23 research outputs found

    SCHOOL TYPE INFLUENCE ON THE LEVELS OF STRESS AMONG THE SECONDARY SCHOOL ADMINISTRATORS IN NAKURU COUNTY, KENYA

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    The stress level among the secondary school administrators is relatively associated with the amount of work in different type of schools. Different type of schools receives different student with varied abilities hence the level of expectation by the education stakeholders vary from type of school to the other. This expectation is all focused on the school administrators who are expected to achieve both physical structure of the school and the academic achievement in relation to the ability of the students they receive. This study was interested in examining the influence of type of the school on the level of stress among the secondary school administrators in Nakuru County, Kenya. The study used analysis of variance ANOVA to test on the difference in the mean stress score among the secondary school administrators. The study used a descriptive research design. The target population was 1200 respondents who consisted of 400 secondary school principals, 400 deputy principals, and 400 senior teachers. A sample of 588 respondents was selected using purposive and proportionate stratified random sampling. The sample consisted of 196 principals, 196 deputy principals and 196 senior teachers. The study used questionnaires to collect the data, and focus group discussion was used to access the levels of stress among the School principals. The study found that the type of school significantly influenced the level of stress among the secondary school administrators since the p-value = 0.000, which was less than 0.05 significant level. The study further found that the secondary school administrators in Nakuru County in Kenya, have been applying different mitigation strategies to cope with stress. The study recommends that Ministry of Education, Teachers Service Commission and the School's Board of Management should keenly monitor class size and stress management programs in secondary schools to reduce stress among secondary school administrators. Article visualizations

    A non-linear weighted least squares gas turbine diagnostic approach and multi-fuel performance simulation

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    The gas turbine which has found numerous applications in Air, Land and Sea applications, as a propulsion system, electricity generator and prime mover, is subject to deterioration of its individual components. In the past, various methodologies have been developed to quantify this deterioration with varying degrees of success. No single method addresses all issues pertaining to gas turbine diagnostics and thus, room for improvement exists. The first part of this research investigates the feasibility of non-linear W eighted Least Squares as a gas turbine component deterioration quantification tool. Two new weighting schemes have been developed to address measurement noise. Four cases have been run to demonstrate the non-linear weighted least squares method, in conjunction with the new weighting schemes. Results demonstrate that the non-linear weighted least squares method effectively addresses measurement noise and quantifies gas path component faults with improved accuracy over its linear counterpart and over methods that do not address measurement noise. Since Gas turbine diagnostics is based on analysis of engine performance at given ambient and power setting conditions; accurate and reliable engine performance modelling and simulation models are essential for meaningful gas turbine diagnostics. The second part of this research therefore sought to develop a multi-fuel and multi-caloric simulation method with the view of improving simulation accuracy. The method developed is based on non-linear interpolation of fuel tables. Fuel tables for Jet-A, UK Natural gas, Kerosene and Diesel were produced. Six case studies were carried out and the results demonstrate that the method has significantly improved accuracy over linear interpolation based methods and methods that assume thermal perfection.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    A non-linear weighted least squares gas turbine diagnostic approach and multi-fuel performance simulation

    Get PDF
    The gas turbine which has found numerous applications in Air, Land and Sea applications, as a propulsion system, electricity generator and prime mover, is subject to deterioration of its individual components. In the past, various methodologies have been developed to quantify this deterioration with varying degrees of success. No single method addresses all issues pertaining to gas turbine diagnostics and thus, room for improvement exists. The first part of this research investigates the feasibility of non-linear W eighted Least Squares as a gas turbine component deterioration quantification tool. Two new weighting schemes have been developed to address measurement noise. Four cases have been run to demonstrate the non-linear weighted least squares method, in conjunction with the new weighting schemes. Results demonstrate that the non-linear weighted least squares method effectively addresses measurement noise and quantifies gas path component faults with improved accuracy over its linear counterpart and over methods that do not address measurement noise. Since Gas turbine diagnostics is based on analysis of engine performance at given ambient and power setting conditions; accurate and reliable engine performance modelling and simulation models are essential for meaningful gas turbine diagnostics. The second part of this research therefore sought to develop a multi-fuel and multi-caloric simulation method with the view of improving simulation accuracy. The method developed is based on non-linear interpolation of fuel tables. Fuel tables for Jet-A, UK Natural gas, Kerosene and Diesel were produced. Six case studies were carried out and the results demonstrate that the method has significantly improved accuracy over linear interpolation based methods and methods that assume thermal perfection

    Exploring epistemologies of ignorance through the lens of black women's food-related discussions.

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    Food-related discussions have grown exponentially within and outside of academia in the last few decades. These discussions, like other knowledge claims, tend to reflect the perspectives and interests of systemically privileged communities. This interdisciplinary project ‘starts off thought’ from the perspective of the subjugated, and specifically from the food-related perspectives of black women. Relatively unstructured, food-infused, feminist-informed methods were deployed to bring the relatively marginalized perspectives in (feminist) food studies to the forefront. Whilst the project’s initial intention was to challenge ignorance by learning about food from black women’s perspectives, the discussions with 12 other black women in Sheffield (UK) evolved the project into using food-related discussions as a vehicle for exploring epistemologies of ignorance. Overall the thesis argues that, whilst academic and other knowledges produced by black women continue to be vulnerable to the systemic and systematic forms of erasure that maintain epistemologies of ignorance and the epistemic injustices that follow, alternative spaces of knowledge production are also providing black women some opportunities to redress hermeneutical injustices. The empirical findings demonstrate the vulnerability of black women’s knowledges to systemic erasure in ways that actively produce various epistemologies of ignorance, through insufficient consideration of the situatedness of knowers; and through various experiences of epistemic injustice including testimonial injustice and testimonial smothering. These discussions also speak to the often-ignored racialized nature of food politics. Finally, the findings also point to the resourcefulness of hermeneutically marginalized communities, who are reclaiming kitchens as alternative spaces for the production of knowledges that redress hermeneutical injustice. Key words: Epistemologies of ignorance| Black feminisms| Feminist food studies| Epistemic injustic
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