889 resultados para Ferguson, Kent


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This paper presented results from a details and comprehensive simulation using finite element method of the practical operation of an electrical machine. The results it displayed have been used in practice to design more efficient equipment.

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This paper examines the relative efficiency of UK credit unions. Radial and non-radial measures of input cost efficiency plus associated scale efficiency measures are computed for a selection of input output specifications. Both measures highlighted that UK credit unions have considerable scope for efficiency gains. It was mooted that the documented high levels of inefficiency may be indicative of the fact that credit unions, based on clearly defined and non-overlapping common bonds, are not in competition with each other for market share. Credit unions were also highlighted as suffering from a considerable degree of scale inefficiency with the majority of scale inefficient credit unions subject to decreasing returns to scale. The latter aspect highlights that the UK Government's goal of larger credit unions must be accompanied by greater regulatory freedom if inefficiency is to be avoided. One of the advantages of computing non-radial measures is that an insight into potential over- or under-expenditure on specific inputs can be obtained through a comparison of the non-radial measure of efficiency with the associated radial measure. Two interesting findings emerged, the first that UK credit unions over-spend on dividend payments and the second that they under-spend on labour costs.

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In 1998 a historic agreement, commonly known as the Belfast or Good Friday Agreement, formed the basis of a negotiated settlement for the future of Northern Ireland. Since that time the level of violence in Northern Ireland has reduced but many problematic issues related to governance, sectarianism, and community relations remain on the political agenda and have destabilized the post-peace accord environment. Many of these issues can be viewed as either causes or consequences of the protracted conflict in Northern Ireland. This special issue examines some of these issues from a political psychology perspective. Economic, political, social, and psychological factors that have supported and hindered progress towards peace and stability are considered. While the paramilitary ceasefires have remained intact and certain aspects of life in Northern Ireland have been transformed, the road to peace has been hindered by both political and psychological intransigence. This paper offers an opportunity to reevaluate conceptualisations of conflict and its management in chronic situations, where divisions are deeply embedded within societal structures and relationships, and consider factors that may act as barriers to the development of a lasting peace.

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Eleven minisatellite DNA locus specific probes, isolated from Atlantic salmon (Salmo salar) and brown trout (Salmo trutta) partial genomic DNA libraries, were tested for cross-hybridization to eleven other salmonid species, i.e. sockeye salmon (Oncorhynchus nerka); coho salmon (O. kisutch), chum salmon (O. keta); pink salmon (O. gorbuscha); chinook salmon (O. tshawytscha); rainbow trout (O. mykiss); brook trout (Salvelinus fontinalis); Arctic charr (S. alpinus); grayling (Thymallus thymallus); huchen (Hucho hucho); pollan (Coregonus autumnalis). Simple single locus profiles for each of these species were revealed by, from two to ten SLPs. These markers are likely to be of great value in addressing several problems in aquaculture of these species.

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Se propone un planteamiento teórico/conceptual para determinar si las relaciones interorganizativas e interpersonales de la netchain de las cooperativas agroalimentarias evolucionan hacia una learning netchain. Las propuestas del trabajo muestran que el mayor grado de asociacionismo y la mayor cooperación/colaboración vertical a lo largo de la cadena están positivamente relacionados con la posición horizontal de la empresa focal más cercana del consumidor final. Esto requiere una planificación y una resolución de problemas de manera conjunta, lo que está positivamente relacionado con el mayor flujo y diversidad de la información/conocimiento obtenido y diseminado a lo largo de la netchain. Al mismo tiempo se necesita desarrollar un contexto social en el que fluya la información/conocimiento y las nuevas ideas de manera informal y esto se logra con redes personales y, principalmente, profesionales y con redes internas y, principalmente, externas. Todo esto permitirá una mayor satisfacción de los socios de la cooperativa agroalimentaria y de sus distribuidores y una mayor intensidad en I+D, convirtiéndose la netchain de la cooperativa agroalimentaria, así, en una learning netchain.

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This paper provides a quantitative and qualitative analysis of the profile of the entrepreneur who decides to start business through a labor society in the context of the Autonomous Community of Andalucia. Thus, first the Social Economy is presented as an important alternative to creating and promoting employment, which seeks to combine economic and social objectives in the development of activities. Subsequently, focusing on labor companies, updated its importance in the regional economy for later data and through the analysis of two samples are available, set the attributes or most significant characteristics of these entrepreneurs.

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This paper presents a novel approach based on the use of evolutionary agents for epipolar geometry estimation. In contrast to conventional nonlinear optimization methods, the proposed technique employs each agent to denote a minimal subset to compute the fundamental matrix, and considers the data set of correspondences as a 1D cellular environment, in which the agents inhabit and evolve. The agents execute some evolutionary behavior, and evolve autonomously in a vast solution space to reach the optimal (or near optima) result. Then three different techniques are proposed in order to improve the searching ability and computational efficiency of the original agents. Subset template enables agents to collaborate more efficiently with each other, and inherit accurate information from the whole agent set. Competitive evolutionary agent (CEA) and finite multiple evolutionary agent (FMEA) apply a better evolutionary strategy or decision rule, and focus on different aspects of the evolutionary process. Experimental results with both synthetic data and real images show that the proposed agent-based approaches perform better than other typical methods in terms of accuracy and speed, and are more robust to noise and outliers.