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.

Sahlgrenska Academyat University of GothenburgDepartment of internal medicine and clinical nutritionAbstractTitle: Does omega-3 mitigate skin symptoms in psoriatic patients? ? A systematic review about the effects of supplementationAuthor: Anita Borgmästars and Sara LinderSupervisor: Mette AxelsenExaminer: Anna WinkvistProgramme: Dietician study programme, 180/240 ECTSType of paper: Examination paper, 15 hpDate: May 22, 2012Background: Psoriasis is an inflammatory skin disease with high prevalency. Its treatment is time-consuming and associated with many side effects. Therefore alternative forms of treatment, among them omega-3 supplementation, have been investigated. Omega-3 is a family of polyunsaturated fatty acids whose metabolites participate in the regulation of inflammatory reactions in tissues and may therefore have a positive effect on skin symptoms in patients with psoriasis.Objective: To determine if omega-3 supplementation has a beneficial effect on skin symptoms in psoriasis compared to omega-6 supplementation by rating the evidence quality in available studies.Search strategy: The literature search was conducted in the databases PubMed, Scopus and Amed.

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.

In Sweden over 10.000 patients annually, mostly children, undergo tonsillar surgery. The most common surgical method is total removal of the tonsil, tonsillectomy (TE). During the last decade partial tonsil resection, tonsillotomy (TT), has been reintroduced and is associated with lower primary morbidity and less postoperative pain. The aim of the present study was to evaluate if and to what extent 4-5 year old children?s voice function are affected by tonsillar hypertrophy compared to controls and to study the effects of the two surgical techniques on vocal function.

Syftet med denna studie är att öka förståelsen för studierelaterad stress genom att höra och analysera gymnasieelevers beskrivningar av hur de själva upplever studierelaterad stress. Jag har använt mig av ett fenomenologiskt perspektiv då jag sökt svar på studiens frågeställningar med hjälp av den kvalitativa forskningsintervjun som metod. Resultatet visar att samtliga elever har erfarenhet av studierelaterad stress även om det enbart är kvinnorna som upplever hög grad av studierelaterad stress. Eleverna menar att stressen ofta är självförvållad. Dålig planering och betyg är vanliga stressfaktorer.

AbstractThe control of quality standard ISO 9001 has made the internal audit to be experienced as police authority and paragraph control. Because of that, motivation for internal auditors is low. To counteract the experience, there is a possibility to integrate internal audit with improvements in company?s processes. Theory has shown that a qualified and competent auditor can provide information that can help the organization's managements to make the right decisions that will improve product quality and result in new customer contracts.An opportunity to observe an internal and external audit at one of the case companies gave rise to this study.

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 study is to find the virtue ethics John Bunyan presents in Pilgrim´s Progress part 1, compared with the virtues Max Weber presents, and then try Weber´s theory on the empirical data, Pilgrim´s Progress. When I compare the virtues in Weber´s theory with the virtues in Pilgrim´s Progress, I interpret Weber´s theory as limited. From Weber´s theory emerges the puritan virtues: fulfillment of duty, struggle, self-control and live simply. He also mentions gratitude to God and helpfulness to other people, but this is shown through work in the society. These virtues can also be found in Pilgrim´s Progress.

A performance measurement system can be used as a means to evaluate past performances and to communicate prioritizations. It has also been proposed that a performance measurement system can serve as a method to execute strategies, guide in operational decisions and constitute a tool for making the organization more efficient. Yet one may question if such a system will ever reach this capacity if operating managers do not utilize it as a management tool, but rather treat it as a mere report in the bunch. This paper explores how middle managers in fact apply performance measures and what obstacles there are to integrating them in the management of subunits. Furthermore it serves to investigate whether these managers experience a conflict between how they are expected to use the measures and what they deem possible to adopt.

The purpose of this thesis is to examine the conflict of interest between shareholders, life insurance companies and insurers in stock life insurance companies operated on a mutual basis from an agency-theoretic perspective. Further, this thesis aims to explore from an ownership-theoretical perspective, why this conflict of interest exist. A qualitative research has been performed and the empirical data is foremost based on interviews with persons from the life insurance industry and public prints. The study concludes that the stock life insurance company operated on a mutual basis has two principals whose interests are in conflict. History has shown that stockowners? interests have been prioritized on the expense of the insurers.

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.