Last charge of the knights? Iraq, Afghanistan and the special relationship

At the heart of the ‘special relationship’ ideology, there is supposed to be a grand bargain. In exchange for paying the ‘blood price’ as America's ally, Britain will be rewarded with exceptional influence over American foreign policy and its strategic behaviour. Soldiers and statesman continue to articulate this idea. Since 9/11, the notion of Britain playing ‘Greece’ to America's ‘Rome’ gained new life thanks to Anglophiles on both sides of the Atlantic. One potent version of this ideology was that the more seasoned British would teach Americans how to fight ‘small wars’ in Iraq and Afghanistan, thereby bolstering their role as tutor to the superpower. Britain does derive benefits from the Anglo-American alliance and has made momentous contributions to the wars in Afghanistan and Iraq. Yet British solidarity and sacrifices have not purchased special influence in Washington. This is partly due to Atlanticist ideology, which sets Britain unrealistic standards by which it is judged, and partly because the notion of ‘special influence’ is misleading as it loses sight of the complexities of American policy-making. The overall result of expeditionary wars has been to strain British credibility in American eyes and to display its lack of consistent influence both over high policy and the design and execution of US military campaigns. While there may be good arguments in favour of the UK continuing its efforts in Afghanistan, the notion that the war fortifies Britain's vicarious world status is a dangerous illusion that leads to repeated overstretch and disappointment. Now that Britain is in the foothills of a strategic defence review, it is important that the British abandon this false consciousness.

New advances in aircraft MRO services: data mining enhancement

Aircraft Maintenance, Repair and Overhaul (MRO) agencies rely largely on row-data based quotation systems to select the best suppliers for the customers (airlines). The data quantity and quality becomes a key issue to determining the success of an MRO job, since we need to ensure we achieve cost and quality benchmarks. This paper introduces a data mining approach to create an MRO quotation system that enhances the data quantity and data quality, and enables significantly more precise MRO job quotations. Regular Expression was utilized to analyse descriptive textual feedback (i.e. engineer’s reports) in order to extract more referable highly normalised data for job quotation. A text mining based key influencer analysis function enables the user to proactively select sub-parts, defects and possible solutions to make queries more accurate. Implementation results show that system data would improve cost quotation in 40% of MRO jobs, would reduce service cost without causing a drop in service quality.

Women, other "fresh” workers, and the new manufacturing workforce of interwar Britain

Structural, organizational, and technological changes in British industry during the interwar years led to a decline in skilled and physically demanding work, while there was a dramatic expansion in unskilled and semiskilled employment. Previous authors have noted that the new un/semiskilled jobs were generally filled by “fresh” workers recruited from outside the core manufacturing workforce, though there is considerable disagreement regarding the composition of this new workforce. This paper examines labour recruitment patterns and strategies using national data and case studies of eight rapidly expanding industrial centres. The new industrial workforce is shown to have been recruited from a “reserve army” of workers with the common features of relative cheapness, flexibility, and weak unionization. These included women, juveniles, local workers in poorly paid nonindustrial sectors, such as agriculture, and (where these other categories were in short supply) relatively young long-distance internal migrants from declining industrial areas.

The economic theory of international business: a supply chain perspective

This paper proposes a way of addressing unresolved issues in international business theory by modelling the multinational enterprise as a coordinator of supply chains. It identifies a new market seeking strategy that is an alternative to conventional strategies such as exporting, licensing and FDI, and analyses the conditions under which it will be adopted by firms. The new strategy involves the off-shoring of production and the out-sourcing of R&D, and is implemented through co-operation between a source country firm and a host country firm.

An overview of domestic energy models and a new approach with agent based modelling

Government targets for CO2 reductions are being progressively tightened, the Climate Change Act set the UK target as an 80% reduction by 2050 on 1990 figures. The residential sector accounts for about 30% of emissions. This paper discusses current modelling techniques in the residential sector: principally top-down and bottom-up. Top-down models work on a macro-economic basis and can be used to consider large scale economic changes; bottom-up models are detail rich to model technological changes. Bottom-up models demonstrate what is technically possible. However, there are differences between the technical potential and what is likely given the limited economic rationality of the typical householder. This paper recommends research to better understand individuals’ behaviour. Such research needs to include actual choices, stated preferences and opinion research to allow a detailed understanding of the individual end user. This increased understanding can then be used in an agent based model (ABM). In an ABM, agents are used to model real world actors and can be given a rule set intended to emulate the actions and behaviours of real people. This can help in understanding how new technologies diffuse. In this way a degree of micro-economic realism can be added to domestic carbon modelling. Such a model should then be of use for both forward projections of CO2 and to analyse the cost effectiveness of various policy measures.

PDM 2006: Proceedings of the International Workshop on Data Mining

Recently major processor manufacturers have announced a dramatic shift in their paradigm to increase computing power over the coming years. Instead of focusing on faster clock speeds and more powerful single core CPUs, the trend clearly goes towards multi core systems. This will also result in a paradigm shift for the development of algorithms for computationally expensive tasks, such as data mining applications. Obviously, work on parallel algorithms is not new per se but concentrated efforts in the many application domains are still missing. Multi-core systems, but also clusters of workstations and even large-scale distributed computing infrastructures provide new opportunities and pose new challenges for the design of parallel and distributed algorithms. Since data mining and machine learning systems rely on high performance computing systems, research on the corresponding algorithms must be on the forefront of parallel algorithm research in order to keep pushing data mining and machine learning applications to be more powerful and, especially for the former, interactive. To bring together researchers and practitioners working in this exciting field, a workshop on parallel data mining was organized as part of PKDD/ECML 2006 (Berlin, Germany). The six contributions selected for the program describe various aspects of data mining and machine learning approaches featuring low to high degrees of parallelism: The first contribution focuses the classic problem of distributed association rule mining and focuses on communication efficiency to improve the state of the art. After this a parallelization technique for speeding up decision tree construction by means of thread-level parallelism for shared memory systems is presented. The next paper discusses the design of a parallel approach for dis- tributed memory systems of the frequent subgraphs mining problem. This approach is based on a hierarchical communication topology to solve issues related to multi-domain computational envi- ronments. The forth paper describes the combined use and the customization of software packages to facilitate a top down parallelism in the tuning of Support Vector Machines (SVM) and the next contribution presents an interesting idea concerning parallel training of Conditional Random Fields (CRFs) and motivates their use in labeling sequential data. The last contribution finally focuses on very efficient feature selection. It describes a parallel algorithm for feature selection from random subsets. Selecting the papers included in this volume would not have been possible without the help of an international Program Committee that has provided detailed reviews for each paper. We would like to also thank Matthew Otey who helped with publicity for the workshop.

New perspectives on transfer among bilinguals and L2 users

This is a special issue of the International Journal of Bilingualism. This special issue brings together approaches to transfer in L2 learners, bilinguals, multilinguals and attriters. Researchers working in SLA are often unaware of research done on transfer in bilinguals and vice versa, and this special issue bridges important gaps between researchers from a range of fields.