Digest making method based on turning point analysis

Author(s):  
T. Hashimoto ◽  
Y. Shirota ◽  
A. Iizawa ◽  
H. Kitagawa
Keyword(s):  
2020 ◽  
Vol 32 (5) ◽  
pp. 263-271
Author(s):  
Greenberry Taylor III ◽  
Yewande O. Addie ◽  
Jason Burchett ◽  
Christopher Durkin ◽  
Paul Crawford ◽  
...  
Keyword(s):  

2013 ◽  
Vol 6 (3) ◽  
pp. 214-237 ◽  
Author(s):  
A. Ariel Llorente ◽  
Roberto Luchi ◽  
Alejandro Sioli

1998 ◽  
Vol 46 (4) ◽  
pp. 287-303 ◽  
Author(s):  
Sherry Holladay ◽  
Rita Lackovich ◽  
Margaret Lee ◽  
Mindy Coleman ◽  
David Harding ◽  
...  

This study explores how granddaughters account for the development of their relationships with their maternal grandmothers. The retrospective interviewing technique was used to elicit turning points in their relational histories. Analysis of the turning point content revealed several different types of turning points that reflected both normative and idiosyncratic events. Increases in relational closeness resulted from decreases in geographic separation, engaging in shared activities, deaths or serious illnesses in the family, and family disruptions. Decreases in closeness were associated with negative experiences with the grandmother, increases in geographic separation, and the transition to college. Granddaughters reported that turning points related to death or serious illness and participation in shared activities were the most significant ones in their relationships with maternal grandmothers.


1997 ◽  
Vol 07 (11) ◽  
pp. 2459-2474 ◽  
Author(s):  
P. Schmelcher ◽  
F. K. Diakonos

The dynamics of one-dimensional iterative maps in the regime of fully developed chaos is studied in detail. Motivated by the observation of dynamical structures around the unstable fixed point we introduce the geometrical concept of a turning point which represents a local minimum or maximum of the trajectory. Following we investigate the highly organized and structured distribution of turning points. The turning point dynamics is discussed and the corresponding turning point map which possesses an appealing asymptotic scaling property is investigated. Strong correlations are shown to exist for the turning point trajectories which contain the information of the fixed points as well as the stability coefficients of the dynamical system. For the more specialized case of symmetric maps which possess a symmetric density we derive universal statistical properties of the corresponding turning point dynamics. Using the turning point concept we finally develop a method for the analysis of (one-dimensional) time series.


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