tremor episodes and that ε -recurrence network analysis is a suitable method to distinguish the transitions between movement conditions, anticipating the onset of the tremor, with the potential for application in a demand-driven deep brain stimulation system.

scholarly journals Non-linear dynamical analysis of imperfect functionally graded material shallow shells

2010 ◽  
Vol 32 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Dao Huy Bich ◽  
Vu Do Long
Keyword(s):  
Functionally Graded Material ◽  
Linear Equations ◽  
Functionally Graded ◽  
Dynamical Analysis ◽  
Power Law Distribution ◽  
Shallow Shells ◽  
Dynamical Behaviors ◽  
Non Linear ◽  
Graded Material ◽  
Geometrical Imperfections

Dynamical behaviors of functionally graded material shallow shells with geometrical imperfections are studied in this paper. The material properties are graded in the thickness direction according to the power-law distribution in terms of volume fractions of the constituents of the material. The motion, stability and compatibility equations of these structures are derived using the classical shell theory. The non-linear equations are solved by the Newmark's numerical integration method. The non-linear transient responses of cylindrical and doubly-curved shallow shells subjected to excited external forces are obtained and the dynamic critical buckling loads are evaluated based on the displacement responses using the criterion suggested by Budiansky and Roth. Obtained results show the essential influence of characteristics of functionally graded materials on the dynamical behaviors of shells.

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