The goal of this thesis is to introduce new matched field processors (MFPs) for estimating the source location and the environmental parameters of a shallow water waveguide in which the source transmits either broadband or narrowband random signals.

The goal of this thesis is to introduce new matched field processors (MFPs) for estimating the source location and the environmental parameters of a shallow water waveguide in which the source transmits either broadband or narrowband random signals.

Submitted in partial compliance with the requirements for the Master’s Degree in Technology: Chiropractic, Durban University of Technology, Durban, South Africa, 2018. / BACKGROUND: Temporomandibular disorders (TMDs) affect up to fifteen percent of adults. It produces craniofacial pain of musculoskeletal structures within the head and neck. One particular cause of TMDs is said to be myofascial pain syndrome (MFPS), which according to various research papers, if not considered and/or assessed, the general cause of a patient’s pain could be disregarded and incorrect treatment offered. Numerous studies conducted internationally on dental management of temporomandibular joint disorder (TMJD) concluded that there is a significant gap in dentists’ education and training regarding the identification and management of MFPS. Upon reviewing the current literature available in South Africa, very little research existed on dentists’ knowledge and the management strategies that they utilised regarding MFPS in TMJD patients. OBJECTIVES: To determine the dentists’ knowledge regarding MFPS of the temporomandibular joint (TMJ). What assessment and treatment/management strategies they use, and whether they make use of referral networks and if the respondents’ demographics influence their knowledge, utilisation, perception and referral patterns. METHODOLOGY: The researcher developed a research questionnaire, which was validated by both an expert and a pilot study group. This questionnaire was then used as a research tool in this cross-sectional study. General dental practitioners from the Greater eThekwini Region received an invitation to participate. The questionnaire-based survey consisted of five sections: biographical profile of respondents; topic background; perception; knowledge; utilisation and management (including referral patterns) of MFPS. RESULTS: The majority of respondents did receive basic education in MFPS, with 76.9% reporting that they received undergraduate education and 57.7% indicating that they had attended post-graduate courses/talks on MFPS. There was a 100% response from dentists indicating their willingness to attend post-graduate courses/talks on MFPS. The results indicated that the respondents, who felt that their curriculum regarding MFPS was sufficient, were more knowledgeable and more competent in diagnosing and managing MFPS. Overall, the average score for knowledge was 65.17%. Clinical features (78.85%) and the perpetuating and relieving factors (72.11%) scored the highest while causes (58.06%) and differential diagnoses (51.16%) scored the lowest knowledge levels. Respondents mostly made use of allopathic medical fields, and not of alternative medical fields, however a high number of respondents (73.1%) indicated that they would consider chiropractic co–management of patients with MFPS. CONCLUSION: This study adds new information in the South African context regarding dentists’ understanding of the myofascial component of TMDs. It also provides the dental profession with information about the knowledge and practices related to MFPS as well as information regarding the strengths and weaknesses on its educational component. It is recommended that dentists receive additional training on differential diagnoses and causes. It is also recommended that the chiropractic profession take this opportunity to offer courses/talks on MFPS and join forces with the dentistry profession on how they can assist in managing patients with MFPS. / M

D. Tech. (Department of Information and Communication Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. / The agriculture sector is the lifeblood of the economies of the world's least developed countries (LDCs). In Zimbabwe, this sector is considered to be the backbone of Zimbabwe's economy, and as a result, it is the sector that supports the economic growth of the country, food security, and poverty eradication efforts. Furthermore, the use of mobile technology has continued to rise in Zimbabwe, and farmers now can obtain agricultural information through the use of mobile technology. Mobile phones are increasingly being integrated into current agricultural trade businesses, owing to the critical role they serve in facilitating information transmission between farmers and buyers. The potential of mobile phones in agriculture spawned mAgriculture, which is the use of mobile phones to provide agricultural information and services. Variousitechnology companies in iZimbabwe have come up with various mobile farming platforms as innovation, with the aim of improving overall performance among smallholder farmers. In order to find the usefullness of these mobile farming platforms, it imperative to measure the adoption and acceptance of this technology in the farming environment. The study sought to investigate the adoption and acceptance of mobile farming platforms in Zimbabwe through a more comprehensive model based on UTAUT 2 that encapsulates the key factors that influence user adoption and acceptance of mobile farming platforms. The main aim of the study was to inform technology start-up companies and other mobile application developers in the development of mobile farming platforms or applications that can be fully adopted and accepted by users, taking into cognisance all salient factors affecting their adoption and acceptance. The model has been used to investigate smallholder farmers in a developing country such as Zimbabwe. The model explores the effect of attitude as one of the key determinants that affect the behavioral intention to use mobile farming platforms. In addition, the model looked at the moderating effect of Hofstede's five cultural dimensions on the key determinants that influence behavioral intention as well as actual use of mobile farming platforms at individual level. A total of 411 questionnaires were received from smallholder farmers in Zimbabwe's three major provinces who were using mobile farming platforms. Structural Equation Modelling was utilized to test the hypothesized conceptual model. Reliability and validity checks were done to the model instrument. As hypothesized, the findings of this study revealed that performance expectancy (PE), effort expectancy (EE) and facilitating conditions (FC) are significant determinants of the newly added variable Attitude (AT). Attitude (AT), together with social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), and habit (HB) were found to be significant determinants of behavioral intention and usage of mobile farming platforms for smallholder farmers. The results also showed that cultural dimensions have a moderating effect on user acceptance of mobile farming platforms. According to the findings, attitude and culture are significant factors to consider when analyzing farmers' behavioral intentions and use of mobile farming platforms. The findings of the study contribute to the literature by validating and supporting the applicability of the extended UTAUT 2 for the adoption and acceptance of mobile farming platforms by smallholder farmers in developing countries. The theoretical contribution of the study was through the extension of UTAUT 2 where attitude was added as one of the new key determinants of behavioral intention and cultural dimensions were added as mediators. The other contribution is to the Zimbabwean farming community where the study was conducted.