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.

This is a literature study in which I investigate if there are scientific studies that form the basis of the Swedish dog world views concerning the spaying of bitches. The positive impacts are said to be reduced problems with pseudopregnancy, reduced risk of pyometra, reduced risk of mammary and uterine tumors, an earlier cease of bone growth, a more active and happier dog and a bitch who is more tolerant of other dogs. The negative consequences are said to be urinary incontinence, increased aggressiveness, lower metabolism and the increased risk of obesity, a more lethargic individual and altered coat.There are studies indicating that spaying reduces behavioral problems associated with heat and pseudopregnancy. Assuming no ovary tissue persists after the procedure, and there is no progesterone production, the risk of pyometra decreases. Early spaying, before the first heat, reduces the risk of mammary tumors.

The explosion of information technology has given users direct access to an ocean of information. Increased availability puts increasing demands on the ability of students and researchers to search for, filter, and structure information. In response, the role of the research library has shifted from being primarily an information resource to being an educational resource with a focus on teaching users what is known as information literacy. This thesis is a study of user-education at the Karolinska Institute Library KIB, the largest medical library in the Nordic countries. KIB has invested significant resources in developing user-education, and has a full-time user-education developer and a formal pedagogical platform for user-education.

Beacon AB has been producing Gobos for some time. A Gobo is a small round sheet used in projectors almost like a slide. It is used mostly in the commercial and entertainment business. Today these Gobos are created by using a film (also called mask). A digital exposure machine called LIOS has been developed to make it possible to create Gobos using direct exposure.

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.

Storage of biomass is associated with problems like heat development, biomasslosses, and reduction of the fuel quality. Certain processes such as biological- andchemical degradation are responsible for these storage problems. This master?sthesis was carried out at Vattenfall Research and Development AB and is alignedtowards quantifying the biomass losses from short-term storage (1-2 months) ofbark and recovered wood. The biomass was stored in outdoor piles during differentseasons, campaign 1 (summer) and campaign 2 (autumn).

One of the social services primary missions is to protect children from suffering harm. Social service work should work based on the child?s best and have the child's perspective in mind. In all cases involving children, the focus is on the child's needs and interests and is regulated in Convention on the Rights of the Child (CRC). Both of the previous research and this study reveal the various markers that are evident in the social services handling of honor related cases.

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.

Adherence to medical ordination is low and for long-time medication it is estimated to be as low as 50 percent. Depending on the prescribed drug this could lead to adverse effects and/or loss of effect of the drug. Information about why a drug is prescribed is important patient information and is thought to help increase compliance with the physician?s prescription. According to results from a recent study of visits to the emergency room at Karolinska Universitetssjukhuset in Solna, Stockholm, medically related problems were the cause in about 30 percent of the cases.

The main focus of this master?s thesis concerns the relation between subject representation, power and gender. Classification systems and subject heading lists are products of their cultural and social context and some subjects and disciplines are given a greater value than others. Our aim in this thesis is twofold; to discuss and critically analyse the prevailing gender norms that are expressed trough classification systems and subject heading lists and to examine how they manage to represent gender studies as a multidisciplinary subject in theory as well as in practice. We are also discussing the particular problems with the representation of multidisciplinary subjects in general.

A manufacturing machine at the engineering company Sandvik Coromant has a positioning table which task is to move an item linearly. The positioning table has a linear motor capable of high velocity and acceleration. This makes it possible to achieve short cycle times and a more profitable production.The purpose of this thesis is to bring forward a new concept which is more adapted to the requirements of the positioning table. The reason is that the current positioning table provides an unnecessarily positioning accuracy of 0.01 mm, while the requirement for the positioning accuracy is just 0.1 mm. The goal is to reduce manufacturing and component costs.To develop a suitable solution an approach for the concept development process has been performed.

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.