The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

Introduction The genetic skin disease epidermolytic ichtyosis is caused by mutations in either keratin gene 1 or 10 and leads to blisters and hyperkeratosis of the epidermis. At cellular level the disease is seen as aggregates in the keratin filaments. Since medicines are hard to investigate and produce mainly due to lack of reproducible model systems, there is no good treatment available for this disease today. In this article we describe how an in vitro model consisting of cells from a stable cell line transfected with expression plasmids to mimic patient cells, may be a possible alternative for screening compounds for therapies. The first step was to generate an expression plasmid required to complete the in vitro model.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

This report was written as a result of a Bachelor Degree Project at the School of Technology and Society at University of Skövde spring 2007, together with Jede AB in Mariestad. The report covers the development of a door to a coffee vending machine that is under construction, and will in a chronological order describe the project from ideas to final product.The project started with a rather extensive feasibility study that thru market research and user tests sorted out the opinions of potential customers, concerning today?s available assortment. Technical areas concerning materials and manufacturing methods were also scrutinized for the consideration of the possibilities of a future production.The next step was to constructively generate ideas and thoughts that later on could grow to be potential solutions. After several weeks of hard work and pieces of good advice and recommendations from the assigner, four comprehensive concepts were built up.

This thesis primarily includes a study on whether companies can develop a mathematical activity that supports students' motivation in mathematics. The work was done together with Midroc Electro, a company that pays attention to the difficulty of recruiting and therefore was interested in investigating how the business world would be able to contribute.The thesis can be divided into three stages. The first part comprised by a exploration into research on student motivation regarding mathematics as well as numerous interviews with engineers to see how the research findings did fit with Midroc Electros reality. In these studies it became clear that the student who aims for a profession whose education or work requires math belongs to the group of students who primarily manage their studies in mathematics, that is, those that have the greatest motivation to work hard and complete their studies.Research information and interviews were compared and resulted in the thesis second part, Midroc Challenge. An activity where students primarily came to learn about the engineering profession and secondly how mathematics can be used in the engineering profession.

BackgroundThe lifeworld describes the experience of being a humanbeing, how we experience life and how we live our lifes. When a disease, such as depression occurs, the whole lifeworld can be filled with suffering. Depression is an affective disease, which means it involves the emotions. The patient gets dejected and the emotional devotion abates. Broken sleep, anxiety, pain, concentrations difficulties, fatigue and reduced appetite is some of the symptoms.

The purpose of this thesis is to collect knowledge of techniques and materials for planning roofgardens. Gardens built on top of buildings is not a new phenomenon, already in the beginning of the century architects were experimenting with roofgardens. During the Modern Era roofgardens appeared as a part of the design and worked well together with flat roofs and the ideas of light, air and greenery. Today the most common kind of roofgarden is on a ground-level joist that hides parking or other underground functions. The most important difference between planning a roofgarden and a garden on the ground is the limitation of the load of the roofgarden. Plants, paving-material and equipment must be chosen with this in mind. A light and thin layer of soil demands plants with small needs for water and nutrition.

Forest as an investment alternative has become more and more popular over the last few years. Between the years 2004 and 2007 increased the price level on forest land with 70 percent in Jämtland. In this thesis a comparison has been conducted between forest in Jämtland and an investment in the stock market. The risk in the two investment alternatives has been included in the comparison. The thesis includes two different studies between the two alternatives.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.