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.

Syfte och frågeställningarHuvudsyftet med denna studie var att klargöra huruvida intaget av mättat fett påverkar risken för att drabbas av, eller avlida i hjärt- och kärsjukdom. Ett annat syfte var att undersöka om intaget av fleromättat fett eller en kost med hög kvot av fleromättat fett/mättat fett (FM/M) fungerar som prevention mot hjärt- och kärlsjukdomar. Frågeställningarna var följande;Påverkar intaget av mättat fett risken att drabbas av hjärt- och kärlsjukdom?Påverkar intaget av mättat fett risken att dö i hjärt- och kärlsjukdom?Kan intag av fleromättat fett eller en kost med hög FM/M kvot fungera som prevention mot hjärt- och kärlsjukdomar?MetodLitteratur utgivna fr.o.m. 1 januari 1999 t.o.m.

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.

Förekomst av trycksår utgör ett omfattande problem inom hälso- och sjukvården fortfarande trotskunskap om förebyggande faktorer som presenteras i litteraturen. Detta medför att detförebyggande omvårdnadsarbetet avseende trycksår även i fortsättning kan vara en mycketangelägen fråga för sjuksköterskan. Syftet i föreliggande studie är därför att belysaomvårdnadsåtgärder som kan utföras i vårdbädden för att förebygga trycksår hos äldre.Litteraturstudie valdes som metod. Sökorden; pressure ulcer, prevention, bed and mattresses,scoles, skin-care, decubitus ulcer, aged och nursing används. För att elektronisk söka relevanta,vetenskapliga artiklar i databaserna CINAHL och MEDLINE.

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.

With the introduction of IFRS, the IASB left the previously used method of amortization and instead introduced fair value. Studies show that firms manipulate the value of goodwill based on agency related incentives and opportunities, such as bonus payment, management tenure and acquisition of firms. The responsibility of checking the quality of financial reports, and give other market participants reasons to trust them, is primarily on accountants. The transition to fair value thus creates a problem for accountants to actually check the fair values produces by firms. Our purpose is to investigate whether the working method of accountants is purposeful in order to maintain the credibility of goodwill values.

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.

Intranet is today a common technical groupware to communicate in many organisations. People can interact through the Intranet and communicate within the organization and get relevant information according to their workplace. It can be difficult to get everybody to use the Intranet as an information- and communication tool. This causes problems when people want to reach out with information. With these thoughts we entered our work at Luftfartsverket at Arlanda airport.

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.

ABSTRACTElin Johansson, Hanna Johansson, Camilla Nilsson Say something interesting! A qualitative study of marketing communication on Facebook                               Pages: 36With the emergence of social media, new ways has been created for companies to reach out to its audience. From being dependent on journalists to provide information, companies today have the ability to self-publish information in the open media channels. The use of social media should not replace traditional marketing communication though, but works best as a complement. It is a new environment that requires the company to adapt its working methods. Although the work is different, it is important that companies see social media as part of the overall marketing communication and not as a separate project. The purpose of this paper is to study recipient?s experience of company?s communications in social media. We have chosen to relate this to the instructions on methods of marketing communication and social media marketing as found in literature on the subject. This is to examine whether firms achieve the desired effect of the methods that are considered most appropriate. Does the message reach out? The focus of this study is marketing communication in the social media Facebook. The study consists of qualitative interviews to illuminate the recipients' views and experiences, as well as a literature study from the theoretical perspective of the sender of marketing communication in social media. The results showed that business as well as audience must interact in a functional relationship in social media. Companies should be more like the customer they are trying to reach. If companies choose to expose themselves in social media, time must be given to this, which is what the audience expects. Key words: Marketing communication, social media, social media marketing, Facebook, recipients, sender.

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.