The main purpose of this study is to analyse how the main themes of alienation and the search for identity is portrayed by Swedish author Inger Edelfeldt. I have applied the theories of Rita Felski concerning feminist novels of self-discovery, in which the development of the female identity is the main question. As Edelfeldt’s writing consists of literature for the young as well as adults, I have included material from both of these genres. I have also taken use of Ulla Lundqvists theories about Swedish juvenile books when examining aspects of the main character’s feelings of alienation and identity searching. The results of my analysis show that the reading of my material as feminist novels of self-discovery has revealed pervading charachteristics of alienation, love, friendship and psychological development. The genre-crossing tendency of Edelfeldt’s writing shows in that the theme of identity crisis and the search for identity is an important issue in all of her novels, despite the protagonist’s age. Finally, I show in my study, that by rejecting the heterosexual love-story narrative, Edelfeldts novels put the woman’s own psychological development in focus.

This paper seeks to fill a gap in the literature regarding the consequences of banning ‘naked’ Credit Default Swaps (CDS). In particular, I use the European Union’s Ban on ‘naked” Sovereign CDS as an event study to evaluate the impact that banning such derivative products has on the price discovery process in the credit markets. Using both Granger Causality tests and a Vector Error Correction Model, I find that before November 1, 2012, CDS are the clear price leader in the credit markets. However, since the official date the regulation was put into effect, CDS’ price leadership was eroded. Moreover, after the ban, CDS and Bond Yield Spreads are no longer cointegrated in the long run, suggesting that different pricing mechanisms now exist between the two securities

Intelligent Transportation Systems (ITS) are gaining momentum among researchers. ITS encompasses several technologies, including wireless communications, sensor networks, data and voice communication, real-time driving assistant systems, etc. These states of the art technologies are expected to pave the way for a plethora of vehicular network applications. In fact, recently we have witnessed a growing interest in Vehicular Networks from both the research community and industry. Several potential applications of Vehicular Networks are envisioned such as road safety and security, traffic monitoring and driving comfort, just to mention a few. It is critical that the existence of convenience or driving comfort services do not negatively affect the performance of safety services. In essence, the dissemination of safety services or the discovery of convenience applications requires the communication among service providers and service requesters through constrained bandwidth resources. Therefore, service discovery techniques for vehicular networks must efficiently use the available common resources. In this thesis, we focus on the design of bandwidth-efficient and scalable service discovery protocols for Vehicular Networks. Three types of service discovery architectures are introduced: infrastructure-less, infrastructure-based, and hybrid architectures. Our proposed algorithms are network layer based where service discovery messages are integrated into the routing messages for a lightweight discovery. Moreover, our protocols use the channel diversity for efficient service discovery. We describe our algorithms and discuss their implementation. Finally, we present the main results of the extensive set of simulation experiments that have been used in order to evaluate their performance.

This thesis is about protein profiling in blood-derived samples using suspension bead ar- rays built with protein affinity reagents, and the evaluation of binding characteristics and potential disease relation of such profiles. A central aim of the presented work was to discover and verify disease associated protein profiles in blood-derived samples such as serum or plasma. This was based on immobiliz- ing antigens or antibodies on color-coded beads for a multiplexed analysis. This concept generally allow for a dual multiplexing because hundreds of samples can be screened for hundreds of proteins in a miniaturized and parallelized fashion. At first, protein antigens were used to study humoral immune responses in cattle suffering from a mycoplasma infec- tion (Paper I). Here, the most immunogenic of the applied antigens were identified based on reactivity profiles from the infected cattle, and were combined into an antigen cocktail to serve as a diagnostic assay in a standard ELISA set-up. Next, antibodies and their em- ployment in assays with directly labeled human samples was initiated. This procedure was applied in a study of kidney disorders where screening of plasma resulted in the discovery of a biomarker candidate, fibulin-1 (Paper II). In parallel to the disease related applica- tions, systematic evaluations of the protein profiles were conducted. Protein profiles from 2,300 antibodies were classified on the bases of binding properties in relation to sample heating and stringent washing (Paper III). With a particular focus on heat dependent de- tectability, a method was developed to visualize those proteins that were captured to the beads in an immunoassay by using Western blotting (Paper IV). In conclusion, this thesis presents examples of the possibilities of comparative plasma profiling enabled by protein bead arrays. / <p>QC 20130208</p>

Proteins are essential building blocks in every living cell, and since the complete human genome was sequenced in 2004, researchers have attempted to map the human proteome, which is the functional representation of the genome. One such initiative is the Human Protein Atlas programme (HPA), which generates monospecific antibodies towards all human proteins and uses these for high-throughput tissue profiling on tissue microarrays (TMAs). The results are publically available at the website www.proteinatlas.org. In this thesis, TMAs were used for analysis of expression patterns in various research areas. Different search queries in the HPA were tested and evaluated, and a number of potential biomarkers were identified, e.g. proteins exclusively expressed in islets of Langerhans, but not in exocrine glandular cells or other abdominal organs close to pancreas. The identified candidates were further analyzed on TMAs with pancreatic tissues from normal and diabetic individuals, and colocalization studies with insulin and glucagon revealed that several of the investigated proteins (DGCR2, GBF1, GPR44 and SerpinB10) appeared to be beta cell specific. Moreover, a set of proteins differentially expressed in lung cancer stroma was further analyzed on a clinical lung cancer cohort in the TMA format, and one protein (CD99) was significantly associated with survival. In addition, TMAs with tissue samples from different species were generated, e.g. for mapping of influenza virus attachment in various human and avian tissues. The results showed that the gull influenza virus H16N3 attached to human respiratory tract and eye, suggesting possible transmission of the virus between gull and human. TMAs were also used for analysis of protein expression differences between humans and other primates, and two proteins (TCF3 and SATB2) proved to be significantly differentially expressed on the human lineage at both the protein level and the RNA level.   In conclusion, this thesis exemplifies the potential of the TMA technology, which can be used for analysis of expression patterns in a large variety of research fields, such as biomarker discovery, influenza virus research or further understanding of human evolution.

The International market of crude oil and natural gas is well established and very competitive. Knowledge about costs is important in helping to understand the current position of producers within the industry. In the eyes of the producers, the lower the costs the more profitable they will become given the price of crude. This thesis focuses on an economic analysis of crude oil exploration in Saskatchewan and Alberta. In a competitive market, the producers require estimates of finding costs in both regions. The public policies that are designed to encourage crude exploration also rely heavily on reliable estimates of these costs. The results show that Saskatchewans per-unit finding cost is significantly lower than Albertas in spite of the geological differences between the two provinces. The finding costs are estimated by using a methodology (Uhler 1979) that has been widely accepted within economic literature of non-renewable resources. The results support the hypothesis that finding costs in both regions are increasing and the argument that these costs will converge in the long-run, except for the last six years of the analysis.

In a firm level matched sample of 499 firms we examine the information flow between stocks and the credit default swap (CDSs) over a period of January 2004 to December 2008. Our study confirms the general findings of previous studies that the information generally flows from equity market to CDS market. However, for a much smaller number of firms we also find that information also flows from the CDS to its stock. A major advantage of our sample period is that it allows us to examine the information flow before and during the crisis. This paper makes two contributions. We document that the firms for which the information flows from the CDS to its stock increases by almost tenfold during the crisis. The current crisis is often referred as a credit crisis, so this finding is consistent with what is expected of CDSs. The major contribution of this paper is that it identifies the firm specific factors that influence the information flow across the two markets. We show that characteristics such as asset size, profitability, and industry, amongst others, play an important role in determining information flow.

Biological data is accumulated at a fast pace. However, raw data are generally difficult to understand and not useful unless we unlock the information hidden in the data. Knowledge/information can be extracted as the patterns or features buried within the data. Thus data mining, aims at uncovering underlying rules, relationships, and patterns in data, has emerged as one of the most exciting fields in computational science. In this dissertation, we develop efficient approaches to the structure pattern analysis of RNA and protein three dimensional structures. The major techniques used in this work include term rewriting and clustering algorithms. Firstly, a new approach is designed to study the interaction of RNA secondary structures motifs using the concept of term rewriting. Secondly, an improved K-means clustering algorithm is proposed to estimate the number of clusters in data. A new distance descriptor is introduced for the appropriate representation of three dimensional structure segments of RNA and protein three dimensional structures. The experimental results show the improvements in the determination of the number of clusters in data, evaluation of RNA structure similarity, RNA structure database search, and better understanding of the protein sequence-structure correspondence.

Kasimir Fajans und Oswald Göhring entdeckten 1913 das von ihnen Brevium (Bv) genannte Element 91 als kurzlebiges Protactiniumisotop 234mPa in unmittelbarer Folge des von Alexander S. Russell, Frederick Soddy und Fajans entdeckten radioaktiven Verschiebungsgesetzes, nachdem das als UX bezeichnete thoriumähnliche Tochterprodukt des Urans noch ein entsprechend der Voraussage von Dimitri Mendeleev tantalähnliches unbekanntes Radioelement enthalten muss. Auf der Suche nach dem langlebigen Mutterkörper des Actiniums fanden Otto Hahn und Lise Meitner 1918 das langlebige Isotop des Breviums (231Pa), das sie Protactinium nannten. Obgleich sie es als Isotop des Breviums bezeichneten, wurden sie in der Folgezeit nicht nur als Namensgeber; sondern meist auch als Entdecker des Elementes Nr. 91 genannt. / In 1913 Kasimir Fajans and Oswald Göhring discovered the element number 91as its short-lived isotope 234mPa. They named it brevium (Bv). The discovery was the result of the displacement law discovered by Alexander Smith Russell, Frederick Soddy and Fajans. According to this law and the periodic system of Dimitri Mendeleev the daughter of uranium UX must contain an unknown radioelement chemical similar to tantalum. In 1918 during the search of the mother of actinium Otto Hahn and Lise Meitner found the long-lived Isotope of Brevium (231Pa), which they designated as protactinium. Later often is written, that Hahn and Meitner have non-only given the name but also discovered the element number 91

Small signal stability has always been an important concern for analog designers. Recent advances such as the Loop Finder algorithm allows designers to detect and identify local, potentially unstable return loops without the need to identify and add breakpoints. However, this method suffers from extremely high time and memory complexity and thus cannot be scaled to very large analog circuits. In this research work, we first take an in-depth look at the loop finder algorithm so as to identify certain key enhancements that can be made to overcome these shortcomings. We next propose pole discovery and impedance computation methods that address these shortcomings by exploring only a certain region of interest in the s-plane. The reduced time and memory complexity obtained via the new methodology allows us to extend automatic stability checking to much larger circuits than was previously possible.