In this qualitative text analysis paper the author examined how the Swedish Green party, the Moderate party, the Christian Democrats and the Swedish Social Democratic party described female representation during the years 2001-2013 at their party congresses. With party strategic categories constructed by Lena Wägnerud and one self-constructed category with the help of works by Ann Phillips a total of 5 categories was used to separate the different statements regarding female representation. The categories were attack, win voters, comparisons, bragging and other. The results of the study show that the focus of female representation has shifted from a focus on female political representation to female representation in the business world, mostly representation in the board rooms. The results also show that all parties express themselves about female representation but in different ways. The Swedish Social Democratic party is the only party that focuses mainly on female representation as a question of justice and democracy, statements that fall under the category other. The other parties in this paper all had their focus on strategic statements that fall under Lena Wägneruds categories.

Vorliegende Dissertation greift in zeitgenössische Debatten queerer und feministischer Politiken durch die Analyse von Gegenwartsliteratur ein. Hatte die zweiten Frauenbewegung vertreten, dass im Zentrum politischer Veränderungen stets persönliche Veränderungen stehen, nutzt die Arbeit mit diesem Ausgangspunkt ein scheinbar anachronistisches Paradigma, um solche Narrative zu kritisieren, die Queerness sowie queere Politik und Theorie im Präsens, lesbischen Feminismus dagegen in der Vergangenheit positionieren wollen. These ist dagegen, dass die utopischen Impulse des lesbischen Feminismus der zweiten Frauenbewegung sich mit aktueller queerer Politik überschneiden und dass beide auf zu differenzierende Art Praktiken und Konzepte von Intimität in den Vordergrund stellen, die auf soziale Transformationen in größerem Maßstab verweisen. Die Erkundung der komplexen Weisen, in denen Politik durch Intimität praktiziert wird, erfolgt hier am Beispiel der Figur der Lesbe in der zeitgenössischen Anglo-Amerikanischen Literatur, speziell in Auseinandersetzung mit der Literatur der kanadischen Schriftstellerin Ann-Marie MacDonald. Mit Figur oder Trope der Lesbe im Zentrum der Analyse ist ein spezifischer historischer und politischer Kontext signalisiert. Die Lesbe sowie lesbian existence als eine feministische Praxis bieten einen produktiven Ausgangspunkt, weil beide im Lauf der Zeit oft und teils simultan als das Abjekt oder das idealisierte Objekt von sexueller und Genderpolitik konstruiert worden sind. Darüber hinaus markiert lesbischer Feminismus einen bestimmten zeitlichen Ort sowie eine politische Funktion und besetzt einen bestimmten Platz im feministischen und queeren Imaginären. Aufgabe der Dissertation ist es, die Potentiale herauszuarbeiten, die heute noch immer von der Figur der Lesbe und vom lesbischem Feminismus ausgehen, ohne dabei deren teils unbequeme Beziehung zum beachtlichen Einfluss der Queer Theory aus den Augen zu verlieren. / This dissertation intervenes in contemporary debates in queer and feminist politics through an analysis of literary fiction. Taking as its point of departure the second-wave feminist claim that personal and intimate transformation are at the heart of political transformation, it uses a seemingly anachronistic paradigm to critique linear narratives that position queerness and queer politics and theory in the present and lesbian feminism in the past. It argues that the utopian impulses of second-wave lesbian feminism overlap with those of contemporary queer politics, and claims that both foreground practices and conceptions of intimacy that prefigure broader social change. Exploring the ways in which politics are enacted via intimacy, this dissertation takes as its object of study the figure of the lesbian in contemporary Anglo-American literature, specifically engaging with the fiction of Canadian writer Ann-Marie MacDonald. Situating the figure of the lesbian at the centre of this analysis signals a specific historical, political, and social context. The lesbian, as a figure or trope, or lesbian existence, as a way of doing feminism, offers a productive point of departure for such considerations because both have, over time, been variously and often simultaneously constructed as either the abject or idealized object of sexual and gender politics. Lesbian feminism signals a specific temporal location and political function and holds a particular space in the feminist and queer imaginary. While exploring both the influence of queer theory and politics in the political and theoretical structures of sexuality, and the unprecedented mainstreaming both of (certain versions of) non-heterosexuality and (certain versions of) feminism, this dissertation’s project is to consider the possibilities still generated by the figure of the lesbian and lesbian feminism, while considering its sometimes-uncomfortable relationship to the considerable influence of queer theory.

Intra-prediction is a method for coding standalone frames in video coding. Until now, this has mainly been done using linear formulae. Using an Artificial Neural Network (ANN) may improve the prediction accuracy, leading to improved coding efficiency. In this degree project, Fully Connected Networks (FCN) and Convolutional Neural Networks (CNN) were used for intra-prediction. Experiments were done on samples from different image sizes, block sizes, and block contents, and their effect on the results were compared and discussed. The results show that ANN methods have the potential to perform better or on par with the video coder High Efficiency Video Coding (HEVC) in the intra-prediction task. The proposed ANN designs perform better on smaller block sizes, but different designs could lead to better performance on larger block sizes. It was found that training one network for each HEVC mode and using the most suitable network to predict each block improved performance of the ANN approach. / Intra-prediktion är en metod för kodning av stillbilder i videokodning. Hittills har detta främst gjorts med hjälp av linjära formler. Användning av artificialla neuronnät (ANN) skulle kunna öka prediktionsnoggrannheten och ge högre effektivitet vid kodning. I detta examensarbete användes fully connected networks (FCN) och convolutional neural networks (CNN) för att utföra intra-prediktion. Experiment gjordes på prover från olika bildstorlekar, blockstorlekar och blockinnehåll, och de olika parametrarnas effekt på resultaten jämfördes och diskuterades. Resultaten visar att ANN-metoder har potential att prestera bättre eller lika bra som videokodaren High Efficiency Video Coding (HEVC) för intra-prediktion. De föreslagna ANN-designerna presterar bättre på mindre blockstorlekar, men andra ANN-designs skulle kunna ge bättre prestanda för större blockstorlekar. Det konstaterades att prestandan för ANN-metoderna kunde ökas genom att träna ett nätverk för varje HEVC-mode och använda det mest passande nätverket för varje block.

Options are an important part in today's financial market. It's therefore of high importance to be able to understand when options are overvalued and undervalued to get a lead on the market. To determine this, the relation between the volatility of the underlying asset, called realized volatility, and the market's expected volatility, called implied volatility, can be analyzed. In this thesis five models were investigated for modeling the relation between implied and realized volatility. The five models consisted of one Ornstein–Uhlenbeck model, two autoregressive models and two artificial neural networks. To analyze the performance of the models, different accuracy measures were calculated for out-of-sample forecasts. Signals from the models were also calculated and used in a simulated options trading environment to get a better understanding of how well they perform in trading applications. The results suggest that artificial neural networks are able to model the relation more accurately compared to more traditional time series models. It was also shown that a trading strategy based on forecasting the relation was able to generate significant profits. Furthermore, it was shown that profits could be increased by combining a forecasting model with a signal classification model. / Optioner är en viktig del i dagens finansiella marknad. Det är därför viktigt att kunna förstå när optioner är över- och undervärderade för att vara i framkant av marknaden. För att bestämma detta kan relationen mellan den underliggande tillgångens volatilitet, kallad realiserad volatilitet, och marknadens förväntade volatilitet, kallad implicit volatilitet, analyseras. I den här avhandlingen undersöktes fem modeller för att modellera relationen mellan implicit och realiserad volatilitet. De fem modellerna var en Ornstein–Uhlenbeck modell, två autoregressiva modeller samt två artificiella neurala nätverk. För att analysera modellernas prestanda undersöktes olika nogrannhetsmått för prognoser från modellerna. Signaler från modellerna beräknades även och användes i en simulerad optionshandelsmiljö för att få en bättre förståelse för hur väl de presterar i en handelstillämpning. Resultaten tyder på att artificiella neurala nätverk kan modellera relationen bättre än mer traditionella tidsseriemodellerna. Det visades även att en handelsstrategi baserad på prognoser av relationen kunde generera en signifikant vinst. Det visades dessutom att vinster kunde ökas genom att kombinera en prognosmodell med en modell som klassificerar signaler.

This dissertation explores the inception, evolution, and history of the East Washington community, located in East Point, Georgia. This African American community was strategically created in 1912, when the city council passed its first residential segregation ordinance. This research uses oral histories and other documents to reveal the survival techniques that enabled East Washington residents to endure the turmoil of Jim Crow racial segregation from the community’s 1912 inception, through urban renewal, integration, white flight, and the return of African Americans in the 1980s that resulted in their population majority. First, it identifies the people who chose to migrate to this area, where they came from and what enticed them to settle in East Point. Second, it discusses the network of institutions that they built and depended upon, including businesses, schools and churches, in order to maintain their largely autonomous community. Finally, it demonstrates the methods East Washington citizens employed to build a community that educated, protected, and nurtured children who became elected city officials, fire chiefs, professors, attorneys, physicians, teachers, dentists, human rights activists, and productive citizens of society.

Published Article / Several forecasting models are available for research in predicting the shape of electric load curves. The development of Artificial Intelligence (AI), especially Artificial Neural Networks (ANN), can be applied to model short term load forecasting. Because of their input-output mapping ability, ANN's are well-suited for load forecasting applications. ANN's have been used extensively as time series predictors; these can include feed-forward networks that make use of a sliding window over the input data sequence. Using a combination of a time series and a neural network prediction method, the past events of the load data can be explored and used to train a neural network to predict the next load point. In this study, an investigation into the use of ANN's for short term load forecasting for Bloemfontein, Free State has been conducted with the MATLAB Neural Network Toolbox where ANN capabilities in load forecasting, with the use of only load history as input values, are demonstrated.

Permeability is an important property of a porous medium and it controls the flow of fluid through the medium. Particle characteristics are known to affect the value of the permeability. However, experimental investigation of the effects of these particle characteristics on the value of permeability is time-consuming while analytical predictions have been reported to overestimate it leading to inefficient design. To overcome these challenges, there is the need for the development of new models that can predict permeability based on input variables and process conditions. In this research, data from experiments, Computational Fluid Dynamics (CFD) and literature were employed to develop new models using Multivariate Regression (MVR) and Artificial Neural Networks (ANNs). Experimental measurements of permeability were performed using high and low shear separation processes. Particles of talc, calcium carbonate and titanium dioxide (P25) were used in order to study porous media with different particle characteristics and feed concentrations. The effects of particle characteristics and initial stages of filtration as well as the reliability of filtration techniques (constant pressure filtration, CPF and constant rate filtration, CRF) were investigated. CFD simulations were also performed of porous media for different particle characteristics to generate additional data. The regression and ANN models also included permeability data taken from reliable literature sources. Particle cluster formation was only found in P25 leading to an increase of permeability especially in sedimentation. The constant rate filtration technique was found more suitable for permeability measurement than constant pressure. Analyses of data from the experiments, CFD and correlation showed that Sauter mean diameter (ranging from 0.2 to 168 μm), the fines ratio (x50/x10), particle shape (following Heywood s approach), and voidage of the porous medium (ranging from 98.5 to 37.2%) were the significant parameters for permeability prediction. Using these four parameters as inputs, performance of models based on linear and nonlinear MVR as well as ANN were investigated together with the existing analytical models (Kozeny-Carman, K-C and Happel-Brenner, H-B). The coefficient of correlation (R2), root mean square error (RMSE) and average absolute error (AAE) were used as performance criteria for the models. The K-C and H-B are two-variable models (Sauter mean diameter and voidage) and two variables ANN and MVR showed better predictive performance. Furthermore, four-variable (Sauter mean diameter, the x50/x10, particle shape, and voidage) models developed from the MVR and ANN exhibit excellent performance. The AAE was found with K-C and H-B models to be 35 and 40%, respectively while the results of using ANN2 model reduced the AAE to 14%. The ANN4 model further decreased the AAE to approximately 9% compared to the measured results. The main reason for this reduced error was the addition of a shape coefficient and particle spread (fine ratio) in the ANN4 model. These two parameters are absent in the analytical relations, such as K-C and H-B models. Furthermore, it was found that using the ANN4 (4-5-1) model led to increase in the R2 value from 0.90 to 0.99 and significant decrease in the RMSE value from 0.121 to 0.054. Finally, the investigations and findings of this work demonstrate that relationships between permeability and the particle characteristics of the porous medium are highly nonlinear and complex. The new models possess the capability to predict the permeability of porous media more accurately owing to the incorporation of additional particle characteristics that are missing in the existing models.

The performance of the Integrated Urban Wastewater Systems (IUWS) including: sewer system, WWTP and river, in both operational control and design, under unavoidable future climate change and urbanisation is a concern for water engineers which still needs to be improved. Additionally, with regard to the recent attention around the world to the environment, the quality of water, as the main component of that, has received significant attention as it can have impacts on health of human life, aquatic life and so on. Hence, the necessity of improving systems performance under the future changes to maintain the quality of water is observed. The research presented in this thesis describes the development of risk-based and non-risk-based models to improve the operational control and design of the IUWS under future climate change and urbanisation aiming to maintain the quality of water in recipients. In this thesis, impacts of climate change and urbanisation on the IUWS performance in terms of the receiving water quality was investigated. In the line with this, different indicators of climate change and urbanisation were selected for evaluation. Also the performance of the IUWS under future climate change and urbanisation was improved by development of a novel non-risk-based operational control and design models aiming to maintain the quality of water in the river to meet the water quality standards in the recipient. This is initiated by applying a scenario-based approach to describe the possible features of future climate change and /or urbanisation. Additionally the performance of the IUWS under future climate change and urbanisation was improved by development of a novel risk-based operational control and design models to reduce the risk of water quality failures to maintain the health of aquatic life. This is initiated by considering the uncertainties involved with the urbanisation parameters considered. The risk concept is applied to estimate the risk of water quality breaches for the aquatic life. Also due to the complexity and time-demanding nature of the IUWS simulation models (which are called about the optimisation process), there is the concern about excessive running times in this study. The novel “MOGA-ANNβ” algorithm was developed for the optimisation process throughout the thesis to speed it up while preserving the accuracy. The meta-model developed was tested and its performance was evaluated. In this study, the results obtained from the impact analysis of the future climate change and urbanisation (on the performance of the IUWS) showed that the future conditions have potential to influence the performance of the IUWS in both quality and quantity of water. In line with this, selecting proper future conditions’ parameters is important for the system impact analysis. Also the observations demonstrated that the system improvement is required under future conditions. In line with this, the results showed that both risk-based and non-risk-based operational control optimisation of the IUWS in isolation is not good enough to cope with the future conditions and therefore the IUWS design optimisation was carried out to improve the system performance. The riskbased design improvement of the IUWS in this study showed a better potential than the non-risk-based design improvement to meet all the water quality criteria considered in this study.

“Judging the Rational and the Dead: Ann Radcliffe and Feminist Theology” argues Radcliffe’s first three novels, The Castles of Athlin and Dunbayne (1789), A Sicilian Romance (1790), and The Romance of the Forest (1791), show a progression of feminist theology informed by the late eighteenth-century British religious movement of Rational Dissent. The thesis attempts to complicate and extend Radcliffe scholarship by moving away from fractured critical discourses and into more cohesive readings of Radcliffe that include feminist and theological interpretations of her work. Of particular interest to the project are Radcliffe’s views on the circumscribed nature of women’s existence within British notions of church and state. The thesis does more than attempt to note Radcliffe’s objections to the circumscribed nature of women in British society; it also seeks to explore the potential solutions offered by a feminist theology that rejects establishment religious hierarchies in favor of a more Unitarian system.

in English The aim of this MA thesis is to bring new perspectives on the genre of the African-American slave narrative. Therefore, its wider historical, socio-political and gender contexts are considered and the circumstances surrounding its development and current criticism are briefly outlined. The point of departure is a discussion of definitions that vary among the scholars who select different criteria for the subject of definition. The existing diversity of the texts and voices is discussed in connection to Moses Grandy's Narrative of the Life of Moses Grandy, Late a Slave in the United States of America. Grandy's narrative, an account of the maritime slave life, is analyzed. Its traditional, uniform narrative structures are juxtaposed with passages where some aspects of his masculine identity, problematized by the institution of slavery, can be traced. Ultimately, the thesis attempts to show that while the conventionalized framework pre-defining the narrative outline and themes is delineated by James Olney, any generally recognized definition of the genre does not exist. As a result of that conclusion, the genre is defined in the scope of this thesis. After the major characteristics of the genre are discussed and the definition of the African- American slave narrative is put forward, more...