The main purpose of this essay is to examine if it is possible to identify farms of ?forest Finnish? people in Sweden, by means of an archaeological analysis, comparing the forest Finnish settlement with known none-forest Finnish settlements. This study is based on material excavated from the farms of Grannäs, and Råsjö, in the Swedish provinces of Jämtland and Medelpad. Both farms are dated to the 17th and 18th century. The study itself is divided into three parts, firstly a general study to get an overview of the material, secondly a study of ceramics as an attempt to discern social status and lastly a study of the animal bone material for analyzing the forest Finns? livestock and possible hunting habits.

The purpose of this study was to investigate whether cannabis use can affect cognitive functions. The method that was chosen to answer the purpose of the study was a general literature review. Article search occurred in the databases PsycINFO and PubMed. Nine articles were selected based on the study?s inclusion criteria.

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.

AbstractIn 2013, the diagnosis of Asperger?s syndrome will be eliminated as a stand-alone diagnosis, to be subsumed into the existing diagnosis of Autism Spectrum Disorder. In this paper, a study with the objective of emphasizing current opinions regarding the change in diagnosis is performed. Another objective is to examine the connection between identity and diagnosis. The study therefore targets people with a diagnosis, in this case Asperger?s syndrome.The empirical material of the study has been collected through a quantitative web-based survey.

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.

Purpose: The main purpose of this study is to study the 45 funds, divided into three differentdivisions, then the result will provide a greater understanding of how returns change with ahigher risk.Methodology: The study is based on a quantitative approach. The survey was conducted bygathering raw data from databases and secondary data from literature, printed and electronicsources.Theoretical perspectives: The study is based on the theory: the efficient markethypothesis, which argues that future returns can not be calculated as the market is fullyinformed. The study is therefore studying historical yields.Empirical foundation: Empirical data are acquired from www.morningstar.se, andtherefore also treated on this page. The material is then divided into documents and time axes.Conclusions: The study has shown that high-risk funds give a higher percentage returns thanmedium-and low-risk funds. However, does not imply a higher risk automatically earn ahigher return when the low-risk funds have shown a higher yield than medium-risk funds.

AbstractThis study focuses on three generations of Kurdish women's view on honor. The study is a qualitative research based on three individual interviews. The aim of this study is to examine how three generations of immigrant women from a culture of honor is influenced over time by the majority culture and its values together with how these women affect each other mutually both consciously and unconsciously within the family. The study is based on two questions: What does"honor" mean to the three generations of women who are Muslim and Kurdish? Did these three generations of women?s idea of honor change over time as they have lived in Sweden? Results of this study have shown that the concept of honor has its focus on the woman's body, sexuality and chastity.

AbstractThis study focuses on three generations of Kurdish women's view on honor. The study is a qualitative research based on three individual interviews. The aim of this study is to examine how three generations of immigrant women from a culture of honor is influenced over time by the majority culture and its values together with how these women affect each other mutually both consciously and unconsciously within the family. The study is based on two questions: What does"honor" mean to the three generations of women who are Muslim and Kurdish? Did these three generations of women?s idea of honor change over time as they have lived in Sweden? Results of this study have shown that the concept of honor has its focus on the woman's body, sexuality and chastity.

 The english name of this essay is ?One man among many women?. This essay takes its starting point in the situation today with few male teachers in the earlier years of elementary school. I have decided to look at the small group of males that actually started the education to become teachers and why they did it when the profession as teacher today is low-paid, low status and is a profession with a large dominance of female teachers. I have chosen to write about this because of the importance for the children to meet both men and women as teachers in the early schoolyears.

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.