898 resultados para Centre for Nano Science and Engineering
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Mode of access: Internet.
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Includes indexes.
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"No. 49."
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"No. 80."
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"No. 107."
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Committee chairman: James D. Watkins.
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Shipping list no.: 88-100-P.
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"No. 170."
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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The status of Science and Technology in KUWAIT has been analysed in order to assess the extent of the application of Science and Technology needed for the Country's development. The design and implementation of a Science and Technology Policy has been examined to identify the appropriate technology necessary to improve KUWAIT's socio-economic-industrial structures. Following a general and critical review of the role of Science and Technology in the developing countries, the author has reviewed the past and contemporary employment of Science and Technology for development.of various sectors and the existence, if any, of any form (explicit, implicit, or both) of a Science and Technology Policy in KUWAIT. The thesis is structured to evaluate almost all of the sectors in KUWAIT which utilise Science and/or Technology, the effectiveness of such practices, their policymaking process, the channels by which policies were transformed into sources of influence through Governmental action and the impact that various policy instruments at the disposal of the the Government had on the development of S & T capabilities. The author has studied the implications of the absence of a Science and Technology Policy in Kuwait by examining some specific case studies, eg, the absence of a Technology Assessment Process and the negative impacts resulting from this; the ad-hoc allocation of the research and development budget instead of its being based on a percentage of GNP; the limitations imposed on the development of indigenous contracting companies and consultancy and engineering design offices; the impacts of the absence of Technology Transfer Centre, and so forth. As a consequence of the implications of the above studies, together with the negative results from the absence of an explicit Science and Technology Policy, eg, research and development activities do not relate to the national development plans, the author suggests that a Science and Technology Policy-Making Body should be established to formulate, develop, monitor and correlate the Science and Technology Activities in KUWAIT.
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For the past several years, U.S. colleges and universities have faced increased pressure to improve retention and graduation rates. At the same time, educational institutions have placed a greater emphasis on the importance of enrolling more students in STEM (science, technology, engineering and mathematics) programs and producing more STEM graduates. The resulting problem faced by educators involves finding new ways to support the success of STEM majors, regardless of their pre-college academic preparation. The purpose of my research study involved utilizing first-year STEM majors’ math SAT scores, unweighted high school GPA, math placement test scores, and the highest level of math taken in high school to develop models for predicting those who were likely to pass their first math and science courses. In doing so, the study aimed to provide a strategy to address the challenge of improving the passing rates of those first-year students attempting STEM-related courses. The study sample included 1018 first-year STEM majors who had entered the same large, public, urban, Hispanic-serving, research university in the Southeastern U.S. between 2010 and 2012. The research design involved the use of hierarchical logistic regression to determine the significance of utilizing the four independent variables to develop models for predicting success in math and science. The resulting data indicated that the overall model of predictors (which included all four predictor variables) was statistically significant for predicting those students who passed their first math course and for predicting those students who passed their first science course. Individually, all four predictor variables were found to be statistically significant for predicting those who had passed math, with the unweighted high school GPA and the highest math taken in high school accounting for the largest amount of unique variance. Those two variables also improved the regression model’s percentage of correctly predicting that dependent variable. The only variable that was found to be statistically significant for predicting those who had passed science was the students’ unweighted high school GPA. Overall, the results of my study have been offered as my contribution to the literature on predicting first-year student success, especially within the STEM disciplines.