884 resultados para Knowledge-based urban development


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With appropriate planning and design, Olympic urban development has the potential to leave positive environmental legacies to the host city and contribute to environmental sustainability. This book explains how a modern Olympic games can successfully develop a more sustainable design approach by learning from the lessons of the past and by taking account of the latest developments. It offers an assessment tool that can be tailored to individual circumstances – a tool which emerges from the analysis of previous summer games host cities and from techniques in environmental analysis and assessment.

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This paper reports the findings of research into the representation of local interests in area-based urban regeneration programmes in Northern Ireland and the Republic of Ireland. The two case studies are contextualised by a review of the promotion of public participation in urban regeneration in both parts of Ireland and theorised as a site of interaction between state agencies and civil society. It is argued that the practice of public participation is a hegemonic project, which, within urban regeneration, is operationalised through partnership structures. The paper concludes that many factors from within and outside the case study programmes affected their consultation processes. Therefore the design and implementation of regeneration programmes should be undertaken in the context of an understanding of the relationship between the state and civil society in the empirical case.

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In this paper we describe how an evidential-reasoner can be used as a component of risk assessment of engineering projects using a direct way of reasoning. Guan & Bell (1991) introduced this method by using the mass functions to express rule strengths. Mass functions are also used to express data strengths. The data and rule strengths are combined to get a mass distribution for each rule; i.e., the first half of our reasoning process. Then we combine the prior mass and the evidence from the different rules; i.e., the second half of the reasoning process. Finally, belief intervals are calculated to help in identifying the risks. We apply our evidential-reasoner on an engineering project and the results demonstrate the feasibility and applicability of this system in this environment.

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The implementation of effective time analysis methods fast and accurately in the era of digital manufacturing has become a significant challenge for aerospace manufacturers hoping to build and maintain a competitive advantage. This paper proposes a structure oriented, knowledge-based approach for intelligent time analysis of aircraft assembly processes within a digital manufacturing framework. A knowledge system is developed so that the design knowledge can be intelligently retrieved for implementing assembly time analysis automatically. A time estimation method based on MOST, is reviewed and employed. Knowledge capture, transfer and storage within the digital manufacturing environment are extensively discussed. Configured plantypes, GUIs and functional modules are designed and developed for the automated time analysis. An exemplar study using an aircraft panel assembly from a regional jet is also presented. Although the method currently focuses on aircraft assembly, it can also be well utilized in other industry sectors, such as transportation, automobile and shipbuilding. The main contribution of the work is to present a methodology that facilitates the integration of time analysis with design and manufacturing using a digital manufacturing platform solution.

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This paper reports on an ongoing, multiphase, project-based action learning and research project. In particular, it summarizes some aspects of the learning climate and outcomes for a case study company In the software industry, Using a participatory action research approach, the learning company framework developed by Pedler et al, (1997) is used to initiate critical reflection in the company at three levels: managing director, senior management team and technical and professional staff. As such, this is one of the first systematic attempts to apply this framework to the entire organization and to a company in the knowledge-based learning economy. Two sets of issues are of general concern to the company: internal issues surrounding the company's reward and recognition policies and practices and the provision of accounting and control information in a business relevant way to all levels of staff; and external issues concerning the extent to which the company and its members actively learn from other companies and effectively capture, disseminate and use information accessed by staff in boundary-spanning roles. The paper concludes with some illustrations of changes being introduced by the company as a result of the feedback on and discussion of these issues.

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BACKGROUND
Social disadvantage can have a significant impact on early child development, health and wellbeing. What happens during this critical period is important for all aspects of development. Caregiving competence and the quality of the environment play an important role in supporting development in young children and parents have an important role to play in optimising child development and mitigating the negative effects of social disadvantage. Home-based child development programmes aim to optimise children's developmental outcomes through educating, training and supporting parents in their own home to provide a more nurturing and stimulating environment for their child.

OBJECTIVES
To determine the effects of home-based programmes aimed specifically at improving developmental outcomes for preschool children from socially disadvantaged families.

SEARCH STRATEGY
We searched the following databases between 7 October and 12 October 2010: Cochrane Central Register of Controlled Trials (CENTRAL) (2010, Issue 4), MEDLINE (1950 to week 4, September 2010), EMBASE (1980 to Week 39, 2010), CINAHL (1937 to current), PsycINFO (1887 to current), ERIC (1966 to current), ASSIA (1987 to current), Sociological Abstracts (1952 to current), Social Science Citation Index (1970 to current). We also searched reference lists of articles.

SELECTION CRITERIA
Randomised controlled trials comparing home-based preschool child development interventions with a 'standard care' control. Participants were parents with children up to the age of school entry who were socially disadvantaged in respect of poverty, lone parenthood or ethnic minority status.

DATA COLLECTION AND ANALYSIS
Two authors independently selected studies, assessed the trials' risk of bias and extracted data.

RESULTS
We included seven studies, which involved 723 participants. We assessed four of the seven studies as being at high risk of bias and three had an unclear risk of bias; the quality of the evidence was difficult to assess as there was often insufficient detail reported to enable any conclusions to be drawn about the methodological rigour of the studies. Four trials involving 285 participants measured cognitive development and we synthesised these data in a meta-analysis. Compared to the control group, there was no statistically significant impact of the intervention on cognitive development (standardised mean difference (SMD) 0.30; 95% confidence interval -0.18 to 0.78). Only three studies reported socioemotional outcomes and there was insufficient data to combine into a meta-analysis. No study reported on adverse effects.

AUTHORS’ CONCLUSIONS
This review does not provide evidence of the effectiveness of home-based interventions that are specifically targeted at improving developmental outcomes for preschool children from socially disadvantaged families. Future studies should endeavour to better document and report their methodological processes.