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    The determinants of job satisfaction in the renewable energy sector in South Africa

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    Small and medium enterprises (SMEs) within South Africa face unique challenges, including the quality of education of prospective employees, ailing educational infrastructure and a lack of financial support. In addition, the COVID-19 pandemic has resulted in the phenomenon, known as the great resignation. During this time a significant number of people quit their jobs, citing various reasons, including poor working conditions, lack of recognition and a toxic work culture. This has highlighted the importance of effective organisational talent management strategies across various industries. The renewable energy sector in South Africa plays a vital role in the government’s National Development Plan 2030, in particular, as it relates to the elimination of poverty. At the same time, employees in all sectors, including the renewable energy sector, are continuously assessing whether their employer is meeting their professional and personal needs. Therefore, ensuring their job satisfaction is a crucial organisational consideration, as job satisfaction has been linked to positive employee outcomes, including motivation, and retention. It is also important for organisations to have a clear idea of the factors that promote job satisfaction. Studies on job satisfaction is limited in the renewable energy sector, specifically in the South African context. For this reason, this study was deemed important in filling this gap. The purpose of this study was to identify the determinants of job satisfaction in an organisation in the renewable energy sector in South Africa. In the past, job satisfaction had been assessed in this organisation using an employee net promotor score (eNPS). It was believed that this measure was limited, as it did not provide an indication of the factors contributing to job satisfaction. A detailed literature review was conducted to understand what job satisfaction entails, the determinants thereof, how it is measured and its impact onThesis (MBA) -- Faculty of Business and Economic Sciences, Business School, 202

    Modelling offsite construction to control hazards and direct cost of accidents

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    The construction industry contributes significantly to the growth of developed and emerging economies. The industry contributes a sizeable proportion of Gross Domestic Product and Gross National Product. However, the poor safety performance of the industry and its consequential socio-economic impact threatens the industry’s significant contributions. It is for this reason that off-site construction has been identified as a sine qua non for addressing poor safety performance. The application of design for manufacture and assembly and lean techniques in the manufacture and assembly processes of off-site construction is suggested to minimise safety hazards in construction. The research was conducted to establish the relevant design for manufacture and assembly and lean techniques for addressing safety hazards in off-site construction and to develop a conceptual model of off-site construction for controlling hazards and direct costs of accidents to protect people and profits in construction. A preliminary conceptual model of off-site construction was initially devised based on a literature review and later refined into a developed conceptual model of off-site construction using findings from the qualitative phase of the study. The confirmation of the relationships and concepts presented in the developed conceptual model of off-site construction was based on the findings from quantitative data. The quantitative data were analysed using the Statistical Package for Social Science (SPSS) Version 26. Within SPSS, descriptive and inferential statistics were used to examine the relationships between off-site construction methods and safety issues, while Cronbach’s alpha was used to measure the validity of the findings. Based on the findings of the study, significant safety benefits of off-site construction methods of design for manufacture and assembly and lean techniques were identified. The benefits relate to the elimination of safety hazards including lack of personal protective equipment, work at height, poor work methods, poor house-keeping and lack of training and experience. Furthermore, the research findings indicated that implementing design for manufacture and assembly and lean practices limits direct costs of accidents, including costs expended on wages and medical bills. The positive outcomes of applying design for manufacture and assembly and lean techniques include better project management and working conditions, improved quality, minimised construction waste, and increased productivity. Factors impeding application of design for manufacture and assembly and lean techniques within contracting organisations include lack of stakeholder collaboration, a conservative mind-set towards traditional construction, lack of preferential policies and expensive logistics. These challenges can be addressed by promoting awareness of off-site construction methods, capacity-building, establishing a robust local supply chain and the involvement of government in creating an enabling political and legal environment, among others. Based on the research, an integrated conceptual model of off-site construction was developed for using off-site construction to control hazards and direct costs of accidents to protect people and profits in construction. In essence, the model can be used to identify design for manufacture and assembly and lean practices applicable in off-site construction projects to control potential safety hazards and risks. Identification and application of appropriate design for manufacture and assembly and lean practices, while addressing safety challenges, would result in the elimination of safety hazards and direct costs associated with the occurrence of accidents. Consequently, prevention of accidents would ensure the safety and health of people in construction, while the reduction of direct costs of accidents would improve the profitability margins of contracting organisations. Based on the study, recommendations are made for wider adoption of off-site construction as a modern construction method, and application of design for manufacture and assembly and lean techniques in off-site construction as strategic, industry and national, initiatives for improving safety in the construction industry.Thesis (DPhil) -- Faculty ofEngineering, the Built Environment, and Technology, School of Built Environment and Civil Engineering, 202

    A framework for a cybersecurity policy in South African schools

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    Today, learners at school grow up within an Information and Communication Technology (ICT) environment and have become technology users. A growing number of learners have access to ICT devices, such as mobile phones, tablets and desktop computers owing to their affordability. Access to ICT devices enables learners to interact in cyberspace which offers them numerous advantages and benefits. Cyberspace enables learners to improve their learning by providing ease of access to information and other learning material. Additionally, it allows them to socialise and to communicate with each without having to be in the same place. Furthermore, it allows them to participate in games, including educational games, to help with their learning. Despite these benefits, learners are prone to falling victim to a range of cyber risks and attacks. These cyber risks and attacks include cyberbullying, accessing inappropriate content and being exposed to sexual grooming. This is due to the fact that cyberspace is an unregulated platform and its complex nature does not make it easy to govern. Thus, there is a need to implement a policy that can govern and educate school learners on how to protect and conduct themselves when accessing cyberspace to avoid and reduce exposure to cyber risks. Countries like the United Kingdom (UK), Australia (AU) and Rwanda (RW) have developed cybersecurity policies to assist schools to develop and implement a cybersecurity policy to create a cybersecurity environment for learners with the support and commitment of the government. These countries continue to implement cybersecurity strategies and advocate for a cybersecurity policy to be implemented in schools to foster a cybersecurity culture. However, this does not seem to be the case for South Africa. The South African education system does not have a standard national cybersecurity policy to be implemented in all schools to handle cyber risks and incidents. The Department of Basic Education (DBE) drafted guidelines to assist schools to implement cybersecurity strategies such as a cybersecurity-related policy; however, these guidelines do not include guidance on how to implement them and they have not been enacted. Because of the lack of commitment from the government to implement a cybersecurity policy at school level, learners continue to be exposed to cyber risks. Hence, it is up to each school to create and implement a cybersecurity policy that is unique to that school to help keep their learners safe. In terms of South African law, schools are ultimately responsible for the safety and well-being of school learners. School Governing Bodies (SGBs) have a legal obligation to ensure that cybersecurity measures are in place to protect learners from cyber risks, especially when schools provide access or expect learners to have and use ICT devices during school hours. However, schools (including SGBs) are ill-equipped to implement cybersecurity initiatives by themselves. They lack knowledge about ICT and are hampered by severe time and financial constraints. This study proposes a framework to assist SGBs in implementing a cybersecurity policy in South African schools. To address this need, the study first performed a literature review to identify the problem area, that schools in South Africa have no cybersecurity policy to guide them and protect school learners from cyber risks. There is a need for cybersecurity policies in schools and the SGBs entrusted with such a responsibility lack the resources and capacity to develop them. Moreover, many schools do not have cybersecurity policies in place to protect school learners if cyber risk incidents occur. This led to identifying research objectives together with research methods to address the problem area. The primary objective is to develop a framework to assist SGBs in implementing a basic cybersecurity policy in South African schools. In order to achieve the primary objective, the study determined cybersecurity policy implementation components and characteristics of cybersecurity policies using the literature review method to obtain the framework design components. Thereafter, cybersecurity-related policies, guidelines and best practices in South Africa and globally were identified and analysed for the school environment through the use of a literature review and qualitative content analysis to obtain cybersecurity policy content suitable for the school environment. Once these actions were performed, the formulation and design of the framework for implementing a basic cybersecurity policy using the relevant policy components and characteristics took place, which resulted in the proposed framework solution.Thesis (MIT) -- Faculty of Engineering, the Built Environment, and Technology, School of Information Technology, 202

    Human–crocodile interactions in the western Solomon Islands: the importance of local data for reducing attacks on people

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    Interactions between people and the saltwater crocodile Crocodylus porosus frequently occur on islands and in coastal regions. Saltwater crocodiles impact people's lives and livelihoods by attacking them, resulting in minor or serious injuries, and by interfering in people's foraging activities. Retaliation may include killing the crocodiles involved. To reduce such human–crocodile interactions, data about the occurrence of incidents are required. We present data on encounters with crocodiles and attacks on people in the Roviana Lagoon, Solomon Islands. Data includes time of incident, gender, age and activity of the victim, water conditions and what happened to the crocodile after the incident. We used a questionnaire to capture the details of incidents that occurred during 2000–2020 in the villages of Dunde, Baraulu, Nusa Hope and Kozou. Most incidents were in the evening, mostly involving women, and most victims were aged 20–39 years or ≥ 60 years. In all cases people were attacked while gleaning for shellfish in the mangroves. Attacks occurred irrespective of whether the water was clear or murky, and in all cases the crocodiles were not killed. Such site-specific data will facilitate the formulation of strategies for reducing negative interactions between people and crocodiles in this particular location. Although the saltwater crocodile is categorized as Least Concern on the IUCN Red List, research such as this provides data that can be used for promoting coexistence with and conservation of this species

    A model to measure the digital competence of South African citizens

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    The rapid proliferation of disruptive technologies is a paradigm shift fundamentally changing how humanity lives, works, communicates, and relates to each other. Many governments are implementing digital transformation strategies to improve service delivery, citizen participation, and information-sharing mechanisms. South Africa has identified digital skills as a key challenge to becoming a professional and globally competitive knowledge society. However, the 2016 Global IT Report of the World Economic Forum highlights the skills problem in South Africa, ranking it 95th out of 139 countries on the skills pillar. This is due to poor quality of education, particularly in math and science. Furthermore, the COVID-19 pandemic significantly underscored the importance of digital competence in South Africa, highlighting both challenges and opportunities. As the pandemic forced a shift to remote work, education, and digital service delivery, the disparities in digital access and skills became more apparent, especially in under-resourced communities. This situation revealed the urgent need to enhance digital competence across the population to bridge the digital divide. On the other hand, the pandemic also acted as a catalyst for digital transformation in the country. There was an accelerated adoption of digital technologies in various sectors, from education using online platforms to businesses embracing e-commerce. This rapid shift showcased the potential of digital technology to foster resilience against such disruptions. It highlighted citizens’ critical need for comprehensive digital competence to navigate this new digital landscape effectively. A gap exists between current online digital skills training programmes and the ability of citizens to participate in the same. While mega-vendors like Microsoft, Google, and Oracle offer virtual training on specific technologies, it is argued that users need digital competence training before participating in these opportunities. In other words, be able to access online training platforms, create a user account, use secure passwords, and navigate online training systems. This critical component is not holistically addressed across the education system in South Africa. Furthermore, digital competence is a new concept in the South African context and has not been holistically assessed until now. This study sets out to develop a digital competence assessment model to measure the digital competence of South African citizens. Research was conducted to understand digital competence, its characteristics and assessment models and frameworks. A suitable framework was then selected and adapted for the South African context. The adapted framework was used to develop a South African Digital Competence Assessment Model. The model consists of a Digital Competence Assessment Grid, which forms the core of the Digital Competence Assessment Model, as well as an example of how the model can be used to develop an assessment questionnaire. The South African Digital Competence Assessment Grid and the Digital Competence Assessment Example were reviewed by experts as part of an expert review process. The recommendations from the experts were used to refine the Digital Competence Assessment Grid. As the concept of digital competence is new to South Africa, implementation strategies and considerations were discussed for the model. As a starting point, implementation resources were developed on how to use the model in the form of a Digital Competence Assessment Model Guide. The study thus makes an important contribution to advancing digital competence assessment in South Africa, which will inform the nature of the development programs needed and from which the competence profiles for various jobs and job families can be generated.Thesis (DPhil) -- Faculty of Engineering, the Built Environment, and Technology, School of Information Technology, 202

    An implementation model: photovoltaic application for sustainable energy in South Africa

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    South African electrical grid faces significant risks that the state produced electricity supply from electricity network to premises for consumption will not meet the electricity demand. Certain sectors of the economy and essential social services such as the hospitals, the telecommunications networks, and water companies are heavily impacted on by load management, through load shedding by rotating power outages or reducing power consumption from primary sources until demand decreases. Eskom, as the major electricity supplier in South Africa's aging infrastructure, with declining reliability, substandard quality coal and large gaps between generating capacity and demand, leaves the country vulnerable to electricity blackouts. The consequences of such power outages are devastating, but no single technology solution can meet the demand. Localised backup solutions such as solar power and battery backup limit the risk of power outages and provide power security during the periods of load shedding. Quantitative research method is pursued as a systematic survey to collect quantitative data by means of sampling and submitting online survey questionnaires. After receiving the data, statistical techniques were performed through structural equation modeling to analyse the structural relationship between the measured variables and the underlying variables. This research focuses on photovoltaic applications as a means of harnessing solar energy to convert solar energy into electricity. Solar panels consist of photovoltaic cells made of semiconductors or materials that respond to the action of photons of light. Energy availability to all can promote economic development and human well-being. Without the improvements in energy efficiency and development costs of new energy technologies such as photovoltaics, the global energy system will come under even more pressure. Therefore, changes in the global trend towards a decentralised low-carbon energy system are inevitable to ensure affordable, reliable and sustainable energy access for all. This research seeks to contribute to the present challenges that are facing South Africa’s electricity supply industry by increasing the energy mix of renewable energy as compared to the fossil fuel-based electricity supply.Thesis (DPhil) -- Faculty of Engineering, the Built Environment, and Technology, School of Built Environment and Civil Engineering, 202

    A model for speech-driven lesson summary generation in a noisy educational environment

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    The application of Automatic Speech Recognition (ASR) technology for generating lesson transcripts and closed captions in the classroom has shown to improve the learning experience of people in disadvantaged student groups. This dissertation proposes a concept model for applying ASR technology in the educational environment for lesson transcription or closed captioning. The model aims further to bolster students’ secondary contact with the lesson content using keyword identification and subsequent association to generate a summary of the educator’s key points with reference to known course content material. To reinforce this concept, three core theoretical areas are discussed in this work, namely the existing applications of ASR technology in the classroom, the prominent machine-learning solutions that are capable of performing ASR, either for keyword spotting or for continuous speech recognition, and finally, the speech enhancement techniques used to mitigate the negative effects of environmental noise in the educational space. After a groundwork investigation into these three core theoretical areas, an initial model was created for incorporating an ASR system into the educational environment using the speech of the educator to drive the process of generating the lesson summary. After analysis for prototype development, the feasibility of developing a keyword-spotting system using South African speech data to train a machine-learning model revealed a number of challenges. Hence, it was decided that it would be more appropriate to implement a cloud-based ASR solution to establish proof of concept in a prototype system. In addition, the advent of a cloud-based ASR solution meant that a more reliable lesson transcript could be generated and, as a result, the direction of this work could move towards exploiting the utility provided by lesson transcription to generate a meaningful lesson summary. An initial prototype implementation was then developed based on the initial model using a cloud-based ASR approach. The final model presented in this work makes use of keyword identification in the transcription process, in collaboration with a course content database to identify known, educator-defined keyword terms during a lesson that are tied to relevant course content items for the specified lesson. As the model or prototype was improved and adapted, its counterpart was modified appropriately, ensuring that each reflected both the theoretical and practical aspects of the other. After a series of improvement cycles, a final version of the model was ascertained, supported by a performance evaluation of an acceptable prototype system. Ultimately, the prototype proved capable of generating a lesson summary, presented to students to bolster secondary contact with lesson content. This lesson summary provides students with a lesson transcript, but also helps them to monitor educator-defined keyword terms, their prevalence as communicated in the lesson by the educator, and their associations with educator-defined sections of course content. The prototype was developed with a modular approach so that its speech recognition component was interchangeable between CMU’s Sphinx and Google Cloud’ Speech-to-Text speech recognition systems, both accessed via a cloud-based programming library. In addition to the ASR module, noise injection, cancellation and reduction were also introduced to the prototype as a speech enhancement module to demonstrate the effects of noise on the prototype. The prototype was tested using different configurations of speech recognition- and speech enhancement techniques to demonstrate the change in accuracy of lesson summary generation. Proof of concept was established using the Google Cloud Continuous Speech Recognition System, which prevailed over CMU’s Sphinx and enabled the prototype to achieve 100,00% accuracy in keyword identification and subsequent association on noise-free speech, contrasted with a 96,93% accuracy in keyword identification and subsequent association on noise-polluted speech when applying noise cancellation.Thesis (MIT) -- Faculty of Engineering, the Built Environment, and Technology, School of Information Technology, 202

    Trophic ecology and breeding success of Brown Skuas (Catharacta antarctica)

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    Invasive species can impact island ecosystem processes by altering species interactions through direct competition for the same resources or by predation on insular species. Seabirds on sub-Antarctic islands are naïve to any new predators and are most at risk of local extirpation. Successful eradications of invasive mammals have yielded positive ecological responses from several seabird species. On sub-Antarctic Marion Island, populations of burrowing petrels, largely targeted by Feral Cats Felis catus, have indicated slow recovery despite the successful eradication of cats in the early 1990s. House Mice Mus musculus, have since proliferated on Marion Island, aided by a warmer climate, and are severely impacting several defenceless populations of burrowing petrels. In this thesis, I investigated the contemporary breeding productivity and diet of Brown Skuas Catharacta antarctica. At Marion Island, Brown Skua breeding productivity was associated to diet, which varied between years. Skuas feeding mostly on burrowing petrels exhibited higher breeding success than pairs mostly feeding on penguins. Higher contributions of burrowing petrels were seen in the contemporary diet of skuas compared to previous diet work. The importance of penguin prey compared to their 1980 and 2010/11 diet, was largely reduced during the 2021/22 and 2022/23 breeding seasons (53 and 51%, respectively) despite a historically high dependence on this prey (78% in 1980 and 67% in 2010/11). Penguin populations have been decreasing at the island and this may be reflected in the current skua diet. Breeding productivity was not influenced by the other factors tested, i.e. weather data (daily minimum, average and maximum air temperature; daily minimum, average, maximum wind speed; daily precipitation), distance to closest penguin colony, species of penguin or number of conspecifics in a 100 m radius around the nest. Brown Skuas breeding on Marion, Gough and Mayes islands were also used as biosamplers of burrowing petrels. These birds form a large part of the skua diet and are reflected in regurgitated skua pellets. Temporal comparisons for Marion Island indicated significant changes in burrowing petrel composition since the 1980s. Blue Petrels Halobaena caerulea and Salvin’s Prions Pachyptila salvini remained the highest contributors of skua pellets, but their proportions differed with three-fold increase in Blue Petrel and 25% decrease in Salvin’s Prion remains compared to previous studies. Further, my study indicated that smaller species of burrowing petrels such as the storm-petrels and diving petrels may be returning to Marion Island, 30 years after the eradication of cats. Pellet analyses at Marion, Gough and Mayes islands also indicated that skua diet may underrepresent larger species of petrels and soft-bodied prey. Despite these limitations, skua diet can indicate the presence of burrowing petrels during summer months, more so at Marion and Mayes islands than Gough Island, where pellet collection is difficult due to dense vegetation. Prey remains, such as wings in middens, may be a more appropriate method to investigate skua diet at Gough Island. Dominant burrowing petrels indicated by pellets at each island generally reflected the most abundant breeding species; Blue Petrels and Salvin’s Prions at Marion Island, Great Shearwaters Puffinus gravis and prion Pachyptila spp. at Gough Island, and Blue Petrels and Slender-billed Prions Pachyptila belcheri at Mayes Island. Pellets provide a non-invasive method for studying species of burrowing petrels that are challenging to monitor. This method is appropriate for studies conducted during summer months, while other studies (e.g., observations, camera traps, acoustic recordings and genetics) may be more reflective of the presence of burrowing species that breed in winter or could be used in combination with skua pellets during summer months. Population monitoring is an important part of conservation as it provides insights into population change. This thesis adds to the baseline data in terms of breeding productivity and updated trophic ecology of Brown Skuas, which will be used to inform the recovery of burrowing petrels once mice have been eradicated from Marion Island.Thesis (MSc) -- Faculty of Science, School of Environmental Sciences, 202

    The effects of selected samples on the bio-stimulatory capacity and anti-aging effects of red light on human skin cells

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    Photobiomodulation (PBM) has gained a remarkable interest in the cosmeceutical industry, with research demonstrating supporting evidence for its use as anti-aging and skin-rejuvenating strategies. It is defined as photons at a non-thermal irradiance or non-ionizing photonic energy that trigger photochemical changes within the cellular structure to alter certain biological activities. Lasers were the main focus during the developmental years of light-based treatments, but since the introduction of non-ablative, light-emitting diode (LED) devices, the focus has changed because of the reduced concerns associated with lasers, such as costs, ablation cutting, thermally coagulating tissue, no downtime needed after treatment, and no trained staff needed for operation. The precise biochemical mechanism for PBM is still to be elucidated; however, accepted theories suggest that it has an influence on the activity of cytochrome c oxidase, a complex located in the electron transport chain, or on the viscosity of the interfacial water layer (IWL) of the mitochondrial membrane. The interaction of those cellular components with the light then leads to the primary responses of increased ROS, ATP production, and intracellular calcium, which ultimately leads to the stimulation of secondary responses that are desired for skin rejuvenation and anti-aging, such as cell proliferation and collagen production. There is controversy surrounding photobiomodulation (PBM), mostly because of the incomplete understanding behind its biochemical mechanism and the number of parameters that require optimization; however, it still poses as a promising field for research into anti-aging properties, as seen in the literature. Besides the use of devices for skin rejuvenation and anti-aging strategies, it is not uncommon to see plant extracts and other natural products being used in current skin care products for the same reason? This is mostly because of their promising bioactivities, some of which include antioxidant, anti-inflammatory, anti-bacterial, collagen-stimulating, and cell-proliferating activities. The aim of this study was to investigate the bio-stimulatory capacity of red light on skin cells and to evaluate possible effects it could have in combination with samples that already show promising anti-aging properties in research. The samples that were selected for this study are: Aspalathus linearis (rooibos) unfermented extract, L-ascorbic acid 2-phosphate, mangrove bee honey, stingless bee honey, Sargassum oligocystum (brown seaweed) and Ulva fasciata (green seaweed).It was found that red light irradiation did indeed stimulate the primary responses of ROS, ATP production, and intracellular calcium levels in HaCaT keratinocytes, as proposed in the hypothesised theory. However, none of the proposed secondary responses to cell proliferation or collagen production were demonstrated. In fact, the opposite was observed for cell proliferation and collagen production, where red light irradiation seemed to be cytostatic towards Hs27 fibroblast cells and caused significant decreases in collagen production. Red light energy dosages of 10, 20 and 30 J/cm2, yielded different primary responses with 20 and 30 J/cm2 generally causing more significant stimulation than that of 10 J/cm2. It should also be noted that even if the desired secondary responses were not observed in this study, it does not mean that red light does not have the capacity to still stimulate them. It is clear that the responses are energy dosage-dependent, and it is suggested that lower energy dosages could possibly lead to cell proliferation and that longer incubation periods post-irradiation are required before measuring the endpoint of collagen production. For the combination of red light irradiation and selected test samples, it was demonstrated that the order of samples that yielded the best outcomes is: stingless bee honey > mangrove bee honey > U. fasciata > S. oligocystum > 2-PAA > green rooibos. Unexpected results were demonstrated for green rooibos in the presence and absence of red light, which included decreased ATP production and collagen biosynthesis. Further investigation is therefore needed to have a better understanding of these unanticipated results.Thesis (MSc) -- Faculty of Science, School of Biomolecular & Chemical Sciences, 202

    Investigating the anti-inflammatory effect of blueberry-AuNP on microglial cells and obese rat brains

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    Nanotoxicology is a field of study that investigates how nanomaterials interact with biological systems. It focuses on understanding the correlation between the physicochemical properties of nanomaterials, such as size and stability, and their potential toxic effects. Gold nanoparticles (AuNPs), for instance, have a variety of applications in the biological sciences. Therefore, there is a great deal of attention given to evaluating their toxicity to ensure their safe and effective use in biological systems. Anti-inflammatory AuNPs have shown to be a desirable application in obesity treatments since obesity is associated with systematic inflammation. Thus, the study aimed to evaluate the anti-inflammatory effect of BE-AuNPs on C8-B4 microglial cell lines and, to validate the results, the grey matter of brain tissue of obese rats treated with BE-AuNPs. Following the synthesis and characterization of BE-AuNPs, C8-B4 microglial cells were treated with the BE-AuNPs and were evaluated through MTT, HRTEM imaging, qPCR, and ROS. LPS was used to activate the cells. Concentration-dependent toxicity of BE-AuNPs and cellular uptake was observed. The qPCR results showed that the BE-AuNPs decreased the LPS-induced inflammation in the cells. The BE-AuNPs were shown to reduce ROS in inflammatory conditions in the cells. Rat brain tissue analysis through qPCR and ROS demonstrated that BE-AuNPs reduce HFD-induced inflammation and had no ROS effects on the brain, respectively. Thus, leading to a conclusion the BE-AuNPs used in this study are anti-inflammatory.Thesis (MSc) -- Faculty of Science, Biomolecular & Chemical Sciences, 202

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