The al-Ghazali’s Soul Therapy Model Based on The Works of al-Arba'in fi Usul al-Din

Most couple therapy models (Declaire & Gottman, 2001; Beck, 1967; Bader & Pearson, 1988; Greenberg & Johnson, 1988; Johnson, 1996) do not produce effective outcomes. This is mainly because of the lack of sound theoretical constructs for most of these models. This paper shows how a model based on Imago Therapy (Hendrix & Hunt, 1988; Hendrix & Hunt, 2003; Hendrix & Hunt, 2005) and Voice Dialogue Facilitation (Stone and Stone, 1989; Stone & Stone, 1993; Stone & Stone, 2000) can be based on sound neuroscience evidence: Chan (2015); (Pare & Duvarci, 2012); Lewis, Fari & Lannon (2000); Harlow’s (1958); (Brehony, 2003; Farrow & Woodruff, 2007; Schore, 2003) and can help couples in distress not only heal and reestablish their initimacy, but also prevent experiences of future distress in ways that the current Imago Therapy model cannot.

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L'approccio relazionale intersoggettivo al trattamento congiunto

INTERAZIONI ◽

10.3280/int2008-002004 ◽

2009 ◽

pp. 30-54

Author(s):

Philip A. Ringstrom

Keyword(s):

Couples Therapy ◽

Mutual Recognition ◽

Psychoanalytic Theory ◽

Treatment Model ◽

Model Based ◽

Non Linear ◽

Therapy Model ◽

Conjoint Treatment ◽

Relational Paradigm ◽

Ego Psychology

- Philip Ringstrom proposes a couples therapy model based on the intersubjective and relational paradigm whose goal is to enable two "‘real selves' to intimately connect under that same roof", and at the same time the partners become able to repair the inevitable ruptures and to overcome the mismatches that arise from both the similarities and the differences between two subjects in a relationship. Ringstrom's treatment model is organized in six non-linear steps, like Escher's ascending and descending staircases. It is outlined in three basic points: - self actualisation; - mutual recognition; - the development of a relational mind of its own. Ringstrom's Conjoint treatment also shows us the progress of psychoanalytic theory beginning with Freud (where there is Es, there will be Ego), through Ego Psychology (where there is Ego, there will be objects), until Benjamin's latest formulations (where there are objects, there will subjects).

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

2001 ◽

Vol 7 (S2) ◽

pp. 578-579

Author(s):

David W. Knowles ◽

Sophie A. Lelièvre ◽

Carlos Ortiz de Solόrzano ◽

Stephen J. Lockett ◽

Mina J. Bissell ◽

...

Keyword(s):

Image Analysis ◽

Mammary Epithelial Cells ◽

Nuclear Organization ◽

Critical Role ◽

Quantitative Model ◽

Mammary Epithelial ◽

Cell Phenotype ◽

Proliferating Cells ◽

Mitotic Apparatus ◽

Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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