974 resultados para Griffith Graduate Project


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Submergence of land is a major impact of large hydropower projects. Such projects are often also dogged by siltation, delays in construction and heavy debt burdens-factors that are not considered in the project planning exercise. A simple constrained optimization model for the benefit~ost analysis of large hydropower projects that considers these features is proposed. The model is then applied to two sites in India. Using the potential productivity of an energy plantation on the submergible land is suggested as a reasonable approach to estimating the opportunity cost of submergence. Optimum project dimensions are calculated for various scenarios. Results indicate that the inclusion of submergence cost may lead to a substanual reduction in net present value and hence in project viability. Parameters such as project lifespan, con$truction time, discount rate and external debt burden are also of significance. The designs proposed by the planners are found to be uneconomic, whIle even the optimal design may not be viable for more typical scenarios. The concept of energy opportunity cost is useful for preliminary screening; some projects may require more detailed calculations. The optimization approach helps identify significant trade-offs between energy generation and land availability.

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The nucleotide sequence of cosmid B1790, carrying the Rif-Str regions of the Mycobacterium leprae chromosome, has been determined. Twelve open reading frames were identified in the 36716bp sequence, representing 40% of the coding capacity. Five ribosomal proteins, two elongation factors and the β and β'subunits of RNA polymerase have been characterized and two novel genes were found. One of these encodes a member of the so-called ABC family of ATP-binding proteins while the other appears to encode an enzyme involved in repairing genomic lesions caused by free radicals. This finding may well be significant as M. leprae, an intracellular pathogen, lives within macrophages.

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Leadership without the full participation of women not only excludes women individually and collectively, but is also a huge waste of talent, knowledge and expertise. And crucially, given the current state of society and the world, this aspect of gender inequality is likely to become even more important in the future. NASTA - Women’s Leadership: A Research and Education Development Project was established in 2005 as a national multi-university project mainly and generously funded by Finnish Ministry of Education. The project aims at producing new knowledge and increasing understanding about women’s leadership, as well as promoting women’s leadership through research, development of teaching, and public outreach. NASTA is a joint effort of three Finnish universities – Hanken School of Economics, University of Jyväskylä School of Business and Economics, and the Helsinki School of Economics (now part of Aalto University) – and has been coordinated by Hanken. This report presents research and activities conducted within and around the project. NASTA activities have been many and various. They have examined the position and experiences of women in relation to leadership, management, organisation and work more generally. They have sought new knowledge about gender and leadership, on women leaders’ values, attitudes and behaviour, as well as about values, attitudes and behaviour in relation to women’s leadership. NASTA activities have included teaching, student supervision, research theses, research projects, publishing, networking, seminars, meetings, an international conference, and knowledge transfer into other sectors of society. The first section of the book introduces NASTA joint projects, including web-based teaching material, a survey of gender staffing and teaching on gender in business schools, critical review of previous research literature, and new empirical research. The next section includes research articles on different aspects of gender, leadership and manage¬¬ment from more individual projects conducted by participating researchers and research groups linked to NASTA across the three universities. The final section includes short presentations of other research in progress. The appendix lists publications by NASTA members – journal articles, research reports, books, chapters, journal special issues, popular journal articles, magazine articles - and masters, licentiate and doctoral theses that have been produced. These matters of women, leadership and management are not simply academic concerns but urgent matters for practice, organisations, management, policy, and society more generally.

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Management of large projects, especially the ones in which a major component of R&D is involved and those requiring knowledge from diverse specialised and sophisticated fields, may be classified as semi-structured problems. In these problems, there is some knowledge about the nature of the work involved, but there are also uncertainties associated with emerging technologies. In order to draw up a plan and schedule of activities of such a large and complex project, the project manager is faced with a host of complex decisions that he has to take, such as, when to start an activity, for how long the activity is likely to continue, etc. An Intelligent Decision Support System (IDSS) which aids the manager in decision making and drawing up a feasible schedule of activities while taking into consideration the constraints of resources and time, will have a considerable impact on the efficient management of the project. This report discusses the design of an IDSS that helps in project planning phase through the scheduling phase. The IDSS uses a new project scheduling tool, the Project Influence Graph (PIG).

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Two new statistics, namely Delta(chi 2) and Delta(chi), based on the extreme value theory, were derived by Gupta et al. We use these statistics to study the direction dependence in the HST Key Project data, which provides one of the most precise measurements of the Hubble constant. We also study the non-Gaussianity in this data set using these statistics. Our results for Delta(chi 2) show that the significance of direction-dependent systematics is restricted to well below the 1 sigma confidence limit; however, the presence of non-Gaussian features is subtle. On the other hand, the Delta(chi). statistic, which is more sensitive to direction dependence, shows direction dependence systematics to be at a slightly higher confidence level, and the presence of non-Gaussian features at a level similar to the Delta(chi 2) statistic.