The current study aimed to test the public self-consciousness impact on creative performance. An experimental design was used in which 40 participants were randomly assigned to two groups, one of which was the experimental group and the other was the control group. A mirror was used in the experimental group to induce public self-consciousness among the participants while they performed creativity tests. A consequence test was used where the participant had to give suggestions for the given scenario "What would happen if everyone became blind?" which was then measured in the number of proposals (fluency).

Långvarig smärta är vanligt förekommande. När tillståndet hållit i sig en längre period resulterar det i en negativ inverkan på människan. Individen med långvarig smärta påverkas på många olika sätt så som fysiskt, pysiskt, emotionellt, mentalt och socialt. För att kunna hantera smärtan används copingstrategier av olika slag. De kan både ha en positiv eller en negativ påverkan på människan.

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.

Integration policies have failed to make diversity into anything more than occupying the same physical space. People of different cultural background still do not share their lives to any real extent. Attempts made within planning and landscape architecture to catalyst the integration process have mainly been focused on structural measures, such as residential policies. As for outdoor environments, non-verbal casual encounters in the shape of crossing paths are assumed to lie at the heart of urban social integration.The aim of the thesis is to question this assumption and, as the thesis will show, there is literature supporting this aim. Looking at the works of Gordon Allport, Lewis Coser and some of their followers, I find intercultural contact to require more complex ways of interaction in order to reduce prejudice and to generate tolerance and understanding.

SammanfattningInom den kommunala rehabiliteringen möter arbetsterapeuten personer med vitt skilda slag av sjukdomar och funktionsnedsättningar. En av de vanligare grupperna är personer, som av olika skäl drabbas av kognitiva nedsättningar. Arbetsterapeuten bedömer personer med kognitiva funktionsnedsättningar bl.a. med hjälp av olika bedömningsinstrument. Screening -instrumentet Mini Mental Test (MMT) är ett av de mest använda.

Bakgrund: Få studier har gjorts inom psykiatrisk omvårdnad med fokus på patientperspektivet. Detta perspektiv är dock viktigt då det ger en inblick i hur patienterna upplever den vård de erhåller. Syfte: Syftet var att beskriva hur patienter på en psykiatrisk vårdavdelning upplever det bemötande de får av avdelningens sjuksköterskor. Metod: Semistrukturerade intervjuer som sedan analyserades med hjälp av kvalitativ innehållsanalys. Resultat: Vid analys av materialet framkom fyra huvudkategorier som samlade de aspekter på bra och mindre bra bemötande som respondenterna beskrivit: Betydelsen av att bli sedd och bekräftad av personalen, Personalens agerande och attityder gentemot patienterna, Önskemål och förväntningar på personalen samt Hur icke-verbal kommunikation påverkar hur bemötandet upplevs.

Integration policies have failed to make diversity into anything more than occupying the same physical space. People of different cultural background still do not share their lives to any real extent. Attempts made within planning and landscape architecture to catalyst the integration process have mainly been focused on structural measures, such as residential policies. As for outdoor environments, non-verbal casual encounters in the shape of crossing paths are assumed to lie at the heart of urban social integration.The aim of the thesis is to question this assumption and, as the thesis will show, there is literature supporting this aim. Looking at the works of Gordon Allport, Lewis Coser and some of their followers, I find intercultural contact to require more complex ways of interaction in order to reduce prejudice and to generate tolerance and understanding.

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.