566 results on '"Shabangu A"'
Search Results
2. Systematic integration of molecular and clinical approaches in HCV-induced hepatocellular carcinoma
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Shabangu, Ciniso Sylvester, Su, Wen-Hsiu, Li, Chia-Yang, Yu, Ming-Lung, Dai, Chia-Yen, Huang, Jee-Fu, Chuang, Wan-Long, and Wang, Shu-Chi
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- 2024
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3. A home away from home for adolescents: narratives on residential care life in eThekwini, KwaZulu-Natal, South Africa
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Xolani Shabangu, Raisuyah Bhagwan, and Fathima Dewan
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residential care ,south africa ,adolescents ,Social pathology. Social and public welfare. Criminology ,HV1-9960 - Abstract
Residential care facilities play a significant role in accommodating orphaned and vulnerable children both in South Africa and internationally. However, there is scant information about the experiences adolescents have of residential care life in South Africa. This study explores the experiences of adolescents at a residential care setting, in the eThekwini region of KwaZulu-Natal, in South Africa. The study was conducted using a qualitative research methodology. Twenty-six participants were recruited using non-probability purposive sampling methods. Findings indicate that children in residential care have both positive and negative experiences of residential care. The findings that were significant highlighted adolescents’ emotions related to growing up in a residential care setting and key issues around the experiences of support and care within these settings. Two core themes were identified using thematic analysis. Firstly, the daily life experiences of growing up in the residential care facility, and secondly, their experiences of support and care therein. These findings are relevant to improving child care services at residential care facilities in South Africa and enabling the wellbeing of adolescents.
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- 2024
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4. Promoting and Protecting the Developing Self-identity of the Young, Transracially Adopted Child in South Africa
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Heyns, Maynette, Moen, Melanie, Finestone, Michelle, and Shabangu, Sifiso
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- 2024
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5. Against colonial residues, towards decolonising assessment: a case study of a university history course
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Sarah Godsell, Bongani Shabangu, and Guy Primrose
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Higher education ,assessment ,decolonisation ,history ,emotion ,reflection ,Education (General) ,L7-991 - Abstract
Assessment remains a power nexus in Higher Education, where remnants of coloniality pool. The power that assessment holds makes it an important site for decolonisation. The purpose of this article is to present an experiment, and open a discussion, on the decolonisation of assessment. We argue that bringing assessment into the decolonisation project is important in a social justice move towards addressing coloniality in Higher Education. This can work to ensure epistemic access and epistemic justice in Higher Education classrooms. In this article, we explore some ideas towards decolonising assessment in Higher Education, offering some alternative assessment practices. We explore a case study of a History course in which the assessment practice was varied and creative. We argue this to provide decolonial paths into assessment while drawing on other assessment traditions. We examine how assessments in the form of a play, portfolio, and reflective essay offer a space for emotion, collaboration, reflection, and ultimately humanisation in assessment. We argue that drawing on varied forms of assessment through multiple types of reflective, collaborative, and imaginative assessment constitutes an important experiment in decolonising assessments in Higher Education. To do this, we draw on assessment and decolonial theory, both wide and varied fields. In this case study, we draw on data from a history module in a Social Science course in a Bachelor of Education program in a South African university. This means that we are embedded in a specific national context, but we argue that the questions we raise are universal.
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- 2024
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6. Female Gender Representation in Selected South African Magazines
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Shabangu, Nonkululeko N., Rossouw, Sandra, and Smith, Cornelia G.
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Background: There has been an increase in the number of women's magazines in South Africa, which also contributes to the country's economic growth and development. Objective: Magazines serve as a source of entertainment and information and they cater for readers interested in learning more about what features in society and even globally, which underscores the importance of quality and gender-sensitive material. The portrayal of females in magazines surfaced as a source of interest in the light of women's liberation and gender equity. Method/Results: The purpose of this study was to explore the language and content of selected South African women's magazines. The objectives were to determine how language and content are used to represent females in selected South African women's magazines; and determine the professional editors', journalists' and readers' perceptions of the representation of females in the selected English women's magazines. Conclusion: A qualitative case study design was used, and semi-structured interviews were conducted to collect data from the selected participants. The corpus spanned three professional journalists and nine readers, including seven females and five males, purposefully selected, who participated. The data collected through interviews were analysed and thematically discussed. Readers' reception aesthetics were used, in conjunction with feminist literary criticism, as theoretical lenses. Contribution: The study found that sexualisation and objectification continue especially in advertisements, but that much progress has been made in magazines to represent women as powerful and significant.
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- 2022
7. Addressing Graduate Unemployment: Aligning Higher Education Curricula with Labour Market Demands
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Shabangu, Nondumiso, Madondo, Nkosinathi Emmanuel, Casero-Ripollés, Andreu, Series Editor, Barredo Ibáñez, Daniel, Series Editor, Park, Han Woo, Series Editor, Khan, Intakhab Alam, Series Editor, Wekke, Ismail Suardi, Series Editor, Birkök, Mehmet Cüneyt, Series Editor, Striełkowski, Wadim, Series Editor, Makua, Manyane, editor, Akinlolu, Mariam, editor, Gumede, Phiwayinkosi, editor, Sithole, Mashango, editor, Nyondo, Cebo, editor, Nene, Ntombikhona, editor, and Mhlongo, Mandlenkosi, editor
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- 2024
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8. Writing Centre Consultations in the Age of Artificial Intelligence: Perspectives from tutors at a selected University of Technology in KZN
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Mutsvairigwa, Patience, Mhlongo, Ntuthuko, Shabangu, Nondumiso, Zwide, Simthandile, Nomxoko, Ntokozo, Mbhele, Nhlakanipho, Casero-Ripollés, Andreu, Series Editor, Barredo Ibáñez, Daniel, Series Editor, Park, Han Woo, Series Editor, Khan, Intakhab Alam, Series Editor, Wekke, Ismail Suardi, Series Editor, Birkök, Mehmet Cüneyt, Series Editor, Striełkowski, Wadim, Series Editor, Makua, Manyane, editor, Akinlolu, Mariam, editor, Gumede, Phiwayinkosi, editor, Sithole, Mashango, editor, Nyondo, Cebo, editor, Nene, Ntombikhona, editor, and Mhlongo, Mandlenkosi, editor
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- 2024
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9. Re-thinking the South African School History Curriculum: Theorising Indigenous Archives of History
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Shabangu, Bongani, Boadu, Gideon, editor, and Oppong, Charles Adabo, editor
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- 2024
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10. The offense characteristics of maternal filicides in eSwatini: adding to Resnick’s classification model
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Sifiso Shabangu and Melanie Moen
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eSwatini ,maternal filicide ,Resnick model ,socio-cultural motivation ,retrospective study ,Psychology ,BF1-990 - Abstract
IntroductionMaternal filicide, the murder of a child by a mother, is a complex phenomenon. Relatively little is known of filicide on the African continent, especially in eSwatini. This study highlights the complex dynamics at play when these crimes are committed.MethodsThis retrospective study explored offense characteristics of maternal filicide cases in eSwatini from 2005 to January 2024. Thirty-one cases were identified through court documents and news reports. Content analysis was conducted on these cases.ResultsThe study revealed that socio-cultural factors such as the role of a woman in society and traditional beliefs contributed to these crimes. Poverty and contextual challenges also contributed to the systemic reasons for these murders. Relationship challenges featured prominently. A unique finding in this study was the use of poison by biological mothers in all the filicide-suicide attempts.DiscussionWe argue for the inclusion of an additional socio-cultural category to Resnick’s classification model. Ultimately, there is a need for further exploration of filicide in eSwatini and other contexts. This would aid in identifying risk factors in pregnant mothers, in young mothers, among couples, and within socio-cultural practices.
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- 2024
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11. A cross-sectional study of healthcare provider perceptions of the management of epilepsy in pregnancy in sub-Saharan Africa
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Kerr, Hannah, Kinney, Michael, Olaniyan, Tolu, Alani Salako, Olanrewaju, George, Virginia, Engoru, Benard, Mbukebam, Mary, Kumwenda, Millie, Sipilon, Margaret, Shabangu, Edward, Karway, Thomas, and Shankar, Rohit
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- 2024
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12. Evaluating the accuracy of multiple rapid diagnostic tests for HIV detection in serum samples analysed during point-of-care proficiency testing assessments
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Blasich, Nozuko P., Okot, Jerom, Ramos, Artur, Buthelezi, Mduduzi B., Shabangu, Dumisani F., Maleka, Mahlatse M., Moodliar, Sarvashni, Ngoma, Nqobile, and Kufa, Tendesayi
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- 2025
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13. Fighting to Breathe and Fighting for Health-Related Quality of Life: Measuring the Impact of Being Dependent on Technology for Breathing on the Child and Their Caregiver
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Verstraete, Janine, Booth, Christopher, Booth, Jane, Peer, Shazia, McGuire, Jessica, Kritzinger, Fiona, Gray, Taryn, Zibi, Noluthando, Shabangu, Primrose, and Zampoli, Marco
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- 2023
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14. Metagenomic Insights into Pollutants in Biorefinery and Dairy Wastewater: rDNA Dominance and Electricity Generation in Double Chamber Microbial Fuel Cells
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Khaya Pearlman Shabangu, Manimagalay Chetty, and Babatunde Femi Bakare
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Bacteriodota ,electrical conductivity ,Firmicutes ,Microbial Fuel Cell ,Proteobacteria ,salinity ,Technology ,Biology (General) ,QH301-705.5 - Abstract
This study evaluates the potential of biorefinery and dairy wastewater as substrates for electricity generation in double chamber Microbial Fuel Cells (DCMFC), focusing on their microbial taxonomy and electrochemical viability. Taxonomic analysis using 16S/18S rDNA-targeted DGGE and high-throughput sequencing identified Proteobacteria as dominant in biorefinery biomass, followed by Firmicutes and Bacteriodota. In dairy biomass, Lactobacillus (77.36%) and Clostridium (15.70%) were most prevalent. Biorefinery wastewater exhibited the highest bioelectrochemical viability due to its superior electrical conductivity and salinity, achieving a voltage yield of 65 mV, compared to 75.2 mV from mixed substrates and 1.7 mV from dairy wastewater. Elevated phosphate levels in dairy wastewater inhibited bioelectrochemical processes. This study recommends Biorefinery wastewater as the most suitable purely organic substrate for efficient bioelectricity generation and scaling up of MFCs, emphasising the importance of substrate selection for optimal energy output for practical and commercial viability.
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- 2025
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15. The Effect of the COVID-19 Pandemic on Students and the Living and Learning Spaces at a South African University
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Kanyumba, Blessing and Shabangu, Nondumiso
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In March 2020, the South African President Mr Cyril Ramaphosa announced a national lockdown due to the rising cases of the COVID-19 pandemic. As a result, some of the higher education institutions closed under lockdown level 5 and strategies had to be developed to adapt to the "new norm". Consequently, students and the living and learning spaces in South Africa were affected, necessitating therefore that transformation in all spheres takes place. This study, through a qualitative research design, investigated the effect of COVID-19 on students and the living and learning spaces at a selected university in South Africa. Fifteen students and ten Residence Advisors (RAs) were telephonically interviewed. The results revealed that the living and learning spaces had been significantly transformed by the COVID-19 pandemic. The operations of these spaces had been compelled to change in order to comply with the COVID-19 regulations, such that student learning was shifted from face-to-face to online learning. This meant more time spent indoors, stricter measures now in place and the RA roles having been broadened to ensure that they also monitor compliance. The study also noted that even after the pandemic, things will still take time to get back to normal. This article concludes that COVID-19 has had a huge effect on the living and learning spaces as well as students at the selected university and that both students and staff should play their roles effectively to ensure that everyone remains safe.
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- 2021
16. Artificial Intelligence’s (AI’s) Implications for Strategic Communication
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Pay Shabangu
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artificial intelligence ,strategic communication ,South Africa ,Communication. Mass media ,P87-96 - Abstract
Organisations in Africa have integrated Artificial Intelligence’s (AI) innovations, such as data driven technologies and automation, into their operations. This is being done, among others, to enhance customer relationships, strategic communication and to deliver services. However, there are suggestions that these data-driven technologies are not transparent enough, which is contrary to what strategic communication is about. A survey in South Africa, for example, shows that only thirty nine percent of the people have heard of AI. This is despite South Africa being among the top five African countries in the 2020 Global Government Artificial Intelligence Readiness Index. Several academic papers evaluating the AI topic from different standpoints have been published in recent years. However, little academic work has been done regarding AI’s impact on strategic communication in the African continent. Although AI automation and applications seek to address most of society’s pressing problems, there are also challenges such as the technicality of AI, ethical issues, and overselling of AI. This conceptual article, analyses documents published on AI, journal articles and books content, identifies and discusses AI challenges, reviews different approaches to AI, examines AI’s impact on the strategic communication field and makes recommendations, with an intention to contribute to the AI and strategic communication disciplines. The research established that AI will continue to preoccupy academics and the public because of the increasing intermingling of smart technologies with different areas of human life.
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- 2024
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17. Chronic pain in female breast cancer survivors - prevalence, characteristics and contributing factors: a cross-sectional pilot study
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Nelisiwe Shabangu, Tselane Thebe, Michelle Casey, Ursula Wesselmann, and Romy Parker
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Breast cancer survivor ,Chronic pain ,Prevalence ,Gynecology and obstetrics ,RG1-991 ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background While the global incidence of breast cancer is increasing, there is also an increase in the numbers of breast cancer survivors and in survival duration, as early detection programs are implemented, and treatments are optimized. Breast cancer survivors in several countries commonly struggle with a range of symptoms (fatigue, insomnia, depression) with 25–80% of survivors suffering from chronic pain. There is a paucity of literature reporting on breast cancer survivors in South Africa. In this pilot study we aimed to determine the prevalence of chronic pain in female breast cancer survivors attending the breast oncology clinic. Methods A cross-sectional survey was conducted of all breast cancer survivors attending the Groote Schuur Hospital Breast Unit during one month in 2019. 44 female breast cancer survivors (median age 60.5y) completed a sociodemographic questionnaire, the Brief Pain Inventory, Pain Catastrophizing Scale and measures for neuropathic pain (DN4), health related quality of life (HRQoL; EQ-5d-3 L), physical activity (IPAQ), depression and anxiety (PHQ4), and screening questions to evaluate sleep, happiness and perceived discrimination in the language of their choice. Results The prevalence of chronic pain (pain on most days for more than three months) was 59% (95%CI 44–72), a significantly higher number than the 18,3% prevalence of chronic pain reported by South African adults. 39% of the women were classified as having neuropathic pain. The median pain severity score was 3.75 (IQR = 2.75-5) and the median pain interference with function score was 4 (IQR = 2.9–5.4). The women were experiencing pain in a median of 2 different body sites (IQR = 1–3). The women with pain were more likely to be unemployed or receiving a disability grant, had significantly worse HRQoL, and significantly worse scores for risk of depression and anxiety. Conclusion The results of this pilot study suggest that chronic pain may be a significant burden for South African breast cancer survivors. Routine screening for chronic pain in breast cancer survivors is recommended with a larger study indicated to explore this issue further.
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- 2023
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18. A comparative analysis of organic substrates from industrial wastewater streams for enhanced electricity production using a double chamber microbial fuel cell (DCMFC)
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Shabangu, Khaya Pearlman, Mthembu, Nhlanhla, Chetty, Manimagalay, Bwapwa, Joseph K., and Bakare, Babatunde Femi
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- 2024
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19. Exploring the influence of stress on aggressive behavior and sexual function: Role of neuromodulator pathways and epigenetics
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Mbiydzenyuy, Ngala Elvis, Joanna Hemmings, Sian Megan, Shabangu, Thando W., and Qulu-Appiah, Lihle
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- 2024
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20. Optimising the yield from bronchoalveolar lavage on human participants in infectious disease immunology research
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Shaw, Jane Alexandra, Meiring, Maynard, Allies, Devon, Cruywagen, Lauren, Fisher, Tarryn-Lee, Kasavan, Kesheera, Roos, Kelly, Botha, Stefan Marc, MacDonald, Candice, Hiemstra, Andriёtte M., Simon, Donald, van Rensburg, Ilana, Flinn, Marika, Shabangu, Ayanda, Kuivaniemi, Helena, Tromp, Gerard, Malherbe, Stephanus T., Walzl, Gerhard, and du Plessis, Nelita
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- 2023
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21. Writing Centre: A space for inclusivity in higher education? A case study of a University of Technology in Durban, South Africa
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Mhlongo, Ntuthuko, Mutsvairigwa, Patience, Xulu, Nkosinathi H., Thusi, Nondumiso C., Khanyile, Siyanda, Shabangu, Nondumiso, Striełkowski, Wadim, Editor-in-Chief, Black, Jessica M., Series Editor, Butterfield, Stephen A., Series Editor, Chang, Chi-Cheng, Series Editor, Cheng, Jiuqing, Series Editor, Dumanig, Francisco Perlas, Series Editor, Al-Mabuk, Radhi, Series Editor, Scheper-Hughes, Nancy, Series Editor, Urban, Mathias, Series Editor, Webb, Stephen, Series Editor, Makua, Manyane, editor, Akinlolu, Mariam, editor, Sithole, Mashango, editor, Gumede, Phiwayinkosi, editor, Nyondo, Cebo, editor, Khuzwayo, Ntombikhona, editor, and Mhlongo, Mandlenkosi, editor
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- 2023
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22. Barriers to implementing National Action Plans on antimicrobial resistance using a One Health Approach: policymakers’ perspectives from South Africa and Eswatini
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Kholiwe Shabangu, Sabiha Y. Essack, and Sinegugu E. Duma
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Antimicrobial resistance ,One Health approach ,National Action Plan ,Policymakers ,Microbiology ,QR1-502 - Abstract
Objectives: Antimicrobial resistance poses a global public health concern that threatens human, animal, and environmental health. If it is not addressed, it is estimated to cost the global economy between USD 90 trillion and USD 210 trillion, and the death burden could balloon to 10 million lives per year by 2050. This study aimed to explore policymakers experiences on barriers to implementing National Action Plans on antimicrobial resistance using a One Health approach in South Africa and Eswatini. Methods: Thirty-six policy makers were recruited using purposive and snowballing sampling in South Africa and Eswatini. Data were collected between November 2018 and January 2019 in South Africa, and February to March 2019 in Eswatini. Data was then analysed based on Creswell methods. Results: Three themes and five subthemes emerged from our findings. The themes were resource barriers, political barriers, and regulation barriers to the implementation of National Action Plans on antimicrobial resistance in South Africa and Eswatini. Conclusion: South African and Eswatini governments should commit funds to their One Health sector budgets to enable the implementation of National Action Plans on antimicrobial resistance. Specialized human resources issues need to be prioritized to unlock barriers of implementation. A renewed political commitment is needed to combat antimicrobial resistance in a One Health approach, as it plays a significant role in resource mobilization from regional and international organizations to support the resource-constrained countries to successfully implement policies.
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- 2023
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23. The Illusive Pipedream of Zero Harm: A South African Mining Industry Perspective
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Oscar Rikhotso, Mesala Shabangu, and Yolanda Havenga
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fatality ,injury ,leading indicator ,lagging indicator ,occupational disease ,Industrial safety. Industrial accident prevention ,T55-55.3 ,Medicine (General) ,R5-920 - Abstract
Mining industry activities are fraught with inherent exposure to occupational health and safety hazards, often with fatal outcomes, injuries and occupational diseases. This occurs amidst the introduction of contemporary mining methods and targeted health and safety regulation. This historical study evaluated company annual reports through document analysis, on a textual level, to evaluate the extent of OHS performance reporting, a measure of the attainment status of the zero-harm aspirational goal. The reporting of OHS performance indicators in annual reports by South African mining companies is widespread, though variable in format, content and context. There were variances in the reporting of OHS indicators by the case mining companies which obfuscate attempts for intra- and inter-company comparisons of OHS performance. The case companies included have not attained the stated goal of zero harm in view of the historically reported and protracted incidences of fatalities, injuries and occupational diseases, a direct threat to the decent work principle. The status quo challenges all affected stakeholders, including regulators, employers, employees and unions alike, to continuously investigate measures for arresting the situation.
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- 2024
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24. Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach
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Khaya Pearlman Shabangu, Manimagalay Chetty, and Babatunde Femi Bakare
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DCMFC ,optimization ,modeling ,industrial wastewater ,Box–Behnken design ,Technology - Abstract
Microbial fuel cells (MFCs) have garnered significant attention due to their capacity to generate electricity using renewable and carbon-neutral energy sources such as wastewater. Extensive experimental work and modeling techniques have been employed to dissect these processes and understand their respective impacts on electricity generation. The driving force is to enhance MFC performance for practical applications commercially. Among the various statistical modeling approaches, one particularly robust tool is the Design of Experiments (DoE). It serves to establish the relationships between different variables that influence MFC performance and allows for the optimization of the MFC configuration and operation for scaled-up performances in terms of bioelectricity generation. This study focused on optimizing microbial fuel cells (MFCs) for bioelectricity production using industrial wastewater treatment, employing the Box–Behnken design (BBD) methodology. Through an analysis of response surface models and ANOVA tests, it was found that a combined approach of reduced quadratic, reduced two-factor interaction, and linear models yielded sound results, particularly in voltage yield, COD removal, and current density. Second-order regression models predicted optimal conditions for various parameters, with surface area, temperature, and catholyte dosage identified as critical input variables for optimization. Under these conditions, conducted by the four-factor and three-level Box–Behnken design methodology in a double-chamber MFC unit considering eight output variables—CCV yield, % COD removal, current density, power density, % TSS removal, % CE, and % PO43−—the optimum values were 700 mV, 54.4%, 54.4 mA/m2, 73.7 mW/m2, 99%, 21.2%, and 100%, respectively. At optimum operating conditions, the results revealed a desirability of 76.6% out of a total of 92 iterations. The paper highlights the effectiveness of statistical ANOVA fit-statistics modeling and optimization in enhancing DCMFC performance, recommending its use as a sustainable bioenergy source. Furthermore, validation results supported the above optimization output response findings and confirmed the viability of biorefinery wastewater as an anolyte for scaling up DCMFC bioelectricity generation.
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- 2024
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25. Killer whale acoustic patterns respond to prey abundance and environmental variability around the Prince Edward Islands, Southern Ocean
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Fannie W. Shabangu, Robyn Daniels, Rowan K. Jordaan, P. J. Nico de Bruyn, Marcel A. van den Berg, and Tarron Lamont
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Orcinus orca ,vocalizing behaviour ,acoustic occurrence ,sub-Antarctic region ,prey ,oceanographic variables ,Science - Abstract
Killer whales are apex predators with temporally and spatially varying distributions throughout the world's oceans. Their ecology and behaviour are poorly understood in most regions due to limited research, often because of logistical challenges. Here, we used a passive acoustic monitoring device to investigate the seasonal acoustic occurrence and diel vocalizing behaviour of killer whales around the remote sub-Antarctic Prince Edward Islands (PEIs), Southern Ocean. Killer whales showed diel vocalizing patterns that varied seasonally in relation to their prey abundance and social activities. Killer whale calls were intermittently detected year-round with a high number of hours containing calls in October to December, and a secondary peak in February to May, corresponding to seal prey abundance. Random forest modelling identified wind speed as the primary predictor of the occurrence of killer whale calls (with a negative correlation) while sea surface height, chlorophyll-a and sea surface temperature were moderately important. We provide the first acoustic evidence that killer whale occurrence around the PEIs might coincide with variability in environmental conditions and prey abundance. Our results provide the first indication of diel vocalizing pattern of killer whales in the Southern Ocean. This knowledge is important for understanding killer whale ecology and adaptation to the changing oceans.
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- 2024
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26. Finally seen: a rare sighting of Antarctic blue whale cow–calf pair off the west coast of South Africa
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Seakamela, S. Mduduzi, Kotze, Pieter G. H., Gumede, Nosipho C., Sibiya, Natalia, Shabangu, Fannie W., and McCue, Steven A.
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- 2022
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27. Risk factors for COVID-19-related in-hospital mortality in a high HIV and tuberculosis prevalence setting in South Africa: a cohort study
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Abdullah, Shaina, Abrahams, Fiona, Adams, Vincentius, Adnane, Fhima, Adoni, Sonia, Adoons, Dieketso Melitta, Africa, Veronique, Aguinaga, D, Akach, Susan, Alakram Khelawon, Prisha, Aldrich, George, Alesinloye, Olatunde, Aletta, Mathale Biniki, Alice, Mametja, Aphane, Tebogo, Archary, Moherndran, Arends, Felicity, Arends, Shireen, Aser, Munonde, Asmal, T, Asvat, Mohammed, Avenant, Theunis, Avhazwivhoni, Muvhali, Azuike, Magnolia, Baartman, Johanna, Babalwa, Dlava, Badenhorst, Johan, Badenhorst, Miranda, Badripersad, Bianca, Badul, Lalihla, Bagananeng, M, Bahle, Mncedisi, Balfour, Liezl, Baloyi, T C, Baloyi, S, Baloyi, Tinyiko, Baloyi, Tshepo Mpho, Banda, Thokozani, Barit, Shimon, Bartsch, Nicole, Bayat, Junaid, Bazana, Siyabulela, Beetge, Marlene, Bekapezulu, Nosindiso, Belebele, Rammala, Bella, Phala, Belot, Zanenkululeko, Bembe, Lindi Gladys, Bensch, Sonja, Beukes, Gishma, Bezuidenhout, Karla, Bhembe, Themba, Bikisha, N A, Bilenge, Ben, Bishop, Leesa, Biyela, Baphamandla, Blaauw, Cyntheola, Blaylock, Mark, Bodley, Nicola, Bogale, Power, Bokolo, Sibongile, Bolon, Stefan, Booysen, Mary, Booysen, Eldereze, Boretti, Lia, Borges, Paula, Boshoga, Millicent, Bosman, Natasha, Bosvark, Lucinda, Botes, Nicky, Botha, Adele, Botha, Chantall, Botha, Jana, botha, Chantall, Botha, Mandlakayise Irvin, Botha, Alet, Bradbury, Janet, Breakfast, Zandisile, Breed, Maria, Brenda, Molele, Brice, Moshito, Britz, Jolene, Brown, Amanda, Buchanan, T, Bucwa, Thozama, Burger, Crystelle, Busakwe, Ziyanda, Bushula, Nosiviwe, Buthelezi, Zinhle, Buthelezi, Dumsile, Buthelezi, Thubelihle, Buthelezi, Mpumelelo Basil, Buthelezi, Fundiswa Lidwina, Bux, Nadia, Buys, Christoff, Buys, Anneline, Caka, Ernestina, Canal, Armando Sanchez, Caroline, Sithole, Casper, Monrick, Cawood, Shannon, Cebisa, Oratile, Cele, Nothando, Cele, Sboniso, Cele, Sthembile Goodness, Chauke, Mkhacani, Chauke, Pinkie, Chelin, Nevil, Chen, Xiaohui, Chetty, Venmalla, Chetty, Kerisse, Cheu, Christinah, Chibabhai, Vindana, Chirima, Takudzwa, ChisaleMabotja, Mantwa, Chivenge, Charity, Choene, Ngoasheng, Choko, Mbali Nosisa, Choshi, Martin, Chowdhury, Sabbir, Christoforou, Anastacia, Chuene, S L S, Chueu, T S, Cilliers, Dale, Cilliers, Vanessa, Claassen, Marcel, Cloete, Jeané, Coelho, Chantelle, Coetzee, Carol, Coetzee, Hans Jurgens, Coetzee, Christine, Coetzee, Marelize, Coetzer, Dane, Coka, Sizwe, Colane, M, Combrink, Herkulaas, Conjwa, Songezo, Contrad, Colleen, Cornelissen, Faith, Cronje, Leezelle, Crouse, Christine, Dabi, Tshidi, Dandala, Ziyanda, Dangor, Ziyaad, Daniel, Gildenhuys, Daniel, Ngwana, Daumas, Alfred, Dauth, Madelein, David, Mongalo, Davids, Wayne, Daweti, Nozuko, Dawood, Halima, Dayile, Wandisa, De Bruin, B, De Klerk, Karin, De la Rosa, Tanya, de Nysschen, Marice, De vos, Marie, De Wet, Darien, Debising, Mohith, Deenadayalu, Darshan, Dekeda, Babalwa, Desiree, Mofokeng, Deysel, Annelise, Dhlamini, Abram, Diala, Makgethwa Dhlala, Diale, Mathapelo, Diketane, Bella, Dingani, Nosisa, Diniso, 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Finger-Motsepe, K L, Floris, Fabion, Fobo, Tseko, Fokotsane, Keresemetse, Fokwana, Duduzile Emmelda, Fords, Genevieve Marion, Fortein, Juanita, Fouche, Christine, Fourie, Rulandi, Frean, Andrew, Fredericks, Ludwig, Funda, Wandile, funjwa, kabelo, Futhane, Martha, Futuse, Amanda, Gabaediwe, Dora, Gabuza, Nonhlanhla, Galant, Janycke, Gama, Zanele, Gano, Thobile, Gardiner, Emma Cora, Gastrow, Henri, Gate, Kelly, Gaunt, Ben, Gavaza, Rikhotso, Gayi, Thapelo, Gcakasi, Nkosinathi, Gcobo, Nomusa, Geffen, Leon, Geldenhuys, S, George, Jenny, Gerber, Martha, Getyengana, Zolisa, Gigi, Nkululo, Gihwala, Radha, Gilliland, Mitchell, Gloria, Zandile, Glover, Elitia, Gokailemang, Ellen, Goosen, Suseth, Gopane, Maria, Gosa-Lufuta, Thandazile, Gosnell, Bernadett, Gouws, Sharleen, Govender, Christina, Govender, Raksha, Govender, Pearl, Govender, Sally, Govender, Roxanne, Govender, K, Govender, Savie, Govinden, Rashika, Gqabuza, Luphumlo, Gqaji, Nomthandazo, Gqetywa, Maneo, Green, Caroline, Green, Nathan, 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Sibusiso, James, Gcobisa, January, Gillian, Jeke, Andiswa, Jeremiah, Laurent, Jeremiah, L S, Jhetam, Mubeen, John, Maureen, John, Chuene, Jola, Thandiwe, Jonas, Yolande, Jonas, Anovick, Juggernath, Amilcar, Kaba, Eileen, Kabo, Venetia, Kadi, Disebo, Kaizer, Karabo, Kambule, Moshaya Peter, Kapp, Lorraine, Kau, Tshepo, Keneth, Nchabeleng, Kgabi, O, Kgafela, Tebogo Audrey, Kgakgadi, Vincent, Kgaswe, Isabella, Kgathlane, Tsholofelo, Kgetha, Vuyelwa Julia, Kgomojoo, Mmaselloane, Kgoro, B, Kgosiemang, Christinah, Kgosiencho, Gloria, Khambula, Stephen, Khan, Ariffa, Khanare, Refemetswe, Khanyase, Ncamsile, Khanyile, Nokwethemba, Kharatsi, Fillip, Khawula, Simangele, Khohlakala, Themba, Khomo, Letitia, Khoza, Isabel, Khoza, Sinethemba, Khukule, Nombulelo, Khumalo, Busisiwe, Khumalo, Tracy, khumalo, Zinhle, Khumalo, Vuyelwa, Khumalo, Delisile, Khumalo, Lebohang, Khumalo, Boitumelo, Khumalo, Thuli, Khumalo, Gugu, Khuzwayo, Bongiwe, Khuzwayo, Thembhelihle, Kidson, Hennie, Kistan, Jesne, Klaas, 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Lethoba, Tsepo Patric, Letlalo, Emission, Letlhage, Ofentse, Letshufi, D S V, Letsoalo, Dineo Fiona, Letsoalo, Seleka Jones, Letsoalo, Pennelope, Letwaba, Getrude, Linda, Sobekwa, Lipholo, Katleho, Litabe, Sabata, Lochan, Harsha, Lomax, Linda, Lombaard, Francina, Loots, Elmarie, Lourens, Ariana, Louw, Celeste, Louw, Rianna, Lubambo, Zikhona, Lubambo, Msebenzi Moises, Ludada, Gregory, Lukas, Michael, Lungu, Thembela, Lupindo, Nomvume, Lusenga, Emmah, Luthuli, Happiness, Luvuno, Zoleka Sylvia, M H, Gwangwa, Maarman, Mustafa, Mabaso, Buyisiwe, Mabaso, Cynthia, Mabitle, Morena, Mabogoane, Grace, Mabone, Kgakgamatso, Mabuza, Rueben, Mabuza, Velaphi, Madiseng, Mogantla, Madlala, Thobile, Madolo, Mashooase, Madonsela, Thabiso, Madubanya, Lesetsa, Maepa, Amukelani, Mafumana, Namhla, Mafumo, Caroline, Magadla, Pumeza, Magale, Viscah, Magaqa, Nompumelelo, Magda, Oberholzer, Magdeline, Rakgoale, Maggie, Tswai, Maginxa, Bongeka, Magoba, Cathrine Maite, Magongwa, Caroline, Magubane, Agretia, Magubane, Agretia Ntombizodwa, Magwai, R, Mahabane, D I, Mahabeer, Padmini, Mahadulula, Elsie, Mahanjana, Lungiswa, Maharaj, Amy, Mahlambi, Qedusiza, Mahlangu, Yvonne, Mahlangu, Lerato, Mahlangu, Ntombifikile, Mahlangu, Makhosazana, Mahlangu, Mahlatsi, Mahlasela, Penelope, Mahlatse, Thosago, Mahlobo, Regina, Mahole, Dikhing, Mahomed, Adam, Mahubane, Mapeu Debora, Mahume, Peter, Maifo, Lehlogonolo, Maimane, Vincent, Maimele, Petunia, Maine, Phakoe, Mainongwane, Patricia Senyanyathi, Majamani, Nomalungisa, Majozini, Amahle, Makalima, Noluthando, Makam, Nomfundo, Makamba, Khanyisa, Makan, R, Makarapa, Mashiane, Makgahlela, Malesela, Makgisa, Mogoiwa David, Makgomo, Makgoba, Makgopa, M A, Makhalema, Mabone, Makhanya, Lindokuhle Lizo, Makhanya, Philile Valentia, Makharaedzha, Tolerance, Makhathini, Nathi, Makhesi, Elizabeth, Makhubela, Cinile, Makhunga, Nkululeko Freedom, Makhupula, Nomalinge, Makhura, R R, Makola, Rangwato, Makuba, Zingisa, Makubalo, Asanda, Makumsha, Lonwabo, Makuya, George, Malaka, Levy Mmachuene, Malangeni, Themba, Malatji, M L, Malebana-Metsing, Pelonomi, Malek, Malek, Malevu, Luthando, Malgas, Juanita, Malgas, Dimakatso, Malope, Paul Makgasane, Malose, Monyeki, Maluleke, Katekani, Mambane, Kato, Mamorobela, Nthabiseng, Manamela, Kukami, Manana, Tshepo, Maneto, Sathiel, Manganye, Aron Kabelo, Mangena, Pheto, Mangoale, Anna, Mangozho, Tinotenda Florence, Manickchund, Pariva, Mankayi, Zandisile, Manning, Arthur, Manyaapelo, Kelebogile Manyaapelo, Manyane, Tabea, Manzana, Zoliswa, Manzini, Milton, Mapasa-Dube, Busisiwe, Maphumulo, Siboniso, Maphumulo, Ntombifuthi, Maponya, Sindy, Maponya, Khomotso Mumsy, Maponya, Napjadi, Maqubela, Lami, Maqubela, Lizeka, Maqungo, Vuyo, Marais, Marisa, Marais, Chantal, Maramba, Nondumiso, Mare, Annelize, Maredi, Madumetsa, Martins, Afikile, Marule, Johanna, Marumo, Refilwe, Masakona, N N, Masehla, Kedibone Vincentia, Maseko, Eric, Maselesele, Tshilidzi, Maselo, Mojalefa, Maseloa, M, Masemola, M E, Masemola, Thembi, Mashaba, Bella, Mashangwane, James, Mashao, Mantebele, Mashego, Shalom, Mashele, Lerato, Mashiane, Ester, Mashibini, Joyce, Mashilo, J, Mashiloane, Tumi, Mashishi, Charity, Mashiyi, Ngazibini, Mashudu, Khomola, Masindi, Aluwani, Maslo, Caroline, Masondo, Nduduzo, Masuku, Dumisile, Matamela, Cry, Matandela, Mirriam, Mathabela, Nontokozo, Mathabi, T, Mathe, Keitumetse, Mathebula, Mathabo, Mathebula, Catherine, Mathebula, Mdungazi Andres, Mathenjwa, Nqobizwe, Mathibe, Jane, Mathibela, Lebohang, Mathilda, Makwela, Mathiva, Khakhu, Mathobela, Mokgadi Alinah, Mathonsi, Fikile Pearl, Mathonsi, K P, Mathosa, Katlego, Matiwane, Noluvo, Matjeke, Emma, Matjiane, Bella, Matjila, Thabang, Matlala, Chidi, Matome, Petlo, Matoti, Nolusindiso, Matseliso, C, Matsemela, Dineo, Matsha, Phumeza, Matshediso, Gaalebale Prudence, Matshediso, Motsumi, Matshela, Esther, Mavuma, Bongeka, Mavundla, Pearl, Mavuso, Nomthandazo, Mawasha, Lovender, Mawelela, Rebecca, Mazibuko, Nelisiwe, Mazibuko, Phumlani, Mazubane, Lindiwe, Mbanjwa, Bavumile, Mbasa, Ayanda, Mbatha, Nosimilo, Mbatha, Zanele, Mbatha, Rudolph Zenzele, Mbedzi, Gift, Mbizi, Tatenda Trevor, Mbonambi, Khumbulani, Mboniswa, Nondumiso, Mbonisweni, Nomfanelo, Mbuilu, Jody, Mbulawa, Siyabonga, Mbutho, Zama, Mbuzi, Natasha, Mchunu, Nonkululeko, Mchunu, Cyprian, Mchunu, Nokuzola, Mchunu, Masesi Thandeka, Mciteka, Vuyokazi, Mdaka, Solly, Mdakane, Neho, Mdediswa, Siyabonga, Mdima, Melusi, Mdima Masondo, Nozipho, Mdindana, Siviwe, Mdleleni, Ntombizikhona, Mdletshe, Sibusiso, Mdoda, Gcobisa Precious, Mdolo, Ntombi, Mdontsane, Anele, Mehta, Ruchikas, Memela, Philile Rittah, Methuse, Masande, Metshile, Keatlaretse, Metuse, Pheliswa, Meyer, Anton, Meyer, Gavin, Meyer, Cameron, Mfazwe, Sisonke, Mfecane, Andiswa, Mfecane, Bongeka, Mfeka, Nelisiwe, Mgaga, Busisiwe, Mgauli, Thandiwe Portia, Mgedezi, Thembekile, Mgedezi, Vuyokazi, Mgevane, Kalipile, Mgiba, Bongni, Mgoduka, Babalwa, Mhlaba, Patrick, Mhlaba, Zeldah, Mhlanga, Ntombizodwa, Mhlinza, Vangile, Mhlongo, Nokuthula, Mhlongo, sibongiseni, Mhlotshana, Unamandla, Mikateko, Mabaso, Minnie, Helena, Mintoor, Karen, Miyeni, Bongi, M J, Mabelane, Mjethu, Rosy, Mkhize, Gloria, Mkhize, Mvuselelo, Mkhize, Ntokozo Siyabonga, Mkhize, Victoria, Mkhize, Nomkhosi, Mkhize, Nokuthula, Mkhwanazi, Mathini, Mkile, Nolwandle, Mkise, Kholofelo, Mkiya, Nokwandiso, Mkongi, Pearl, Mkungeka, Mnonopheli, Mlahleki, Hlomile, Mlibali, Nolukholo, Mlungwana, Sakhumzi, Mmachele, Jonas, Mmateka, Mashatole, Mmokwa, Molebatsi, Mmutlane, Thembisa, Mndebele, Zanele Olive, Mngomezulu, Nonhlanhla, Mnguni, Noluthando Millicent, Mngunyana, Pumza, Mngunyana, Nomxolisi, Mngxekeza, Ntombebongo, Mnisi, Zenzele, Mnqayi, Hlengiwe Precious, Mnqayi, Phumzile, Mntungwa, Thabiso, Mnyaka, Siya, Mnyakeni, Ntombikayise, Mnyamana, Vuyani, Mnyipika, Nomzingisi, Moabelo, Koena, Moatshe, Mmakgoshi Alseria, Mochaki-Senoge, Jennifer, Moche, Sharon, Mocwagae, Tebello, Modibane, Koeikantse, Modimoeng, Tebogo godfrey, Modisa, Obakeng, Modisane, Itumeleng, Modise, Olebogeng, Modjadji, Makaepeaa Flovia, Modupe, Sharon, Moeketsi, Maja, Moeketsi, Ntswaki, Moeng, Kereditse Kingsley, Mofamere, Naledi Nthabiseng, Mofokeng, Samuel, Mofokeng, Thabo, Mofomme, Jonas, Mogakane, Vicky, Mogale, Lehlohonolo, Mogapi, Audrey, Mogashoa, Thomas, Mogatla, Mphaka James, Mogoale, Kgaladi, Mohajane, Dikeledi Maggie, Mohapi, Nkuba, Mohatsela, Mthoamihla, Mohlala, Irene, Mohlala, Daphney, Mohlamonyane, Mpho, Mohutsiwa, Bonolo Millord, Moipone, Selemela, Moisi, Tshepang, Mojalefa, Nelly, Moji, Vuyo, Mokangwana, Buhle, Mokgabo, Matloa, Mokgaetji, Manaka, Mokgaotsi, Jane, Mokgoro, Neo Theodore, Mokhatla, Thalitha, Mokhele, Lerato Lovedalia, Mokhema, Sheila, Mokoena, Mamoya, Mokoena, Mojalefa, Mokome, Lleka, Mokone, Cynthia, Mokono, Ipeleng, Mokonyama, Thabiso, Mokori, Josiah, Mokuena, Dolores, Mokumo, Danny, Mokwena, Oddy, Mokwena, Kgaogelo, Mokwena, Kgantshi Sam, Mokwene, Lebogang, Molate, Thato Elliott, Molebalwa, Ditoche, Molefe, Boingotlo, Molehe, Kgopa Stanley, Moleme, Kgomotso, Moliane, Sarah, Moloi, Fanyana, Molorane, Retshepile Joseph, Molotsi, Glenda Tsholanang, Molukanele, Lerato, Monareng, Joy, Moncho, Thapelo, Monica, Modiadie, Monnane, Refilwe, Monqo, Andile, Montewa, Neo, Montsioa, Kgalalelo, Monyaki, Reitumetse, Monyane, Masekhobe Jeanett, Monyela, Lipson, Moodley, Yudeshan, Moodley, Kriesen, Moodley, Kaira, Mooka, Boitumelo Donald, Moonsamy, Prea, Moopanar, Simmi, Moore, David, Mophethe, Lineo, Moremedi, Tshegohatso, Moremong, Kealeboga, Morgan, Nthangeni, Moripa, Egma, Morris, Lulamile, Mosala, Me. A.M., Mosana, Thabo, Mosase, Alice, Mose, Yolanda, Mosehlo, Maponya, Moseki, Mothusi, Moshabe, Mojalefa David, Moshai, D A, Moshani, Mbulelo, Moshani, Pelisa, Mosima, Ledwaba, Mosima, Ezrom, Mosoma, M P, Motaung, Lebohang, Motaung, Mokete, Motaung Xhama, Thozama Charmain, Motha, Purine Khethiwe, Motimele, Lerato, Motimeng, Boitumelo, Motladiile, Shirley, Motlhabane, Otsile, Motlhamme, Joshua, Motloba, Mandla, Motse, Kagiso, Motshegoa, Sophia, Moutlana, Edward, Mouton, Irma, Moya, Zanele, Moyake, Nomonde, M P, Maja, Mpete, Jenny, Mpfuni, Luamba Meltha, Mphahlele, Seputule Mphahlele, Mphake, Mashadi, Mphanya, Ephraim Letlhogonolo, Mphaphuli, Mashudu, Mphela, Tebogo Chwene, Mpontshane, MS, Mqotyana, Thabile, Mqungquthu, Babalwa, Msane, Noluthando Busane, Mseleku, Malusi, Msibi, Sibusiso, Msibi, Mancele, Msibi, Thulisile, Msibi, Siyabonga Linda, Msiza, Clement Nhlanhla, Msomi, Lungelo, Mtatambi, Mandlenkosi, Mthathambi, Thembisa, Mthembu, December, Mthembu, Nhlahla, Mthembu, Fezile Mbali, Mthembu, Lungiswa, Mthethwa, Nompumelelo Petunia, Mthimkhulu, Khulekani, Mthuli, Lungani Percival, Mthunzi, Ashley, Mtolo, Xolani Sydney, Mtolo, Nomonde Precious, Mtshali, Linda, Mtwa, Neliswa, Mtyobile, Fezeka, Mtyobile, Kanyisa, Mudau, Mpfariseni, Muemeleli, Magwabeni, Mulaudzi, Isaac, Mulaudzi, Rebecca, Mulaudzi, Mhlelekedzeni, Muligwe, Dakalo Rejoyce, Muponda, Blessing, Mushadi, Mmbangiseni Stella, Mushid, M, Muthaphuli, Konanani, Muthavhine, J, Muthika, Mpho, Mvelase, Samkelisiwe, Mvelase, Vusi, Mwehu, Laurent Kayumba, Myaka, Thabile, myburgh, Magriet, Mzamo, Zimkhitha, Mzawuziwa, Fezeka, Mzini, Mfundo Lunga, Mzizana, Oscar, Mzobe, Ntokozo, Mzobe, Thokozile, Mzobe, Zamaswazi, Mzwandile, Mtimkulu, Naby, Fathima, Naicker, Keshnee, Naicker, Pregashnie, Naicker, Saroja, Naicker, Pershen, Naicker, Saiyen Virgil, Naidoo, Ria, Naidoo, Sam, Naidoo, Mergan, Naidoo, Kamalambal, Naidoo, Aroomugam, Naku, Sivuyile, Nakwa, Firdose, Nancy, Masoga, Nathan, Rita, Naude, Maritsa, Ncaza, Gcobisa, Ncaza, Aviwe, Ncha, Relebohile, Ncoyini, Yanelisa, Ncube, Snothile, Ndaba, Mrs, Ndaba, Vusumuzi, Ndaba, Mmapula, Ndawonde, Siziwe, Ndevu, Ziphozihle, Ndhlovu, Nonhlanhla Faith, Ndima, Simphiwe, Ndlela, Sindisiwe, Ndlela, Thobsile P, Ndlovu, Nobuhle, Ndlovu, Nwabisa, Ndlovu, Virginia Dipuo, Ndlumbini, Sombekhaya, Nduli, Khululiwe, Nduli, Priscilla Nontokozo, Ndwambi, Michael, Nel, Jeremy, Nel, Rina, Nel, Lizelle, Nemanashi, Ntsundeni florah, Nemudivhiso, Usinkhangwe Nyaphophi, Nemutavhanani, Joyce Nemutavhanani, Nene, Jabu, Nene, Xolani, Netshilonga, David, Netsianda, Rendani, Newton, Charmaine, Ngalo, Vuyo Leroy, Ngani, Ncumisa, Ngcakaza, Thabisa Monica, Ngcobo, Thamela, Ngcobo, Trulove Nonhlanhla, Ngcobo, Richards, Ngcobo, Gcinile, Ngcobo, Guguletu, Ngetu, Thozama, Ngewu, Pinkie, Ngobeni, Tshepo, Ngobeni, Providence, Ngobeni, Khanyisile, Ngobeni, Prudence, Ngobese, Thembisile, Ngomane, Tracy, Ngondo, Nolusindiso, Ngubane, Nokukhanya, Ngubane, Sithembiso, Nguse, Ntombizodwa Praxedise, Ngwane, Tholakele, Ngwasheng, Elizabeth, Ngwenya, Siphamandla, Ngwenya, Gugu, Ngwenya, Nomthandazo, Ngwenya, Themba, Ngwenya, Eva, Ngxola, Zintlanu, Nhabe, Tshegofatso, Nhlabathi, Jabulile, Nhlangwana, Ishmael, Nhlapo, Sithembile, Nick, Matlala, Niemand, Vicky, Nienaber, Carina, Nix, Louise, Njikelana, Chumisa, Njomi, Masiza, Nkabinde, Lucia, NKABINDE, M, Nkabiti, Boitumelo, Nkabule, Gugu, Nkadimeng, Mankopodi, Nkanjeni, Nonkanyiso, Nkatlo, Palesa Portia, Nkewana, Bongani, Nkhwashu, Audrey, Nkoana, Ngokoana, Nkoane, Mmathapelo, Nkogatse, M, Nkomo, Fezile, Nkomo, Ntando, Nkonyane, Nontobeko, Nkosi, Sydney, Nkosi, Ntombikayise, Nkosi, Phumzile, Nkosi, Ntombifuthi, NKOSI, TINTSWALO, Nkosi, ML, Nkosi, Godfrey, Nkosi, Amukelani, Nkosi, Fikile Vinoliah, Nkosi, Mbali, Nkosi, Nomcebo Lucia, Nkosi, Siphokazi, Nkuhlu, Amanda, Nkumane, Phumzile, Nkuna, Malebo, Nkwakwha, Wendy, Noge, Sesi, Nolte, Elizabeth, Nomawabo, Peko, Nombita, Malibongwe, Nophale, Nandipha, Nothnagel, Jeanetta, Novokoza, Bongiwe, Nqaphi, Zanele, Nqondo, Thobekile, Nqwelo, Siphokazi, N S, Nkoana, Ntabeni, Sindiswa, Ntabeni, Mr, Ntampula, mawethu, Ntebe, Mthutuzeli, Ntela, Mokwabo, Ntimbane, Hezekiah, Ntintsilana, Xolisa, Ntleki, Patrick, Ntobela, Zanele, Ntombela, Bandile, Ntombela, Zamaswazi, Ntombela, Khonelihle Zandile, Ntombela, Praisegod Samkelo Thobani, Ntonintshi, Lindiwe, Ntseane, Dipuo, Ntseane, Thobeka, Ntsham, Xolelwa, Ntshele, Mbalenhle, Ntshewula, Amanda, Ntsoko, Zinzi, Ntsoto, Athini, Ntuli, Nomsa, Ntuli, Nokwazi, Ntuli, Nomvula, Ntuli, Andrew Diffar, Ntuli, Faith, Nurnberger, Margrit, Nxala, Ntsikelelo, Nxasane, Sithandiwe, Nxumalo, Thanda, Nyathi, Xolani, Nyawula, Nontobeko, Nzama, Nhlakanipho, Obed, Maila Nkuneng, Ogwal, Florence, Olifant, Maureen, Oliphant, B, Olive, Monota, Olyn, Kagisho, Omoighe, Raymond, One, Phumeza, Oscar, Ratombo, Owen, Nkuna, P, Mailula, Padayachee, Nalini, Padayachy, Vasaily, Pakade, Ntombizakhe, Palime, Mosiuoa, Palisa, Jane, Parker, Arifa, Parkies, Lesenyeho, Parrish, Andy, Patel, Nilesh, Pather, Anastasia, Patience, Mkhombo Tsakani, Patzke, Marisa, Pawuli, Akhumzi, Pelako, Ntandokazi, Penrose, Phaswana Sibasa, Peppeta, Litha, Pershad, Santosh, Pertunia, Makheda, Pertunia, Nkuna, Perumal, Dane, Peter, Mongameli, Peters, Justin, Petlane, Vatiswa, Petrus, Harideen, Phahladira, Kgomotso, Phakisa, Matebesi John, Phale, R, Phathela, Livhuwani, Phillip, Sekate Daniel, Phiri, Beverly, Phiri, Mapule Precious, Phokane, Thapelo, Phokoane, Frank, Pholosho, Moele, Phooko, Sekoro, Phooko, Sekodi Geoffrey, Phutiane, Maponya, Pillay, Faiza, Pillay, Melanie, Pillay, Sayuri, Pillay, C R, Plaatjie, Zikhona, Pootona, James, Potgieter, Samantha, Potgieter, Marius, Precious, Mulaudzi Mulatedzi, Pretorius, Paul Janus, Prozesky, Hans, Pule, Mokhethi, Punwasi, Jayshina, Putzier, Dot, Qankqiso, Lutho, Qebedu, Siphokazi, Qhola, Phozisa, Qotoyi, Ntombesithathu, Qotso, Sipho Victor, Qwabe, Zanele, Rabie, Helena, Rabothata, Phoebe, Rachoene, Christina, Radana, Mteteleli, Radebe, Maria, Radebe, Dr. Valentino, Radebe, Nonkululeko, Radinne, Ella, Raduvha, Sherly, Raghunath, Shamintha, Rajagopaul, Claudine, Rakgwale, Mary, Ralethe, Malumbete Michael, Ralimo, Kenneth, Ramafoko, Motlalepule, Ramagoma, Maduvhahafani, Raman, Charlotte, Ramavhuya, Dr, Rambally, Molly, Ramdeen, Nivasha, Ramdin, Tanusha, Rameshwarnath, Sharita, Ramkillawan, Yeishna, Ramotlou, Rampedi, Faith, Rampersad, Vijayluxmi, Ramuima, Avhashoni, Ranone, Noluthando, Rapasa, Mabohlale Portia, rapelang, Mpharoane, Raphaely, Nika, Rashokeng, Lesiba, Rashopola, Caroline, Ratau, Tebogo, Ratau, M, Ratshili, Mpfariseni David, Rautenbach, Elmari, Ravele, Rofhiwa, Reachable, Johannes, Rebecca, Peta Mmalahla, Reddy, Kessendri, Redfern, Andrew, Reed, Robertha, Rees, Mumsy, Reji, Dr, Reubenson, Gary, Rewthinarain, Veena, Rheeder, Paul, Rhulani, Nkonayani, Richard, Mufamadi, Rikhotso, J S, Rikhotso, Shatimone Beverley, Robert, Lavhelani Ndivhaleni, Roto, Noncedo, Ruder, Gideon, Rugnath, Kapil, Ruiters, Lizette, Ruiters, Mina, Russell, Sue, Ruwiza, Lynn, R Y, Molokoane, Saaiman, Mandy, Sabela, Emmanuel, Sadiq, Lerato, Saki, Litha, Salambwa, Hyppolite, Samjowan, Menitha, Samodien, Nazlee, Samuel, Rakgolele, Sandile, Fakudze, Sanelisiwe, Cekuse, Sani, Mandlankosi, Sawuka, Simangele, Schoeman, Lelani, Scholts, Magriet, Schroder, Ronel, Sebalabala, Mamotetekoane, Sebati, Selwalenkwe Collet, Seboko, Jacoline, Sebuthoma, Wilheminah, Segami, Annah, Segokotlo, Ruth, Sehloho, MR, Seisa, Khutjo, Sekgobela, Antony, Sekhosana, Monica, Sekonyela, John, Sekoto, Mpho, Sekulisa, Naledi, Sekwadi, Mokgadi Vanessa, Selaelo, Lebogo, Selatlha, Johannes, Selekolo, Kgomotso, Selfridge, William, Semenya, Lucy, Sengakane, Ivy, Sengata, Masabata, Sentle, Petronella, Seoketsa, Malebo, Seonandan, Pratheesha, Serumula, Thomas Mambushi, Setheni, Nkululeko, Setlale, Refiloe, Setlhodi, Tumediso, Setlhodi, Barbara, Setloghele, Robert, Sewpersad, Aarthi, Sewpersadh, Ryan, Shabalala, Phumlile, Shabangu, Owen, Shabangu, Kungesihe, Shabangu, Harriet Sbonangaye, Shabangu, Thokozani, Shadi, Clifford, Shaik, Hasifa, Shale, Tseliso, Shandu, Qedani, Shandu, Nomvelo, Shange, Ntswaki Marcia, Shenxane, Abongile, Sherriff, A, Shezi, Sebenzile, Shezi, Thenjiwe, Shihangule, Scally, Shikwambana, Cheyeza, Shoba, Lungisani, shokane, Kamogelo, Sibande, Nora, Sibeko, Lydia, Sibeko, Xolani, Sibiya, Zanele, Sibiya, Mncedisi, Sibuta, Sphamandla, Sifumba, Thembakazi, Sigcau, Sipho, Sigila, Lutho, Sihentshe, Kayakazi, Sihlangu, Bongani, Sikhakhane, Daisy, Sikhakhane, Shaun Nhlanhla, Siko, Mbali, Sikonje, Sipho, Simanga, Khumbulekile, Simango, Nomsa, Simela, Thulisile, Simelane, Ntombikayise, Singh, Sashah, Singh, Marjorie, Singh, Ragani, Singh, Shash, Singh, Anita, Sithole, Hitekani, Sithole, Senzekile, Sithole, Ntokozo Danielle, Sithole, Koketso Maxwell, Situma, Jonnie, Sivraman, Annie, Siwela, Katekani, Siyewuyewu, Nonqubela, Sizeka, Maweya, Siziba, Nonceba, Skhosana, Andrew, Skhosana, Khanyisile, Skhosana, Rorisang, Skoko, Tandiwe, Slabbert, Sunet, Smangaliso, Ntombela, Smedley, Christine, Smit, Lydia, Smit, Natassia, Smit, Lizelle, Smit, Michelle, Smith, Fasie, Smith, Lizzie, Smith, Sunell, Smith, Cassius, Smuts, Stefan, Sofe, Ayanda, Solomon, Khobane, Solomon, L J, Sombani, chauke, Songca, Richard, Sontamo, Anga, Soorju, Supriya, Sopazi, Zubenathi, Soqasha, Brian, Sosibo, Bongiwe, Sotsaka, Ntsika, Soula, Mandy, Spoor, Simon, Stacey, Sarah, Stali, Asanda, Stephina, Mutele Mmboniseni, Steup, Myra, Steven, Sinoxolo, Stevens, AW, Stevens, Vincent, Steyn, Dewald, Steyn, Bianca, Stocks, Pat, Stolk, Henk, Stoltz, Alida, Strehlau, Renate, Stroebel, Anneke, Strydom, Loraine, Strydom, Jean-Marie, Strydom, Anton, Strydom, Ursula, Sunnyraj, Midhu, Swana, Nwabisa, Swanepoel, Winnie, Swanepoel, Suzan, Swartbooi, Elsie, Swartz, Estley Swartz, Syce, Casandra, T E, Shihambi, Tabane, Joyce, Tabane, N E, Tawana, Mrs, Tebello, Ntene, Tembe, Siphosetu Wiseman, Terblanche, Samantha, Thabede, Ntombifuthi, Thabelo, Nkhumeleni, Thabethe, Sibusiso, Thabo George, Lekhanya, Thare, Keorapetse, Thebogo, Makofane, Thekiso, Lerato, Theko, Lloyd, Themba, Celimphilo Zandi, Theron, Danie, Theron, Henda, Theron, Ilze, Thingathinga, Thandiwe, Thlabadira, M M, Thoka, Dikeledi, Thokwana, Zanele, Thom, Gustav, Thubakgale, Mamphot Joel, Thwala, Theodora, Thys, P, Tieho, Monethi, Timothy, Matodzi, Tintswalo, Ndlovu, Tivana, Babalwa, Tladi, Molefi, Tokota, Bongiwe, Toni, Simthandile, Torres, Ariel, Toubkin, Mande, Tsatsi, Marinda, Tshabalala, Khanyisile, Tshamase, Nozibele, Tshefu, Gontse, Tshegofatjo, Makgoga, Tshikomba, Given, Tshilo, Thapelo, Tshira, Lerato, Tshirado, S T, Tshisikule, Maipfi, Tsoke, G, TSOKE, N, Tsoko, Alatha, Tsotetsi, Mosele, Tsubella, Sandeva, Tuswa, Noxolo, Tutse, Maipato, Tutu, Nomayenzeke, Twala, Sphephelo, Twala, Nhlanhla, Twala, Simphiwe, Ubisi, John, Unathi, Tefo, Van Aswegen, A, van der Merwe, Marietjie, van der Merwe, Trudie, van der Plank, Patience, van der Spuy, Elmarie, Van Der Westhuizen, Linda, Van Der Westhuizen, Adele, van der Westhuizen, Talana, van der Westhuyzen, Mene, Van Dyk, Thea, van Heerden, Ingrid, van Jaarsveld, Ryno, Van Lill, M, van Niekerk, Heidi, van Niekerk, Ben, van Rensburg, Amanda, van Schallwyk, Judy, Van Sensie, Zeitschke Yarnrich, van Vuuren, Magda, van Vuuren, Cloete, Vandu, Olga Funiswa, Vane, Mandisa, VanZyl, Lucia, Variava, Ebrahim, Veerus, Mariam, Velapi, Nokhwezi, Veleko, Sebina, Velezantsi, Z, Venter, Retha, Vergottini, Corlia, Vermeulen, Inga, Vidah, Liabara Lufuluvhi, Vilakazi, Bongani, Vilakazi, Treasure N, Vilakazi, Mbalenhle Precious, Viljoen, Karen, Viljoen, Werner, Volschenk, Zuretha, Vos, Angelo, V V, Matlala, Walters, Jacques, Webb, Kate, Welsh, John, Wessels, D, Wheller, Judy, White, Fundile, White, Priscilla, Whyte, Carmen, Willemse, Ansie, William, Sape, Williams, Daniel, Williams, Kamielah, Williams, Mercia, Williamson, Anne, Wilson, Cherade, Wolff, Boipelo, Wray, Michelle, Xaba, Ntombizonke B, Xaba, Thabang Jabulani, Xiniwe, Thanks, Xoliswa, Mtshali, Xulu, Funokwakhe, Xulu, Gibson, Yam, Sandlakazi, Zakhura, NM, Zareloa, Mashela, Zinto, Sive, Zinziswa, Dyibeni, Ziselo, Lulamile, Zitha, Zakhele, Zitha, Emmanuel, Zokufa, Anele, Zondi, Innocent, Zondi, Sikhumbuzo Bernard, Zondi, Sbuyi, Zondi, Thulani, Zongola, Wandiswa, Zühlke, Liesl, Zulu, Zandile, Zulu, Lungelo, Zulu, Thandeka, Zulu, Slindili, Zulu, Nkosinathi, Zuma, Angel, Zungu, Precious, Zungu, Pamela, Zungu, Melusi, Zungu, Priscilla, Zwakala, Bongo Lihle, Zwane, Antonia, Zwane, Promise, Zwane, Muziwendoda, Zwane, Hlengiwe Priscila, Zwane, Nomgcobo, Jassat, Waasila, Cohen, Cheryl, Tempia, Stefano, Masha, Maureen, Goldstein, Susan, Kufa, Tendesayi, Murangandi, Pelagia, Savulescu, Dana, Walaza, Sibongile, Bam, Jamy-Lee, Davies, Mary-Ann, Prozesky, Hans W, Naude, Jonathan, Mnguni, Ayanda T, Lawrence, Charlene A, Mathema, Hlengani T, Zamparini, Jarrod, Black, John, Mehta, Ruchika, Chikobvu, Perpetual, Muvhango, Ntshengedzeni, Strydom, Riaan, Adelekan, Tsholofelo, Mdlovu, Bhekizizwe, Moodley, Nirvasha, Namavhandu, Eunice L, Venturas, Jacqueline, Magula, Nombulelo, and Blumberg, Lucille
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- 2021
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28. List of contributors
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Abazari, Morteza, primary, Abdel-Ghany, Shaimaa, additional, Abdel-Hakeem, Mohamed, additional, Afolabi, Deborah Omowunmi, additional, Agwamba, Ernest C., additional, Ahmad, Jalal, additional, Akintelu, Sunday Adewale, additional, Ansari, Mojtaba, additional, Ashouri, Fatemeh, additional, Azimi Vaziri, Nazanin, additional, Banda, Lazarus Obed Livingstone, additional, Barabadi, Hamed, additional, Behnia, Parisa, additional, Boudier, Ariane, additional, Bunin, Victor D., additional, Chakrabartty, Ishani, additional, Chamgordani, Nasrin Zarei, additional, Chopra, Hitesh, additional, Clarot, Igor, additional, David, Dennisha Magdalene, additional, Evstigneeva, Stella S., additional, Fang, Lizhen, additional, Fedonenko, Yulia P., additional, Ghaffari, Azadeh, additional, Ghotekar, Suresh, additional, Guliy, Olga I., additional, Iqbal, Junaid, additional, Jamshidi, Navid, additional, Jounaki, Kamyar, additional, Kaka, Mary Oluwatosin, additional, Kumar, Govindarajan Venkat, additional, Lim, Vuanghao, additional, Lourenço, Isabella M., additional, Makgopa, Katlego, additional, Manicum, Amanda-Lee Ezra, additional, Mobaraki, Kiana, additional, Moghimi, Hamid Reza, additional, Mohanta, Yugal Kishore, additional, Montet, Didier, additional, Mortazavi, Seyedeh Maryam, additional, Nayak, Debasis, additional, Olugbeko, Seyifunmi Charles, additional, Ovais, Muhammad, additional, Oyebamiji, Abel Kolawole, additional, Pieretti, Joana C., additional, Prasad, Abhinav, additional, Rabbanian, Dorsan, additional, Rehman, Muhammad Maqsood Ur, additional, Roy, Ashim Chandra, additional, Sabit, Hussein, additional, Saleemi, Mansab Ali, additional, Saravanan, Muthupandian, additional, Seabra, Amedea B., additional, Shabangu, Tholakele, additional, Shai, Leshweni Jerry, additional, Soltani, Kasra Morad, additional, Soltani, Maha, additional, Tabatabaei, Mahsa Sayed, additional, Tortella, Gonzallo R., additional, Vadie, Tina, additional, Vahidi, Hossein, additional, and Vikramdeo, Kunwar Somesh, additional
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- 2023
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29. Nanotechnology-based therapeutics to combat biofilms and antibacterial resistance in chronic wound infections
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Manicum, Amanda-Lee Ezra, primary, Makgopa, Katlego, additional, Shabangu, Tholakele, additional, Kumar, Govindarajan Venkat, additional, Agwamba, Ernest C., additional, Shai, Leshweni Jerry, additional, and Ghotekar, Suresh, additional
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- 2023
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30. Acoustic detectability of whales amidst underwater noise off the west coast of South Africa
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Shabangu, Fannie W., Yemane, Dawit, Best, George, and Estabrook, Bobbi J.
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- 2022
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31. Metagenomic Insights into Pollutants in Biorefinery and Dairy Wastewater: rDNA Dominance and Electricity Generation in Double Chamber Microbial Fuel Cells.
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Shabangu, Khaya Pearlman, Chetty, Manimagalay, and Bakare, Babatunde Femi
- Abstract
This study evaluates the potential of biorefinery and dairy wastewater as substrates for electricity generation in double chamber Microbial Fuel Cells (DCMFC), focusing on their microbial taxonomy and electrochemical viability. Taxonomic analysis using 16S/18S rDNA-targeted DGGE and high-throughput sequencing identified Proteobacteria as dominant in biorefinery biomass, followed by Firmicutes and Bacteriodota. In dairy biomass, Lactobacillus (77.36%) and Clostridium (15.70%) were most prevalent. Biorefinery wastewater exhibited the highest bioelectrochemical viability due to its superior electrical conductivity and salinity, achieving a voltage yield of 65 mV, compared to 75.2 mV from mixed substrates and 1.7 mV from dairy wastewater. Elevated phosphate levels in dairy wastewater inhibited bioelectrochemical processes. This study recommends Biorefinery wastewater as the most suitable purely organic substrate for efficient bioelectricity generation and scaling up of MFCs, emphasising the importance of substrate selection for optimal energy output for practical and commercial viability. [ABSTRACT FROM AUTHOR]
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- 2025
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32. The offense characteristics of maternal filicides in eSwatini: adding to Resnick's classification model.
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Shabangu, Sifiso and Moen, Melanie
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PREGNANT women ,BIRTHMOTHERS ,CHILD murder ,COURT records ,TRADITIONAL societies - Abstract
Introduction: Maternal filicide, the murder of a child by a mother, is a complex phenomenon. Relatively little is known of filicide on the African continent, especially in eSwatini. This study highlights the complex dynamics at play when these crimes are committed. Methods: This retrospective study explored offense characteristics of maternal filicide cases in eSwatini from 2005 to January 2024. Thirty-one cases were identified through court documents and news reports. Content analysis was conducted on these cases. Results: The study revealed that socio-cultural factors such as the role of a woman in society and traditional beliefs contributed to these crimes. Poverty and contextual challenges also contributed to the systemic reasons for these murders. Relationship challenges featured prominently. A unique finding in this study was the use of poison by biological mothers in all the filicide-suicide attempts. Discussion: We argue for the inclusion of an additional socio-cultural category to Resnick's classification model. Ultimately, there is a need for further exploration of filicide in eSwatini and other contexts. This would aid in identifying risk factors in pregnant mothers, in young mothers, among couples, and within socio-cultural practices. [ABSTRACT FROM AUTHOR]
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- 2024
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33. Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach
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Shabangu, Khaya Pearlman, primary, Chetty, Manimagalay, additional, and Bakare, Babatunde Femi, additional
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- 2024
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34. First report of target‐site resistance to glyphosate in Amaranthus hybridus L. in the Republic of South Africa
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Shabangu, Nhlanhla M., primary, Simelane, Nonduduzo A., additional, Reinhardt, Carl F., additional, Marais, Diana, additional, and Vorster, Barend J., additional
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- 2024
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35. Survey of the perceived treatment gap in status epilepticus care across Sub-Saharan countries from the perspective of healthcare providers
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Marshall, Christopher, Olaniyan, Tolu, Jalloh, Alhaji Alusine, Jabang, John N., Kirunda, Annet, Njohjam, Mundih Noelar, Olusola, Bankole Murtala, Karway, Thomas z., Shabangu, Edward, Kagema, Joan, Malunga, Andrew, Kazadi, Prince, Kumwenda, Millie, and Kinney, Michael
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- 2021
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36. Understanding the performance of a pan-African intervention to reduce postoperative mortality: a mixed-methods process evaluation of the ASOS-2 trial
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Biccard, Bruce M., du Toit, Leon, Lesosky, Maia, Stephens, Tim, Myer, Landon, Prempeh, Agya BA., Vickery, Nicola, Kluyts, Hyla-Louise, Torborg, Alexandra, Omigbodun, Akinyinka, Ademuyiwa, Adesoji, Elhadi, Muhammed, Elfagieh, Mohamed, Mbwele, Bernard, Ulisubisya, Mpoki, Mboma, Lazaro, Ashebir, Daniel Z., Bahta, Mahlet Tesfaye, Hassen, Mohammed, Teferi, Mikiyas, Seman, Yakob, Zoumenou, Eugene, Hewitt-Smith, Adam, Tumukunde, Janat, Munlemvo, Dolly, Morais, Atilio, Basenero, Apollo, Ndarukwa, Pisirai, Ouerdraogo, Nazinigouba, Chaibou, Maman Sani, Zarouf, Mohyeddine, El Adib, Ahmed Rhassane, Gobin, Veekash, Sanogo, Zimogo, Coulibaly, Youssouf, Ngumi, Zipporah, Fadalla, Tarig, Iradukunda, Cynthia, Barendegere, Vénérand, Smalle, Isaac O., Bittaye, Mustapha, Samateh, Ahmadou Lamin, Elfiky, Mahmoud, Fawzy, Maher, Mulwafu, Wakisa, Msosa, Vanessa, Lopes, Lygia, Antwi-Kusi, Akwasi, Sama, Hamza D., Forget, Patrice, van Straaten, Dawid, Pearse, Rupert M., Puchert, Marichen, Rolt, Lucy, Schwebler, Kris, Kabambi, Freddy, Mabotja, Tebogo, Cobas, Leandys, Freitas, Albino, Antunes, Maria, Cabo, Bartolomeu, Paulo, Domingos, Camongua, Carlos, Avognon, Yvette, Marcos, Osseni, Kintomonho, Raymond, Demahou, Onesime, Hounsa, Gisèle, Chobli, Hugues, Fassinou, Elie, Zoglobossou, Aurore, Tchaou, Blaise, Tchegnonsi, Charles, Amadji, Fifame, Bossa, Francine, Ahounou, Ernest, Alao, Djima, Odérémi, Roushdane, Montairou, Afissatou, Gbehade, Oswald, Tobome, Romaric, Boukari, Adam, Bakantieba, Patrick, Sambo, Arouna, Lionelle, Fanou, Gilbert, Nounagnon, Attinon, Julien, Klikpezo, Roger, Dadjo, Aumar, Fanou, Dénis, Hounkpe, Gilberte, Fafana, Bachabi, Nguilu, Néné, Dossou-Yovo, Bodourin, Segla, Chantal, Toko, Mohamed, Gnele-Dedewanou, Evelyne, Noukounwoui, Michel, Yado, Ethienne, Gouroubéra, Timothé, Adjignon, Valéry, Mewanou, Serge, Tchomgang, Aïcha, Agossou, Urielle, Soton, Fernand, Azanlin, Charbel, Zomahoun, Lidwine, Kabore, Rawéléguinbasba Armel Flavien, Savadogo, Salam, Sanou, Fatou Fleur Rosine, Belém, Farid, Hien, Victoria, Bougouma, Cheik Tidiane Hafid W., Ouattara, Sie Ahmed, Kabore, Mariam Bambara, Nazinigouba, Ouedraogo, Bonkoungou, Papougnezambo, Lankoandé, Martin, Traoré, Mireille, Sawadogo, Patrick, Wenmenga, Inès, Kinda, Boureima, Simporé, André, Sapo, Christian, Traore, Salah Idriss, Dipama, Haoua, Kaboré, Lydie WR., Napon, Salifou, Kaboré, Télesphore G., Louré, Arouna, Tondé, Pélagie PP., Zoundi, Christian, Lankoande, Martin, Sanou, Harouna, Ndikumana, Remy, Nsengiyumva, Carlos, Sund, Gregory, Niyukuri, Alliance, Kwizera, Axel, Niyondiko, Jean-Claude, Kilembe, Adolphe Manzanza, Ilunga, Jean Pierre Mwema, Sarah, Nehema Hailemariam, Makeya, Gabriel Mubobo, Mwepu, Idesbald Mwebe, Likongo, Ted Botawaosenge, Mvwala, Richard Kapela, Mubunda, Raphael Nzau Kapend, Mukuna, Noellie Kanka, Pembe, Julie Djondo, Ndaye, Nicolas Lumuanga, Amisi, Eric Bibonge, Madika, Mike Ilunga, Lungela, Joe Kembo, Mayemba, Didier Ndonda, Diyoyo, Philomene Mamba, Ngalala, Alex Mbo, Mukenga, Martin Mamba, Kabuni, Patricia Tito, Mpoto, Dany Bolimo, Mole, Herve Inesnku, Keby, Louise, Buti, Oria Andavo, Phaka, Anselme, Mayenge, Belinda, Kalongo, Jean Jeacques Kabuley, Mawisa, Timothe Kemfuni, Ngwizani, Rodrigue Tondo, Leya, Kuyala, Sanduku, Dieudonne Kisile, Mawisa, Timothe Nkemfuni, Mfumu, Coco Nseke, Bolenge, Mbuta, Kabuce, Desire Kinzenzengu, Kintieti, Patrick, Mbuluku, Amelia, Mahuwa, Vicky, Mabiala, Tharcice Khonde, Ngoy, Guilain, Boloko, Patrick, Mvwama, Nono Mazangama, Kengbanda, Jose, Mushimbonga, Pitchou, Kuhapala, Blaise, Marcel, Nzosani, Guylain, Kienze, Mboma, Gerard, Sagboze, Sandra Zalambo, Manika, Michel Muteya, Kigayi, Jean Pierre Mumbere, Cishugi, Roger Mukanire, Mugisho, Placide Buhendwa, Baguma, Roger, Kongolo, Moïse, Mbayabu, Michel Mandungu, Muamba, Crispin Mukendi, Kapinga, Edmond Banema, Kapinga, Vasco Ngolela, Nsumpi, Guylain Tshimanga, Odia, Patrick Kanda, Bingidimi, Salomon, Kpengbemale, Gilbert, Imposo, Desire Hubert Bofunga Bosonga, Matondo, Patricia, Lelo, Servet, Kalambayi, Jeremie, Abdel-Ghaffar, Mohamed, Soliman, Abdelrahman, Abdelrahman, Mostafa, Shehata, Sameh, Rabee, Alia, Heba, Mohamed Abou, Abdelfattah, Mohamed Rabei, Ghoniem, Tamer Ahmed Maher, Shehata, Sherif M.K., Lotfy, Mohamed, ElHaddad, Ahmed, Gebremeskel, Bereket, Fisseha, Girmay, Abay, Mebrahtu, Bahrey, Degena, Hika, Assefa, Ali, Abdurezak, Moges, Kindie, Ahmed, Jemal, Abdisa, Desalegn, Megersa, Abebe, Abayne, Wendwosen, Berhane, Haftom, Esayas, Reiye, Kifle, Fitsum, Desita, Kokeb, Addise, Abebe, Shimelash, Dagim, Tadesse, Shitalem, Zemedkun, Bezaye, Kenna, Peniel, Yirdie, Ayenew, Sisay, Abinet, Gashu, Tebikew, Mihretu, Fassil, Ahmed, Yesuf, Debebe, Bekele, Misgea, Abdureuf, Agmas, Amare, Assefa, Rahel, Gelmo, Abdurahman, Alemu, Seifu, Damtachew, Brook, Mersha, Merid, Chemere, Yaekob, Fekadu, Samuel, Regasa, Sintayehu, Sileshi, Bonsa, Wosen, Desalegn, Adamu, Rebira, Mulugeta, Gersam, Bacha, Teshome, Gudisa, Zewude, Bekele, Kebebe, Tasew, Alelign, Gezahegn, Habtamu, Atlaw, Daniel, Solomon, Damtew, Gebresillasie, Habtemariam, Tesfaye, Girmaye, Sarbecha, Negussie, Sahiledengle, Biniyam, Seyoum, Kenbon, Ganfure, Gemechu, Tekalegn, Yohannes, Tesfaye, Gosa, Ayichew, Temesgen, Sendaba, Shibiru, Redwan, Musefa, Muse, Eyasu, Nina, Girma, Sime, Bizuneh, Tadege, Addisalem, Jima, Anbesse, Ayalew, Nugusu, Workneh, Dagmawi, Teferi, Daniel, Nyassi, Momodou T., Sanyang, Landing N., Jallow, Omar, Keita, Abdoulie, Jammeh, Kitabu, Roberts, Charles, Idoko, Patrick, Marenah, Kebba, Njie, Masirending, Marena, Musa, Suwareh, Karamba, Boissey, Simon, Jarjusey, Fatoumatta, Jah, Awa, Sanyang, Awa, Jabbi, Dado, Camara, Kajali, Correa, Armando, Jabang, John, Jaiteh, Lamin, Dampha, Lamin, Manneh, Aminata, Sowe, Baboucarr, Bah, Abdoulie, Jawo, Edrisa, Okoje, Victoria, Baro, Momodou, Bah, Yaya, Njie, Mustapha, Mbowe, Sainabou, Kanteh, Ebrima, Ceesay, Sarjo, Manneh, Alagie, Atito-Narh, Evans, Wilson, Adwoa, Hussey, Romeo, Okine, Emmanuel, Kwarteng, Jemima, Ntiamoah, Ridge, Dadzie, Samuel, Aseti, Mark, Sowah, Naa, Appiah, Akosua, Bankah, Charles, Mburugu, Patrick, Chokwe, Thomas, Olang, Patrick, Gacii, Vernon, Nabulindo, Susane, Gatheru, Antony, Mwiti, Timothy, Mwangi, Caroline, Muriithi, Julius, Ojuka, Daniel, Ogutu, Omondi, Masitara, Evans, Chaudhry, Mohamed, Kamundi, Reuben, Kangangi, Annmarie, Massaquoi, Thomas, Takow, Stephen, Moraa, Felister, Munubi, Aziz, Kimani, Moses, Wobenjo, Adili, Nguu, Linda, Omeddo, Vincent, Malaba, Rose, Nabwana, Ambrose, Mwancha, Anita, Mugaa, Alexandria, Wamwaki, John, Chege, Joyce, Sinari, Seymour, Ndonga, Andrew, Shitsinzi, Rose, Akello, Walter, Kimani, Winfred, Kirwa, Elisha, Saruni, Seno, Wainaina, Andrew, Nshom, Ernest, Kenseko, Aidah, Shisanya, Kizito, Wanjiru, Purity, Cherotich, Julliah, Kimutai, Judy, Wahome, Benson, Wangui, Grace, Wamalwa, Dennis, Mwangi, Stephen, Chege, John, Wanjiku, Tabitha, Njoki, Carolyne, Waititu, Wachira, Ambani, Conrad, Murimi, Samuel, Waithira, Sharon, Mouti, Nilson, Kibet, Collins, Kibet, John, Sokobe, Virginia, Jeymah, Beatrice, Kamadi, Antony, Gichuri, Faith, Moses, Steve, Wasike, David, Adeya, Favours, Bitta, Caesar, Ogendo, Stephen, Kariuki, Killian, BenAbdalla, Hdaya, Suliaman, Taha, Abokhzam, Fatima Ali, Isa, Mohaned, Huwaysh, Mohammed, Bourawi, Asma, Alzubaidy, Kais, Albaraesi, Mohammed, Bahroun, Sumayyah, Alhadi, Abdulmueti, Msherghi, Ahmed, Mohamed, Amira, Khaled, Ala, Aljadi, Nouran, Bareig, Elham, Elgazwi, Khaled, Elgazwi, Adel, El-busife, Ibrahim, Owhida, Safa, Eltwati, Almahdi, Elakeili, Samah, Abubaker, Taha, Elkhfeefi, Fatima, Hasan, Soha Younis, Alttaira, Amal, Elmraied, Imbarkah, Wishah, Rim, Abugassa, Omar, Ahmed, Hazem, Ellafi, Amera, Shoukrie, Shoukrie, Aldokali, Nawal, ElGammudi, Aws, Alkaseek, Akram, Elhaddad, Hoda, Alqaarh, Ayyah, Brish, Ahlam, Abudsnnuga, Malek, Albuaishi, Salsabil, Albashri, Mohammed, Morgom, Marwa, Alawami, Mohammed, Shawesh, Eman, Almabrouk, Abdullah, Alwarfalli, Moaz, Abeid, Nagia, Buzreg, Anis, Malek, Ans, Abayu, Ameerah, Abdulhafith, Butaina, Abouruwes, Wedad, Albakuri, Marim, Almuammari, Sabria, Alsaghair, Esam, Alreshi, Fatheia, Badi, Hassan, Alfetoey, Rabiee, Zubia, Naji, Almiqlash, Bushray, Alshuhoumi, Abdulsalam, Ben Jouira, Rayet Al-islam, Dier, Amaal, Gebril, Essra, Abdelkabir, Mohammed, Moussa, Sana, Alfitori, Marwa, Azbeda, Mabroukah, Alamin, Hajar, Barka, Ejmeya, Mosbah, Omlsaad, Abdasalam, Rema, Hiyoum, Miftah, Abd allateef, Maryam, Altomi, Ibrahim, Alsakloul, Mahdi, Karami, Ekhlas, Alriqeeq, Munyah, Omar, Mabruka, Samer, Ashraf, Aemeesh, Aml, Bouhuwaish, Ahmad, Elusta, Ahmed, Ahmeed, Sultan, Hassan, Wesal AlFighi, Altayr, Mouadah Ali, Addalla, Mohamed, Geddeda, Abrar, Khoja, Kheria, Alhaj, Doaa, Etturki, Muaad, Elhadi, Ahmed, Ellojli, Ibrahim, Shuwayyah, Anshirah, Elfaghih, Ahmed, Alduwayb, Malak, Aleiyan, Mohamed, Aboubreeq, Wedad, Alkassem, Soliman, Ashour, Sami, Ben Hasan, Hayat, Ben Hasan, Najat, Yahya, Ali, Chisala, Palesa, Kommwa, Edward, Simwinga, Lusayo, Chalira, Agness, Kachitsa, Precious, Mtalimanja, Onias, Traoré, Drissa, Sissoko, Moussa, Camara, Moussa, Koita, Adama, Koumaré, Sekou, Sacko, Omar, Coulibaly, Mahamadou, Soumaré, Lamine, Keita, Soumaïla, Keita, Sidiki, Dicko, Hamadoun, Diallo, Boubacar, Bengaly, Boureima, Keita, Mohamed, Diallo, Siaka, Ouattara, Drissa, Ongoiba, Nouhoun, Beye, Seydina, Berthe, Honoré, Diakite, Mamadou, Sima, Mamadou, Togo, Adégné, Dembele, Bakary, Diango, Djibo, Samake, Moussa, Traoré, Youssouf, Traoré, Louis, Oumar, Ongoïba, Gaoussou, Sogoba, Traoré, Issaga, Sangaré, Sidy, Kanté, Doua, Cissé, Lassana, Souleymane, Thiam, Koniba, Keita, Maiyalagan, Sundaresan, Chong, Julien, Mohit, Adil, Mungar, Khushyant, Vinayagam, Shankaran, Ramlochun, Kevin, Sim, Jamie, Sneha, Desai, Kissoon, Vishaal, Tseung, Yan, Aboobakar, Mohamed, Fokeerah, Nitish, Ramsewak, Ravi, Gopall, Jayprakash, Abeeluck, Meetheelesh, Seewoo, Varun, Jankee, Divyanand, Puryag, Ashveen, Beemadoo, Senthil, Deenoo, Yashraj, Goureah, Abhisek, Makoon, Munawwara, Rambojan, Hemanshu, Shanjugsingh, Beeharry, Viraswami, Kevin, Joomye, Shehzaad, Bhugwandass, Ashwant, Deelawar, Bibi, Leelodharry, Vakil, Mungur, Luckshmanraj, Aungraheeta, Sajid, Bhajoo, Sirsingh, Rajcoomar, Manpreet, Seetaram, Rishi, Gaya, Subha, Batra, Gini, Sunnassee, Yoshvin, Petkar, Shailendra, Hicham, Sbai, Smail, Labib, Said, Ait Laalim, Youssef, Motaai, Doumiri, Mouhssine, Alilou, Mustapha, Farnaoui, Nora, Bensghir, Mustapha, Elkoundi, Abdelghafour, Jaafari, Abdelhamid, Elwali, Abderhmann, Meziane, Mohammed, Atmani, Walid, Rebahi, Houssam, Chichou, Hajar, Zarouf, Safae, Soummani, Abderraouf, Taoufik, Abou Elhassan, Essafti, Meryem, Traoré, Aminata Oumou, Hamza, Hamzaoui, Berdai, Adnane, Linda, El allani, Oussama, Salhi, Mucopo, Nelson, Banze, Machado, Saide, Mouzinho, Sitoi, Tomas, Machava, Artur, Carlos, Antonio, Guidione, Amilton, de Carvalho, Antonio Saide, Gemo, Natacha, Camal, Samiro Sema, Cuna, Arsénio, Madeira, Ornelos, Assuade, Ladino, Fernandes, Dercio Amde, Fernandes, Dulce Alexandre Machavae, Sebastião, Mandua, Sikombe, Bernard, Kandjimi, Matti, Shekimweri, Ayoub, Shilomboleni, Diana, Kandjii, Mbaundju, Kabongo, Leonard, Hangero, Cholastic, Ndjoze, Ike, Nailonga, Ruben, Uukonga, Immanuel, Nakanyala, Uutoni, Johannes, Lavinia, Haruzuvi, Adrian, Terblanche, Chris, Shimenda, Natangwe, Katjipu, Delwina, Shalimba, Hilma, Kaweendwa, Juliah, Mbuyi, Ali, Oyedele, John, Mulolo, Mapumba, Njuki, Peter, Ndaie, Mutombo, Munyika, Akutu, Katangolo, Hilma, Tjiyokola, David, Mhene, Tawanda, Masiambiri, Archbald, Mandudzo, Paidamoyo, Kapepiso, Sandra, Mavesere, Haziel, Tjihoto, Cedia, Manyere, Daylight, Kauraisa, Charlotte, Garanowako, Learnmore, Tune, Michael, DeKlerk, William, Ndolo, Benvenue, Angula, Maria, Hishekwa, Ndapewoshali, Nandjendja, Elizabeth, Tsauses, Elsabe, Mouton, Eunice, Katandawa, Kudzai, Bruwer, Sophia, Van Staden, Jaydee, Siteketa, Beata, Kaholongo, Beata, Ntinda, Martha, Nashidengo, Pueya, Kandjumbwa, Johanna, Lipumbu, Lahia, Sirfi, Moussa, Djibo, Fouma, Mahaman, Moutari, Bachir, Abdoulaye Mahaman, Mamane, Maikassoua, Ousseini, Adakal, Hamissou Souley, Maman Noury, Oumarou, Rabo, Idrissa, Rekia, Ichaou, Moussa, Saley, Amina, Seyni, Abdoulay, Amadou, Sahabi, Mahamane Laminou, Mahamane Sani, Camara, Issoufou Moustapha, Gagara, Moussa, Daddy, Hadjara Rabiou, Adamou, Harissou, Magagi, Ibrahim Amadou, Habou, Oumarou, Ramatou, Sabo, Kadas, Saidu, Mohammed, Rabiu, Ballah, Abubakar, Olalekan, Tella, Bwala, Kefas, Adamu, Mohammed, Isa, Adamu, Adeyeye, Ademola, Fayose, Samuel, Akinmade, Akinola, Ajayi, Taiwo, Nwasor, Elizabeth, Yakubu, Saidu, Ugwu, Euphemia, Mukoro, George, Ahmed, Muhammed, Akafa, Gideon, Lawal, Ahmad, Nwoye, Daniel, Odigbo, Michael, Sarkin-Pawa, Zulaihatu, Sholadoye, Tunde, Fomete, Benjamin, Yakubu, Hamisu, Kabiru, Abdulkadir, Timothy, Samaila, Yusuf, Ali, Saadu, Tasiu, Mohammed, Babangida, Yunus, Abdulghaffar, Olagunju, Ganiyat, Aminu, Muhammad, Idris, Mohammad, Tolani, Musliu, Dalhat, Nasiru, Gana, Samuel, Adike, Talent, Anyanwu, Lofty-John, Sheshe, Abdurrahman, Aji, Sani, Atiku, Mamuda, Attah, Raphael, Muhammed, Abubakar, Oseni, Rasaki, Salisu-Kabara, Halima, Nkemjika, Benjamin, Salami, Omotayo, Akadri, Adekunle, Olayinka, Bukola, Onuoha, Clement, Jamaare, Umar Usman, Jibrin, Auwalu Saminu, Abdullahi, Sani Giade, Ishaku, Ibrahim, Odewabi, Adenike, Bamigboye, John, Kuforiji, Oladapo, Ogo, Chidiebere, Ogunmuyiwa, Stella, Abdurrazzaaq, Abdussemee, Tanimola, Adebayo, Adeyanju, Michael, Andero, Oluwatimilehin, Ojo, Temitope, Adedotun, Olusi, Kehinde, Gbadamosi, Buraimoh, Jimoh, Muhammad, Kabiru, Baidoo, Sophia, Okoli, Patrick, Adigun, Azeez, Ezeonye, Ekene, Isa, Kabir, Aremu-Kasumu, Yetunde, Shoretire, Kamil, Enesi, Peter, Ezike, Amechi, Olawoye, Olatunde, Ugwu, Emmanuel, Ukah, Christopher, Olugbenga, Abolade, Chidiebere, Nwachukwu, Abdulraman, Nasiru, Olusegun, Adebiyi, Halisa, Alisa, Yusuf, Semiat, Salisu, Jamila, Okoro, Chidiebube, Suleiman, Abdul, Onowighose, Fabian, Farinyaro, Aliyu, Baba, Suleiman, Abdulmajid, Umar, Abdurrahman, Aisha, Obi, Ogochukwu, Alabi, Olatunde, Adeyemi, William, Salau, Jelili, Taiwo, Jones, Nwafulume, Nnaemeka, Ibiyeye, Taiye, Agu, Edith, Danboy, Ayodeji, Abdulazeez, James, Ekwunife, Christopher, Nnaji, Chimaobi, Onyekpere, Chigozirim, Arunsi, Amara, Egwim, Jude, Nwana, Obianuju, Ojiegbe, Nnabuike, Mbamba, Charles, Ngwu, Paul, Imahigbe, Frank, Okoroji, Emmanuel, Ikenna, Iloh, Mohammed, Abdulrahman, Adeniyi, Adebayo, Ariyo, Toluwalope, Gabriel, Olajide, Orewole, Tesleem, Idris, Salawu, Adebara, Idowu, Okunlola, Abiodun, Akinbade, Akinwale, Afolabi, Oluwasesan, Bakare, Adewumi, Adeyemo, Olabisi, Ugwu, Benjamin, Nuhu, Samuel, Embu, Henry, Isamade, Erdoo, Obikili, Chinedu, Ocheke, Amaka, Peter, Solomon, Orshio, Donald, Onuminya, Peter, Okopi, Jack, Bankole, Olufemi, Afolabi, Bosede, Osinowo, Dapo, Oluwole, Ayodeji, Rotimi, Muyiwa, Desalu, Ibironke, Ojewola, Rufus, Mofikoya, Bolaji, Owonikoko, Kola, Adeoye, Adeolu, Bobo, Temidayo, Akinloye, Taiwo, Ama, David, Okoronkwo, Ebere, Mahmud, Muhammad, Adebiyi, Jamiu, Babalola, Temitope, Muhammad, Mansur, Aruna, Afeez, Osazuwa, Maryrose, Yusuf, Ayodeji, Lawal, Isiaka, Fidelis, Bitrus, Pius, Rephath, Jomosu, Cyril, Adedayo, Adebayo, Aliyu, Abubakar, Agholor, Adaora, Abdulazeez, Abdullateef, Bala, Chabiya, Eze, Eziamaka, Ani, Elizabeth, Okeke, Uchenna, Adebayo, Dominica, Ekwunife, Okechukwu, Modekwe, Victor, Ugwunne, Chuka, Okoro, Chukwuemeka, Uche, Chisom, Olateju, Simeon, Ige-Orhionkpaibima, Fred, Adetoye, Adedapo, Aaron, Olurotimi, Abimbola, Jeremiah, Faponle, Folayemi, Ajayeoba, Olumuyiwa, Jagun, Olusoji, Fatungase, Oluwabunmi, Akiseku, Adeniyi, Nwokoro, Chigbundu, Shoyemi, Ramotalai, Ogundele, Ibukunolu, Joseph, Nankat, Bura, Salihu, Nwezoku, Chukwuka, Bwala, Manu, Philips, Meshach, Usman, Abubakar, Filibus, Emmanuel, Umate, Zara, Chukwuka, Nwabuoke, Nuhu, Ahmed, Ibrahim, Watakiri, Nggada, James, Izge, Ali, Ismail, Musa, Eyelade, Olayinka, Adigun, Tinuola, Osinaike, Babatunde, Ogunbode, Olayinka, Idowu, Olusola, Lawal, Taiwo, Ogundiran, Temidayo, Shittu, Olayiwola, Ayandipo, Omobolaji, Edino, Stephen, Songden, Zumnan, Akitoye, Olumide, Ekele, Bissallah, Akaba, Godwin, Atim, Terkaa, Adeleke, Akitoye, Okochi, Owoicho, Akeju, Sunday, Ukpoju, Ernest, Osaheni, Osayomwanbo, Obaseki, Ifunanya, Kehinde, Lateef, Monday, Osawemwenze, Nte, Stanley, Agboifo, Adesuwa, Dawodu, Omajuwa, Orhiere, Precious, Atiti, David, Kalu, Queeneth, Effiom, Felix, Kolawole, Israel, Ojo, Olawale, Olabinjo, Afusat, Ige, Olufemi, Ogunyemi, Beatrice, Oladosu, Olusola, Adesina, Kikelomo, Agodirin, Sulaiman, Shittu, Asimiyu, Idrisa, Audu, Adamu, Sadiq, Ali, Nuhu, Adewunmi, Olayinka, Nwankwor, Stephen, Olakanmi, Akinwumi, Ajayi, Oluseye, Ajayi, Ayotolu, Ogunmola, Victor, Olakanmi, Oluwafunke, Kuranga, Adam, Uche, Enoch, Osuagwu, Chukwuemeka, Ilo, Chukwudi, Matthew, Mesi, Uko, Uko, Mba, Ngozi, Alagbe-Briggs, Olubusola, Dodiyi-Manuel, Amabra, Onajin-Obembe, Bisola, Obasuyi, Bright, Echem, Richard, Mike-Elechi, Ihuoma, Otokwala, Job, Edubio, Mark, Eyo, Catherine, Udo, Isaac, Abdulrahman, Aliyu, Abdullahi, A.A., Bello, Ibrahim Galadima, Mohammed, Usman Adinoyin, Oyaromade, Abidemi, Bello, Mohammed, Muhammad, Usman, Mbah, Emeri, Okereke, Hyacinth, Aminu, Almustapha, Ahmadu, Anthony, Rogers, Abu, Samai, Peter, Amara, Sao, Yankuba, Margaret, Josayah, Mary, Jnr, Jayah Swarray, Dawo, Alusine, George, Peter, Kabba, Mustapha, Bah, Mohamed, Mondeh, Charles, Kapuwa, Ibrahim, Sheku, Mohamed, Mattia, Philip, Sesay, Brima, Omoshoro-Jones, Jones O.A., Mbeki, Motselisi, Cloete, Estie, Anderson, Philip, Mrara, Busi, Steyn, Annemarie, Mhlari, Tsakani, Proctor, Nic, Robertson, Caroline, Lamacroft, Gillian, Singh, Usha, Sikhakhane, Sebenzile, Gate, Kelly, Nzenza, Shepherd, Kasonga, John Tshimbalanga, Ndebele, Sibongile, Kande, Patrick Lufuta, Davids, Jody, Orlandi, Tino-vito, de Jong, Marischka, Stark, Hugo, Roodt, Francois, Hall, Jonathan, Nortje, Ian, Akpakan, Akanimo, Govindasamy, Vishendran, Sathiram, Ronisha, Kathrada, Mohammad, Farina, Zane, Frittella, Lucio, Kohler, Charles, Lubelwana, Sibuyiselwe, Ikram-Hameed, Sarwat, Smit, Adriaan, Cassiem, Muneerah, Freeman, Yvonne, Goga, Saaliha, Cronje, Larissa, Buzdugan, Constantin, Chirkut, Subash, Singh, Priyadeshni, Jithoo, Sandhya, Rughubar, Vivesh, Arnold, John, Bipath, Rishan, Kinoo, Suman Mewa, Msolo, Ncumisa Khanyisa, Ackermans-Deijnen, Fleur, Boka, Tshegofatso Mmasello Emma, Greenwood, Martyn Biccard, Jayrajh, Shakthi Anand, Naidoo, Devarani, Reddy, Syndrini, Rungan, Devandiran Harriraman, Subrayen, Kylene, Roos, John, Tredoux, Nina, Plumacher, Pascal, Reed, Anthony, Steinhaus, Harald, Nock, Mariesa, Herselman, Paul Ryan, Davies, Gareth, Harvey, Talitha, Muller, Franklin, Naude, Willem, Pretorius, Tania, Swart, Johan Jochemus, Walls, Merryn, Gokal, Prashant, Rorke, Nicolette, Dhoodhat, Farzaana, Dzanibe, Precious, Hussain, Mohammed Yusuf, Junpath, Ashmita, Maharaj, Ameela, Makanisi, Hylda, Moosa, Khalid, Wong, Ting Ting, Mould, Sean, Ramsamy, Trisha, Matos-Puig, Roel, Morgan, Hayley, Nabeebuccas, Nadeem, Naidoo, Ria Devi, Pather, Viantha, Bahadur, Vasheel Vasheel, Pillay, Renilda, Fullerton, Zahnne, Bell, Nicole, Grey, Bongisa, Visentin, Vincent Lorenzo, Van Zyl, Hendrik Adriaan, Killingbeck, Terri Anne, Maneveldt, Emile, Thiart, Gerhard, Venter, Magdelena May, Swart, Oostewalt, Grobelaar, Mariette, Cairns, Carel, Bishop, David, Steenkamp, Christien, Khumalo, Thandekile, Naidoo, Noel, Murray, Ross, Kopieniak, Martin, Sishange, Melusi, Ndimande, Mxolisi Brian, Jaworska, Megan, Ikram, Sarwat, Rainier, Bence, Liebenberg, Renier J., Zwiegers, Helena D., Nortje, Philip M., Bhagwan, Kamal, Flint, Margot, Dyer, Robert, Adams, Simone, Bwambale, Yoshua, Ngomo, Danny, Kanku, Patrice, Pillay, Nivashen, de Castro, Alexa, Maharaj, Atisha, Carim, Janine, Taylor, Jenna Leigh, Köhne, Karl M., Drummond, Leanne W., Temlett, Leanne, Geldenhuys, Lieze, Seilbea, Yvonne, Naidoo, Kathryn, Kalafatis, Nicola A., Verwey, Stefné, Biyase, Thulile, Kisten, Theroshnie, Kusel, Belinda S., Hardcastle, Timothy Craig, Magagula, Richard, Kampik, Christian, Xulu, Kuzolunga, Solala, Sivuyisiwe, Sayed, Mia, Enicker, Basil, Madaree, Anil, Mukama, Innocent, Madombwe, Gladmore, Zulu, Nonhlanhla, Gasa, Nompumelelo, Kanjana, Nokuzula, Buthelezi, Sebenzile, Buthelezi, Thembelihle, Brink, Andries, Potgieter, Francois, Mrara, Busisiwe, Alexander, Zaynab, Choto, Charles, Ima, Paula, Gxagxisa, Zintle, Ningiza, Baphethuxolo, Lamacraft, Gillian, Mogorosi, Jerome, du Plessis, Nadia, de Man, Leonie, Thompson, Suné, van Heerden, Gerrit, Turton, Edwin W., van der Linde, Pieter M., Teme-Pitse, Josephine K., Tladi, Reitumetse, Saffy, Gillian D., Roscher, Ene-Mari, Fortune, Kristel, Barnard, George, Makhasane, Tiisetso, Bowen, Evan, Pal, Akangcha, Moore, Rachel, Fourtounas, Maria, Adam, Mary Augusta, Arumugan, Renessa, Hyman, Gabriella, Jonosky, Jaclyn, Makondo, Maninginingi, Moodley, Heveshan, Munda, Phillip, Nyalungu, Mzwandile, Olusola, Victor, Pinto, Sohan Zane, Pillay, Tristan, Singh, Lucinda, Wondoh, Paul Mwindekuma, Devar, John, Baloyi-Mnisi, Boitumelo, Koto, Zach, Mabitsela, Matlou Ernest, Ndlovu, Sibongile Ruth, Mthelebofu, Branny, Beck, Colin, Dold, Matthew, Fan, Alice, MacQueen, Shannon, Matabata, Thembani, Mpehle, Catherine, Kulenkampf, Charné, Mhlari, Tsakani McCreath, Nyoka-Mokgalong, Simangele Cecilia, Masinge, Felix Thumba, Gunpath, Randhir Ramnath, Pat Mothwa, Maropeng Petrus, Mothwa, Jo-Anne Asenath, Mhlanga, Danai, Colly, Jamie-Lyn, Peter, Aunel Mallier, Ben Hameda, Khalid, Mokae, Pulane, Moumakoe, Stella Josephine, Ekeh, Kelechi, Lengo, Nezingu, Booyens, Marnus, Seale, Inge Louise, Theron, Pieter Daniel, Schuman, Nicolaas Abraham, Sonn, Amber Carlyn, Stander, Jacobus Lukas, Cloete, Nadia, Cloete, Marius, Makepeace, Catherine Ann, van der Westhuizen, Ronel, Messiahs, Leanne Robyn, Visagie, Amy Ruth, Vawda, Fatima, Voster, Frans Christiaan, Dhilraj, Deepika, Smith, Oliver, Bolon, Stefan, Montwedi, Daniel, Mbeki, Motsilisi, Wyngaard, Jayde, Ngcelwane, Mthunzi, Kleyenstuber, Thomas, Phukubye, Phyllis, Schärf, Liesel, Laker, Grace, Semenya, Elizabeth, Dembskey, Reinhard, Tarlton, Thomas, Jiri, Tapiwa, Mushid, Ngoie Hubert, Ngwenya, Nhlanhla Samuel, Mogodi, Hazel Morongoa, Sinevici, Carmen, Usenbo, Anthony Osarogie, Fodo, Naledi, Chimini, Anesu, Sikobi, Ntetelelo, Nokwange, Sinovuyo, Noqhamza, Mluleki, Thembisa, Qumba, Bhat, Kajake Anantha Padmanabha, Mathew, Rabin, Middleton, Katrin, Adewunmi, Abdus-sami, Dickson, Craig, Bulbulia, Humairah, Bester, Bianka, de Klerk, Michelle, Benade, Christia, Viljoen, Francois, Fischer, Monique, Alfaki, Khalid, Awad, Abdalmalik, Algray, Abdelsalam, Elsiddig, Mohammed, Mohamed, Suha, Mahmoud, Salih, Osman, Muhammed, Elgailany, Asia, Suliman, Mazin, Mohammed, Hanaa, Aljeally, Lina, Dirar, Mohammed, Osman, Mohammed, Mohamed, Mazin, Elhasan, Mohamed, Widatalla, Abrar, Abubakr, Abubakr, Mohamed, Eman, Nour, Alshareef, Gama, Ntonto Doris, Shabangu, Dolorosa Khetsiwe, Iradikunda, Cynthia, Mkoko, Samuel, Kisanga, Paul, Lema, Emmanuel, Lyimo, Benson, Binde, Mohamed, Chandika, Alphonce, Salim, Salim, Jumbe, Sylvia, Makubi, Abel, Kotecha, Vihar, Kachinde, Felician, Nyakiroto, Museleta, Jitambi, Emmanuel, Geofrey, Venant, Josiah, Johaphes, Makubi, Phinius, Manumbu, Frank, Mlingwa, Suzan, Ibenzi, Ernest, Mbelle, Peter, Peleus, Kato, Chiwanga, Enid, Richard, Nillah, Leonard, Shoo, Sanka, Paulo, Mushi, Subira, Nyangasa, Bashir, Janabi, Mohamed, Majani, Naizihijwa, Palangyo, Pedro, Nyawawa, Evarist, Ramadhan, William, Lydenge, Faraj, Masenga, Gileard Gabriel, Rashid, Sakina, Jusabani, Mubashir, Ndebea, Ansbert, Cheru, Jenitha, Henjewele, Margaret, Kilimanjaro, Greyson, Sikimata, Sarah, Donatus, Deocles, Maduhu, Hazina, Mariro, Tumaini, Massasi, Given, Shabani, Moshi Moshi, Cholela, Braison, Mgeleka, Marco, Mbilinyi, Yohatinus, Chiwanga, Faraja, Exavery, Bilton, Haule, Caspar, Ndile, Samson, Harya, Sirili, Magandi, Julieth, Manyama, Deogratius, Matindi, Redempta, Moshi, Adam, Kitwana, Daudi, Makia, Merida, Muhochi, Philip, Herman, Miriam, Miombo, Clauda, Kahindo, Furaha, Kishebuka, Langtone, Ussiri, Elijah, Kinasa, Gloria, Adel, Patrick, Malaba, Eric, Sakwari, Vensesla, Lugereka, Sadot, Mungia, Mohamed, Mocha, George, Wella, Herman, Protas, Cecilia, Karua, Patrick, Kashagama, Ahmada, Mwasambugu, Faraja, Kajeri, Suzana, Mchilla, Jacquiline, Lucumay, Elibariki, Maise, Robert, Marti, Amon, Mahundi, Beatrice, Jager, Frederika, Majani, Charles, Rukeha, Ludovick, Mohamed, Tareeq, Fuad, Nabila, Halinga, Winifrida, Chrisant, Elias, Msoma, Gilbert, Kihwili, Titus, Temu, Gadiel, Yusuf, Naima, Saleh, Rashid, Inoja, Rashid, Shang'a, Eva, Ibrahim, Stella, Msuma, Hussein, Edward, Edwin, Kilamile, Paul, Mwakyolile, Stephen, Adja, Talkana, Gueouguede, Edem, Oussene Seddoh, Hafoudhoi, Adam, Saliou, Egbohou, Pilakimwe, Ahomagnon, Mawunyo, Kadjossou, Olivier, Boukari, Abdul-Bassiti, Nabukenya, Mary T., Muhindo, Ruth, Waswa, Peter, Agaba, Peter Kaahwa, Kabatoro, Daphne, Kayongo, Joseph, Naggujja, Margaret, Rehema, Nabasiige, Nansubuga, Phiona, Kavuma, Daniel, Lubikire, Aggrey, Bisilikirwa, Hope, Ssebaggala, Godfrey, Muwema, Emmanuel, Agaba, Humble Joan, Kiconco, John, Wataaka, Nicholas, Chan, Bonet, Nampawu, Mary Juliet, Bulamba, Fred, Bua, Emmanuel, Mugala, Christine, Nyakato, Caroline, Ochieng, John Paul, Jovia, Linda Kyomuhendo, Kateregga, George, Alum, Rachel, Najjuma, Lazia, Nampiina, Gorret, Kintu, Andrew, Sempiira, Joshua, Simon, Luzige, Kayima, Peter, Eyul, Jacob, Odwar, Erick, Nkwine, Rita, Namata, Christine, Nabakka, Elizabeth, Kakaire, Denis, Mushangwe-Mtisi, Velda, Munhamo, Erisha, Dhege, Celestino, Hungwa, Juliet, Jasi, Hemish, Ntoto, Crispin, Matsika, Derek, Mutseyekwa, Brightson, Zimbovoora, Joseph, Gudyanga, Beaulah, Mazingi, Dennis, Mbanje, Chenesa, Mlambo, Busisiwe, Chiwanga, Michael, Chifamba, Harunavamwe N., Zhou, Sarudzai, Hove, Esta, Dende, Shamiso, Manjengwa, Beauty, Kapisa, Penias, Mashava, Chiura, Caritas, Katsukunya, Locadia, Muguti, Godfrey, Mashava, Doreen, Ndhlovu, Elton, Mangwangwa, Zanele, Dube, Nombulelo, Stephens, Timothy, Pearse, Rupert, Puchert, Mariechen, Martin, Graham, and Biccard, Bruce
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- 2021
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37. A purposeful multi-stakeholder learning dialogue (PMSLD) approach to mitigate high-conflict collective bargaining
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Pay Shabangu, Corné Meintjes, and Siphelo Ngcwangu
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Stakeholder engagement ,Dialogic Communication ,Dialogue ,Collective bargaining ,Communication. Mass media ,P87-96 - Abstract
Strikes and labour issues have caused havoc both locally and globally over the last decade. Social dialogue in the form of collective bargaining has not been successful in addressing these issues as labour conflict persists, highlighting the need for improved multi-stakeholder engagement. This paper explores stakeholder engagement from the perspective of collective bargaining in the context of the South African Local Government Bargaining Council (SALGBC). Using an interpretivist paradigm, the research used exploratory, descriptive, and qualitative research to uncover a misalignment between what the SALGBC envisions stakeholder engagement to be and how it is experienced by the relevant parties. Stakeholders in the SALGBC perceive the employer's engagement as conducted in bad faith, coercive, lacking consultation, and accepting industrial action as engagement. To address these, a purposeful multi-stakeholder learning dialogue (PMSLD) is proposed, that blends dialogic communication and dialogic orientation with stakeholders who are receptive, reciprocal and valued for their social roles.
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- 2022
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38. Validation of RSM Predicted Optimum Scaling-Up Factors for Generating Electricity in a DCMFC: MATLAB Design and Simulation Model
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Khaya Pearlman Shabangu, Nhlanhla Mthembu, Manimagalay Chetty, and Babatunde Femi Bakare
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double chamber microbial fuel cell (DCMFC) ,industrial wastewater ,voltage yield ,power density ,current density ,response surface methodology ,Fermentation industries. Beverages. Alcohol ,TP500-660 - Abstract
In this present study, the potential application of DCMFC for the treatment of three different sourced industrial wastewater streams: biorefinery, dairy and mixed streams was investigated. Operating conditions were optimised using the Box Behnken design in response surface methodology (RSM) with three validation experimental runs. The effect of process variables, i.e., HRT (48 h), catholyte dose (0.1 gmol/L) and electrode surface area (three carbon rods argumentation-m2) on the production of electricity as voltage yield (mV), power density (mW/m2), current density (mA/m2), Columbic efficiency (%) CE and Gibbs free energy correlation with the electromotive force of the DCMFC system. Experimental results obtained were a positive response towards the predictive values according to the DoE numerical optimisation sequence. At numerical optimum MFC conditions stated above, validation experimental responses of voltage yield by biorefinery wastewater were 645.2 mV, mixed wastewater was 549 mV, and dairy wastewater was 358 mV maximum yields. The power densities and current densities were attained, for biorefinery, mixed wastewater and dairy wastewater sources respectively as; 62 mW/m2, 50 mW/m2 and 27.2 mW/m2, then current densities of 50 mA/m2, 44,008 mA/m2 and 18 mA/m2. The coulombic efficiencies of 0.34%, 0.75% and 0.22%, respectively, were achieved. The validation of predicted optimum operating conditions was successfully attained, especially through the biorefinery wastewater organic substrate. This article articulates that it is highly imperative to choose the most suitable wastewater source as the viable electron donor towards scaling up and maximising the efficiency of generating electricity in the double chamber microbial fuel cell (DCMFC). Moreover, the findings of the current study demonstrate that the DCMFC can be further upscaled through a series connection in a fed-batch mode of operation using a well-designed and simulated process control system that has been computationally designed and modelled using first order MFC model bioenergy generating models MATLAB Simulink and Simscape electrical software. These findings of the simulations were successful and illustrated that an MFC power output can be successfully stepped to be a viable bio-electrochemical technology for both industrial wastewater (IWW) treatment and simultaneous sustainable power generation.
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- 2023
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39. Molecular confirmation of high prevalence of species of Hepatozoon infection in free-ranging African wild dogs (Lycaon pictus) in the Kruger National Park, South Africa
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Netherlands, Edward C., Stroebel, Carlie, du Preez, Louis H., Shabangu, Ntji, Matjila, P. Tshepo, van Schalkwyk, O. Louis, and Penzhorn, Barend L.
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- 2021
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40. A shared pathogen: Babesia rossi in domestic dogs, black-backed jackals (Canis mesomelas) and African wild dogs (Lycaon pictus) in South Africa
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Shabangu, Ntji, Penzhorn, Barend L., Oosthuizen, Marinda C., Vorster, Ilse, van Schalkwyk, O. Louis, Harrison-White, Robert F., and Matjila, P. Tshepo
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- 2021
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41. An exploration and description of experiences of at-risk youth in a correctional center in Eswatini regarding a resilience intervention program
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Sifiso B. Shabangu and Vicki Koen
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at-risk youth ,Eswatini ,intervention program ,juvenile corrections ,resilience ,Psychology ,BF1-990 - Abstract
Resilience-focused programs advocate nurturing positive adoptive traits to inform prevention and intervention efforts. Considering that no resilience intervention programs have been developed specifically for at-risk youth in correctional centers in Eswatini, the authors developed a program with this focus through a combination of literature review and earlier empirical research with correctional officers and youth in a correctional center in Eswatini. This study aimed to evaluate the program through exploration and description of experiences of at-risk youth in a correctional center in Eswatini regarding the program. A purposive sample of 16 youths in a correctional center in Eswatini participated in a World Café, and data were analyzed thematically. Three themes were identified: Positive outcomes of participation, challenges encountered in the program, and recommendations for the program.
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- 2022
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42. Collaborative reliance in medicine safety and quality regulation: Investigation of experiences in handling N-nitrosamine impurities among ZaZiBoNa participating countries
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Patience P. Shabangu, Rutendo J. Kuwana, and Admire Dube
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National Regulatory Authorities (NRAs) in Southern Africa ,N-nitrosamine impurities ,medicine quality and safety ,reliance ,Southern African Development Community (SADC) ,South African Health Products Regulatory Authority (SAHPRA) ,Medicine (General) ,R5-920 - Abstract
IntroductionThe presence of N-nitrosamine impurities in medicines raised concerns globally as they are genotoxic and probable human carcinogens. A review of N-nitrosamine impurities in medicines provides an opportunity for National Regulatory Authorities (NRAs) to ensure that corrective and preventive actions are applied so that safe and good quality medicines are made available to the public. This study aimed to investigate the experiences on reviews conducted by NRAs from various Southern African Development Community countries which participate in the regional work-sharing forum, ZaZiBoNa, on the quality and safety data due to the presence of N-nitrosamine impurities in medicines.MethodsA comparative, descriptive study using mixed methods was conducted. Purposive sampling was applied in selecting research participants based on their participation status in the ZaZiBoNa initiative. A standardized questionnaire structured into five parts was completed by ZaZiBoNa focal persons/nominated individuals to determine the experience of each NRA in addressing the safety and quality issues related to the presence of N-nitrosamine impurities in the affected medicines. Profiled medicines included sartans, ranitidine, metformin, rifampicin, and rifapentine.ResultsSartan medicines had been reviewed by all countries participating in the ZaZiBoNa initiative. Although most NRAs have yet to conduct reviews on other profiled medicines, evaluations have been implemented to ensure access to safe and good quality medicines within the region. Most countries experienced challenges in communicating with applicants or marketing authorization holders (MAHs) on reviewing N-nitrosamine impurities in their medicines. The majority of NRAs agree that there is a need for further collaboration efforts to review N-nitrosamine impurities in medicines.ConclusionThe review of N-nitrosamine impurities in the profiled medicines by NRAs within the region has demonstrated the importance of enhanced regulatory oversight to safeguard against the risks associated with medicines. Collaborative reliance on the review of the safety and quality of medicine, continuous monitoring, implementation and review of processes, testing methods, and regular engagements with stakeholders could be essential in ensuring adequate control of N-nitrosamine impurities in medicines.
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- 2022
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43. Female gender representation in selected South African magazines
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Nonkululeko N. Shabangu, Sandra Rossouw, and Cornelia G. Smith
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gender ,presentation, south african magazines ,reception aesthetics ,feminism ,Special aspects of education ,LC8-6691 - Abstract
Background: There has been an increase in the number of women’s magazines in South Africa, which also contributes to the country’s economic growth and development. Objective: Magazines serve as a source of entertainment and information and they cater for readers interested in learning more about what features in society and even globally, which underscores the importance of quality and gender-sensitive material. The portrayal of females in magazines surfaced as a source of interest in the light of women’s liberation and gender equity. Method/Results: The purpose of this study was to explore the language and content of selected South African women’s magazines. The objectives were to determine how language and content are used to represent females in selected South African women’s magazines; and determine the professional editors’, journalists’ and readers’ perceptions of the representation of females in the selected English women’s magazines. Conclusion: A qualitative case study design was used, and semi-structured interviews were conducted to collect data from the selected participants. The corpus spanned three professional journalists and nine readers, including seven females and five males, purposefully selected, who participated. The data collected through interviews were analysed and thematically discussed. Readers’ reception aesthetics were used, in conjunction with feminist literary criticism, as theoretical lenses. Contribution: The study found that sexualisation and objectification continue especially in advertisements, but that much progress has been made in magazines to represent women as powerful and significant.
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- 2022
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44. The effects of COVID-19 on the rehabilitation of persons with aphasia: A scoping review
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Khetsiwe P. Masuku, Gift Khumalo, and Nontokozo Shabangu
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aphasia ,covid-19 pandemic ,rehabilitation ,telehealth ,social participation ,Oral communication. Speech ,P95-95.6 - Abstract
Background: The impact of the Coronavirus disease 2019 (COVID-19) pandemic was more pronounced on the well-being of persons with disabilities, especially in low- and middle-income countries. There is documented evidence of the rippling effects of COVID-19 on persons with disabilities. However, not much is known about the impact of COVID-19 on the rehabilitation of persons with aphasia. Objective: The scoping review explores how COVID-19 affected the rehabilitation of persons living with aphasia. Method: A scoping review was conducted using Arksey and O’Malley’s framework. A search was conducted on Science Direct, PubMed, Medline, Scopus, ProQuest and Google Scholar, to identify relevant studies published between 2019 and 2022. Data were analysed using thematic analysis. Results: Most studies regarding the effects of COVID-19 on persons living with aphasia were conducted in the United Kingdom. Five themes emerged from the data, namely, (1) negative impact on rehabilitative care, (2) telehealth and its limitations, (3) impact on social participation, (4) compromised caregiver involvement and (5) mental health challenges. Conclusions: Findings highlight the need for healthcare professionals to pursue innovative ways in which aphasia rehabilitation and conversational support programmes can be made accessible to persons with aphasia, despite the limitations brought about by a pandemic. Telerehabilitation programmes need to be tailored to the needs of persons with aphasia if they are to be successful. This study highlights the importance and need for the prioritisation of mental health services for persons with aphasia and their caregivers during a pandemic.
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- 2022
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45. The Illusive Pipedream of Zero Harm: A South African Mining Industry Perspective.
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Rikhotso, Oscar, Shabangu, Mesala, and Havenga, Yolanda
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OCCUPATIONAL diseases ,WORK-related injuries ,MINING methodology ,SAFETY regulations ,ECONOMIC indicators - Abstract
Mining industry activities are fraught with inherent exposure to occupational health and safety hazards, often with fatal outcomes, injuries and occupational diseases. This occurs amidst the introduction of contemporary mining methods and targeted health and safety regulation. This historical study evaluated company annual reports through document analysis, on a textual level, to evaluate the extent of OHS performance reporting, a measure of the attainment status of the zero-harm aspirational goal. The reporting of OHS performance indicators in annual reports by South African mining companies is widespread, though variable in format, content and context. There were variances in the reporting of OHS indicators by the case mining companies which obfuscate attempts for intra- and inter-company comparisons of OHS performance. The case companies included have not attained the stated goal of zero harm in view of the historically reported and protracted incidences of fatalities, injuries and occupational diseases, a direct threat to the decent work principle. The status quo challenges all affected stakeholders, including regulators, employers, employees and unions alike, to continuously investigate measures for arresting the situation. [ABSTRACT FROM AUTHOR]
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- 2024
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46. Artificial Intelligence’s (AI’s) implications for strategic communication.
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Shabangu, Pay
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STRATEGIC communication ,ARTIFICIAL intelligence - Abstract
Organisations in Africa have integrated Artificial Intelligence’s (AI) innovations, such as data driven technologies and automation, into their operations. This is being done, among others, to enhance customer relationships, strategic communication and to deliver services. However, there are suggestions that these data-driven technologies are not transparent enough, which is contrary to what strategic communication is about. A survey in South Africa, for example, shows that only thirty-nine percent of the people have heard of AI. This despite South Africa being in the top five of African countries in the 2020 Global Government Artificial Intelligence Readiness Index. Several academic papers evaluating the AI topic from different standpoints have been published in recent years. However, little academic work has been done regarding AI’s impact on strategic communication in the African continent. Although AI automations and applications seek to address most of society’s pressing problems, there are also challenges such as the technicality of AI, ethical issues, and overselling of AI. This conceptual article, analyses documents published on AI, journal articles and books content, identifies and discusses AI challenges, reviews different approaches to AI, examines AI’s impact on the strategic communication field and makes recommendations, with an intention to contribute to the AI and strategic communication disciplines. The research established that AI will continue to preoccupy academics and the public because of the increasing intermingling of smart technologies with different areas of human life. [ABSTRACT FROM AUTHOR]
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- 2024
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47. Specific contribution of neurons from the Dbx1 lineage to the piriform cortex
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Thando Shabangu, Hung-Lun Chen, Zi-hui Zhuang, Alessandra Pierani, Chien-Fu F. Chen, and Shen-Ju Chou
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Medicine ,Science - Abstract
Abstract The piriform cortex (PC) is a major cortical processing center for the sense of smell that receives direct inputs from the olfactory bulb. In mice, the PC consists of three neuronal layers, which are populated by cells with distinct developmental origins. One origin of PC neurons is the pool of Dbx1-expressing neural progenitors located in the ventral pallium at the pallial-subpallial boundary. Since the precise mechanisms of PC neuron development are largely unknown, we sought to define the distribution, timing of neurogenesis, morphology and projection patterns of PC neurons from the Dbx1 lineage. We found that Dbx1-lineage neurons are preferentially distributed in layer 2 and enriched in the ventral portion of the PC. Further, Dbx1 neurons are early-born neurons and contribute to most neuronal subtypes in the PC. Our data also revealed an enrichment of Dbx1-lineage neurons in the ventral anterior PC that project to the orbitofrontal cortex. These findings suggest a specific association between the developmental origin of PC neurons and their neuronal properties.
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- 2021
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48. Cetacean species richness in relation to anthropogenic impacts and areas of protection in South Africa's mainland Exclusive Economic Zone
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Purdon, Jean, Shabangu, Fannie W., Pienaar, Marc, Somers, Michael J., and Findlay, Ken
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- 2020
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49. Susceptibility of Staphylococcus aureus to porphyrin-silver nanoparticle mediated photodynamic antimicrobial chemotherapy
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Shabangu, Samuel M., Babu, Balaji, Soy, Rodah C., Oyim, James, Amuhaya, Edith, and Nyokong, Tebello
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- 2020
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50. South Africa’s newly approved marine protected areas have increased the protected modelled habitat of nine odontocete species
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Purdon, Jean, Shabangu, Fannie, Pienaar, Marc, Somers, Michael J., and Findlay, Ken P.
- Published
- 2020
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