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.

Title: Hälsa i sociala medier - En kvalitativ studie om hur hälsoinformatörer upplever och påverkas  av hälsobudskap i sociala medier.Title: Health in social media - A qualitative study of how health communicators perceive and are affected by health messages in social media.Author: Anna HedströmInstitute: Karlstad University. Faculty of health, nature and engineering sciences.Tutor: Owe StråhlmanDate: 150615Number of pages: 34Keywords: eHealth literacy, health communication, health informers, health literacy, health messages, media literacy, social media Background: With an increased interest in diet and exercise, also health and fitness messages have increased in both traditional and social media. The general guidelines on physical activity and diet are forgotten as training tips increase in the media. Research shows that it is common for individuals to retrieve information from the media when it comes to their own health. In doing so media literacy, health literacy and eHealth literacy becomes increasingly important for health communicators and for those who receive health information. Objectives: The aim of this study was to examine health communicators? experiences of health messages in social media, and how they are affected by them. Method: Qualitative interviews were chosen as a method to collect data.

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.

Health is a complex concept and therefore difficult to define. The concept today playsan important role in society as well as in school, due to the inactivity of today?s youth. Thelatest curriculum for the compulsory school, Lpo 94, has increased the focus on the concept ofhealth, as a part of the physical education, but how the teacher chooses to construct theeducation is still up to each individual, which leads to a vast room for personal interpretation.This is the starting-point of our qualitative, ethnographical, study, that has resulted inthis composition. By passively participating during four lessons as well as interviewing twoteachers in physical education we have been able to analyse how the education regarding theconcept of health was constructed.

The transition from paper to electronic journals in induces a major change in academic libraries. The library must focus on customising the service to meet user needs in order to compete with other actors on the market. This situation entails the need for a marketing and management approach in library organisations. Linda Ashcroft has in previous research focused on marketing of electronic journals. She has stated the importance of simplifying the user environment of electronic journals and the importance of regaining control over electronic journals from publishers and vendors.

Vi behandlar i den här rapporten Englandslanseringen av popbandet The Flaming Moes. Rapporten beskriver hur en promotionturné utformas med hjälp av ett independentbolag, hur kontakter med skivbolag, promotionbolag och publik sköts, samt hur lanseringen utmynnar i ett skivsläpp. Rapporten beskriver författarnas upplevelser kring hur en dylik lansering kan och bör se ut, utefter de erfarenheter man tillskansat sig under arbetets gång. Den behandlar även frågor kring samarbeten med ett engelskt skivbolag, och hur detta påverkar bandets eventuella framgång i England, samt hur Englandslanseringen påverkar bandets tillgång till utrymme i svensk media. Rapporten sätter fokus på viktiga frågor vid en promotionturné, såsom promotors, skivförsäljning, promotion, logistik och boende samt kontaktskapande.

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.

AbstractAuthorJohanna Rahl and Marie Johansson.TitleHelsingborg-Ängelholm, a comparison of the work of the municipalities regarding self generated health care activities for employed teachers.ContentToday you pay more and more attention to self generated health care. Political decisions affect the social development and thereby also conditions for people to feel healthy. As the municipalities are working with its inhabitants they are an important part of the self generated health care activities. The most part of our life we spend in school or at work and this is the reason why these places are the most suitable to create healthy people. From these thoughts we created the following aim of the study:?The aim of this study is to investigate what kind of work regarding self generated health care that is performed by the municipalities of Helsingborg and Ängelholm towards the employed teachers and how the teachers apprehend this work.

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 western societies is characterized by a strong future concern and the members of the society are valued most of all according to their capability to produce. In our time the elder ness is representing a rapidly increasing number of relatively well kept elders. What sight of the future does the aging human have? Are one meditating of what kind of service and care one are going to need? The purpose with this study was to describe how individuals in ages between 60 and 96 sees, both the future and their coming need for care in relation to sex, age, social activities and experienced health. The material was taken from ?SNAC-Blekinge? witch is a part of a bigger national study; SNAC (The Swedish National study on Aging and Care).

Bakgrund:Fysisk inaktivitet orsakar ohälsa och sjukdom i dagens samhälle. I Sverige introducerades, år 2001, fysisk aktivitet på recept (FaR) som en metod för att öka den fysiska aktiviteten bland befolkningen. Att undersöka hur distriktssköterskan uppfattar FaR är värdefullt eftersom det är en metod som distriktssköterskan kan använda i det hälsofrämjande arbetet. Syfte: Syftet med studien var att beskriva distriktssköterskors uppfattningar om fysisk aktivitet på recept (FaR). Metod: Semistrukturerade intervjuer med 18 distriktssköterskor genomfördes.

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.