In this thesis I have done a discourse analysis of the documentary movie A Jihad for Love. A Jihad for Love came out 2007 and is directed by Parvez Sharma. The documentary movie is about homosexual Muslims and their jihad, struggle, for love and to be accepted in a world where they are barely recognized as a group. My aim of the thesis was to see how the movie portrays the persons who are in the film and their relationship to Islam and who gets access to the religion. I have also analyzed if Islam can be used to strengthen the sexual identity or if it works in the opposite way. I have used the theoretical instrument of intersectionality and religious proximity with a gender perspective with focus on sexuality and religion to analyze my material. My conclusions of the thesis are that the men in the movie are often more portrayed as active subjects that can use the religion as a tool to strengthen the sexuality. The women are more portrayed as inactive objects that cannot use the religion to strengthen their sexual identity because of different power axes, like gender and sexuality, which collide and with each other. Another conclusion is that men have a higher grade of religious proximity which makes them closer to God, whereas the women traditionally don’t have the same closeness to God and cannot therefore have the same power in the religious hierarchy.

Improved methods are needed to interrogate the genome and the proteome. Methods with high selectivity, wide dynamic range, and excellent precision, capable of simultaneously analyzing many biomolecules are required to decipher cellular function. This thesis describes a molecular and microfluidic toolbox designed with those criteria in mind. It also presents a tool for graphical representation of nucleic acid sequences. Proximity ligation is a novel protein detection method that requires dual and proximate binding of two oligonucleotide-tagged affinity reagents to a protein or protein complex in order to elicit a signal. The responses from such recognition reactions are the formation of specific nucleic acid reporter molecules that are subsequently amplified and quantitatively detected. A scalable microfluidic platform suitable for fluorescence detection, cell culture, and actuation is also described. The platform uses rapid injection molding to produce microstructures in thermoplastic materials. By applying a thin layer of silica to the structures, a lid made of silicone rubber coated onto a thermoplastic support can be covalently bonded to generate enclosed channels. A method is presented for precise biomolecule counting, termed “amplified single-molecule detection”. The method preserves the discrete nature of biomolecules, converting specific molecular recognition events to fluorescence-labeled micrometer-sized objects that are enumerated in microfluidic channels. I also present a novel microarray-based detection method. To attain high selectivity and a wide dynamic range, the method is based on dual recognition with enzymatic discrimination and amplification. Upon target recognition in solution, DNA probes are subjected to thousand-fold amplification in solution, followed by selective detection on arrays and another hundred-fold amplification of reporter molecule created from the first amplification reaction. Lastly, I describe a novel graphical representation of nucleic acid sequences using TrueType fonts that can be of value for visual inspection of DNA sequences and for teaching purposes

For many applications of location-based services, such as friend finding, buddy tracking,information sharing and cooperative caching in ad hoc networks, it is often important to be able to identify whether the positions of a given set of moving objects are within close proximity. To compute these kinds of proximity relations among large populations of moving objects, continuously available location position information of these objects must be correlated against each other to identify whether a given set of objects are in the specified proximity relation. In this dissertation, we state this problem, referring to it as the location constraint matching problem, both in the Euclidean space and the road network space. In the Euclidean space, we present an adaptive solution to this problem for various environments. We also study the position uncertainty associated with the constraint matching. For the road network space, where the object can only move along the edges of the road network, we propose an efficient algorithm based on graph partitioning, which dramatically restricts the search space and enhances performance. Our approaches reduce the constraint processing time by 80% for Euclidean space and by 90% for road network space respectively. The logical combination of individual constraints with conjunction, disjunction and negation results in more expressive constraint expressions than are possible based on single constraints. We model constraint expressions with Binary Decision Diagrams (BDD). Furthermore, we exploit the shared execution of constraint combinations based on the BDD modeling. All the algorithms for various aspects of the constraint processing are integrated in the research prototype L-ToPSS (Location-based Toronto Publish/Subscribe System). Through experimental study and the development of an analytical model, we show that the proposed solution scales to large numbers of constraints and large numbers of moving objects.

Clusters are spatial agglomerations of firms in related industries. Although industry clusters have existed for centuries, the cluster concept has only recently been formulated in economic terms and has begun to attract considerable interest from scholars and policymakers over the last 20 years. A vast literature has examined all kinds of clusters and how clustering relates to innovation, growth, and other forms of economic performance of firms and regions. The cluster concept has provided a framework for thousands of national, regional, and local initiatives around the world. Yet, both research and policy efforts have yielded varying and sometimes contradictory results. This dissertation revisits some of the most basic questions about clusters. Using an approach that treats agglomeration and proximity effects as separate but related phenomena, it examines three fundamental aspects of clusters. First, it proposes a way to measure agglomeration more accurately and presents more detailed data on clusters in Europe than have previously been available. Second, it analyses the benefits of clusters for new firms and for regions. Third, it examines how clusters are “organised” through cluster initiatives. The results presented here carry implications for the study of clusters in economic geography, strategic management, and cluster policy research. They also contribute to our knowledge of cluster organisations and are of interest to both policymakers and cluster practitioners. Göran Lindqvist is a researcher at the Center for Strategy and Competitiveness at the Stockholm School of Economics. He has published books and articles about clusters and cluster policy, and he has conducted numerous cluster-related projects for international and national public agencies in Europe and the USA. www.sse.edu/csc / <p>Diss. Stockholm : Handelshögskolan, 2009 Sammanfattning jämte 7 uppsatser</p>

Distributed directory services are an evolving paradigm in the distributed computing arena. They are a shift from the centralized directory that causes delay and does not scale well to widespread peer-to-peer networks. With networking becoming more pervasive, there is a need to integrate the heterogeneity of device, data and network with the applications that are built on them. SyD or System on Mobile Devices is a middleware that is being used to implement such a distributed directory service. To provide a persistent global view of data, we serialize and synchronize the distributed directories. The SyD APIs provide a high-level environment to rapidly develop collaborative applications for such networks in a systematic manner. An intervehicle communication application that notifies the driver of a vehicle of the available parking spots in the vicinity, allows us to see the practical working and benefits of the distributed directory paradigm.

For many applications of location-based services, such as friend finding, buddy tracking,information sharing and cooperative caching in ad hoc networks, it is often important to be able to identify whether the positions of a given set of moving objects are within close proximity. To compute these kinds of proximity relations among large populations of moving objects, continuously available location position information of these objects must be correlated against each other to identify whether a given set of objects are in the specified proximity relation. In this dissertation, we state this problem, referring to it as the location constraint matching problem, both in the Euclidean space and the road network space. In the Euclidean space, we present an adaptive solution to this problem for various environments. We also study the position uncertainty associated with the constraint matching. For the road network space, where the object can only move along the edges of the road network, we propose an efficient algorithm based on graph partitioning, which dramatically restricts the search space and enhances performance. Our approaches reduce the constraint processing time by 80% for Euclidean space and by 90% for road network space respectively. The logical combination of individual constraints with conjunction, disjunction and negation results in more expressive constraint expressions than are possible based on single constraints. We model constraint expressions with Binary Decision Diagrams (BDD). Furthermore, we exploit the shared execution of constraint combinations based on the BDD modeling. All the algorithms for various aspects of the constraint processing are integrated in the research prototype L-ToPSS (Location-based Toronto Publish/Subscribe System). Through experimental study and the development of an analytical model, we show that the proposed solution scales to large numbers of constraints and large numbers of moving objects.

The aim of this study is to investigate where and why the fitness clubs, Sats and Friskis &amp; Svettis in Stockholms county, choose to locate their facilities in certain places and which their primarily targetgroups are. Furthermore, the aim is to gain knowledge of people’s health status in areas where the facilities are located, in order to see if they are located where exercise is most needed. Interviews were conducted with members of the fitness clubs but also with non members, i.e. people who lived in areas with an absence of fitness facilities. Further interviews have been made with managers of the fitness clubs and with two political representatives. The other methods were mapping of the facilities inrelationship to different variables in ArcGIS and field observations. The results of this study show thatthe facilities are mostly located in the central of Stockholm and places where income levels,population density and amount of people working in an area are high. The facilities can also be foundwhere there are large flows of people, for example near commercial centers such as shopping malls.The fitness clubs do not primarily focus on establishing any facilities in places where exercise is mostneeded. The target groups for Friskis &amp; Svettis were both younger and older people and those who wanted to pay a low membership fee while Sats target groups were people aged between 20-50 years and were willing to pay a high price for a membership. Based on price for a membership, availability and what the clubs offers, some people may get excluded from Sats and Friskis &amp; Svettis. Those people mostly live in low status areas and if they eventually would become members of the clubs it would require cheap prices, culture-specific exercise forms and better proximity between the residenceand the facility. Finally, since both the fitness clubs and the political representative’s claims that people everywhere should have the possibility to exercise regardless of their income level and so on, there should be a better interaction between all the actors in order for the clubs to be available to allthe people.

A comprehensive understanding of how the body and all its components function is essential when this knowledge is exploited for medical purposes. The achievements in biological and medical research during last decades has provided us with the complete human genome and identified signaling pathways that governs the cellular processes that facilitates the development and maintenance of higher order organisms. This has brought about the realization that diseases such as cancer is a consequence of genomic aberrations that effects these signaling pathways, endowing cancer cells with the capacity to circumvent homeostasis by acquiring features like self-sustained proliferation and insensitivity to apoptosis. The increased understanding of biology and medicine has been made possible by the development of advanced methods to carry out biological and clinical analyses. The demands of a method often differ regarding in what context it will be applied. It may be acceptable for method to be laborious and time consuming if it is used in basic research, but for medical purposes molecular methods need to be fast and straightforward to perform. Innovative technologies should preferentially address the demands of both researchers and clinicians and provide data not possible to obtain by other methods. An example of such a method is the in situ proximity ligation assay (in situ PLA). In this thesis I have used this method to determine the activity status, at the single-cell level, of the transforming growth factor-β (TGF-β) signaling pathway and activating protein-1 (AP-1) family of transcription factors.  Both of these pathways are frequently involved in cancer development and progression. In addition to this research I herein also present further modifications of in situ PLA, and analyses thereof, to increase the utility and resolution of this assay.

The in situ proximity ligation assay (in situ PLA) is an immunoassay that enables directvisualisation of single protein targets or protein interactions in cell or tissue samples. This project revolves around designing and introducing several novel multiplexable components tobe used in conjunction with Olink Bioscience's Duolink product line. In this report, a novel in silico approach to DNA oligomer interaction design is presented. Using this in silico method, a multiplexed system of DNA oligomers has been designed andevaluated using in situ PLA and fluorescence microscopy.

The diagnosis of cancer today is obsolete, depending upon pattern recognition and non-quantifiable data. The time consuming diagnosis is often performed on biopsies, fixed using non standardised procedures, and leaves room for dubious results. The diagnosis is also invasive, exposing patients to risk of infections and discomfort due to the need of tissue samples. The knowledge about changes in protein expression levels related to cancer can instead be utilized to generate a new diagnostic tool. By adapting the in situ proximity ligation assay (in situ PLA) to cells in solution, it is possible to detect proteins, or protein interactions, within cells without the need for tissue samples. Since the method is both highly sensitive and specific, it delivers reliable results. In this report, the in situ PLA method for cells in solution is combined with flow cytometry readout. Hence, a new and less invasive diagnostic tool for cancer, delivering highly accurate high throughput single cell analysis, may be on the rise.