(Re)-Introducing Themes of Religion and Spirituality to Professional Social Work Training in the Land of ‘Saints and Scholars’.

This chapter begins by alluding to Ireland’s historical reputation as the land of “Saints and Scholars” and then briefly charts its demise from this position. A parallel process in relation to religiously motivated provision of health and social care is outlined. The inclusion of themes of religion and spirituality within the current professional social work codes in the USA and Britain and the framework for social work training in Northern Ireland is noted. In this context the lack of any substantive inclusion of themes of religion and/or spirituality within the Bachelor of Social Work (BSW) degree at Queens University Belfast will be situated. A series of intersecting reasons for this lack of inclusion are proposed in terms of the experience of living through the recent troubled history of Northern Ireland and a variety of biases in academic thought.
A rationale for the re-introduction of inputs on religion and spirituality is articulated in terms of the widespread resurgence of these themes within health and social care and psychotherapy literature and the new emphasis on practicing in culturally sensitive ways in Britain. The first steps to re-introduce these themes under the higher context marker of “culturally competent practice” are described and an analysis of data from the students’ feedback presented along with illustrative quotations. The dissonance between the initial misgivings of staff and the overwhelmingly positive responses of students are highlighted. The chapter concludes with a discussion of lessons learned through the process with an emphasis on how the inclusion of these themes can result in better practice for service users, including those impacted by “the Troubles” in Northern Ireland.

Fleuve glauque : les départements de la Seine, banlieue des romans « Spécial Police » de Frédéric Dard

This paper studies the representation of suburbs as a place of anguish in the “Special Police” novels (Fleuve Noir publisher, Paris) by Frédéric Dard. This anxiety, it is argued, is what lends this collection of 25 novels some of their essential qualities, their unhealthy climate and absolute darkness. Dard’s suburbs fit into the traditions of realism; but the atmosphere, characters and plots owe to the American hardboiled school and like in film noir, space is stylized and dramatized, and often used to express a judgment of moral nature. Spatial representations in these novels are part of a critique of civilization and constitute a comment on the social modernization and public intervention in the development of the French territory in the postwar period. The novels written by Frédéric Dard from the mid-1950s to mid-1960s offer a profoundly original representation of suburban angst and what was not yet known at the time as the suburban malaise. Avoiding clichés and excessively connoted referential spaces, Dard anchor these noir novels he called “novels of the night” in landscapes that are both biographical and intertextual. The West Suburbs of Paris and what was
to become the Yvelines department are at the centre of Dard’s novelistic geography, turning into a mythical and deadly space in which is negotiated an acculturation in France of the evil and ruined world described in American noir.

Massive MIMO with Optimal Power and Training Duration Allocation

We consider the uplink of massive multicell multiple-input multiple-output systems, where the base stations (BSs), equipped with massive arrays, serve simultaneously several terminals in the same frequency band. We assume that the BS estimates the channel from uplink training, and then uses the maximum ratio combining technique to detect the signals transmitted from all terminals in its own cell. We propose an optimal resource allocation scheme which jointly selects the training duration, training signal power, and data signal power in order to maximize the sum spectral efficiency, for a given total energy budget spent in a coherence interval. Numerical results verify the benefits of the optimal resource allocation scheme. Furthermore, we show that more training signal power should be used at low signal-to-noise ratio (SNRs), and vice versa at high SNRs. Interestingly, for the entire SNR regime, the optimal training duration is equal to the number of terminals.