The essence of the thesis is to evaluate the effectiveness of targeted subsidies in the selected region. Of the many special-purpose grants provided were the following three: Natural handicap payments provided in mountain areas and payments in other less favored areas (LFA), agrienvironmental measures (AEO) and the national supplementary pension (Top-up). On the basis of selected indicators, an evaluation of the effectiveness of targeted support for the period 2005-2010.

Thesis (MSc)--Stellenbosch University, 2011. / ENGLISH ABSTRACT: The Exxaro Namakwa Sands heavy mineral sands mine at Brand-se-Baai, on the west coast of South Africa, is an important source of income, development and job-creation in the region. However, this comes at a great environmental cost, as strip mining causes large scale destruction of ecosystems through the complete removal of vegetation and topsoil. This is particularly problematic in an environment, such as Namaqualand, where the arid and windy climate, as well as saline and nutrient-poor soils, hamper rehabilitation. These environmental constraints create the need to develop a site-specific rehabilitation program. At Namakwa Sands the objective of rehabilitation is to “rehabilitate and re-vegetate disturbed areas and establish a self-sustaining Strandveld vegetation cover in order to control dust generation, control wind and water erosion, as well as restore land capability. In general, vegetation will be rehabilitated to a minimum grazing standard capable of supporting small stock (sheep) grazing.” In order to achieve this Namakwa Sands conducted rehabilitation experiments with topsoil replacement, seeding of indigenous species and translocation of mature plants. Monitoring is an important part of the rehabilitation process as it allows rehabilitation practitioners to evaluate success and to adapt their management strategies and rehabilitation methods, as well as to evaluate and, if necessary, change their rehabilitation objectives. This study forms part of the monitoring process at Namakwa Sands. It assesses the success of sites that were experimentally rehabilitated in 2001 and a site that was rehabilitated in 2008, using current practice, in order to identify possible management requirements on rehabilitated sites as well as improvements on rehabilitation objectives, methods and monitoring. This study also tests the Landscape Function Analysis (LFA) as rehabilitation monitoring tool by correlating LFA indices with traditional measurements of biophysical variables or their surrogates. Results showed that experimental sites were not successful in returning vegetation cover and plant species richness to the required levels, but did achieve the grazing capacity objective. These sites will need adaptive management to achieve the vegetation cover and plant species richness objectives. The recently rehabilitated site achieved the three-year vegetation cover and plant species richness objectives, as well as the grazing capacity objective, within two years after rehabilitation. Namakwa Sands should therefore continue using the current rehabilitation method. However, rehabilitation should be done in multiple stages in future to decrease the mortality of nursery cuttings and to facilitate the return of late successional species to rehabilitated sites. The sustainability of small stock farming on rangeland with the grazing capacity that is identified as the minimum objective is questionable and this merits further investigation. LFA can be a useful tool to monitor nutrient cycling and soil stability at Namakwa Sands, provided that enough replicates are used. However, LFA cannot be used as is to assess water infiltration at Namakwa Sands, due to assumptions in the calculation of this index that do not hold for the Namaqualand environment. Landscape functioning should be monitored annually to complement vegetation surveys. / AFRIKAANSE OPSOMMING: Die Exxaro Namakwa Sands swaarminerale-sandmyn by Brand-se-Baai, aan die weskus van Suid-Afrika, is ‘n belangrike bron van inkomste, ontwikkeling en werkskepping in die streek. Daar is egter negatiewe omgewingsimpakte aan verbonde, aangesien die strookmyntegniek grootskaalse vernietiging van ekosisteme veroorsaak deur die algehele verwydering van die plantegroei en bogrond. Dit is veral problematies in ‘n omgewing, soos Namakwaland, waar die droë en winderige klimaat, asook die souterige en voedingstof-arme grond, rehabilitasie belemmer. Hierdie beperkings wat deur die omgewing veroorsaak word skep die behoefte om ‘n rehabilitasieprogram te ontwikkel wat spesifiek is tot die terrein. Die doel van rehabilitasie by Namakwa Sands is om te rehabiliteer en herplant op versteurde gebiede en om selfonderhoudende Strandveld plantbedekking te vestig om sodoende stofgenerering te beheer, om wind- en watererosie te beheer, en om grondgebruik-vermoë te herstel. In die algemeen sal plantbedekking gerehabiliteer word tot ‘n minimum weidingskapasiteit wat kleinveeweiding (skaapweiding) kan onderhou. Om dit te bereik het Namakwa Sands rehabilitasie-eksperimente uitgevoer met terugplasing van bogrond, saai van inheemse spesies en oorplanting van volwasse inheemse plante. Monitering is ‘n belangrike deel van die rehabilitasieproses, aangesien dit rehabilitasie-praktisyns in staat stel om sukses te evalueer en om bestuurstrategieë en rehabilitasiemetodes aan te pas, sowel as om rehabilitasiedoelwitte te evalueer en, indien nodig, aan te pas. Hierdie studie vorm deel van die moniteringsproses by Namakwa Sands. Dit assesseer die sukses op persele wat eksperimenteel gerehabiliteer is in 2001 en ‘n perseel wat in 2008 gerehabiliteer is, volgens die huidige praktyk, om moontlike bestuursbehoeftes op gerehabiliteerde persele en verbeteringe aan rehabilitasiedoelwitte, -metodes en –monitering te identifiseer. Hierdie studie toets ook die geskiktheid van die Landscape Function Analysis (LFA) as ‘n rehabilitasie-moniteringsinstrument deur LFA-indekse met tradisionele metings van biofisiese veranderlikes of hul surrogate te korreleer. Resultate dui daarop dat eksperimentele persele nie suksesvol was om plantbedekking en plantspesies-rykdom tot die vereiste vlakke te herstel nie, maar wel die weidingskapasiteit-doelwit bereik het. Hierdie persele benodig aanpassingsbestuur om plantbedekking- en plantspesiesrykdom-doelwitte te bereik. Die perseel wat onlangs gerehabiliteer is, het binne twee jaar na rehabilitasie die drie-jaar plantbedekking- en plantspesiesrykdom-doelwitte, sowel as die weidingskapasiteitdoelwit bereik. Daarom moet Namakwa Sands voortgaan om die huidige rehabilitasiemetode te gebruik. Rehabilitasie moet egter in die toekoms in veelvoudige stadiums gedoen word om die mortaliteit van kwekery-steggies te verminder en om die terugkeer van laatsuksessionele spesies na gerehabiliteerde persele te fasiliteer. Die volhoubaarheid van kleinveeboerdery op weiveld met die minimum vereiste weidingskapasiteit word betwyfel en vereis verdere ondersoek. LFA kan ‘n bruikbare instrument wees om siklering van voedingstowwe en grondstabiliteit te monitor by Namakwa Sands indien genoeg repliserings gebruik word. LFA kan egter nie in die huidige vorm gebruik word om waterinfiltrasie by Namakwa Sands te assesseer nie, aangesien daar aannames in die berekening van die indeks is wat nie juis is in die Namakwaland omgewing nie. Landskapfunksionering behoort jaarliks gemoniteer te word om plantopnames aan te vul.

This thesis deals with the evaluation of the quality of life in rural communities in the Region of Prachatice. The thesis is also focused on the evaluation of the economic weakness of the municipalities, its causes and manifestations, and, at least, the possibility of improving life in these communities. An integral part of this work is finding those sources of funding and the related use of funds and grants. In the theoretical part, I have discussed the importance of the regional and social policy focusing on rural issues and their development, with the development of the regions linked to the use of subsidies and the disbursement of funds, especially funds of the European Union. In the practical part, contingency tables and cluster analysis are used, as well as special methods. The results of this study has confirmed that quality of life in LFA municipalities and their economic weakness depends on the size of the village. The conclusion provides an overall assessment of the work and its results.

Le lymphome angioimmunoblastique à cellules T (AITL) est un lymphome périphérique à cellules T agressif dont les symptômes sont la lymphadénopathie et l'hypergammaglobulinémie. Actuellement, les patients atteints du AITL ont des options de thérapeutiques limitées et des résultats cliniques défavorables, avec un taux de survie sur 5 ans d'environ 30%. Les cellules tumorales du AITL proviennent de cellules T CD4+ appelées cellules T auxiliaires folliculaires (Tfh). Les cellules Tfh sont essentielles dans le centre germinatif (GC), où elles facilitent l'expansion et la différentiation des cellules B en plasmocytes. Cette fonction d'aide est soutenue par de nombreuses protéines dérivées des cellules Tfh et des programmes de transcription qui pourraient aussi fonctionner dans les cellules tumorales du AITL. Par conséquent, la perturbation des principaux mécanismes de signalisation soutenant l'identité des cellules Tfh et leurs interactions avec les cellules B pourrait inhiber la croissance du AITL. Des études ont démontré que les cellules hyperactives de type Tfh provoquent une accumulation de cellules immunitaires telles que les cellules B, les plasmocytes et les macrophages dans les tumeurs. Cependant, le microenvironnement du AITL n'a pas été bien étudié et il n'a pas été vérifié si certaines cellules immunitaires pourraient être utilisées pour arrêter la croissance de la tumeur. Bien que l’on trouve des cellules Tfh circulantes dans l’AITL humain, le taux de propagation peut varier d’un patient à l’autre. Ainsi, une possibilité est la présence de mécanismes de surveillance immunitaire s'opposant à la progression de la tumeur. En accord avec cette hypothèse, un signal positif pour la phagocytose nommé SLAMF7 (contrebalancé par la voie inhibitrice CD47-SIRPα) est exprimé dans un sous-ensemble de patients atteints du AITL. Toutefois, la corrélation entre les différents niveaux d'expression du SLAMF7 et l'amélioration des résultats pour les patients n'a pas été étudiée. En utilisant des souris Roquinsan/+, qui développent spontanément l’AITL, nous avons étudié le rôle des mécanismes de signalisation immunitaire dans les cellules tumorales de type Tfh et du microenvironnement tumoral. Nous avons cherché à inhiber les protéines et les voies de signalisation typiques des cellules Tfh dans les tumeurs afin d'évaluer la valeur thérapeutique potentielle. Nous avons aussi étudié le rôle de la phagocytose dépendante des macrophages dans le contexte SLAMF7 et comment la modulation de la signalisation de CD47-SIRPα peut améliorer l'efficacité de la phagocytose des cellules tumorales. Notre hypothèse centrale est qu'en supprimant les programmes fondamentaux des cellules Tfh ou en favorisant l'élimination phagocytaire des cellules tumorales de type Tfh, nous pouvons favoriser la régression de la tumeur. Nous avons démontré que les tumeurs AITL nécessitent des protéines d’identité des cellules Tfh essentielles telles que le facteur de transcription Bcl6 et la protéine adaptatrice SAP, ainsi que la communication entre les cellules T et B (T-B). Même en l'absence de GC classiques, les cellules tumorales de type Tfh ont apporté un soutien aux cellules B. Cela est démontré par des titres élevés d'IgG et l'accumulation de cellules précurseurs des plasmocytes dans les tumeurs. Nous avons trouvé des preuves de l'opposition entre la surveillance immunitaire et l'évasion au sein des tumeurs de type AITL, car les cellules Tfh augmentent l’expression de la molécule inhibitrice CD47 tandis que les macrophages stimulent le niveau de SLAMF7. Les cellules de type AITL ont été phagocytées plus efficacement in vitro quand la signalisation du CD47 était bloquée. En résumé, nous démontrons que les voies de signalisation importantes pour l'identité des cellules Tfh et la communication entre les cellules T et B sont essentielles pour la progression de l’AITL et suggèrent qu’une surveillance immunitaire continue par les macrophages peut influencer l’évolution de la maladie. Des études futures pourraient explorer la possibilité de combiner des inhibiteurs de l'activité des cellules Tfh ou T-B avec des médicaments qui stimulent l'activité phagocytaire antitumorale pour améliorer l'efficacité thérapeutique du traitement. / Angioimmunoblastic T cell lymphoma (AITL) is an aggressive peripheral T cell lymphoma manifesting with symptoms such as generalized lymphadenopathy and hypergammaglobulinemia. Currently, AITL patients have limited treatment options and poor clinical outcomes with a 5-year survival rate around 30%. AITL tumor cells derive from a subset of CD4+ T cell, the T follicular helper (Tfh) cell. Tfh cells are essential in germinal centers (GC), where they facilitate B cell expansion and differentiation into plasma cells. This helper function is supported by numerous Tfh cell-derived proteins and transcriptional programs which may still be operational in AITL tumor cells. Therefore, disrupting key signaling mechanisms sustaining Tfh cell identity and their ability to interact with B cells could inhibit AITL tumor growth. Studies have demonstrated that these hyperactive Tfh-like cells lead to the accumulation of immune cell subsets such as B cells, plasma cells, and macrophages within tumor lymph nodes. Nevertheless, the AITL tumor microenvironment itself has not been well-studied and whether some immune cells could be harnessed to impede tumor growth has not been tested. In human AITL, although circulating Tfh cells have been reported, the rate of tumor spreading can vary between patients. As such, one possibility is the presence of immune surveillance mechanisms opposing tumor progression. In line with this idea, SLAMF7, a positive signal for macrophage-mediated phagocytosis (counterbalanced by the inhibitory CD47-SIRPα pathway), is expressed in a subset of AITL patients. Despite this, whether differing levels of SLAMF7 expression correlates with improved patient outcomes has not been investigated. Using Roquinsan/+ mice, a spontaneous AITL-like mouse model, we addressed the role of immune signaling mechanisms within Tfh-like tumor cells and the surrounding tumor microenvironment that would promote tumor regression. First, we aimed to inhibit signature Tfh cell proteins and downstream signaling pathways in developed AITL-like tumors to evaluate potential therapeutic value. Second, we investigated the role of macrophage-mediated phagocytosis in the context of SLAMF7 and how modulating CD47-SIRPα signaling may enhance the efficiency of AITL tumor cell engulfment. Our central hypothesis is that by removing fundamental Tfh cell supporting programs from tumor cells or by promoting the phagocytic removal of Tfh-like tumor cells we can favour tumor regression and impair future growth. Through this work, we demonstrated that AITL-like tumors continuously require critical Tfh cell identity proteins such as transcription factor Bcl6 and adaptor protein SAP, as well as T cell-B cell (T-B) crosstalk. Importantly, despite the absence of conventional GCs, Tfh-like tumor cells provided functional support to B cells as evidenced by elevated IgG titers and accumulation of plasma cell precursors in tumors. We also found evidence of opposition between immune surveillance and evasion within AITL-like tumors as Tfh-like cells upregulated inhibitory CD47 levels while macrophages increased expression of prophagocytic SLAMF7. Moreover, AITL-like tumor cells were more efficiently phagocytosed in vitro when CD47 signaling was blocked. Taken together, we demonstrate that pathways important for Tfh cell identity and T-B communication are critical for AITL-like disease progression and suggest that ongoing macrophage-mediated immune surveillance may influence disease outcomes. Future studies may explore combining inhibitors of Tfh cell activity or T-B crosstalk along with drugs which boost antitumor phagocytic activity to further improve the therapeutic efficacy of treatment.

Problems involving optimal sequential making in uncertain dynamic systems arise in domains such as engineering, science and economics. Such problems can often be cast in the framework of Markov Decision Process (MDP). Solving an MDP requires computing the optimal value function and the optimal policy. The idea of dynamic programming (DP) and the Bellman equation (BE) are at the heart of solution methods. The three important exact DP methods are value iteration, policy iteration and linear programming. The exact DP methods compute the optimal value function and the optimal policy. However, the exact DP methods are inadequate in practice because the state space is often large and in practice, one might have to resort to approximate methods that compute sub-optimal policies. Further, in certain cases, the system observations are known only in the form of noisy samples and we need to design algorithms that learn from these samples. In this thesis we study interesting theoretical questions pertaining to approximate and learning algorithms, and also present an interesting application of MDPs in the domain of crowd sourcing. Approximate Dynamic Programming (ADP) methods handle the issue of large state space by computing an approximate value function and/or a sub-optimal policy. In this thesis, we are concerned with conditions that result in provably good policies. Motivated by the limitations of the PBE in the conventional linear algebra, we study the PBE in the (min, +) linear algebra. It is a well known fact that deterministic optimal control problems with cost/reward criterion are (min, +)/(max, +) linear and ADP methods have been developed for such systems in literature. However, it is straightforward to show that infinite horizon discounted reward/cost MDPs are neither (min, +) nor (max, +) linear. We develop novel ADP schemes namely the Approximate Q Iteration (AQI) and Variational Approximate Q Iteration (VAQI), where the approximate solution is a (min, +) linear combination of a set of basis functions whose span constitutes a subsemimodule. We show that the new ADP methods are convergent and we present a bound on the performance of the sub-optimal policy. The Approximate Linear Program (ALP) makes use of linear function approximation (LFA) and offers theoretical performance guarantees. Nevertheless, the ALP is difficult to solve due to the presence of a large number of constraints and in practice, a reduced linear program (RLP) is solved instead. The RLP has a tractable number of constraints sampled from the original constraints of the ALP. Though the RLP is known to perform well in experiments, theoretical guarantees are available only for a specific RLP obtained under idealized assumptions. In this thesis, we generalize the RLP to define a generalized reduced linear program (GRLP) which has a tractable number of constraints that are obtained as positive linear combinations of the original constraints of the ALP. The main contribution here is the novel theoretical framework developed to obtain error bounds for any given GRLP. Reinforcement Learning (RL) algorithms can be viewed as sample trajectory based solution methods for solving MDPs. Typically, RL algorithms that make use of stochastic approximation (SA) are iterative schemes taking small steps towards the desired value at each iteration. Actor-Critic algorithms form an important sub-class of RL algorithms, wherein, the critic is responsible for policy evaluation and the actor is responsible for policy improvement. The actor and critic iterations have deferent step-size schedules, in particular, the step-sizes used by the actor updates have to be generally much smaller than those used by the critic updates. Such SA schemes that use deferent step-size schedules for deferent sets of iterates are known as multitimescale stochastic approximation schemes. One of the most important conditions required to ensure the convergence of the iterates of a multi-timescale SA scheme is that the iterates need to be stable, i.e., they should be uniformly bounded almost surely. However, the conditions that imply the stability of the iterates in a multi-timescale SA scheme have not been well established. In this thesis, we provide veritable conditions that imply stability of two timescale stochastic approximation schemes. As an example, we also demonstrate that the stability of a widely used actor-critic RL algorithm follows from our analysis. Crowd sourcing (crowd) is a new mode of organizing work in multiple groups of smaller chunks of tasks and outsourcing them to a distributed and large group of people in the form of an open call. Recently, crowd sourcing has become a major pool for human intelligence tasks (HITs) such as image labeling, form digitization, natural language processing, machine translation evaluation and user surveys. Large organizations/requesters are increasingly interested in crowd sourcing the HITs generated out of their internal requirements. Task starvation leads to huge variation in the completion times of the tasks posted on to the crowd. This is an issue for frequent requesters desiring predictability in the completion times of tasks specified in terms of percentage of tasks completed within a stipulated amount of time. An important task attribute that affects the completion time of a task is its price. However, a pricing policy that does not take the dynamics of the crowd into account might fail to achieve the desired predictability in completion times. Here, we make use of the MDP framework to compute a pricing policy that achieves predictable completion times in simulations as well as real world experiments.