We have chosen to focus on the meaning of long-term income support dependency regarding health, goal setting and motivation for the recipient of economical aid. We have chosen to use semi structurized interviews to achieve our goal of reaching the clients experience of long-term income support dependency. The study consists of interviews of six clients whose answers have been analyzed through appliance of Kielhofner´s Model of human occupation, Scheff´s Shame in self and society.   Our results show regarding, 1) the factor health that long-term income support dependency may elevate the risk of illness and less experienced options of possibilities to act. 2) regarding the factor goal setting, that goals may be inefficiently used during social work with long-term income support dependent clients and may result in a disorganized relationship between client and social worker in the sense of making the parties pull in opposite direction. 3) regarding the factor motivation, that long-term income support dependency and the living with the emotion of shame elevates the risk of maintaining a negative image of oneself that limits the willpower to assimilate new knowledge and/or skills.

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 starting point of this study is theories of European integration, which are used to formulate different scenarios about the future of the European Union. This is made in regards to the eurocrisis which has intensified the discussion about how to change the construction of the euro to overcome the economic difficulties that has arisen. In this study, four different scenarios are presented: "An updated Europe", "A new Europe", "The death of the euro" and "Goodbye Greece". The first two scenarios takes its starting point in the neofunctionalist theory of European integration and describes how the EU might increase its level of integration in different ways. We can either see a development where the EU tries to improve the implementation of the rules that are meant to coordinate the member states? economic policy, or we might encounter a more advanced integration where fiscal policy competences are transferred to the EU-level.The latter scenarios, however, takes another theory in to account, liberal intergovernmentalism, and describes how the eurozone might be fragmented in different ways due to conflicts of interest between lenders and countries that has to receive loan-packages.

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 release of Maja Lundgrens Myggor och tigrar in 2007 caused a large debate that mostly focused on whether the book should be seen as a true reproduction of reality or a work of fiction and if the author had made the right choice in writing about friends, family and famous Swedish persons in her book. About one year later Lars Norén published En dramatikers dagbok in which he also shares details about other people´s lives and, by placing the book in the genre of a diary, claims that it represents reality. The critics were easier on him, and more positive over all in their judgment of En dramatikers dagbok, and many were upset about how different the two authors and their books were received. Tofind out why controversial works are apprehended as controversial I have chosen to analyze Maja Lundgrens Myggor och Tigrar and Lars Noréns En dramatikers dagbok, independent of, as well as compared to, each other. While leaning on reception theory andtheories about different ways of reading as well as the autobiography as a genre I have asked myself the following questions:Which factors have led critics as well as the public opinion to speak about Maja Lundgrens Myggor och tigrar and Lars Noréns En dramatikers dagbok as controversial?What do the two books have in common and what separates them?How does the debate differ regarding the two books and what is the cause for that difference in reception?My essay shows that when reading an autobiography or a diary most people cannot separate the book from the author and the life that the book is a reflection of.

Today most people are in agreement that the media industry is in crisis. Many newsrooms cut down on staff. At the same time the PR industry is growing. We wanted to research if this could affect the unbiased and independent news in our news media today. Today's newsrooms receive a lot of press releases every day.

I have together with Frimeko AB developed new hallway furniture for preschools. The background to the project is the fact that all the existing hallway furniture?s on the market today have a similar design and same features. None of the furniture stands out immediately. Companies who work with school furniture in general have been inspired by each other, and therefore is the collections monotonous.

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.