A comparison of test statistics for the recovery of rapid growth‐based enumeration tests

This paper considers five test statistics for comparing the recovery of a rapid growth‐based enumeration test with respect to the compendial microbiological method using a specific nonserial dilution experiment. The finite sample distributions of these test statistics are unknown, because they are functions of correlated count data. A simulation study is conducted to investigate the type I and type II error rates. For a balanced experimental design, the likelihood ratio test and the main effects analysis of variance (ANOVA) test for microbiological methods demonstrated nominal values for the type I error rate and provided the highest power compared with a test on weighted averages and two other ANOVA tests. The likelihood ratio test is preferred because it can also be used for unbalanced designs. It is demonstrated that an increase in power can only be achieved by an increase in the spiked number of organisms used in the experiment. The power is surprisingly not affected by the number of dilutions or the number of test samples. A real case study is provided to illustrate the theory. Copyright © 2013 John Wiley & Sons, Ltd.     

Turbulent Times: Bloody Sunday and the Civil Rights Movement

On 30 January 1972 in Derry Northern Ireland 13 men were shot dead by British soldiers. Bloody Sunday has come to be seen to be one of the key events in the recent history of the conflict in Northern Ireland. This article is an analysis of that event and its context through a range of theoretical ideas that seek to address the processes at work through the notion of movement or flow. Mobilizing a range of concepts from theorists such as Bakhtin, Deleuze and Guattari, Delanda, Serres and Virilio, the period is understood as one characterised by disruptive turbulence in the social field. As part of this reading use is made of a number of formulations from Complexity theory to address the open and dynamic nature of the forces involved. By considering the civil rights movement and the emergence of Free Derry as moments in an ongoing attempt to de‐code and de‐territorialize the founding terms of the Unionist statelet, the article argues that the potential for radical social change was drastically halted by Bloody Sunday.     

Protest Group Success: The Impact of Group Characteristics,Social Control,and Context

Abstract

In this study we test eight hypotheses about the relative control of protesters, third parties, and elements of the situation (movement context and confrontation) over two types of protest group success: goal achievement and recognition. A path analysis indicates that two sets of protester-controlled factors decisively affect protest group success: organization and beliefs and goals. Of the two, beliefs and goals is the more significant, although bureaucracy is very important for recognition. For the most part, the impact of protester-controlled factors is not due to the reaction of third parties; however, revolutionary activism, one factor in the realm of beliefs and goals, is a notable exception. Revolutionary activism's negative association with success is largely due to suppression by third parties.     

No place called home: the causes and social consequences of the UK housing ‘bubble’

This paper examines the key causes and social consequences of the much debated UK ‘housing bubble’ and its aftermath from a multidimensional sociological approach, as opposed to the economic perspective of many popular discussions. This is a phenomenon that has affected numerous economies in the first decade of the new millennium. The discussion is based on a comprehensive study that includes exhaustive analysis of secondary data, content and debate in the mass media and academia, primary data gathered from the monitoring of weblogs and forums debating housing issues, and case histories of individuals experiencing housing difficulties during this period. This paper is intended to provide a broad overview of the key findings and preliminary analysis of this ongoing study, and is informed by a perspective which considers secure and affordable housing to be an essential foundation of stable and cohesive societies, with its absence contributing to a range of social ills that negatively impact on both individual and collective well being. Overall, it is argued that we must return to viewing decent, affordable housing as an essential social resource, that provides the bedrock of stable individual, family and community life, while recognizing that its increasing treatment as a purely economic asset is a key contributor to our so‐called ‘broken society’.     

Development of an integrated information management model: A case of textile industry

For past two decades many organisations have tried to implement integrated information management systems for better production management based on co-ordination of information and therefore activities of different departments. Although Enterprise Resource Planning systems have been in the market for the past decade, many industries find it difficult to implement such systems due to the amount of work involved in streamlining the documentation, customisation and of high costs reported in implementation. An attempt is made through this paper to propose an integrated model, which can be easily understood by production personnel, with specific emphasis on the textile sector.     

A simplified proof of a theorem on the difference of the moore–penrose inverses of two positive semi–difinte matrices

Simplified proofs are given of a standard result that establishes positive semi–definiteness of the difference of the inverses of two non–singular matrices, and of the extension of this result by Milliken and Akdeniz (1977) to the difference of the Moore–Penrose inverse of two singular matrices.     

A nonparametric bayesian approach to analysis of drug dependence data

In this paper, a nonparametric Bayesian approach to the analysis of binary response data is considered. Using a Dirichlet process prior, and squared error loss, the Bayes estimators of response probabilities are obtained. Finally, the results obtained are employed to analyze the ARC 090 Trial data.