'You cannot get enough of them!’ The rise (and fall) of complementary therapies in British nursing practice in the 1980s and 1990s

This paper examines the emerging use of complementary therapies in British nursing practice at the end of the twentieth century. Many nurses turned to complementary therapies as a means to provide a closer therapeutic relationship with their patients and this paper will establish how nurses were informed and empowered. The paper places complementary practices in the context of nursing developments in the closing decades of the twentieth century and concludes that the extent of the supporting networks that encouraged nurses to incorporate these therapies into their work was more significant than has been previously recognised and exemplifies a distinct period in the history of modern nursing.     

Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane Maria

Population and Environment - After a disaster, there is an urgent need for information on population mobility. Our analysis examines the suitability of Twitter data for measuring post-disaster...     

Towards a sociology of risk work: A narrative review and synthesis

In this article, we define the concept of “risk work,” which aims to make visible working practices to assess or manage risk, in order to subject these practices to sociological critique. This article reviews and synthesizes existing published literature to identify components of risk work: (a) translating risk into different contexts, (b) minimizing risks in practice, and (c) caring in the context of risk. We argue that these three components of risk work raise important tensions for workers that have been inadequately explored in the literature to date. We propose that future research should additionally focus on practitioner subjectivity and identity in risk work. In addition, we argue that comparative research—across type of risk and different contexts—and methodological and theoretical diversity would enhance this emerging field of research.     

A Case for the Case Study: How and Why They Matter

In this special issue we have asked the contributors to make a case for the case study. The guest editors, Jeffrey Longhofer, Jerry Floersch and Eric Hartmann, intergrate ideas from across the disciplines to explore the complexties of case study methods and theory. In education, Gary Thomas explores the importance of ethnographic case studies in understanding the relationships among schools, teachers, and students. Lance Dodes and Josh Dodes use the case study to articulate a psychoanalytic approach to addiction. In policy and generalist practice, Nancy Cartwright and Jeremy Hardie elaborate a model for a case-by-case approach to prediction and the swampy ground prediction serves up to practitioners. Christian Salas and Oliver Turnbull persuasively write about the role of the case study in neuro-psychoanalysis and illustrate it with a case vignette. In political science, Sanford Schram argues for a bottom up and ethnographic approach to studying policy implementation by describing a case of a home ownership program in Philadelphia. Eric Hartman queers the case study by articulating its role in deconstructing normative explanations of sexuality. In applied psychology, Daniel Fishman describes a comprehensive applied psychology perspective on the paradigmatic case study. Richard Miller and Miriam Jaffe offer us important ways of thinking about writing the case study and the use of multi-media. Each contributor brings a unique perspective to the use of the case study in their field, yet they share practical and philosophical assumptions.     

Newsvendor Problems with Demand Shocks and Unknown Demand Distributions

In today's competitive market, demand volume and even the underlying demand distribution can change quickly for a newsvendor seller. We refer to sudden changes in demand distribution as demand shocks. When a newsvendor seller has limited demand distribution information and also experiences underlying demand shocks, the majority of existing methods for newsvendor problems may not work well since they either require demand distribution information or assume stationary demand distribution. We present a new, robust, and effective machine learning algorithm for newsvendor problems with demand shocks but without any demand distribution information. The algorithm needs only an approximate estimate of the lower and upper bounds of demand range; no other knowledge such as demand mean, variance, or distribution type is necessary. We establish the theoretical bounds that determine this machine learning algorithm's performance in handling demand shocks. Computational experiments show that this algorithm outperforms the traditional approaches in a variety of situations including large and frequent shocks of the demand mean. The method can also be used as a meta‐algorithm by incorporating other traditional approaches as experts. Working together, the original algorithm and the extended meta‐algorithm can help manufacturers and retailers better adapt their production and inventory control decisions in dynamic environments where demand information is limited and demand shocks are frequent      

Micro-Level Intervention: A Frame of Reference and a Practice Model

This paper attempts to show that a philosophical redefinition of the locus of social problems demands a fundamental change in micro-level intervention. A framework and model are introduced that describe a reconceptualization of social work practice rooted in the social-welfare-through-social-change philosophy. Four types of worker activity provide the framework for micro- and macro-level specialization. A micro-level intervention model is then defined in terms of four practice principles: (1) accountability to the client, (2) following the demands of the client task, (3) maximizing environmental supports, and (4) proceeding from an assumption of least content.