This thesis concentrates on the new role of African union (AU) as regional player in conflict resolution in Africa. Created in 2000 as heritage organisation after the not very successfull Organisation of african unity, AU took several measures in order to become a more effective actor in collective security and better suited for conflict resolution. In order to evaluate the perspectives and viability of AU as regional player in the security dimension, the thesis evaluates the case of the conflict in Darfur where AU plays a leading role in the efforts of the international community. Based on the theoretical framework of conflict resolution theory, it concentrates on the role of AU as regional player in conflict resolution and gives a glace into the topic of african regional organisations and their role in conflict resolution.

The E01-011 experiment at Jefferson Laboratory (JLab) studied light-to-medium mass Lambda hypernuclei via the (e,e'K+) electroproduction reaction. Precise measurement of hypernuclear ground state masses and excitation energies provides information about the nature of hyperon-nucleon interactions. Until recently, hypernuclei were studied at accelerator facilities with intense pi+ and K- meson beams. The poor quality of these beams limited the resolution of the hypernuclear excitation energy spectra to about 1.5 MeV (FWHM). This resolution is not sufficient for resolving the rich structure observed in the excitation spectra. By using a high quality electron beam and employing a new high resolution spectrometer system, this study aims to improve the resolution to a few hundred keV with an absolute precision of about 100 keV for excitation energies. In this work the high-resolution excitation spectra of 12B-Lambda, 7He-Lambda, and 28Al-Lambda hypernuclei are presented. In an attempt to emphasize the presence of the core-excited states we introduced a novel likelihood approach to particle identification (PID) to serve as an alternative to the commonly used standard hard-cut PID. The new method resulted in almost identical missing mass spectra as obtained by the standard approach. An energy resolution of approximately 400-500 keV (FWHM) has been achieved, an unprecedented value in hypernuclear reaction spectroscopy. For 12B-Lambda the core-excited configuration has been clearly observed with significant statistics. The embedded Lambda hyperon increases the excitation energies of the 11B nuclear core by 0.5-1 MeV. The 7He-Lambda spectrum has been observed with significant statistics for the first time. The ground state is bound deeper by roughly 400 keV than currently predicted by theory. Indication for the core-excited doublet, which is unbound in the core itself, is observed. The measurement of 28Al-Lambda provides the first study of a d-shell hypernucleus with sub-MeV resolution. Discrepancies of up to 2 MeV between measured and theoretically predicted binding energies are found. Similar disagreement exists when comparing to the 28Si-Lambda mirror hypernucleus. Also the core-excited structure observed between the major s-, p- and d-shell Lambda orbits is not consistent with the available theoretical calculations. In conclusion, the discrepancies found in this study will provide valuable input for the further development of theoretical models.

Neste trabalho é proposta uma adaptação do método de Mínimos Quadrados aplicado à reconstrução de imagens com Super-Resolução, visando a reconstrução de vídeo (sequências de imagens) em tempo real. Resultados demonstram que a implementação proposta pode apresentar um desempenho melhor que o algoritmo de menor custo computacional da literatura, com um pequeno incremento no número de operações. Por fim, a estrutura proposta sugere viabilidade de análise. De posse de um modelo teórico de comportamento, parâmetros ótimos de projeto podem ser obtidos melhorando ainda mais o desempenho do algoritmo. / In this work an adaptation of the Least Squares method applied to Super-Resolution image reconstruction is proposed aiming real time video (image sequences) reconstruction. Results demonstrate that the proposed implementation presents a better performance than the algorithm with the lower computational cost presented in the literature, considering a small increase in the number of operations. Finally, the proposed structure suggests feasibility of analysis. A theoretical model for the algorithm behavior can leads to an optimal parameters design yielding further improvements in the algorithm performance.

Realtime Magnetic Resonance Imaging (MRI) is a method used for human anatomical study. MRIs give exceptionally detailed information about soft-tissue structures, such as tongues, that other current imaging techniques cannot achieve. However, the process requires special equipment and is expensive. Hence, it is not quite suitable for all patients. Speech diagrams show the side view positions of organs like the tongue, throat, and lip of a speaking or singing person. The process of making a speech diagram is like the semantic segmentation of an MRI, which focuses on the selected edge structure. Speech diagrams are easy to understand with a clear speech diagram of the tongue and inside mouth structure. However, it often requires manual annotation on the MRI machine by an expert in the field. By using machine learning methods, we achieved transferring images between MRI and speech diagrams in two directions. We first matched videos of speech diagram and tongue MRIs. Then we used various image processing methods and data augmentation methods to make the paired images easy to train. We built our network model inspired by different cross-domain image transfer methods and applied reference-based super-resolution methods—to generate high-resolution images. Thus, we can do the transferring work through our network instead of manually. Also, generated speech diagram can work as an intermediary part to be transferred to other medical images like computerized tomography (CT), since it is simpler in structure compared to an MRI. We conducted experiments using both the data from our database and other MRI video sources. We use multiple methods to do the evaluation and comparisons with several related methods show the superiority of our approach.

Recent development of super-resolution (SR) fluorescence microscopy techniques has provided a new tool for direct visualization of subcellular structures and their dynamics in cells. The homing of Hematopoietic stem/progenitor cells (HSPCs) to bone marrow is a multistep process that is initiated by tethering of HSPCs to endothelium and mediated by spatiotemporally organised ligand-receptor interactions of selectins expressed on endothelial cells to their ligands expressed on HSPCs which occurs against the shear stress exerted by blood flow. Although molecules and biological processes involved in this multi-step cellular interaction have been studied extensively, molecular mechanisms of the homing, in particular the nanoscale spatiotemporal behaviour of ligand-receptor interactions and their role in the cellular interaction, remain elusive. Using our new method of microfluidics-based super-resolution fluorescence imaging platform we can now characterize the correlation between both nanoscale ligand-receptor interactions and tethering/rolling of cells under external shear stress. We found that cell rolling on E-selectin caused significant reorganization of the nanoscale clustering behavior of CD44 and CD43, from a patchy clusters of ~ 200 nm in size to an elongated network-like structures where for PSGL-1 the clustering size did not change significantly as it was 85 nm and after cell rolling the PSGL-1 aggregated to one side or even exhibited an increase in the footprint. Furthermore, I have established the use of 3D SR images that indicated that the patchy clusters of CD44 localize to protruding structures of the cell surface. On the other hand, a significant amount of the network-like elongated CD44 clusters observed after the rolling were located in the close proximity to the E-selectin surface. The effect of the nanoscale reorganization of the clusters on the HSPC rolling over selectins is still an open question at this stage. Nevertheless, my results further demonstrate that this mechanical force-induced reorganisation is accompanied by a large structural reorganisation of actin cytoskeleton. Our microfluidics-based SR imaging also demonstrate an essential role of the nanoscale clustering of CD44 on stable rolling behaviours of cells. Our new experimental platform enhances understanding of the relationship between nanoscopic ligand-receptor interactions and macroscopic cellular interactions, providing a foundation for characterizing complicated HSPC homing

In this thesis, I tackle the problem of facial image super-resolution using convolutional neural networks with focus on preserving identity. I propose a method consisting of DPNet architecture and training algorithm based on state-of-the-art super-resolution solutions. The model of DPNet architecture is trained on Flickr-Faces-HQ dataset, where I achieve SSIM value 0.856 while expanding the image to four times the size. Residual channel attention network, which is one of the best and latest architectures, achieves SSIM value 0.858. While training models using adversarial loss, I encountered problems with artifacts. I experiment with various methods trying to remove appearing artefacts, which weren't successful so far. To compare quality assessment with human perception, I acquired image sequences sorted by percieved quality. Results show, that quality of proposed neural network trained using absolute loss approaches state-of-the-art methods.

Doctor Educationis / An organisation or country that aims to experience industrial tranquillity and collaboration among social partners in employment relations must put in place an outstanding and potent conflict resolution mechanism. Within the context of labour relations, conflict is predictable in the workplace environment and the result could be a strike or lockout. This result can be avoided if there is an appropriate conflict settlement machinery on the ground. Overall, conflict resolution mechanisms must be centred around negotiation and dialogue which is an integral part of dealing with discord whenever it arises in employment relations. This study seeks to investigate the efficacy of mechanisms for conflict resolution in employment relations at a multinational company in Nigeria and South Africa. The study also examines the effectiveness of the machinery for regulating the affairs of labour relations statutorily or voluntarily. Additionally, the study undertakes a comparative analysis of different mechanisms employed whenever conflicts arise in both employment relations environments that are in South Africa and Nigeria. This analysis gives more insight into how conflict resolution mechanisms work in South Africa as compared to Nigeria. Moreover, the study explores the necessary tools and frameworks of legislative resolution instruments that lead to long-term reconciliation and peace thereby reducing the rate of disputes in employment relations in South Africa as well as Nigeria. A non-experimental descriptive research design that utilises a survey approach was adopted in the study. The research employed a mixed-method approach, that is, qualitative and quantitative data collection methods. A total of 400 questionnaires were distributed to respondents in two organisations, 200 for each organisation in Nigeria, and South Africa respectively via online google forms. A total of 363 responses were returned for the quantitative data collection while a total of 20 respondents participated in online interviews as part of the qualitative data collection. Thus, the final aggregate sample size for this research was 383 participants. Results from the study indicated that the conflict resolution mechanism in South Africa functioned successfully compared to that of the counterpart organisation in Nigeria. Moreover, the study revealed that South Africa has a developed apparatus for managing industrial conflicts. possibly in Africa as a whole. This was found to be xi because of how the South African government rigidly pitched a high labour legislative framework and requirement concerning labour conflict resolution. This is intended to create a conducive and harmonious labour relations environment. It is assumed that introducing a similar legislative framework into Nigeria’s labour relations environment will also foster a more harmonious relationship amongst the parties and social partners. Finally, the study proposes and recommends that host environments of multinational corporations in Africa must continuously review their conflict resolution frameworks so that it serves as a guide for the operations of multinational companies that come to their countries. In addition, the study highlights that such mechanisms must make provision for opportunities for employees to feel that they are heard through sincere dialogue processes and effective communication channels between employers and employees. Overall, the study recommends that accommodating and congruent conflict resolution strategies must be encouraged among members of staff to facilitate a nonviolent labour relations atmosphere.

This work deals with the influence of MDAC (multiplying DAC) resolution on basic blocks of pipelined AD converter. The MDAC was designed with 1,5 and 2,5 bits resolution structure using switched capacitor technique (SC) utilizing CMOS 0,7 m technology. Basic stages of this pipelined ADC are analyzed and compared.

Once mediation has started, the issue of leverage (sticks and carrots) as a specific tool of mediation often comes into play. There appears to be two divergent views on the use of leverage in the mediation process. One school of thought, although not actually propagating leverage, does concede that it might be necessary and useful under certain circumstances. The other disagrees and expresses caution in using leverage in the mediation process. This study will focus on the issue of leverage in the Namibian mediation process, culminating in the independence of Namibia on 21 March 1990. It specifically deals with the following questions: To what extent was leverage used in the mediation process? How did the mediator(s)employ leverage, what leveraging resources were brought to bear on the conflicting parties, and at what point in the process did this leveraging happen? The purpose is to determine whether, in the light of theoretical arguments for and against the use of leverage, one could conclude that, under certain conditions, leverage is both necessary and effective in ensuring a successful outcome to the mediation process. The research study is structured as follows: Chapter 1 introduces the topic, the purpose and the nature of the study. An in-depth analysis of mediation theories, focusing specifically on the issue of leverage, is provided in Chapter 2, the purpose being to develop a framework for analysis in determining the extent to which leverage was utilised in the Namibian mediation process. An historical background to the conflict in Namibia is presented in Chapter 3 in order to contextualise the focus in the following chapters, dealing specifically with the Namibian mediation process. In Chapter 4, data analyses and findings are summarised, and aspects that might provide lessons for mediation, particularly as far as the use of leverage is concerned, are identified; and where applicable, further avenues for research are suggested. In conclusion, Chapter 5 presents a summary and critical look at all the mediation processes, both multilateral and bilateral, and the challenges that were encountered during these processes, leading up to the signing of Tripartite and Bilateral Agreements in New York on 22 December 1988. / Mini-dissertation (MA)--University of Pretoria, 2014. / tm2015 / Political Sciences / MA / Unrestricted

The resolutions of acquired image and volume data are ever increasing. However, the resolutions of commodity display devices remain limited. This leads to an increasing gap between data and display resolutions. To bridge this gap, the standard approach is to employ output-sensitive operations on multi-resolution data representations. Output-sensitive operations facilitate interactive applications since their required computations are proportional only to the size of the data that is visible, i.e., the output, and not the full size of the input. Multi-resolution representations, such as image mipmaps, and volume octrees, are crucial in providing these operations direct access to any subset of the data at any resolution corresponding to the output. Despite its widespread use, this standard approach has some shortcomings in three important application areas, namely non-linear image operations, multi-resolution volume rendering, and large-scale image exploration. This dissertation presents new multi-resolution representations for large-scale images and volumes that address these shortcomings. Standard multi-resolution representations require low-pass pre-filtering for anti- aliasing. However, linear pre-filters do not commute with non-linear operations. This becomes problematic when applying non-linear operations directly to any coarse resolution levels in standard representations. Particularly, this leads to inaccurate output when applying non-linear image operations, e.g., color mapping and detail-aware filters, to multi-resolution images. Similarly, in multi-resolution volume rendering, this leads to inconsistency artifacts which manifest as erroneous differences in rendering outputs across resolution levels. To address these issues, we introduce the sparse pdf maps and sparse pdf volumes representations for large-scale images and volumes, respectively. These representations sparsely encode continuous probability density functions (pdfs) of multi-resolution pixel and voxel footprints in input images and volumes. We show that the continuous pdfs encoded in the sparse pdf map representation enable accurate multi-resolution non-linear image operations on gigapixel images. Similarly, we show that sparse pdf volumes enable more consistent multi-resolution volume rendering compared to standard approaches, on both artificial and real world large-scale volumes. The supplementary videos demonstrate our results. In the standard approach, users heavily rely on panning and zooming interactions to navigate the data within the limits of their display devices. However, panning across the whole spatial domain and zooming across all resolution levels of large-scale images to search for interesting regions is not practical. Assisted exploration techniques allow users to quickly narrow down millions to billions of possible regions to a more manageable number for further inspection. However, existing approaches are not fully user-driven because they typically already prescribe what being of interest means. To address this, we introduce the patch sets representation for large-scale images. Patches inside a patch set are grouped and encoded according to similarity via a permutohedral lattice (p-lattice) in a user-defined feature space. Fast set operations on p-lattices facilitate patch set queries that enable users to describe what is interesting. In addition, we introduce an exploration framework—GigaPatchExplorer—for patch set-based image exploration. We show that patch sets in our framework are useful for a variety of user-driven exploration tasks in gigapixel images and whole collections thereof.