Introduction: This thesis is about how the accounting entry provisions are linked to corporate market value. By statistically examining accounting and share data for 56 companies listed on NASDAQ OMX Stockholm, the question of whether accounting information regarding provisions are value relevant for investors is studied. Listed companies shall follow the rules of IAS 37 ? Provisions, Contingent liabilities and Contingent assets, when preparing financial statements.Aim: The purpose of this thesis is to examine the relationship between reported information about provisions and investors assessment of listed companies that comply with IFRS-regulations, by statistically testing the value relevance of the accounting entry.Method: The study is based on a quantitative, deductive methodological approach. The value relevance of provisions is examined by statistically testing the collected empirical data based on the two models that is described in the reference frame.Results: The conclusion to be drawn from the study is that reported provisions have no statistically significant association with return on shares and thus is not value relevant.

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.

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.

It has now passed two years since the new site- and construction law, PBL, went into force. It replaced the previous PBL applicable since 1987, and it involves relatively large changes in many different areas of the construction sector. The ambitions of the new law are for instance to simplify and clarify the legal text, increase efficiency in the permitting processes and improve the quality of construction. To achieve this, a variety of changes was made. Some of the most important are: inserted deadline in the processing of building applications, extended assessment of building applications, revised rules about controlplan and quality manager, a certificate is required to start and end the project, an additional meeting is inserted and the construction management of the municipalities will have to do a mandatory visit at the work scene.

Introduction: The health for individuals with intellectual disabilities is asubject that is prioritized by the Swedish Institute for Public Health. Socialsupport has been proven to be important for health and quality of life. Despitethis fact there is no research available regarding the influence social support hason health and quality of life for people with intellectual disabilities in Sweden.Aim: To describe social support and the consequence of social support forhealth and quality of life for individuals with intellectual disabilities. Method:A litterature review of research in a defined area with a descriptive design.Systematic searches for articles were done in several databases and ultimately16 articles were chosen. Themes and categories were created with respect to theaim of this study during the analysis of the articles.

Introduction: The health for individuals with intellectual disabilities is asubject that is prioritized by the Swedish Institute for Public Health. Socialsupport has been proven to be important for health and quality of life. Despitethis fact there is no research available regarding the influence social support hason health and quality of life for people with intellectual disabilities in Sweden.Aim: To describe social support and the consequence of social support forhealth and quality of life for individuals with intellectual disabilities. Method:A litterature review of research in a defined area with a descriptive design.Systematic searches for articles were done in several databases and ultimately16 articles were chosen. Themes and categories were created with respect to theaim of this study during the analysis of the articles.

Introduction: The health for individuals with intellectual disabilities is asubject that is prioritized by the Swedish Institute for Public Health. Socialsupport has been proven to be important for health and quality of life. Despitethis fact there is no research available regarding the influence social support hason health and quality of life for people with intellectual disabilities in Sweden.Aim: To describe social support and the consequence of social support forhealth and quality of life for individuals with intellectual disabilities. Method:A litterature review of research in a defined area with a descriptive design.Systematic searches for articles were done in several databases and ultimately16 articles were chosen. Themes and categories were created with respect to theaim of this study during the analysis of the articles.

AbstractAimThe aim is that by using the curriculumcodes, analyze and compare four curriculums in physical education. The study begins in the elementary school Introduction in 1962, and then makes three more strikes in 1980, 1994 and 2011.The questions that are addressed in this paper are,Which expression of competence code can be found in the different curricular?What are the expressions for performance code can be found in the different curricula?Is there any change regarding which code teachers use when they assess the students?Method  As a basis, the four curricula Lgr 62 Lgr 80, Lpo 94 and Lgr 11 in physical education are used. These four curriculums are studied and compared for similarities and changes in the assessment uses comparative content analysis. A number of publications in the curriculum codes are used in the analysis of the curriculum.

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.