The purpose of this bachelor's thesis in sociology is to understand and reflect on how blue-light professions such as police, ambulance, emergency services and other professions such as social services and leisure leaders work with young people based on the project the Man behind the uniform. The sociological problem being studied is the disbelief young people can create towards the blue light professions as well as professions such as social services and leisure leaders. The study is based on the theories of social ties, organizational culture, shame and pride, over-, under- and optimal differentiation, habitus and segregation. Through a qualitative method in the form of eight interviews, the purpose has been to answer our question: In what ways can the project The Man Behind the Uniform strengthen the relationship and mutual trust between young people and those who work in the blue light profession? The result indicates that the attitude towards uniformed officials as well as professions such as social services and leisure leaders may be disturbed by many young people and that this is due to the ongoing negative effect of society on, among other things, vulnerable areas. The segregation that exists in the vulnerable areas is also a factor of the prevailing circumstances against officials.

Field Programmable Gate Arrays (FPGAs) are being used more frequently in space applications because of their reconfigurability and intensive processing capabilities. FPGAs in environments like space are susceptible to ionizing radiation which can cause Single Event Upsets (SEUs) in the FPGA's configuration memory. These upsets may cause the programmed user design on the FPGA to deviate from its normal behavior. Space missions cannot afford to allow important data processing applications to become corrupted due to these radiation upsets.Configuration scrubbing is an upset mitigation technique that detects and corrects upsets in an FPGA's configuration memory. Configuration scrubbing periodically monitors an FPGA's configuration memory utilizing mechanisms such as Error Correction Codes (ECCs), Cyclic Redundancy Checks (CRCs), a protected golden file, and partial reconfiguration to detect and correct upset memory bits. This work presents improved Xilinx 7-Series configuration scrubbing architectures that achieve minimal hardware footprints, competitive performance metrics, and robust detection and correction capabilities. The two principal scrubbing architectures presented in this work are the readback and hybrid scrubbers which detect and correct Single Bit Upsets (SBUs) and Multi-Bit Upsets (MBUs). Harnessing the performance advantages granted by the 7-Series internal Readback CRC scan, a hybrid scrubber built in software for the Zynq XZC07020 FPGA has been measured to correct SBUs in 8.024 ms, even-numbered MBUs in 13.38 ms, and odd-numbered MBUs in 21.40 ms. It can also perform a full readback scrub of the entire device in under two seconds. These scrubbing architectures were validated in radiation beam tests, where one of the architectures corrected MBUs as large as sixteen bits in a single frame.

DEd (Curriculum Studies) / Department of Curriculum Studies / Poor learner academic performance is a major problem in South African public schools today. A considerable number of schools in the Vhembe District are dysfunctional. While the Department of Basic Education (DoBE) is attempting to intervene in these schools to address this problem, the interventions and turnaround strategies have not been sustainable. In schools where interventions and turn around strategies are being provided, such interventions have been short lived and were not sustainable. The aim of the study was to investigate the issues affecting teachers in dysfunctional secondary schools in order to develop a model for creating a sustainable teaching and learning environment. This study used both quantitative and qualitative research designs in which questionnaires, interview and observation schedules were used, for data collection processes. Purposive sampling procedure was used to select participants. Quantitative data was analysed using IBM Statistical package for Social Sciences Version 23 (IBM SPSS statistics), and Atlas.ti Version 6 programme for qualitative data. Results showed that conditions in the schools were not conducive to the promotion of quality teaching and learning. Teachers were demotivated resulting in poor performance in all school activities which contributed to rendering the schools dysfunctional. Some teachers even left the profession. A model was developed for the creation of a sustainable teaching and learning environment in dysfunctional secondary schools in the Mutale area.