Strange journey : the life of Dorothy Eckersley

Three days before the outbreak of the Second World War, William Joyce, the leader of the British Nazi group, the National Socialist League, was in Berlin. He and his wife, Margaret, had fled there fearing internment by the British government if war broke out. Yet as war drew nearer, Joyce was unsure whether to return to Britain or not. But a meeting that day sealed his fate, leading to years of broadcasting for German radio, notoriety as ‘Lord Haw Haw', and his execution for treason in January 1946. The meeting was accidental, with the Joyces bumping into one of his English supporters - Mrs Frances ‘Dorothy' Eckersley - in a Berlin restaurant. Dorothy Eckersley was surprised to see Joyce, to whom she had recently sent £50 to help the NSL find a new headquarters in London. Now, having a far better network of friends and acquaintances in Berlin than the almost friendless Joyces, she was able to put him in touch with officials who recruited Joyce to the radio propaganda microphone. And by the end of 1939, Dorothy, and her son, James, would join the English language team broadcasting German propaganda to the UK. At 46, Dorothy had already led an extraordinary life that had taken her from the stage in America to the microphone in Berlin, marriage with one of the most gifted radio engineers of the time, and years of political activism with the radical socialist Independent Labour Party. Yet now she was a committed follower of Hitler and a national socialist..

Community Policing and Intelligence-Led Policing: An Examination of Convergent or Discriminant Validity

Purpose Despite increased scholarly inquiry regarding intelligence-led policing (ILP) and popularity among law enforcement agencies around the globe, ambiguity remains regarding the conceptual foundation and appropriate measurement of ILP. Although most scholars agree that ILP is indeed a unique policing philosophy, there is less consensus regarding the relationship between ILP and the ever-present model of community-oriented policing (COP). Consequently, there is a clear need to study the empirical distinctions and overlaps in these policing philosophies as implemented by US law enforcement agencies. The paper aims to discuss these issues. Design/methodology/approach Data were gleaned from the 2007 LEMAS and 2009 NIJ Intelligence surveys. A total of 227 unique police agencies in the USA are included. A series of bivariate, exploratory factor analyses and structural models are used to determine discriminatory or convergent validity across COP and ILP constructs. Findings The goal was to answer the question: are these two policing philosophies are being implemented as separate and distinct strategies? Results of our exploratory and structural models indicate that COP and ILP loaded on unique latent constructs. This affirms the results of the bivariate correlations, and indicates that COP and ILP have discriminant measurement validity. In other words, COP and ILP are conceptually distinct, even when implemented in police departments across the USA. Implications of these findings and suggestions for future research are discussed. Originality/value This is the first study to empirically test the discriminant or convergent validity of COP and ILP

Efficient Bayesian Inference for Learning in the Ising Linear Perceptron and Signal Detection in CDMA

Efficient new Bayesian inference technique is employed for studying critical properties of the Ising linear perceptron and for signal detection in Code Division Multiple Access (CDMA). The approach is based on a recently introduced message passing technique for densely connected systems. Here we study both critical and non-critical regimes. Results obtained in the non-critical regime give rise to a highly efficient signal detection algorithm in the context of CDMA; while in the critical regime one observes a first order transition line that ends in a continuous phase transition point. Finite size effects are also studied.Comment: 11 pages, 3 figure

Offenders and E-Learning - a literature review on behalf of Becta

This literature review has been prepared by the Hallam Centre of Community Justice at Sheffield Hallam University, on behalf of Becta. The literature review provides a summary of existing research and knowledge relating to e-learning in the offending learning sector with a view to developing a range of e-maturity indicators across the sector. The review also highlights linkages with current Government policy in relation to offender learning and skills

Evaluating distributed generation impacts with a multiobjective index

Evaluating the technical impacts associated with connecting distributed generation to distribution networks is a complex activity requiring a wide range of network operational and security effects to be qualified and quantified. One means of dealing with such complexity is through the use of indices that indicate the benefit or otherwise of connections at a given location and which could be used to shape the nature of the contract between the utility and distributed generator. This paper presents a multiobjective performance index for distribution networks with distributed generation which considers a wide range of technical issues. Distributed generation is extensively located and sized within the IEEE-34 test feeder, wherein the multiobjective performance index is computed for each configuration. The results are presented and discussed

Value-based argumentation frameworks as neural-symbolic learning systems

While neural networks have been successfully used in a number of machine learning applications, logical languages have been the standard for the representation of argumentative reasoning. In this paper, we establish a relationship between neural networks and argumentation networks, combining reasoning and learning in the same argumentation framework. We do so by presenting a new neural argumentation algorithm, responsible for translating argumentation networks into standard neural networks. We then show a correspondence between the two networks. The algorithm works not only for acyclic argumentation networks, but also for circular networks, and it enables the accrual of arguments through learning as well as the parallel computation of arguments