A battle of values: analysing the changing attitudes towards African refugees in Europe
- Authors: Mannion, Megan Kate
- Date: 2024-04-04
- Subjects: Uncatalogued
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/435525 , vital:73165
- Description: Cosmopolitanism is a moral perspective that stresses the importance that every human being is an equal and ultimate unit of moral concern. These principles make cosmopolitanism more concerned for and accommodative towards outsiders to a political community. Against the abstraction and universalism of cosmopolitanism, communitarianism emphasizes the role communities play in shaping our individual identities and sees it as justified that the interests and well-being of community members receive priority over those of outsiders. Both these value systems are present in Europe. The question is about which direction the trend has moved in recent decades. This dissertation examines the changing values that inform attitudes toward African refugees in Europe to get at this issue. Have attitudes towards African refugees shifted in a cosmopolitan or a communitarian direction in recent decades? This dissertation examines newspaper articles from The Guardian between 1990 and 2022 to track changes in value. The analysis of these articles uncovered that communitarian values were the most prevalent and stayed the most prevalent from 1990 to 2022. These findings indicate that communitarian values are higher than cosmopolitan values regarding African refugees within the general European context. These findings add to the growing body of knowledge regarding attitude shifts, and they provide a timeline for value changes that can help predict future values and be used in future comparative studies. , Thesis (MA) -- Faculty of Humanities, Political and International Studies, 2024
- Full Text:
- Date Issued: 2024-04-04
- Authors: Mannion, Megan Kate
- Date: 2024-04-04
- Subjects: Uncatalogued
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/435525 , vital:73165
- Description: Cosmopolitanism is a moral perspective that stresses the importance that every human being is an equal and ultimate unit of moral concern. These principles make cosmopolitanism more concerned for and accommodative towards outsiders to a political community. Against the abstraction and universalism of cosmopolitanism, communitarianism emphasizes the role communities play in shaping our individual identities and sees it as justified that the interests and well-being of community members receive priority over those of outsiders. Both these value systems are present in Europe. The question is about which direction the trend has moved in recent decades. This dissertation examines the changing values that inform attitudes toward African refugees in Europe to get at this issue. Have attitudes towards African refugees shifted in a cosmopolitan or a communitarian direction in recent decades? This dissertation examines newspaper articles from The Guardian between 1990 and 2022 to track changes in value. The analysis of these articles uncovered that communitarian values were the most prevalent and stayed the most prevalent from 1990 to 2022. These findings indicate that communitarian values are higher than cosmopolitan values regarding African refugees within the general European context. These findings add to the growing body of knowledge regarding attitude shifts, and they provide a timeline for value changes that can help predict future values and be used in future comparative studies. , Thesis (MA) -- Faculty of Humanities, Political and International Studies, 2024
- Full Text:
- Date Issued: 2024-04-04
Investigating changes in pineapple (Aananas comosus) cultivation in the Eastern Cape, South Africa, from 1984 to 2020
- Authors: Marriner, Paul Joseph
- Date: 2024-04-04
- Subjects: Uncatalogued
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/435354 , vital:73150
- Description: Land use and land cover change (LULCC) resulting from agricultural activities have significantly impacted landscape transformation and fragmentation. The Albany Thicket Biome in the Eastern Cape Province stands out for its exceptional vegetation diversity and remarkable rates of species endemism. However, the relationship between agricultural activities and the Albany Thicket Biome has not received sufficient attention in the literature, creating a significant gap in understanding the extent of landscape transformation and the vegetation's recovery rate. This study aims to address this gap by utilising remote sensing technologies to investigate the LULCC specifically caused by pineapple cultivation in the Lower Albany area between 1984 and 2020. Analysis, using remotely sensed imagery and spatial analytical tools, provide accurate identification of pineapple fields and enable monitoring of their effects on LULCC dynamics across a wide spatial and temporal scale. Complementary field assessments examined the impacts of pineapple cultivation on land use and cover. Twelve image classifiers were tested to identify the most appropriate technique for mapping pineapple fields, and the Supervised Pixel-based Support Vector Machine (SVM) image classifier was found to be the most suitable. Utilising Landsat 4, 5, 7, and 8 satellite imagery, 27 land cover maps were created, spanning the period from 1984 to 2020. Additionally, field verification was conducted at 59 randomly generated sites to validate the findings. Spatial analysis of the data revealed that the pineapple industry in the study area has expanded by 733 hectares since 1984. Significant land use changes were observed, including converting land to wildlife ranches, grazing areas, and alternative agricultural practices. The land cover analysis identified the emergence of pioneer species in former pineapple fields, suggesting the potential for Albany Thicket regrowth if appropriately managed. This research contributes to a better understanding of the impacts of pineapple cultivation on the Albany Thicket Biome and provides valuable insights for land use planning and monitoring efforts. A comprehensive assessment of LULCC dynamics can be achieved by utilising remote sensing techniques, informing sustainable land management practices in the study area and beyond. , Thesis (MSc) -- Faculty of Science, Geography, 2024
- Full Text:
- Date Issued: 2024-04-04
- Authors: Marriner, Paul Joseph
- Date: 2024-04-04
- Subjects: Uncatalogued
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/435354 , vital:73150
- Description: Land use and land cover change (LULCC) resulting from agricultural activities have significantly impacted landscape transformation and fragmentation. The Albany Thicket Biome in the Eastern Cape Province stands out for its exceptional vegetation diversity and remarkable rates of species endemism. However, the relationship between agricultural activities and the Albany Thicket Biome has not received sufficient attention in the literature, creating a significant gap in understanding the extent of landscape transformation and the vegetation's recovery rate. This study aims to address this gap by utilising remote sensing technologies to investigate the LULCC specifically caused by pineapple cultivation in the Lower Albany area between 1984 and 2020. Analysis, using remotely sensed imagery and spatial analytical tools, provide accurate identification of pineapple fields and enable monitoring of their effects on LULCC dynamics across a wide spatial and temporal scale. Complementary field assessments examined the impacts of pineapple cultivation on land use and cover. Twelve image classifiers were tested to identify the most appropriate technique for mapping pineapple fields, and the Supervised Pixel-based Support Vector Machine (SVM) image classifier was found to be the most suitable. Utilising Landsat 4, 5, 7, and 8 satellite imagery, 27 land cover maps were created, spanning the period from 1984 to 2020. Additionally, field verification was conducted at 59 randomly generated sites to validate the findings. Spatial analysis of the data revealed that the pineapple industry in the study area has expanded by 733 hectares since 1984. Significant land use changes were observed, including converting land to wildlife ranches, grazing areas, and alternative agricultural practices. The land cover analysis identified the emergence of pioneer species in former pineapple fields, suggesting the potential for Albany Thicket regrowth if appropriately managed. This research contributes to a better understanding of the impacts of pineapple cultivation on the Albany Thicket Biome and provides valuable insights for land use planning and monitoring efforts. A comprehensive assessment of LULCC dynamics can be achieved by utilising remote sensing techniques, informing sustainable land management practices in the study area and beyond. , Thesis (MSc) -- Faculty of Science, Geography, 2024
- Full Text:
- Date Issued: 2024-04-04
An exploratory study of leadership and organisational change through the lens of organisational behaviour: a secondary school in Makhanda
- Authors: Yedwa, Sesonasipho
- Date: 2024-04-03
- Subjects: Uncatalogued
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/434595 , vital:73088
- Description: Access restricted. Expected release in 2025. , Thesis (MSocSci) -- Faculty of Humanities, Sociology, 2024
- Full Text:
- Date Issued: 2024-04-03
- Authors: Yedwa, Sesonasipho
- Date: 2024-04-03
- Subjects: Uncatalogued
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/434595 , vital:73088
- Description: Access restricted. Expected release in 2025. , Thesis (MSocSci) -- Faculty of Humanities, Sociology, 2024
- Full Text:
- Date Issued: 2024-04-03
The political economy of industrial policy in post-apartheid South Africa: a comparative case study analysis of Brazil and South Korea
- Modisaotsile, Botlhale Phurulla
- Authors: Modisaotsile, Botlhale Phurulla
- Date: 2023-10-13
- Subjects: Industrial policy South Africa , South Africa Economic conditions 1991- , Korea (South) Economic conditions , Brazil Economic conditions , Apartheid South Africa , Political economy , Deindustrialization
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419703 , vital:71668
- Description: South Africa is a country that has experienced premature deindustrialisation due to its inability to move out of middle-income status. The role of industrial policy in South Africa is pivotal to taking the country to greater economic heights and a higher-income status. South Africa’s historical context indicates that the country experienced its highest GDP growth rates during the apartheid economy. Since the demise of apartheid, the post-apartheid economy has experienced poverty and economic inequality that the South African government cannot eradicate. This thesis addresses the failure of South Africa to overcome premature deindustrialisation, and it discusses the state of the political economy and economic growth in a pre-apartheid and post-apartheid context. The thesis also addressed the significance of industrial policy through the establishment of the Industrial Policy Action Plan (IPAP). The shortcomings and successes of IPAP form a critical part of the research and present an analysis of different economic sectors. This thesis also assesses the state of industrial policy using two countries as case studies: Brazil and South Korea. , Thesis (MEcon) -- Faculty of Commerce, Economics and Economic History, 2023
- Full Text:
- Date Issued: 2023-10-13
- Authors: Modisaotsile, Botlhale Phurulla
- Date: 2023-10-13
- Subjects: Industrial policy South Africa , South Africa Economic conditions 1991- , Korea (South) Economic conditions , Brazil Economic conditions , Apartheid South Africa , Political economy , Deindustrialization
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419703 , vital:71668
- Description: South Africa is a country that has experienced premature deindustrialisation due to its inability to move out of middle-income status. The role of industrial policy in South Africa is pivotal to taking the country to greater economic heights and a higher-income status. South Africa’s historical context indicates that the country experienced its highest GDP growth rates during the apartheid economy. Since the demise of apartheid, the post-apartheid economy has experienced poverty and economic inequality that the South African government cannot eradicate. This thesis addresses the failure of South Africa to overcome premature deindustrialisation, and it discusses the state of the political economy and economic growth in a pre-apartheid and post-apartheid context. The thesis also addressed the significance of industrial policy through the establishment of the Industrial Policy Action Plan (IPAP). The shortcomings and successes of IPAP form a critical part of the research and present an analysis of different economic sectors. This thesis also assesses the state of industrial policy using two countries as case studies: Brazil and South Korea. , Thesis (MEcon) -- Faculty of Commerce, Economics and Economic History, 2023
- Full Text:
- Date Issued: 2023-10-13
Developing logit calibration model for wildfire smoke characterization based on sentinel-2 multispectral data and machine learning techniques
- Authors: Sali, Athule
- Date: 2023-07
- Subjects: Wildfires -- Prevention and control -- Contracting out , Smoke plumes , Remote-sensing images
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/28467 , vital:74338
- Description: Wildfires are complicated incidents that arise as results of both natural causes and anthropological activities. They have long been regarded as the most devastating phenomena globally. Wildfires are considered a powerful natural factor which has detrimental effect on the global environment. This study was aimed at developing logit calibration models for wildfire smoke prediction based on Sentinel-2 multispectral data and machine learning techniques. Remotely sensed data, in the form of the Sentinel-2 imagery, was used as the base from which wildfire smoke plumes were spectrally characterized and distinguished from clouds and flame using endmember selection. The Smoke Detection Index (SDI) was generated to detect the relative abundance of smoke from the imagery. The Cloud Detection Index (CDI) was also generated from Sentinel-2 imagery to detect the relative abundance of clouds. The bi-level thresholding technique was also used to characterize wildfire smoke from the imagery. The logit models were developed through multilayer perceptron (MLP) neural network to predict wildfire smoke plumes. The Relative Operator Characteristic - Area Under the Curve (ROC-AUC) metrics was used to evaluate the logit models performance. The spectral signature pattern from endmembers revealed that wildfire smoke behaves different across Sentinel-2 multispectral channels with shortwave 1 channel (SWIR-1) exhibiting the highest radiance value. The signature patterns from endmember selection also revealed the distinctive spectral characterization of smoke from those of clouds. The findings showed that whilst smoke exhibited high radiance value on SWIR-1 channel, clouds exhibited high radiance value in the near infrared (NIR), signifying that smoke and cloud are spectrally separatable in the NIR. The smoke-containing pixels from bi-level thresholding were characterized by SDI values that ranged between 0.089 and 0.561. Suggesting that pixels associated with wildfire smoke are limited to this range of values. The logit models developed showed that smoke is predicted in SWIR-2. The ROC-AUC value obtained by this model was 0.77. The Implications emerging from the ROC-AUC results revealed that MLP model employed on the SWIR-2 band present a viable and accurate prediction of wildfire smoke plume. The findings of this study suggest that wildfire smoke is efficiently predicted at the shortwave channels of the electromagnetic spectrum. The wildfire smoke can be spectrally distinguished from cloud in the near infrared channel. , Thesis (MSc) -- Faculty of Science and Agriculture, 2023
- Full Text:
- Date Issued: 2023-07
- Authors: Sali, Athule
- Date: 2023-07
- Subjects: Wildfires -- Prevention and control -- Contracting out , Smoke plumes , Remote-sensing images
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/28467 , vital:74338
- Description: Wildfires are complicated incidents that arise as results of both natural causes and anthropological activities. They have long been regarded as the most devastating phenomena globally. Wildfires are considered a powerful natural factor which has detrimental effect on the global environment. This study was aimed at developing logit calibration models for wildfire smoke prediction based on Sentinel-2 multispectral data and machine learning techniques. Remotely sensed data, in the form of the Sentinel-2 imagery, was used as the base from which wildfire smoke plumes were spectrally characterized and distinguished from clouds and flame using endmember selection. The Smoke Detection Index (SDI) was generated to detect the relative abundance of smoke from the imagery. The Cloud Detection Index (CDI) was also generated from Sentinel-2 imagery to detect the relative abundance of clouds. The bi-level thresholding technique was also used to characterize wildfire smoke from the imagery. The logit models were developed through multilayer perceptron (MLP) neural network to predict wildfire smoke plumes. The Relative Operator Characteristic - Area Under the Curve (ROC-AUC) metrics was used to evaluate the logit models performance. The spectral signature pattern from endmembers revealed that wildfire smoke behaves different across Sentinel-2 multispectral channels with shortwave 1 channel (SWIR-1) exhibiting the highest radiance value. The signature patterns from endmember selection also revealed the distinctive spectral characterization of smoke from those of clouds. The findings showed that whilst smoke exhibited high radiance value on SWIR-1 channel, clouds exhibited high radiance value in the near infrared (NIR), signifying that smoke and cloud are spectrally separatable in the NIR. The smoke-containing pixels from bi-level thresholding were characterized by SDI values that ranged between 0.089 and 0.561. Suggesting that pixels associated with wildfire smoke are limited to this range of values. The logit models developed showed that smoke is predicted in SWIR-2. The ROC-AUC value obtained by this model was 0.77. The Implications emerging from the ROC-AUC results revealed that MLP model employed on the SWIR-2 band present a viable and accurate prediction of wildfire smoke plume. The findings of this study suggest that wildfire smoke is efficiently predicted at the shortwave channels of the electromagnetic spectrum. The wildfire smoke can be spectrally distinguished from cloud in the near infrared channel. , Thesis (MSc) -- Faculty of Science and Agriculture, 2023
- Full Text:
- Date Issued: 2023-07
Exploring the involvement of the SARS-CoV-2 Replicase in the synthesis of polyamines and heat shock proteins
- Authors: Mthembu,Yamkela
- Date: 2023-07
- Subjects: Post COVID-19 condition (Disease) , COVID-19 (Disease) , Polyamines in the body
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/${Handle} , vital:74275
- Description: A disease named COVID-19 almost destroyed the human population. It is caused by the SARS CoV 2 virus which emerged in 2019 and rapidly spread worldwide forcing all countries to shut down. This virus uses non-structural proteins to complete its invasion and development inside the host. The non-structural protein 2 NSP2 defined as the RNA binding protein involved in coronavirus genome replication and decreases the human immune response is key for this virus’s development and invasion. It is believed that the NSP2 associate themselves with polyamines and heat shock proteins inside the host cell, to proceed with the viral development and this study aimed to investigate how SARS CoV 2 virus key non-structural proteins NSP2 utilizes polyamines and heat shock proteins using the molecular docking approach and molecular dynamics MD. In this present study a docking approach was used. The dockings were done on ClusPro, and analysis was done on Discovery Studio, chimera, and PyMOL. One of the enzymes that are involved in the regulation of polyamine biosynthesis, adenosylmethionine decarboxylase AdoMetDC was used in investigating the polyamine binding to the viral NSP2, and major heat shock proteins HSPs HSP40, HSP70, and HSP90 were used in the investigation of the binding of HSPs to viral non-structural proteins NSP2. The results obtained show that 32 interactions were formed when docking heat shock protein 40 HSP40 with the SARS CoV 2 NSP2, but the area that has the highest interactions was from amino acid Ala554 to His557. Asp553 plays a very crucial role in this interaction forming six interactions. Heat shock protein 70 produced about 28 interactions when docked with the SARS CoV 2 NSP2. But the section with the most bonds was from position 550 to 560 of the ligand. Human heat shock protein 90 HSP90 formed 19 interactions when docked with the SARS CoV 2 viral NSP2. MD revealed Arg458, Asn508, Met297, Arg301 and Tr417 active residues. And pharmacophore modeling indicated zinc inhibitors as crucial for inhibiting this virus. Enough interactions were produced with ideal bonds lengths, and it can be said that the functioning of the SARS CoV2 viral non-structural proteins functioning majorly depends on the presence of the heat shock proteins at hand for proper formation and depends on polyamines for complete development and correct functioning. , Thesis (MSc) -- Faculty of Science and Agriculture, 2023
- Full Text:
- Date Issued: 2023-07
- Authors: Mthembu,Yamkela
- Date: 2023-07
- Subjects: Post COVID-19 condition (Disease) , COVID-19 (Disease) , Polyamines in the body
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/${Handle} , vital:74275
- Description: A disease named COVID-19 almost destroyed the human population. It is caused by the SARS CoV 2 virus which emerged in 2019 and rapidly spread worldwide forcing all countries to shut down. This virus uses non-structural proteins to complete its invasion and development inside the host. The non-structural protein 2 NSP2 defined as the RNA binding protein involved in coronavirus genome replication and decreases the human immune response is key for this virus’s development and invasion. It is believed that the NSP2 associate themselves with polyamines and heat shock proteins inside the host cell, to proceed with the viral development and this study aimed to investigate how SARS CoV 2 virus key non-structural proteins NSP2 utilizes polyamines and heat shock proteins using the molecular docking approach and molecular dynamics MD. In this present study a docking approach was used. The dockings were done on ClusPro, and analysis was done on Discovery Studio, chimera, and PyMOL. One of the enzymes that are involved in the regulation of polyamine biosynthesis, adenosylmethionine decarboxylase AdoMetDC was used in investigating the polyamine binding to the viral NSP2, and major heat shock proteins HSPs HSP40, HSP70, and HSP90 were used in the investigation of the binding of HSPs to viral non-structural proteins NSP2. The results obtained show that 32 interactions were formed when docking heat shock protein 40 HSP40 with the SARS CoV 2 NSP2, but the area that has the highest interactions was from amino acid Ala554 to His557. Asp553 plays a very crucial role in this interaction forming six interactions. Heat shock protein 70 produced about 28 interactions when docked with the SARS CoV 2 NSP2. But the section with the most bonds was from position 550 to 560 of the ligand. Human heat shock protein 90 HSP90 formed 19 interactions when docked with the SARS CoV 2 viral NSP2. MD revealed Arg458, Asn508, Met297, Arg301 and Tr417 active residues. And pharmacophore modeling indicated zinc inhibitors as crucial for inhibiting this virus. Enough interactions were produced with ideal bonds lengths, and it can be said that the functioning of the SARS CoV2 viral non-structural proteins functioning majorly depends on the presence of the heat shock proteins at hand for proper formation and depends on polyamines for complete development and correct functioning. , Thesis (MSc) -- Faculty of Science and Agriculture, 2023
- Full Text:
- Date Issued: 2023-07
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