This thesis addresses three economic and social impediments to the successful deployment of community-based micro hydro grids using a case study from the Republic of Kenya. Kenya is one of the countries in Sub-Sahara Africa currently faced with low rural electricity access rates, but with abundant micro hydro resources spread across vast rural locations. Although majority of financial resources are channeled to grid extension in developing countries like Kenya, many rural households still live 'under the grid' because they cannot afford connection fees and/or cost of grid electricity. Such phenomenon has led to innovative solutions such as the concept of Community-Based Renewable Energy Schemes (CRES), facilitating joint exploitation of a local renewable energy (RE) resources. The government of Kenya in partnership with non-state actors set up demonstration points for Community-Based Micro Hydro Schemes (CBMHS) in two locations, and other communities have adopted this model by setting up their own electrification schemes in Kenya. However, the success of such schemes continues to be very limited in Kenya and other developing countries with majority of them disintegrating after few years of operation. This phenomenon is widely documented in literature, and a variety of barriers to success of such schemes continue to be interrogated in both published and unpublished academic literature. There are issues relevant to both establishment and continued operation of such electrification that have not received much scholarly research, but continue to largely limit delivery of sustainable and quality service, as well as hindering scaling up of these potentially useful rural electrification alternatives. These include: a) mismatch between the provided services by such group electrification schemes and the expectations of their consumers b) lack of supportive capacity for joint effort mobilization and capacity for self-governance within such schemes c) unsubstantiated claims of the capability of small scale renewable energy electrification impact on households that make them not to be considered as equally important energy solutions. This thesis makes a threefold contribution to the literature of rural electrification by firstly analyzing preference for properties of decentralized electricity delivery service in a field dominated by utility provided grid solutions. Secondly, the literature on governance of man-made common pool resources (CPR) is extended by providing evidence for the requirements for successful management of a small-scale electricity commons line a CBMHS. Lastly, the study produces reliable evidence regarding immediate or short-term changes to households anticipated from small scale electrification projects. Overall, the study presents lessons on implementing and sustaining rural communities' investments in decentralized RE electrification while demonstrating why such schemes should now form essential part of rural electrification delivery models. The three research issues are addressed independently in three chapters that follow the introductory chapter of this thesis.

Meta-analysis is an important statistical tool for systematic reviews and evidence-based medicine. Extracting the observed effect sizes, assessing the magnitude of heterogeneity, choosing the suitable statistical model, and interpreting the summary effect size are four key steps in meta-analysis. It is known that each of the above steps has its own unique characteristics and may require some specific attention. As an example, the observed effect sizes from individual studies may not be reported in the same scale and hence cannot be combined directly. Another example is on selecting a model for meta-analysis from the common-effect model and the random-effects model. When a meta-analysis contains only few studies, the common-effect model and the random-effects model will often lead to misleading or unreliable results. In the first part of the thesis, we give a brief introduction on evidence-based medicine, systematic reviews and meta-analysis. We will also show their practical importance, display their relationships, and present a motivating example for conducting a meta-analysis. In Chapter 2, we first review the common effect sizes in meta-analysis for both continuous data and binary data. How to combine different categories of effect sizes is a critical issue after extracting the observed effect sizes from the clinical studies in the literature. For continuous data, researchers have recently proposed methods that transform the five number summary to the sample mean and standard deviation (Hozo et al., 2005; Wan et al., 2014; Luo et al., 2018). For binary data, the transformation from the odds ratio (OR) to the relative risk (RR) in the cohort study was proposed by Zhang and Yu (1998). To the best of our knowledge, however, there is little work in the literature that converts OR to RR in the case-control study. In view of this, we establish a new formula for this transformation to fulfill the gap. The performance of the new method will be examined through simulations and real data analysis. Our method and formulas can not only handle meta-analyses with different effect sizes, but also offer some insights for medical researchers to further understand the meaning of OR and RR in both cohort and case-control studies. In Chapter 3, we first give a brief introduction on the three available models in meta-analysis: the common-effect model, the random-effects model, and the fixed-effects model. When a meta-analysis contains only few studies, the common-effect model and the random-effects model will often lead to misleading or unreliable results. In contrast, the fixed-effects model is capable to provide a good compromise between the existing two models. In this chapter, we propose to further improve the estimation accuracy of the average effect in the fixed-effects model by assigning different weight for each study as well as fully utilizing the information in the within-study variances. Through theory and simulation, we demonstrate that the fixed-effects model can serve as the most convincing model for meta-analysis with few studies. And most importantly, with a total of three models, we expect that meta-analysis can be conducted more flexibly, more meaningfully, and more accurately. In Chapter 4, we first give a brief introduction on the heterogeneity in meta-analysis. We then review the methods for quantifying heterogeneity in three directions as follows: the tests for heterogeneity, the estimates of the between-study variance, and the measures of the impact of heterogeneity. Note that most existing methods were derived under the assumption of known within-study variances. In practice, however, a direct use of the reported within-study variance estimates may largely reduce the power of the tests and also lower the accuracy of the estimates, especially when the sample sizes in some studies are not sufficiently large. To overcome this problem, we propose a family of shrinkage estimators for the within-study variances that are able to borrow information across the studies, and derive the optimal shrinkage parameters under the Stein loss function. We then apply the new estimates of the within-study variances to some well-known methods for measuring heterogeneity. Simulation studies and real data examples show that our shrinkage estimators can dramatically reduce the estimation bias and hence improve the exiting literature. Keywords: Common-effect model, Effect size, Fixed-effects model, Heterogeneity, Meta-analysis, Odds ratio, Random-effects model, Relative risk, Risk ratio

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A thesis submitted to the Faculty of Arts in partial fulfilment of the requirements for the Course-work Degree of Masters of Recreation and Tourism in the Department for Recreation and Tourism at the University of Zululand, South Africa, 2014. / The study was based on community based tourism and was conducted to find out whether the local residents are involved and participate in community based tourism within the study area of uMhlathuze Municipality. Community based tourism provides job opportunities to those who participate and should, ideally, involve every resident of the study area. Men and women are to be given the equal participation opportunities. The study had the following specific objectives: (a) To establish the extent to which the local community understands the importance of tourism in the study area. (b) To find out the level of participation and involvement of the local community in community based tourism (c) To identify the types of community tourism facilities available in the study area. (d) To establish the strategies that can be used to promote involvement and participation in community based tourism within the study area. The findings of the study revealed that some community members do not even know the local tourism authorities who should be promoting community based tourism within the study area. Misconceptions about tourism became evident as some respondents viewed tourism as an activity for the rich and for the white people. The study is concluded by recommending the promotion of community based tourism within the study area applying the managerial strategies to promote participation and involvement by local communities.

A dissertation submitted to the Faculty Arts in partial fulfillment of the Degree of Masters of Arts (Community Work) in the Department of Social Work at the University of Zululand, 2017 / This study is about causes of gender-based violence against women, with special reference to eNseleni community. As a descriptive research, questionnaires were used for data collection. Samples of 50 informants who are considered to be victims of gender-based violence were drawn. Literature that focuses on gender-based violence against women has been consulted and discussed. Different recommendations have been made based on the findings of the study. The findings revealed that all women respondents have experienced domestic violence in their lives. It further revealed that women are physically abused which means they are buttered while others are experiencing verbal abuse which means they are insulted by their partners, other women are sexually abused while others suffer from emotional abuse. It is also important that protection of women and their rights be observed. Women should be taught and encouraged to be self-reliant other than relying on men.

Dissertation submitted in fulfilment of the requirements for the degree of Master of Education in the Department of Foundations of Education at the University of Zululand, 2003. / Outcomes-based education, like all other systems, need love, interest, background knowledge to learners as well as educators and proper resources for backing up the learning process. Educators' success in OBE depends on conditions of the country and circumstances like geographical locations that lead to imbalance of changes accompanied by problems such as overcrowded classrooms and inadequate of educational resources in rural and urban area.

Haynes 230 is a nickel based, solid-solution strengthened alloy that is used for high-temperature applications in the aero-engine and power generation industries. The alloy composition is balanced to avoid precipitation of undesirable topologically closedpacked (TCP) intermetallic phases, such as Sigma, Mu, or Laves-type, that are detrimental to mechanical and corrosion properties. This material is currently being used for the NASA's J2X upper stage rocket nozzle extension. Current fabrication procedures use fusion welding processes to join blanks that are subsequently formed. Cracks have been noted to occur in the fusion welded region during the forming operations. Use of solid state joining processes, such as friction stir welding are being proposed to eliminate the fusion weld cracks. Of interest is a modified friction stir welding process called thermal stir welding. Three welding process: Gas Metal Arc Welding (GMAW), Electron Beam Welding (EBW), and Thermal Stir Welding (TSWing) are compared in this study.

No description available.

PhD Thesis (Software Engineering) / Model-Based Development (MBD) is an approach that uses software models to describe the behaviour of embedded software and cyber-physical systems. MBD has become an increasingly prevalent paradigm, with Simulink by MathWorks being the most widely used MBD platform for control software. Unlike textual programming languages, visual languages for MBD such as Simulink use block diagrams as their syntax. Thus, some software engineering principles created for textual languages are not easily adapted to this graphical notation or have not yet been supported. A software engineering principle that is not readily supported in Simulink is the modularization of systems using information hiding. As with all software artifacts, Simulink models must be constantly maintained and are subject to evolution over their lifetime. This principle hides likely changes, thus enabling the design to be robust with respect to future changes. In this thesis, we perform repository mining on an industry change management system of Simulink models to understand how they are likely to change. Then, we explore the various modelling mechanisms available in the Simulink language to see how they could support modular design with information hiding. Next, we propose a module structure, syntactic interface, and modelling conventions for Simulink designs, which are supported by our open-source Simulink Module Tool. Finally, we apply the proposed techniques on case studies from the aerospace and nuclear domains, in order to demonstrate their practicality and validate their effectiveness. Overall, the approach helped support information hiding by encapsulating secrets and facilitating likely changes. It also had a positive effect on interface complexity, cohesion, and coupling. The larger system also exhibited reductions to cyclomatic complexity, testing effort, and execution time, but the smaller case study benefited less in these areas. / Thesis / Doctor of Philosophy (PhD)

As more schools incorporate learning gardens into their campuses to help educate school children on nutrition (Parmer and Stuempler, 2009), connect students to nature (Bucher, 2017), and grow healthy food; there is a need to better understand how the physical design and components of the garden facilitate the use and programming of the gardens for teaching. There is little research on how the physical characteristics of a garden influence those benefits and challenges. This study seeks to assess the usefulness of an intentionally designed garden typology that has been implemented at three different school sites. By documenting the differences between the three gardens and surveying faculty and staff, the study identifies how the gardens and their components are used by teachers. The results indicate that the intentionally designed gardens are used for many purposes, have successful seating components, and reduce overall maintenance for teachers responsible for the gardens.