Musik är något som påverkar alla på ett eller annat sätt och har använts i terapeutiskt syfte sedan 1500 f. Kr. Även om den har en lång historia är den ändå inte allmänt vedertagen som en omvårdnadsåtgärd. Nästan varje dag möter sjuksköterskor patienter som i varierande grad upplever oro. Tidigare forskning visar att musik har inverkan på oro, men det är inte mycket beskrivet om sjuksköterskors erfarenhet av att använda musik som en komplementär omvårdnadsåtgärd vid oro och hur musiken påverkar sjuksköterskors arbetsmiljö.

Society is characterized by patterns of behavior and interaction that is created and recreated inthe interplay between individuality/collectivity and freedom/constraint, thus represents avariety of social issues and social phenomena. One of these phenomena is social supportexchanges and social capital. In order to obtain views on how this might appear in a specificsociety and contribute to the knowledge about social support exchanges and social capital, thisstudy was done with seven families in a village in Nepal. The village and the families gave aview and an example of how it might look in a place where social support exchanges plays acrucial role in this way of living. Through observations and interviews I have tried to make thesocial support exchange areas and meanings visibile.

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.

Föreliggande studies syfte var att undersöka behandlingseffekten av ett Internetbaserat självhjälpsprogram med e-poststöd, för personer med olika typer av ångestproblematik. Ett ytterligare syfte var att undersöka behandlingsresultaten när deltagaren själv fick förfoga över behandlingens upplägg och innehåll. Huvudkomponenten i behandlingen utgjordes av sammanlagt 16 moduler hämtade från tidigare Internetbehandlingar riktade mot social fobi, paniksyndrom, generaliserat ångestsyndrom samt depression.Behandlingsgruppen utgjordes av 27 individer som varit kontrollgrupp i en tidigare behandlingsstudie. För samtliga deltagare pågick behandlingen tio veckor. Beroendevariabler utgjordes av självskattningsformulären Clinical Outcome in Routine Evaluation ? Outcome Measure, Beck Anxiety Inventory, Montgomery Åsberg Depression Rating Scale ? Self Rated, Quality Of Life Inventory, resultat på SCID-intervjuer samt kodning av totala symtom.

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.

Integration is a concept that is very topical in today's multicultural-cultural society. Integration means that everyone should have the same rights, opportunities and obligations to society, regardless of extraction. What counteract integration is segregation, which implies a distinction between different groups and where there exist an inequality between them. Segregation is widespread in Sweden today and the exclusion that it creates needs to be broken. The aim of this paper is to examine if it is possible to promote integra-tion through physical planning.

This report deals with prefabricated bathrooms and the advantage, during the production process, they have compared to ordinary produced bathrooms.The work is done together with the building company JM. The common task is to investigate if the manufactures, in spite of standardized design can meet the concept of JM, i.e. high flexibility and adjustment towards the customer. In JM they are doubtful to the method, as they did not yet worked with prefabricated modules and think that the choises for the costumer will be limited.There will be a short resume of the progress of the bathrooms and its importance as sanitary and wellbeing.The recent problems with damage caused by damp in bathrooms. Have resultade in regulations.

Trading financial securities at stock exchanges and other authorized market places is today a particularly important socioeconomic phenomenon in many industrialized countries. A well functioning securities market is crucial for the economic development in these countries. The modern trading with stocks and other financial securities is characterized by the fact that the majority of the transactions at the stock exchanges are carried out through various intermediaries. The ultimate counterparties that are involved in a securities transaction (the seller and the buyer) are often unknown to each other. The anonymity in the securities trading implies several interesting legal problems.

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.

Bakgrund: Skolbarn kan utsättas för onödig smärta vid vaccinering vilket kan leda till ofullständigt vaccinationsskydd samt minskat förtroende för hälso- och sjukvårdspersonal. I Sverige vaccineras barn i skolålder av skolsköterskan. Vaccinationer är den vanligaste orsaken till procedursmärta hos barn. Syfte: Att beskriva skolsköterskans omvårdnadsåtgärder för att minska smärta och oro vid vaccinering. Metod: Studien genomfördes som en allmän litteraturstudie baserad på 14 artiklar som kvalitetsgranskades och analyserades.

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.