Psychoanalytic Research: Process and Progress: The Emergence of New Experiences: Relational Improvisation, Recognition Process, and Non-Linear Change in Psychoanalytic Therapy

Author(s):  
Karlen Lyons-Ruth ◽  
N. Bruschweiler-Stern ◽  
A. Harrison ◽  
A. Morgan ◽  
J. Nahum ◽  
...  
Author(s):  
Horst D. Irretier

During the operation process in many types of fluid flow machines the rotating blades pass through various resonances e.g. during run-up or run-down or other transient conditions. Therefore, for the high cycle fatigue problem of the blades it might be important to consider the transient vibratory response of the blades during these passages through resonance and to get knowledge about the occuring maximum vibratory stresses. In the paper, approximate formulas are presented which allow the estimation of the maximum transient response of the blades. Thereby, the influence of the change of the natural frequencies due to the increasing or decreasing centrifugal force field during the run-up or run-down, respectively, is taken into consideration. Basically, the approximate formulas are based on a linear change of the natural frequencies versus time and on a linear viscous type of damping. Extensions to account for parabolic changes which are more realistic for centrifugal effects and for non-linear damping models e.g. friction damping or turbulence damping are discussed.


2009 ◽  
Vol 6 (1) ◽  
pp. 617-652 ◽  
Author(s):  
E. Simon ◽  
L. Bertino

Abstract. We consider the application of the Ensemble Kalman Filter (EnKF) to a coupled ocean ecosystem model (HYCOM-NORWECOM). Such models, especially the ecosystem models, are characterized by strongly non-linear interactions active in ocean blooms and present important limitations for the use of data assimilation methods based on linear statistical analysis. Besides the non-linearity of the model, one is confronted with physical/biological limitations, the analysis state having to be consistent with the model, especially with the constraints of positiveness of some variables. Furthermore the non-Gaussian distributions of the biogeochemical variables break an important assumption of the linear analysis, leading to a loss of optimality of the filter. We present an extension of the EnKF dealing with these limitations by introducing a non-linear change of variables (anamorphosis function) in order to execute the analysis step in a Gaussian space. We present also the initial results of the application of this non-Gaussian extension of the EnKF to the assimilation of simulated chlorophyll surface concentration data in a North Atlantic configuration of the HYCOM NORWECOM coupled model.


2013 ◽  
Vol 15 (1) ◽  
pp. 43-67 ◽  
Author(s):  
Amran Hamzah ◽  
Mark P. Hampton
Keyword(s):  

2017 ◽  
Vol 13 (7S_Part_22) ◽  
pp. P1086-P1087
Author(s):  
Chris M. Foster ◽  
Kristen M. Kennedy ◽  
Marci M. Horn ◽  
David A. Hoagey ◽  
Karen M. Rodrigue

Ocean Science ◽  
2009 ◽  
Vol 5 (4) ◽  
pp. 495-510 ◽  
Author(s):  
E. Simon ◽  
L. Bertino

Abstract. We consider the application of the Ensemble Kalman Filter (EnKF) to a coupled ocean ecosystem model (HYCOM-NORWECOM). Such models, especially the ecosystem models, are characterized by strongly non-linear interactions active in ocean blooms and present important difficulties for the use of data assimilation methods based on linear statistical analysis. Besides the non-linearity of the model, one is confronted with the model constraints, the analysis state having to be consistent with the model, especially with respect to the constraints that some of the variables have to be positive. Furthermore the non-Gaussian distributions of the biogeochemical variables break an important assumption of the linear analysis, leading to a loss of optimality of the filter. We present an extension of the EnKF dealing with these difficulties by introducing a non-linear change of variables (anamorphosis function) in order to execute the analysis step in a Gaussian space, namely a space where the distributions of the transformed variables are Gaussian. We present also the initial results of the application of this non-Gaussian extension of the EnKF to the assimilation of simulated chlorophyll surface concentration data in a North Atlantic configuration of the HYCOM-NORWECOM coupled model.


2017 ◽  
Vol 13 (7S_Part_2) ◽  
pp. P91-P91
Author(s):  
Chris M. Foster ◽  
Kristen M. Kennedy ◽  
Marci M. Horn ◽  
David A. Hoagey ◽  
Karen M. Rodrigue

2018 ◽  
Vol 12 (1) ◽  
pp. 71-76
Author(s):  
Johanna Ennser-Kananen ◽  
Taina Saarinen ◽  
Nina Sivunen

Unexpected theoretical, methodological, and processual challenges are rarely discussed in the field of Applied Language Studies. In this discussion note, three Finland-based scholars explore ideas at the intersections of methodologies, ethics, and research identities through a research ethics lens, inspired by Heath Rose and Jim McKinley’s (eds.) volume Doing Research in Applied Linguistics: Realities, dilemmas and solutions (2017), which discusses ways to overcome problems that may emerge in any research process. The authors argue that presenting research processes as “polished” or “flawless” may conceal their knowledge construction aspects and thus miss important opportunities for developing research methodologies and ethics. Instead, they recommend making the unexpected and non-linear aspects of research processes visible and understanding them as integral parts of the process.


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