La dialectique pluralisme religieux/incertitude religieuse dans la pensée de Peter L. Berger : analyse conceptuelle et essai critique.

La dialectique pluralisme religieux/incertitude religieuse, sur laquelle porte cette thèse, se révèle être un thème majeur dans la pensée de Peter L. Berger, en sociologie des religions et en théologie protestante. Une analyse systématique et détaillée des concepts-clés qui la constituent débouche sur la question des rapports entre sociologie et théologie à laquelle Berger lui-même s’est confronté. Abordée sous l’angle de l’idée du principe protestant, cette question s’est résolue, dès la fin des années 1960, en un certain « mariage » entre son approche de la sociologie de la connaissance et son approche théologique libérale. Les concepts de foi et théologie « inductives », de « voie médiane entre le fondamentalisme et le relativisme », semblent jaillir de cette dialectique et de ce « mariage ». Si néanmoins cette dialectique se retrace dans la pensée de Berger dès ses premières œuvres, la défense d’une via media théologique appliquée à toutes les religions se révèle être la conséquence de l’abandon (dès 1967), de sa posture théologique néo-orthodoxe. Dans cette posture, la dialectique bergérienne s’appliquait à toutes les religions mais laissait la foi chrétienne intouchée et pensée en termes de certitude. Or, une analyse critique de sa pensée permet de situer au moins à trois niveaux un certain nombre de problèmes : le niveau de sa conception de la religion manifestant une ambiguïté; le niveau des rapports entre sociologie et théologie révélant un biais libéral et une absence de contenu religieux concret pour le principe protestant; enfin le niveau de sa critique des quêtes contemporaines de certitudes religieuses, critique dont le fondement sur sa dialectique peut être questionné par des exemples de conception différente de la religion et de la certitude religieuse. Pour ces trois niveaux, l’exemple de la conception de la certitude religieuse par les protestants évangéliques permet au moins une ébauche d’un tel questionnement. Cette conception, surtout dans son idée de l’« assurance du salut», se fonde, dans son approche surnaturelle de la certitude religieuse, sur une adhésion et une confiance fortes quant aux contenus traditionnels de la foi chrétienne. Si les arguments avancés dans cette perspective demeurent discutables, ils semblent assez pertinents puisque la vitalité contemporaine de la religion à l’ère du pluralisme religieux (voir notamment le protestantisme évangélique aux États-Unis) constitue une indication que la validité empirique de la dialectique bergérienne, et la critique qu’elle fonde, sont largement problématiques si l’on tient compte de l’auto-compréhension des groupes religieux eux-mêmes.

Personal preferences for end-of-life care among Taiwanese community city dwellers : an inductive approach for qualitative data

Background: As an increasing number of Taiwanese people live out the final stages of their lives with chronic and complex conditions. Care decisions at the end of life can also be complex, overwhelming and stressful for an individual, family and health professionals. Understanding individuals’ wishes for end-of-life care and factors which influence individuals' decisions is important so that the provision of quality end-of-life care for all can be promoted and ensured.

Near knowledge : inductive learning systems in law

Induction is an interesting model of legal reasoning, since it provides a method of capturing initial states of legal principles and rules, and adjusting these principles and rules over time as the law changes. In this article I explain how Artificial Intelligence-based inductive learning algorithms work, and show how they have been used in law to model legal domains. I identify some problems with implementations undertaken in law to date, and create a taxonomy of appropriate cases to use in legal inductive inferencing systems. I suggest that inductive learning algorithms have potential in modeling law, but that the artificial intelligence implementations to date are problematic. I argue that induction should be further investigated, since it has the potential to be an extremely useful mechanism for understanding legal domains.

Deductive, inductive and analogical reasoning in legal decision support systems

In this paper we provide an overview of a number of fundamental reasoning formalisms in artificial intelligence which can and have been used in modelling legal reasoning. We describe deduction, induction and analogical reasoning formalisms, and show how they can be used separately to model legal reasoning. We argue that these formalisms can be used together to model legal reasoning more accurately, and describe a number of attempts to integrate the approaches.

A SiC-based matrix converter topology for inductive power transfer system

Typical inductive power transfer (IPT) systems employ two power conversion stages to generate a high-frequency primary current from low-frequency utility supply. This paper proposes a matrix-converter-based IPT system, which employs high-speed SiC devices to facilitate the generation of high-frequency current through a single power conversion stage. The proposed matrix converter topology transforms a three-phase low-frequency voltage system to a high-frequency single-phase voltage, which, in turn, powers a series compensated IPT system. A comprehensive mathematical model is developed and power losses are evaluated to investigate the efficiency of the proposed converter topology. Theoretical results are presented with simulations, which are performed in MATLAB/Simulink, in comparison to a conventional two-stage converter. Experimental evident of a prototype IPT system is also presented to demonstrate the applicability of the proposed concept.

Five-level current-source inverters with buck-boost and inductive-current balancing capabilities

This paper presents new five-level current-source inverters (CSIs) with voltage/current buck-boost capability, unlike existing five-level CSIs where only voltage-boost operation is supported. The proposed inverters attain self-inductive-current-balancing per switching cycle at their dc front ends without having to include additional balancing hardware or complex control manipulation. The inverters can conveniently be controlled by using the well-established phase-shifted carrier modulation scheme with only two additional linear references and a mapping logic table needed. Existing modulators can therefore be conveniently retrofitted for controlling the presented inverters. By appropriately coordinating the inverter gating signals, their implementations can be realized by using the least number of components without degrading performance. These enhanced features of the inverters have already been verified in simulation and experimentally using a scaled-down laboratory platform.

Contact with existing adipose tissue is inductive for adipogenesis in matrigel

The effect of adipose tissue on inductive adipogenesis within Matrigel (BD Biosciences) was assessed by using a murine chamber model containing a vascular pedicle. Three-chamber configurations that varied in the access to an adipose tissue source were used, including sealed- and open-chamber groups that had no access and limited access, respectively, to the surrounding adipose tissue, and a sealed-chamber group in which adipose tissue was placed as an autograft. All groups showed neovascularization, but varied in the amount of adipogenesis seen in direct relation to their access to preexisting adipose tissue: open chambers showed strong adipogenesis, whereas the sealed chambers had little or no adipose tissue; adipogenesis was restored in the autograft chamber group that contained 2- to 5-mg fat autografts. These showed significantly more adipogenesis than the sealed chambers with no autograft (p < 0.01). Autografts with 1 mg of fat were capable of producing adipogenesis but did so less consistently than the larger autografts. These findings have important implications for adipose tissue engineering strategies and for understanding de novo production of adipose tissue.

Controller synthesis of a bidirectional inductive power interface for electric vehicles

Bidirectional Inductive Power Transfer (IPT) systems are preferred for Vehicle-to-Grid (V2G) applications. Typically, bidirectional IPT systems consist of high order resonant networks, and therefore, the control of bidirectional IPT systems has always been a difficulty. To date several different controllers have been reported, but these have been designed using steady-state models, which invariably, are incapable of providing an accurate insight into the dynamic behaviour of the system A dynamic state-space model of a bidirectional IPT system has been reported. However, currently this model has not been used to optimise the design of controllers. Therefore, this paper proposes an optimised controller based on the dynamic model. To verify the operation of the proposed controller simulated results of the optimised controller and simulated results of another controller are compared. Results indicate that the proposed controller is capable of accurately and stably controlling the power flow in a bidirectional IPT system.

A matrix converter based Inductive Power Transfer system

Typical Inductive Power Transfer (IPT) systems employ two power conversion stages to generate a high frequency current from low frequency utility supply. This paper proposes a matrix converter based IPT system that facilitates the generation of high frequency current through a single power conversion stage. The proposed matrix converter topology transforms a 3-phase low frequency voltage system to a high frequency single phase voltage which in turn powers a series compensated IPT system. A comprehensive mathematical model is developed to investigate the behavior of the proposed IPT topology. Theoretical results are presented in comparison to simulations, which are performed in Matlab/ Simulink, to demonstrate the applicability of the proposed concept and the validity of the developed model.