Children?s participation in their planning in health and social services is important. To make children?s needs more considered they need to be involved in the cision-making processes. Children have the ability to reflect.

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 master thesis is aiming to find out how school libraries work towards children in school years 1-6. The mainfocus is how the school librarians and teachers work with literature and reading. The theoretical viewpoints aremainly the sociocultural theory and the child perspective.The study was conducted with participants from five different schools in Uppsala, in the form of qualitativesemi-structured interviews. The results show that schools work with literature first and foremost in a pragmaticway, with reading-strategies and activating discussions. Very little time is spent on reading for its own sake.

The aim of this master?s thesis is to examine which ideas about the public library that appear in a selection of municipal library plans and to examine if these ideas are unanimous. The comprehensive questions are: Which ideas about the public library appear in each municipal library plan? How do the ideas agree in the different municipal library plans? The sub questions are: Which judgements of reality appear in the different library plans concerning each municipality and its library needs? How do the municipalities define the concept of development and future demands in the municipality on the basis of the judgements of reality? Which recommendations do the judgements of reality give and how is the plan of action that is established in each library plan justified? Which fundamental views of reality, i. e.

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 purpose of the study was from the perspective of young people that has completed a stay at HVB-home. The respondents are between 15-21 years both boys and girls. The basic questions were: How do the respondents look upon this HVB-homes service process? How do the respondents look upon this HVB-homes service contents? How do the respondents look upon this HVB-homes service regarding available information and how the staff is available? What positive and negative experience do they have from their stay at the HVB-home? We also wish to get a picture of what is important to change to improve the quality on this HVB-home. To receive answers to those questions we formed a questionnaire.

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 purpose of this Master thesis is to examine and describe dog breeders? information activities. Questions posed in this study are:? What are the information needs of dog breeders?? How does the dog breeder seek and use information?? How can the relationship between serious leisure and information activities be described?The theoretical framework consists of the sociologist Robert A Stebbins? theory about serious leisure. The study is based on a qualitative methodology.

Recent studies made by Margaritis and Psillaki,have shown that a lower debt ratio and higher efficiency are correlated in their studies performed oncompanies in New Zeeland. Other researchers have been able to show a connection between other industries than the one used in our studies,among these are Titman and Wessler. These studies have been done with a great selection of companies in different industries and time periods. However most of these researchers have used traditional ratios and variables.This study aims to find and analyze connections between returns and lower debt ratios in real estate companies listed on the Stockholm stock exchange. Instead of the traditional debt-equity ratio we will construct our own taking long term debts and property assets.

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.

English is an international and global language that students, regardless of mother tongue, encounter in their everyday lives. In Sweden, students are introduced to English teaching in year 1, 2 or 3, and in some cases, year 4. English teaching can sometimes be problematic when the language of instruction often consists of Swedish, which for second language students becomes a challenge to acquire new skills in a week language.The study aims to examine, with a qualitative study, how pedagogues plan and implements English teaching in first grade with students whose mother tongue are other than Swedish. Further, the aim was to examine how pedagogues say they relate to the fact that second language pupils participating in English lessons and if they think it affects their English teaching.The conclusions is that the pedagogues has probably not been problematized the phenomenon examined and say they do not adapt their teaching. In the interviews reveals information about the teaching method which, in my opinion, indicates that, unconsciously, adapting their teaching when they have second language students.

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.