7 resultados para 988

em Aston University Research Archive


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In the IS literature, commitment is typically considered to involve organizational or managerial support for a system and not that of its users. This paper however reports on a field study involving 16 organizations that attempted to build user involvement in developing a knowledge management strategy by having them design it. Twenty-two IT-supported group workshops (involving 183 users) were run to develop action plans for better knowledge management that users would like to see implemented. Each workshop adopted the same problem structuring technique to assist group members develop a politically feasible action plan to which they were psychologically and emotionally dedicated. In addition to reviewing the problem structuring method, this paper provides qualitative insight into the factors a knowledge management strategy should have to encourage user commitment. © 2004 Elsevier B.V. All rights reserved.

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A simple protein-DNA interaction analysis has been developed using both a high-affinity/high-specificity zinc finger protein and a low-specificity zinc finger protein with nonspecific DNA binding capability. The latter protein is designed to mimic background binding by proteins generated in randomized or shuffled gene libraries. In essence, DNA is immobilized onto the surface of microplate wells via streptavidin capture, and green fluorescent protein (GFP)-labeled protein is added in solution as part of a crude cell lysate or protein mixture. After incubation and washing, bound protein is detected in a standard microplate reader. The minimum sensitivity of the assay is approximately 0.4 nM protein. The assay format is ideally suited to investigate the interactions of DNA binding proteins from within crude cell extracts and/or mixtures of proteins that may be encountered in protein libraries generated by codon randomization or gene shuffling.

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Shropshire Energy Team initiated this study to examine consumption and associated emissions in the predominantly rural county of Shropshire. Current use of energy is not sustainable in the long term and there are various approaches to dealing with the environmental problems it creates. Energy planning by a local authority for a sustainable future requires detailed energy consumption and environmental information. This information would enable target setting and the implementation of policies designed to encourage energy efficiency improvements and exploitation of renewable energy resources. This could aid regeneration strategies by providing new employment opportunities. Associated reductions in carbon dioxide and other emissions would help to meet national and international environmental targets. In the absence of this detailed information, the objective was to develop a methodology to assess energy consumption and emissions on a regional basis from 1990 onwards for all local planning authorities. This would enable a more accurate assessment of the relevant issues, such that plans are more appropriate and longer lasting. A first comprehensive set of data has been gathered from a wide range of sources and a strong correlation was found between population and energy consumption for a variety of regions across the UK. In this case the methodology was applied to the county of Shropshire to give, for the first time, estimates of primary fuel consumption, electricity consumption and associated emissions in Shropshire for 1990 to 2025. The estimates provide a suitable baseline for assessing the potential contribution renewable energy could play in meeting electricity demand in the country and in reducing emissions. The assessment indicated that in 1990 total primary fuel consumption was 63,518,018 GJ/y increasing to 119,956,465 GJ/y by 2025. This is associated with emissions of 1,129,626 t/y of carbon in 1990 rising to 1,303,282 t/y by 2025. In 1990, 22,565,713 GJ/y of the primary fuel consumption was used for generating electricity rising to 23,478,050 GJ/y in 2025. If targets to reduce primary fuel consumption are reached, then emissions of carbon would fall to 1,042,626 by 2025, if renewable energy targets were also reached then emissions of carbon would fall to 988,638 t/y by 2025.

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As a result of exclusionary tactics, social, cultural or economic disadvantage or disability, vast numbers of pupils have poor educational experiences and are either marginalised or demonised due to 'difficult differences'. In the context of Martha Nussbaum's capabilities approach, where she suggests that we ought to be who we want to be, this paper addresses intellectual disability, inclusion and inclusive education. It proposes that care, compassion, creativity and ethics are critical in understanding the education for all children and young people, rather than necessarily pedagogical process. In addition, it suggests that learning should take place within and through relationships and that these relationships are important in developing a healthy sense of self. Therefore politically, rather than following a path of blame whether it is the dysfunctional family, the deficit child or the economically deprived nation, this paper says that we require socially just practices, compassion and care as fundamental to human development, social inclusion and inclusive education. Ultimately, education is failing a large sum of children and young people and therefore needs to be radically reconsidered.

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Humans consciously and subconsciously establish various links, emerge semantic images and reason in mind, learn linking effect and rules, select linked individuals to interact, and form closed loops through links while co-experiencing in multiple spaces in lifetime. Machines are limited in these abilities although various graph-based models have been used to link resources in the cyber space. The following are fundamental limitations of machine intelligence: (1) machines know few links and rules in the physical space, physiological space, psychological space, socio space and mental space, so it is not realistic to expect machines to discover laws and solve problems in these spaces; and, (2) machines can only process pre-designed algorithms and data structures in the cyber space. They are limited in ability to go beyond the cyber space, to learn linking rules, to know the effect of linking, and to explain computing results according to physical, physiological, psychological and socio laws. Linking various spaces will create a complex space — the Cyber-Physical-Physiological-Psychological-Socio-Mental Environment CP3SME. Diverse spaces will emerge, evolve, compete and cooperate with each other to extend machine intelligence and human intelligence. From multi-disciplinary perspective, this paper reviews previous ideas on various links, introduces the concept of cyber-physical society, proposes the ideal of the CP3SME including its definition, characteristics, and multi-disciplinary revolution, and explores the methodology of linking through spaces for cyber-physical-socio intelligence. The methodology includes new models, principles, mechanisms, scientific issues, and philosophical explanation. The CP3SME aims at an ideal environment for humans to live and work. Exploration will go beyond previous ideals on intelligence and computing.

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Dynamic asset rating (DAR) is one of the number of techniques that could be used to facilitate low carbon electricity network operation. Previous work has looked at this technique from an asset perspective. This paper focuses, instead, from a network perspective by proposing a dynamic network rating (DNR) approach. The models available for use with DAR are discussed and compared using measured load and weather data from a trial network area within Milton Keynes in the central area of the U.K. This paper then uses the most appropriate model to investigate, through a network case study, the potential gains in dynamic rating compared to static rating for the different network assets - transformers, overhead lines, and cables. This will inform the network operator of the potential DNR gains on an 11-kV network with all assets present and highlight the limiting assets within each season.

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OBJECTIVE: Current data about the prevalence and characteristics of dizziness in the paediatric population is very limited and the generalisability of extant studies to the UK population has not been explored. Our study aims to provide a robust estimate of the prevalence of dizziness in 10 year old children in the UK, to describe the characteristics of this dizziness and to explore whether this dizziness is socially patterned. METHODS: Data from the Avon Longitudinal Study of Parents and Children (ALSPAC) was analysed (N=13,988). A total of 6965 of these children attended for a balance assessment session at age 10. Those who reported rotary vertigo were interviewed about their symptoms. Logistic regression was used to explore whether dizziness at age 10 is socially patterned. RESULTS: A total of 400 children reported rotary vertigo, giving a prevalence estimate of 5.7% [CI 5.2, 6.3%]. 13.1-20.6% of children reported experiencing their dizziness between 1 and 4 times a week (depending on the symptom). 51.5% of children had to stop what they were doing because of the dizziness making them feel unwell. A total of 60% of children reported headache as an accompanying symptom, tentatively suggesting a diagnosis of migraine, although there was no association between reports of headache and a maternal family history of migraine. 20.3% of children with dizziness also reported tinnitus and 17.3% reported that their hearing changed when they were dizzy. CONCLUSIONS: Dizziness in 10 year old children is not uncommon and in about half limits current activities. Rotary vertigo is commonly accompanied by dizziness of another description and also by headache. There is no evidence that dizziness at this age is socially patterned.